Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. NSF GRF Webinar (September 3, 2020 4:00pm) https://events.umich.edu/event/76148 76148-19669618@events.umich.edu Event Begins: Thursday, September 3, 2020 4:00pm
Location: Off Campus Location
Organized By: Office of National Scholarships & Fellowships (ONSF)

REGISTER HERE: https://myumi.ch/wlKOk

NSF Graduate Research Fellowships provides $138,00 for research-based masters and PhD students in STEM and Social Science fields (three-year annual stipend of $34,000 along with a $12,000 cost of education allowance for tuition and fees paid to the graduate institution).

This webinar is for undergraduate seniors, 1st and 2nd year graduate students in NSF-approved fields (see the NSF-GRFP webpage for a list of fields). Rising juniors who may apply in the future are also welcome. Applicants must be US citizens or permanent residents. Applicants from backgrounds traditionally underrepresented in their fields are especially encouraged to apply. For more information about eligibility, please see this NSF video: https://vimeo.com/361402315

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Livestream / Virtual Wed, 26 Aug 2020 12:25:59 -0400 2020-09-03T16:00:00-04:00 2020-09-03T17:00:00-04:00 Off Campus Location Office of National Scholarships & Fellowships (ONSF) Livestream / Virtual NSF Webinar
MIDAS Faculty Research Pitch (September 9, 2020 1:30pm) https://events.umich.edu/event/75915 75915-19623831@events.umich.edu Event Begins: Wednesday, September 9, 2020 1:30pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Please join us for the very first MIDAS faculty research pitch session. Find out about exciting data science research that is happening at U-M, explore collaboration opportunities and student research opportunities. Faculty members will each give a 3-minute lightning talk, and there will be a 30-minute networking session. All U-M faculty, staff and students are welcome to attend.

Faculty Presenters:

Peter Adriaens, Professor, Civil & Environmental Eng/Business/SeAS
Syagnik Banerjee, Professor, Department of Management and Marketing, School of Management, University of Michigan Flint
Shan Bao, Associate Professor, UMTRI; UM-Dearborn
Albert Berahas, Assistant Professor, Industrial and Operations Engineering
Lei Chen, Assistant Professor, Mechanical Engineering at UM-Dearborn
Keyvn Collins-Thompson, Associate Professor, School of Information
Paramveer Dhillon, Assistant Professor, School of Information
Ivo Dinov, Professor, Nursing/Medicine
Salar Fattahi, Assistant Professor, Industrial and Operations Engineering
Fred Feng, Assistant Professor, Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn
Jaerock Kwan, Assistant Professor, Electrical and Computer Engineering, EECS
Robert Manduca, Assistant Professor, Sociology, LSA
Murali Mani, Associate Professor, Computer Science, University of Michigan, Flint
Charles Mayo, Professor, Radiation Oncology
Mark Van Oyen, Professor, IOE, College of Engineering
Atul Prakash, Professor, Computer Science and Engineering
Greg Rybarczyk, Associate Professor, University of Michigan-Flint
Perry Samson, Professor, Climate and Space Sciences and Engineering, Engineering
Yulia Sevryugina, Senior Associate Librarian, Library

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Lecture / Discussion Thu, 20 Aug 2020 15:38:16 -0400 2020-09-09T13:30:00-04:00 2020-09-09T15:00:00-04:00 Off Campus Location Michigan Institute for Data Science Lecture / Discussion MIDAS Faculty Research Pitch
EER Seminar Series (September 9, 2020 3:30pm) https://events.umich.edu/event/76055 76055-19661498@events.umich.edu Event Begins: Wednesday, September 9, 2020 3:30pm
Location: Off Campus Location
Organized By: Engineering Education Research

There is a significant knowledge gap regarding factors that influence the participation of Black and Hispanic women in computer science, and Dr. Ross has engaged in research to address this gap. She works to critically examine efforts and initiatives that aim to broaden participation in computer science by listening to voices of individuals who are often unheard. The outcomes of Dr. Ross’ research have the potential to reshape the community’s perceptions of what and who are computer scientists, and as well as to crack the code to diversifying this lucrative and impactful discipline. This talk will describe Dr. Ross’ research journey and will present preliminary results.

BIOGRAPHICAL SKETCH: Monique Ross, Assistant Professor in the School of Computing & Information Sciences and in the STEM Transformation Institute at Florida International University, earned a Ph.D. in Engineering Education from Purdue University. She has a B.S. degree in Computer Engineering from Elizabethtown College, an M.S. degree in Computer Science & Software Engineering from Auburn University, eleven years of experience in industry as a software engineer, and four years of experience as a full-time faculty member in computer science and engineering. Dr. Ross’ interests focus on broadening participation in computing through the exploration of: 1) race, gender, and identity in the academy and industry; and 2) discipline-based education research (with a focus on computer science and computer engineering courses) in order to inform pedagogical practices that garner interest and retain women and minorities in computer-related engineering fields. She was awarded the prestigious NSF CAREER award, and she uses her scholarship to challenge the perceptions of who belongs in computing.

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Lecture / Discussion Tue, 25 Aug 2020 09:42:16 -0400 2020-09-09T15:30:00-04:00 2020-09-09T16:30:00-04:00 Off Campus Location Engineering Education Research Lecture / Discussion Monique Ross, Florida International University
DCMB / CCMB Weekly Seminar Series (September 9, 2020 4:00pm) https://events.umich.edu/event/76946 76946-19780535@events.umich.edu Event Begins: Wednesday, September 9, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: Birth defects that interfere with craniofacial development can result in cognitive, neurosensory, and neuroendocrine defects that create life-long burdens for care. The forebrain, midbrain, hindbrain, five facial prominences, and pituitary gland develop between the first and second month of gestation in humans. Genetic defects that disrupt these processes cause a spectrum of disorders that range from holoprosencephaly (HPE) and septo-optic dysplasia (SOD) to pituitary hormone deficiencies. We screened a large cohort of Argentinean patients with congenital hypopituitarism and related disorders for mutations in known genes and identified novel pathogenic variants and examples of digenic disease. However, the majority of patients did not receive a molecular diagnosis, indicating the high degree of genetic complexity underlying these disorders and the need for additional gene discovery. The majority of known hypopituitarism genes were discovered through basic research in pituitary cell lines and mutant mice. To identify novel regulatory genes for pituitary organogenesis we analyzed differential binding of a key pituitary-specific transcription factor, POU1F1, in cell lines that represent pituitary progenitors and differentiated cells. We discovered that POU1F1 binding is associated with bZIP transcription factors in progenitors and with bHLH factors in differentiated cells. We also applied single cell RNA sequencing technology to analyze gene expression during pituitary organogenesis and discovered novel transcription factors that are candidates for driving cell specification as well as unique, rare cell types that are likely differentiation intermediates. Bioinformatic analyses have played key roles in advancing our knowledge of neuroendocrine birth defects and normal pituitary organogenesis.

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Lecture / Discussion Wed, 09 Sep 2020 08:26:42 -0400 2020-09-09T16:00:00-04:00 2020-09-09T17:00:00-04:00 Off Campus Location DCMB Seminar Series Lecture / Discussion Sally Camper, Ph.D., Margery Shaw Distinguished University Professor of Human Genetics, Professor of Internal Medicine, University of Michigan
UM::Autonomy Mass Meeting (September 10, 2020 7:30pm) https://events.umich.edu/event/76993 76993-19784528@events.umich.edu Event Begins: Thursday, September 10, 2020 7:30pm
Location: Off Campus Location
Organized By: UM::Autonomy

This Thursday from 7:30-9:00 p.m. we'll be having our mass meetings, which is a chance for you to hear more about the team, what you can do, then ask any questions you have in subteam-specific breakout rooms. If you're unable to make the meeting, here's a link to the slides, but don't hesitate to reach out with any questions you have!

https://docs.google.com/presentation/d/18MnLb33iimMnMuDX2FTZ7MAjXDKceB_sIlt6SxX0DuM/edit?usp=sharing

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Rally / Mass Meeting Wed, 09 Sep 2020 23:36:33 -0400 2020-09-10T19:30:00-04:00 2020-09-10T21:00:00-04:00 Off Campus Location UM::Autonomy Rally / Mass Meeting UM::Autonomy Logo
Identifying Emergency Funds and How to Advocate for Making Room in Your Financial Aid Package (September 11, 2020 2:00pm) https://events.umich.edu/event/75507 75507-19513173@events.umich.edu Event Begins: Friday, September 11, 2020 2:00pm
Location: Off Campus Location
Organized By: CEW+

Advance registration is required; look for the Zoom link at the bottom of your confirmation email after registering.

This session will provide information about how you can seek emergency funds should you experience an emergency situation or one-time, unusual, unforeseen expense while in school. Information about the types of situations that qualify for emergency funds and where to seek funding will be covered during this presentation.

RSVP HERE: http://www.cew.umich.edu/events/identifying-emergency-funds-and-how-to-advocate-for-making-room-in-your-financial-aid-package

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Livestream / Virtual Tue, 18 Aug 2020 14:02:34 -0400 2020-09-11T14:00:00-04:00 2020-09-11T15:00:00-04:00 Off Campus Location CEW+ Livestream / Virtual A jar of spilled change
LHS Collaboratory Seminar Series Virtual Kick-Off: Academic Medical Centers as Learning Health Systems (September 17, 2020 9:00am) https://events.umich.edu/event/75856 75856-19615923@events.umich.edu Event Begins: Thursday, September 17, 2020 9:00am
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Learning Health Systems (LHS) methods are now being implemented in interesting and varying ways by academic health centers and their clinical and translational science institutes across the country.
According to the Agency for Healthcare Research and Quality (AHRQ), the following are key attributes of Learning Health
Systems:

• Having leaders who are committed to a culture of continuous learning and improvement
• Systematically gathering and applying evidence in real-time to guide care
• Employing IT methods to share new evidence with clinicians to improve decision-making
• Promoting the inclusion of patients as vital members of the learning team
• Capturing and analyzing data and care experiences to improve care
• Continually assessing outcomes, refining processes and training to create a feedback cycle for learning and improvement

The LHS Collaboratory's fall seminar series virtual kick-off event will showcase the LHS experiences of three research-intensive academic centers that have been promoting LHS methods. We will be joined by distinguished senior colleagues from Duke,Vanderbilt, and Washington University, who will describe and discuss their institutions' work in this area. They will discuss strategies employed, investments made, challenges encountered, and successes achieved.

Panelists:
Kevin B. Johnson, MD, MS, FAAP, FACMI, Vanderbilt University
Christopher J. Lindsell, PhD, Vanderbilt University
Philip Payne, PhD, FACMI, Washington University
Michael Pencina, PhD, Duke University
Eric G. Poon, MD, MPH, Duke University

Discussant:
Carol R. Bradford, MD, MS, Executive Vice Dean for Academic Affairs, University of Michigan Medical School, Chief Academic Officer, Michigan Medicine, Professor of Otolaryngology-Head and Neck Surgery

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Lecture / Discussion Thu, 20 Aug 2020 09:45:31 -0400 2020-09-17T09:00:00-04:00 2020-09-17T11:00:00-04:00 Off Campus Location Department of Learning Health Sciences Lecture / Discussion LHS Collaboratory Logo-blocks
CogSci Community (CSC) Mass Meeting (September 17, 2020 5:00pm) https://events.umich.edu/event/77214 77214-19822159@events.umich.edu Event Begins: Thursday, September 17, 2020 5:00pm
Location: Off Campus Location
Organized By: Weinberg Institute for Cognitive Science

Join us on Thursday (9/17) 5-6pm for our Mass Meeting — Quickly drop by to meet the eboard team, have a look at our upcoming events, or find out ways you can get involved. Details below.
Zoom link: https://umich.zoom.us/j/96892952178
Passcode: cogsci
Also, see important links to stay connected with CSC and other cool opportunities in the future.
Slack: https://join.slack.com/t/cogscicommunity/shared_invite/zt-5jabx9rb-2T5j4DtuKKTS~vtcpr58fQ
Instagram: @cogscicmty_umich https://www.instagram.com/cogscicmty_umich/
Website: https://sites.google.com/umich.edu/cogscicmty/
Facebook: https://www.facebook.com/groups/cogscicmty

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Rally / Mass Meeting Mon, 14 Sep 2020 14:17:22 -0400 2020-09-17T17:00:00-04:00 2020-09-17T18:00:00-04:00 Off Campus Location Weinberg Institute for Cognitive Science Rally / Mass Meeting CSC logo
NASA Jet Propulsion Laboratory (JPL) Info Session, Hosted by TBP (September 17, 2020 6:00pm) https://events.umich.edu/event/76510 76510-19719169@events.umich.edu Event Begins: Thursday, September 17, 2020 6:00pm
Location: Off Campus Location
Organized By: Tau Beta Pi

The Jet Propulsion Laboratory—we call it JPL, or simply the Lab—is a federally funded research and development center (FFRDC) for robotic space and Earth science missions. It is a unique national research facility in Pasadena, CA managed for NASA by Caltech.

Join us for an in-depth look at what JPL has to offer in career opportunities. Learn more about the company, culture, projects, and career trajectory of our employees. Technical representatives from Engineering, Science, and Research will be sharing about their experiences. Q&A and Trivia with prizes as well.

New ideas are all around us, but only a few will change the world. That's our focus at JPL. We ask the biggest questions, then search the universe for answers--literally. You could be working on the next mission to Mars, Europa, and beyond. We hire the best and brightest minds to power our world-leading innovation, solving technical and scientific problems of national significance.

Positions Recruiting: Full-time, Intern, Co-op
Degrees Recruiting: Bachelor’s, Master’s, Ph.D.
Majors Recruiting: Aerospace Engineering, Computer Engineering, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering
Citizenship Requirements: U.S. Citizenship or Permanent Resident
Collecting Resumes: Yes

Register Here: https://jpl.recsolu.com/external/events/M8v6LaUKWLvhDWCb318l5A
A Zoom link will be emailed to you upon registration.

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Careers / Jobs Tue, 01 Sep 2020 19:39:51 -0400 2020-09-17T18:00:00-04:00 2020-09-17T19:00:00-04:00 Off Campus Location Tau Beta Pi Careers / Jobs Image of Mars Rover, with text "University Recruiting - Virtual Jet Propulsion Laboratory Information Session. September 17 | 6:00pm EST"
Spotlight! Team Project Showcase and Scholarship Competition 2020 (September 18, 2020 11:00am) https://events.umich.edu/event/76967 76967-19782528@events.umich.edu Event Begins: Friday, September 18, 2020 11:00am
Location: Off Campus Location
Organized By: Tauber Institute for Global Operations

Spotlight! Team Project Showcase and Scholarship Competition is a competitive presentation of operations and manufacturing solutions developed by Tauber Institute student teams from their 14-week team projects. At Spotlight!, students showcase their project results and compete for academic scholarships.

Spotlight! is an excellent opportunity to establish relationships with students and corporate partners, expand your university presence, and see many new ideas in operations and manufacturing.

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Presentation Wed, 09 Sep 2020 14:30:43 -0400 2020-09-18T11:00:00-04:00 2020-09-18T17:00:00-04:00 Off Campus Location Tauber Institute for Global Operations Presentation Spotlight! 2020
DCMB / CCMB Weekly Virtual Seminar featuring Gioele La Manno, Ph.D. (EPFL Life Sciences Early Independent Research Scholar (ELISIR) (September 18, 2020 12:00pm) https://events.umich.edu/event/77057 77057-19836073@events.umich.edu Event Begins: Friday, September 18, 2020 12:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

I will present our comprehensive single-cell transcriptome atlas of mouse brain development spanning from gastrulation to birth. In this atlasing effort, we identified almost a thousand distinct cellular states, including the initial emergence of the neuroepithelium, different glioblasts, and a rich set of region-specific secondary organizers that we localize spatially. In this context, I will provide an example of how the spatially-resolved transcriptomic data can be particularly useful to interpret the complexity of such complex atlases.

Continuing in this direction, I will show the approach that we recently proposed as a general way to spatially resolve different types of next-generation sequencing data. We designed an imaging-free framework to localize high throughput readouts within a tissue by combining compressive sampling and image reconstruction. Our first implementation of this framework transformed a low-input RNA sequencing protocol into an imaging-free spatial transcriptomics technique (STRP-seq).

Finally, I will showcase the technique with the profiling of the brain of the Australian bearded dragon Pogona vitticeps. With this analysis, we revealed the molecular anatomy of the telencephalon of this lizard and provided evidence for a marked regionalization of the reptilian pallium and subpallium.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Lecture / Discussion Wed, 16 Sep 2020 11:27:53 -0400 2020-09-18T12:00:00-04:00 2020-09-18T13:00:00-04:00 Off Campus Location DCMB Seminar Series Lecture / Discussion Gioele La Manno, Ph.D. (EPFL Life Sciences Early Independent Research Scholar (ELISIR) École polytechnique fédérale de Lausanne ‐ EPFL Swiss Federal Institute of Technology Lausanne)
EER Seminar Series (September 23, 2020 3:30pm) https://events.umich.edu/event/77085 77085-19796480@events.umich.edu Event Begins: Wednesday, September 23, 2020 3:30pm
Location: Off Campus Location
Organized By: Engineering Education Research

Much of the conversation on equity and inclusion centers on the need to “increase” something—the marginalized student population, mentoring programs, engagement opportunities, “knowledge” of topics like white privilege. However, few conversations focus on a much harder truth—that the culture of whiteness and maleness in engineering limits sustained improvement in equity and inclusion efforts of most institutions. Using preliminary findings from their current NSF-funded project called “I-MATTER,” Drs. Masta and Pawley examine how engineering culture has normalized racism and sexism for underrepresented students in engineering contexts. Through their discussion, they will highlight the strong need for more BIPOC (Black, Indigenous, and People of Color) researchers in white spaces, and encourage white researchers to “stay in their lanes” when approaching equity and inclusion research.

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Lecture / Discussion Mon, 21 Sep 2020 09:15:05 -0400 2020-09-23T15:30:00-04:00 2020-09-23T16:30:00-04:00 Off Campus Location Engineering Education Research Lecture / Discussion Drs. Stephanie Masta & Alice Pawley
DCMB / CCMB Weekly Virtual Seminar (September 23, 2020 4:00pm) https://events.umich.edu/event/77143 77143-19798542@events.umich.edu Event Begins: Wednesday, September 23, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Talk title: Decision Support System Applications in Dentistry

Dr. Lucia Cevidanes is the Thomas and Doris Graber Professor of Dentistry and Associate Professor at the Department of Orthodontics at the University of Michigan, and a Diplomate of the American Board of Orthodontics. She is a practicing clinician who has published over 150 manuscripts on 3D imaging for which she has received research grants from the American Association of Orthodontics Foundation and the National Institute of Dental and Craniofacial Research. Her work has been recognized by the American Association of Orthodontists Thomas M. Graber Award, the B F Dewel Award, Milo Hellman Award, and the Wuehrmann award from the American Academy of Oral and Maxillofacial Radiology. Her interests include Artificial Intelligence and 3D Imaging to solve difficult clinical problems in dentistry, studying current and new treatment approaches and technical procedures, and understanding treatment outcomes for craniofacial anomalies and dentofacial deformities.

Zoom Link: https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Lecture / Discussion Fri, 11 Sep 2020 15:27:53 -0400 2020-09-23T16:00:00-04:00 2020-09-23T17:00:00-04:00 Off Campus Location DCMB Seminar Series Lecture / Discussion Dr. Lucia Cevidanes is the Thomas and Doris Graber Professor of Dentistry and Associate Professor at the Department of Orthodontics at the University of Michigan
Hanley, Flight & Zimmerman Information Session, Hosted by TBP (September 23, 2020 5:30pm) https://events.umich.edu/event/77102 77102-19796508@events.umich.edu Event Begins: Wednesday, September 23, 2020 5:30pm
Location: Off Campus Location
Organized By: Tau Beta Pi

We are a boutique patent law firm located in the heart of Chicago and we practice patent prosecution and counseling for large Fortune 500 companies. Learn about Patent Law and the role of an engineer at a patent law firm.

Join Recruitment Manager, Bill O'Connor, and HFZ Patent Agent and U of M Biomedical Engineering Alumnus, Sophia Pilipchuk, in a discussion exploring the role of an engineer working at a professional patent law office. How are your engineering skills utilized in this unique career path and what is the trajectory of a patent engineer in the Intellectual Property industry? Interested in being exposed to the latest cutting edge technology? All will be discussed at this information session.

Handshake RSVP Link: https://app.joinhandshake.com/events/570177

Positions Recruiting: Full-time, Intern
Degrees Recruiting: Bachelor’s, Master’s, Ph.D.
Majors Recruiting: Biomedical Engineering, Computer Engineering, Computer Science, Electrical Engineering, Mechanical Engineering
Citizenship Requirements: U.S. Citizenship or Permanent Resident
Collecting Resumes: Yes

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Careers / Jobs Fri, 11 Sep 2020 11:45:44 -0400 2020-09-23T17:30:00-04:00 2020-09-23T18:30:00-04:00 Off Campus Location Tau Beta Pi Careers / Jobs
Saltiel Life Sciences Symposium 2020 (September 29, 2020 2:00pm) https://events.umich.edu/event/72207 72207-19655364@events.umich.edu Event Begins: Tuesday, September 29, 2020 2:00pm
Location: Off Campus Location
Organized By: Life Sciences Institute (LSI)

The 2020 Saltiel Life Sciences Symposium will explore innovative and creative research already taking place using unique model systems, and consider all we have yet to learn from the innumerable unexplored model systems — many of which are disappearing at alarming rates as a result of global climate change.

Schedule: Tuesday, September 29

2:00 p.m. | Welcome

Talk Session 1: Human Adaptation and Evolution
2:10 p.m. | Mary Sue and Kenneth Coleman Life Sciences Lecture — Genomic evolution and adaptation in Africa: Implications for health and disease
Sarah A. Tishkoff, Ph.D.
David and Lyn Silfen University Professor, Departments of Genetics and Biology; Director, Center for Global Genomics & Health Equity, Department of Genetics, Perelman School of Medicine, University of Pennsylvania

Talk Session 2: Social Biomimicry
3:10 p.m. | Towards living robots: Using biology to make better machines (full lecture)
Barry A. Trimmer, Ph.D.
Henry Bromfield Pearson Professor of Natural Sciences; Director, Neuromechanics and Biomimetic Devices Laboratory, Tufts University

4:05 p.m. | How the physics of slithering can teach multilegged robots to walk (short talk)
Shai Revzen, Ph.D.
Assistant Professor, Electrical Engineering and Computer Science, University of Michigan

4:25 p.m. | What wasps can teach us about the evolution of animal minds (full lecture)
Elizabeth Tibbetts, Ph.D.
Professor, Associate Chair for Research Facilities, Ecology and Evolutionary Biology, University of Michigan

5:20 p.m. | Day 1 Closing Remarks


Schedule: Wednesday, September 30

9:00 a.m. | Welcome

Talk Session 3: Biological Control of Disease Vectors
9:05 a.m. | Breaking up Anopheles-Plasmodium interactions for malaria control (full lecture)
Flaminia Catteruccia, Ph.D.
Professor, Immunology and Infectious Disease, Harvard University

10:00 a.m. | Cryopreservation of multicellular animals: Lessons from extreme insects (short talk)
Nicholas Teets, Ph.D.
Assistant Professor, Department of Entomology, University of Kentucky

10:20 a.m. | Break

10:35 a.m. | Transgenic fungi for mosquito control (full lecture)
Raymond St. Leger, Ph.D.
Professor, Entomology, University of Maryland

11:30 a.m. | Recombination versus mutation as the fuel for rapid evolution across the fungal tree of life (short talk)
Timothy James, Ph.D.
Associate Professor, Lewis E. Wehmeyer and Elaine Prince Wehmeyer Professor in the Taxonomy of Fungi, Ecology and Evolutionary Biology, University of Michigan

11:50 a.m. | Building a moving wall: Maintaining cell wall polarity during tip growth (short talk)
Cora MacAlister, Ph.D.
Assistant Professor, Department of Molecular, Cellular, and Developmental Biology, University of Michigan

12:10 p.m. | Closing remarks

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Conference / Symposium Wed, 09 Sep 2020 16:23:00 -0400 2020-09-29T14:00:00-04:00 2020-09-29T17:30:00-04:00 Off Campus Location Life Sciences Institute (LSI) Conference / Symposium Saltiel Life Sciences Symposium: Biodiversity in Biological Research
ECE Open House (September 29, 2020 3:00pm) https://events.umich.edu/event/77196 77196-19820180@events.umich.edu Event Begins: Tuesday, September 29, 2020 3:00pm
Location: Off Campus Location
Organized By: Electrical and Computer Engineering

As a new Michigan engineer you have several areas to choose from and sometimes, those options can be confusing and overwhelming. ECE is hosting an open house to share more about electrical and computer engineering and what opportunities are available to our students.

So what exactly do electrical and computer engineers do? We do everything! We are there in all electronic devices (cell phones, computers, cars, appliances, etc). We are in electronic communication, networking, power, energy, sensors, and much more. We make things smart - we make them move. We send and decode information - we connect people and things. And we light up the world - efficiently of course!

Attendees will hear remarks from EECS Prof. Pei-Cheng Ku and a few current students, and see some virtual lab tours and learn more about the incredible research happening in our building.

RSVP on the ECE website to receive Zoom event information. Questions can be directed to Ann Stals (amriggs). We hope to see you there!

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Livestream / Virtual Mon, 14 Sep 2020 10:44:12 -0400 2020-09-29T15:00:00-04:00 2020-09-29T16:00:00-04:00 Off Campus Location Electrical and Computer Engineering Livestream / Virtual graphic banner
Bioethics Discussion: Artificial Intelligence (September 29, 2020 7:00pm) https://events.umich.edu/event/58828 58828-14563719@events.umich.edu Event Begins: Tuesday, September 29, 2020 7:00pm
Location: Lurie Biomedical Engineering
Organized By: The Bioethics Discussion Group

A discussion on how we know machines know.

Here are a few readings to consider:
––Ethical Issues of Artificial Intelligence in Medicine
––Regulatory responses to medical machine learning
––Will artificial intelligence solve the human resource crisis in healthcare?
––Medical ethics considerations on artificial intelligence

For more information and/or to receive a copy of the readings visit http://belmont.bme.umich.edu/bioethics-discussion-group/discussions/047-artificial-intelligence/.

––

While people are still allowed on campus, discussions will be held on the front lawn of Lurie Biomedical Engineering building. Participants will be asked to enter the area via a “welcome desk” where there will be hand sanitizer, wipes, etc. Participants will be masked, at least 12 feet from one another, and speaking through megaphones with one another. In accordance with public health mandates and guidance, participation will be limited to 20 individuals who sign up to participate ahead of time.

Sign up here: https://belmont.bme.umich.edu/ask-your-questions-to-ponder/

––
One's intelligence might be artificially enhanced by the blog: https://belmont.bme.umich.edu/incidental-art/

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Lecture / Discussion Tue, 25 Aug 2020 11:09:51 -0400 2020-09-29T19:00:00-04:00 2020-09-29T20:30:00-04:00 Lurie Biomedical Engineering The Bioethics Discussion Group Lecture / Discussion Artificial Intelligence
Saltiel Life Sciences Symposium 2020 (September 30, 2020 9:00am) https://events.umich.edu/event/72207 72207-17957294@events.umich.edu Event Begins: Wednesday, September 30, 2020 9:00am
Location: Off Campus Location
Organized By: Life Sciences Institute (LSI)

The 2020 Saltiel Life Sciences Symposium will explore innovative and creative research already taking place using unique model systems, and consider all we have yet to learn from the innumerable unexplored model systems — many of which are disappearing at alarming rates as a result of global climate change.

Schedule: Tuesday, September 29

2:00 p.m. | Welcome

Talk Session 1: Human Adaptation and Evolution
2:10 p.m. | Mary Sue and Kenneth Coleman Life Sciences Lecture — Genomic evolution and adaptation in Africa: Implications for health and disease
Sarah A. Tishkoff, Ph.D.
David and Lyn Silfen University Professor, Departments of Genetics and Biology; Director, Center for Global Genomics & Health Equity, Department of Genetics, Perelman School of Medicine, University of Pennsylvania

Talk Session 2: Social Biomimicry
3:10 p.m. | Towards living robots: Using biology to make better machines (full lecture)
Barry A. Trimmer, Ph.D.
Henry Bromfield Pearson Professor of Natural Sciences; Director, Neuromechanics and Biomimetic Devices Laboratory, Tufts University

4:05 p.m. | How the physics of slithering can teach multilegged robots to walk (short talk)
Shai Revzen, Ph.D.
Assistant Professor, Electrical Engineering and Computer Science, University of Michigan

4:25 p.m. | What wasps can teach us about the evolution of animal minds (full lecture)
Elizabeth Tibbetts, Ph.D.
Professor, Associate Chair for Research Facilities, Ecology and Evolutionary Biology, University of Michigan

5:20 p.m. | Day 1 Closing Remarks


Schedule: Wednesday, September 30

9:00 a.m. | Welcome

Talk Session 3: Biological Control of Disease Vectors
9:05 a.m. | Breaking up Anopheles-Plasmodium interactions for malaria control (full lecture)
Flaminia Catteruccia, Ph.D.
Professor, Immunology and Infectious Disease, Harvard University

10:00 a.m. | Cryopreservation of multicellular animals: Lessons from extreme insects (short talk)
Nicholas Teets, Ph.D.
Assistant Professor, Department of Entomology, University of Kentucky

10:20 a.m. | Break

10:35 a.m. | Transgenic fungi for mosquito control (full lecture)
Raymond St. Leger, Ph.D.
Professor, Entomology, University of Maryland

11:30 a.m. | Recombination versus mutation as the fuel for rapid evolution across the fungal tree of life (short talk)
Timothy James, Ph.D.
Associate Professor, Lewis E. Wehmeyer and Elaine Prince Wehmeyer Professor in the Taxonomy of Fungi, Ecology and Evolutionary Biology, University of Michigan

11:50 a.m. | Building a moving wall: Maintaining cell wall polarity during tip growth (short talk)
Cora MacAlister, Ph.D.
Assistant Professor, Department of Molecular, Cellular, and Developmental Biology, University of Michigan

12:10 p.m. | Closing remarks

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Conference / Symposium Wed, 09 Sep 2020 16:23:00 -0400 2020-09-30T09:00:00-04:00 2020-09-30T12:15:00-04:00 Off Campus Location Life Sciences Institute (LSI) Conference / Symposium Saltiel Life Sciences Symposium: Biodiversity in Biological Research
DCMB / CCMB Weekly Virtual Seminar - Xiaotian Zhang, Ph.D. (September 30, 2020 4:00pm) https://events.umich.edu/event/77549 77549-19883820@events.umich.edu Event Begins: Wednesday, September 30, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: The human genome is organized into small compartments to allow for the proper gene expression regulation in the physiological process. With the advance of next-generation sequencing and imaging technologies, we can now investigate how the genome is folded into 3D space and how the 3D genomic organization regulates gene expression in development and disease. Currently, most of the studies are focusing on CTCF and cohesion complex which partner together to facilitate the formation of topological associated domains (TAD). The presenter will mainly discuss his recently published work on the DNA methylation -3D genomics cross-talk. Unpublished work on the 3D genomics in AML will be discussed as well.

Short bio: Xiaotian Zhang obtained his Ph.D. at Baylor College of Medicine with Dr. Margaret Goodell on the role of DNA methylation synergy in leukemia development. He was previously the Van Andel special postdoc fellow in Gerd Pfeifer lab working on the 3D genomics in normal hematopoietic stem cell and leukemia. He is now a Research track faculty (Research Investigator) in Pathology Department under Tomek Cierpicki working on the HOXA regulation in leukemia development. Xiaotian's research focuses on the epigenetic regulation of key pathogenic genes in leukemia, particularly on high order chromatin structure in disease. He published on Nature Genetics, Molecular Cell and Blood as the first author and corresponding authors.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Lecture / Discussion Tue, 22 Sep 2020 09:31:31 -0400 2020-09-30T16:00:00-04:00 2020-09-30T17:00:00-04:00 Off Campus Location DCMB Seminar Series Lecture / Discussion Xiaotian Zhang, Ph.D., Research Investigator in the Department of Pathology at the University of Michigan
RNA Seminar featuring: Chase Weidmann, Washington University School of Medicine in St. Louis (October 5, 2020 4:00pm) https://events.umich.edu/event/76147 76147-19665691@events.umich.edu Event Begins: Monday, October 5, 2020 4:00pm
Location: Off Campus Location
Organized By: Center for RNA Biomedicine

ZOOM REGISTRATION REQUIRED: https://umich.zoom.us/webinar/register/WN_y9HTFl5RSOSJTJ5qtlhVcw

Keywords: mRNA regulation, noncoding RNA, RNA Structure, RNP granules

Abstract:
Chase Weidmann, Ph.D. has contributed broadly to the field of RNA Biology during his career, studying mechanisms of codon bias during translation, post-transcriptional regulation of mRNAs by RNA-binding proteins, the folding of long non-coding RNAs, and how RNA-protein interaction networks contribute to the function and assembly of functional RNP particles. Chase developed a chemical probing strategy and next-gen sequencing technology, called RNP-MaP, that maps the location of and cooperation between multi-protein networks on RNAs in live cells. Going forward, Chase is interested in understanding how alterations in RNA-binding protein profiles, a cell’s “RBPome”, confer deleterious activities onto noncoding RNAs in human disease, especially in cancer. To further empower this work and his future research program, Chase is now generating and integrating protein mass spectrometry data into his RBPome projects.

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Lecture / Discussion Wed, 16 Sep 2020 09:01:52 -0400 2020-10-05T16:00:00-04:00 2020-10-05T17:00:00-04:00 Off Campus Location Center for RNA Biomedicine Lecture / Discussion photo
Complex Systems Seminar | A Simple Model for a Complex System: Legged Locomotion as an Oscillator (October 6, 2020 11:30am) https://events.umich.edu/event/77060 77060-19790568@events.umich.edu Event Begins: Tuesday, October 6, 2020 11:30am
Location: Off Campus Location
Organized By: The Center for the Study of Complex Systems

VIRTUAL SEMINAR LINK: myumi.ch/v2ZYv

The neuromechanical control and dynamics of legged locomotion are of great interest for biomedical and robotics applications, as well as being an aspect of functional morphology with large ecological implications. Most biomechanists take a "reductionist" approach that attempts to model animal motion by modeling the parts of the organism and their interconnections, thereby combining them into what are sometimes staggeringly complex models. We will discuss a complementary "essentialist" approach, where multi-legged locomotion is viewed as a limit cycle oscillation comprising the body, nervous system, and environment. Through a combination of theoretical mathematical advances, new numerical algorithms, and experimental work on both animals and robots, this approach has revealed new ways to non-invasively inspect neuromechanical feedback pathways, control and coordinate legs, and model complex multi-contact collisions. Talk will be non-technical and suitable for a broad sciences audience.

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Livestream / Virtual Wed, 30 Sep 2020 11:43:45 -0400 2020-10-06T11:30:00-04:00 2020-10-06T13:00:00-04:00 Off Campus Location The Center for the Study of Complex Systems Livestream / Virtual Headshot Shai Revzen
MDP Project Preview Night (October 6, 2020 5:00pm) https://events.umich.edu/event/78172 78172-19989036@events.umich.edu Event Begins: Tuesday, October 6, 2020 5:00pm
Location: Off Campus Location
Organized By: Multidisciplinary Design Program

Join us for a virtual project recruitment event, using the Career Fair Plus software.

- Talk to corporate sponsors and faculty PI’s about their projects
- Register ahead of time for interview slots similar to the engineering career fair
- Upload your resume and be prepared to ask questions
- Read the project descriptions on the MDP website before attending

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Reception / Open House Mon, 05 Oct 2020 12:18:57 -0400 2020-10-06T17:00:00-04:00 2020-10-06T21:00:00-04:00 Off Campus Location Multidisciplinary Design Program Reception / Open House A Sponsor Mentor from the Human Rights First - Multidisciplinary Design Program project speaks with a prospective applicant at the Project Preview Night event in 2019.
MDP Project Fair (October 7, 2020 12:00pm) https://events.umich.edu/event/78176 78176-19989039@events.umich.edu Event Begins: Wednesday, October 7, 2020 12:00pm
Location: Off Campus Location
Organized By: Multidisciplinary Design Program

Join us for a virtual project recruitment event, using the Career Fair Plus software.

- Talk to corporate sponsors and faculty PI’s about their projects
- Register ahead of time for interview slots similar to the engineering career fair
- Upload your resume and be prepared to ask questions
- Read the project descriptions on the MDP website before attending

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Reception / Open House Mon, 05 Oct 2020 12:18:54 -0400 2020-10-07T12:00:00-04:00 2020-10-07T16:00:00-04:00 Off Campus Location Multidisciplinary Design Program Reception / Open House A Sponsor Mentor and a Faculty Mentor from the Northrop Grumman Solar Truss - Multidisciplinary Design Program project speak with a prospective applicant at the Project Preview Night event in 2019.
EER Seminar Series (Engineering Education Research) (October 7, 2020 3:30pm) https://events.umich.edu/event/77660 77660-19899719@events.umich.edu Event Begins: Wednesday, October 7, 2020 3:30pm
Location: Off Campus Location
Organized By: Engineering Education Research

Advancing diversity, inclusion, and equity has been a persistent challenge in engineering. Over the last 40 years, hundreds of papers and more than 25 national reports have been published focusing on broadening participation in STEM. Simultaneously, people throughout the U.S. have been working endlessly to solve this problem. Yet, we have seen only incremental progress, suggesting that there is a need to take a step back and re-examine what has been done, in terms of both research and practice. To support this effort, Dr. Lee’s research focuses on critically evaluating the research-to-practice cycle as it relates to broadening participation. In this seminar, he will discuss an ongoing project focused on the participation of Black Americans in engineering and computer science. The goals of this project are to advance our understanding of the disconnect between research and practice, to identify barriers to progress, and to set a national agenda for broadening the participation of Black Americans in engineering and computer science.

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Lecture / Discussion Thu, 24 Sep 2020 09:41:43 -0400 2020-10-07T15:30:00-04:00 2020-10-07T16:30:00-04:00 Off Campus Location Engineering Education Research Lecture / Discussion Dr. Walter Lee
DCMB / CCMB Weekly Seminar (October 7, 2020 4:00pm) https://events.umich.edu/event/78232 78232-19996937@events.umich.edu Event Begins: Wednesday, October 7, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: The chromosomes of the human genome are organized in three-dimensions by compartmentalizing the cell nucleus and different genomic loci also interact with each other. However, the principles underlying such nuclear genome organization and its functional impact remain poorly understood. In this talk, I will introduce some of our recent work in developing machine learning methods by utilizing whole-genome mapping data to study the higher-order genome organization. Our methods reveal the spatial localization of chromosome regions and exploit chromatin interactome patterns within the cell nucleus in different cellular conditions, across mammalian species, and also in single-cell resolution. We hope that these algorithms will provide new insights into the principles of nuclear spatial organization.

Bio: Jian Ma is an Associate Professor in the Computational Biology Department within the School of Computer Science at Carnegie Mellon University. He was previously on the faculty of the University of Illinois at Urbana-Champaign. His lab develops algorithms to study the structure and function of the human genome with a focus on nuclear organization, gene regulation, comparative genomics, and single cell biology. He received several awards, including an NSF CAREER award and a Guggenheim Fellowship. He is the Contact PI of a UM1 Center project in the NIH 4D Nucleome Program (Phase 2; 2020-2025). https://www.cs.cmu.edu/~jianma/

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Tue, 06 Oct 2020 12:47:39 -0400 2020-10-07T16:00:00-04:00 2020-10-07T17:00:00-04:00 Off Campus Location DCMB Seminar Series Livestream / Virtual
CFE TechLab Programs Info Session (October 8, 2020 4:30pm) https://events.umich.edu/event/77446 77446-19854031@events.umich.edu Event Begins: Thursday, October 8, 2020 4:30pm
Location: Off Campus Location
Organized By: Center for Entrepreneurship

This is your opportunity to ask TechLab staff and instructors anything and everything! During this info session, we’ll go deeper into program specifics and have you leave with a better understanding of how TechLab Climate Change and TechLab at Mcity can help you with your entrepreneurial career goals.

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Presentation Fri, 18 Sep 2020 14:31:58 -0400 2020-10-08T16:30:00-04:00 2020-10-08T18:00:00-04:00 Off Campus Location Center for Entrepreneurship Presentation Students visiting IA Ventures in D.C.
Workshop on Resilient Cities through Computation (October 9, 2020 9:30am) https://events.umich.edu/event/72863 72863-19735027@events.umich.edu Event Begins: Friday, October 9, 2020 9:30am
Location: Off Campus Location
Organized By: Michigan Institute for Computational Discovery and Engineering

The “Resilient Cities through Computation” workshop will bring together researchers from around the world who are working on various aspects of disaster science and engineering to: 1) exchange information, and 2) discuss means by which to leverage their shared computational interest for achieving community resilience.

The workshop is open to the general public. Please register if you are planning to attend.

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Workshop / Seminar Thu, 03 Sep 2020 13:56:28 -0400 2020-10-09T09:30:00-04:00 2020-10-09T18:00:00-04:00 Off Campus Location Michigan Institute for Computational Discovery and Engineering Workshop / Seminar Resilient Cities through Computation
2020 Virtual EER Prospective Student Open House (October 9, 2020 10:00am) https://events.umich.edu/event/77361 77361-19844064@events.umich.edu Event Begins: Friday, October 9, 2020 10:00am
Location: Off Campus Location
Organized By: Engineering Education Research

Students from all institutions are invited to attend. Participants will hear all about the program, meet the faculty and graduate students, learn about career opportunities as a UM graduate in this field and take a virtual tour of the beautiful University of Michigan campus.

Please note that applicants to the EER graduate program must have a Bachelor's and Master's degree in a traditional engineering discipline.

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Lecture / Discussion Tue, 29 Sep 2020 14:53:47 -0400 2020-10-09T10:00:00-04:00 2020-10-09T16:30:00-04:00 Off Campus Location Engineering Education Research Lecture / Discussion EER Logo
The Evolution of Basketball with Data Science (October 12, 2020 4:00pm) https://events.umich.edu/event/78271 78271-20002854@events.umich.edu Event Begins: Monday, October 12, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

For the last couple of decades, most industries have grown to take advantage of the information gained from data collection. As that happened, professional sports teams started to catch on. Baseball took the lead thanks to the amount of data collected over the years, which dates to the 1800s, but a lot of other professional sports followed and put more attention to their data collection. With technological advancements, particularly high-speed cameras, storage capacities and image recognition, more dynamic sports started to collect richer and richer data. The insights derived from this data started shifting the way the game is played and the way players are evaluated. This talk will take you through the evolution of data science in basketball and give examples of how data is shifting the way teams make decisions on and off the court.

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Presentation Wed, 07 Oct 2020 09:55:02 -0400 2020-10-12T16:00:00-04:00 2020-10-12T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/94496488704
DCMB / CCMB Weekly Seminar (October 14, 2020 4:00pm) https://events.umich.edu/event/78234 78234-19996940@events.umich.edu Event Begins: Wednesday, October 14, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: Gaussian processes provide flexible non-parametric models of data and we are using them to model temporal and spatial patterns in gene expression. Single-cell omics measurements are destructive and one cannot follow the high-dimensional dynamics of genes across time in one cell. Similarly, the spatial context of cells is often lost or only known with reduced resolution. Computational methods are widely used to infer pseudo-temporal orderings of cells or to infer spatial locations. We show how Gaussian processes (GPs) can be used to model temporal and spatial relationships between genes and cells in these datasets. As examples I will show how we use Bayesian GPLVMs with informative priors to infer pseudo-temporal orderings for single-cell time course data [1] and branching GPs to identify gene-specific bifurcation points across pseudotime [2]. Gene expression data are often summarized as counts and there may be many zero values in the data due to limited sequencing depth. We therefore recently extended these methods to use negative binomial or zero-inflated negative binomial likelihoods and we show that this can lead to much improved performance over standard Gaussian noise models when identifying spatially varying genes from spatial transcriptomics data [3].

[1] Ahmed, S., Rattray, M., & Boukouvalas, A. (2019). GrandPrix: scaling up the Bayesian GPLVM for single-cell data. Bioinformatics, 35(1), 47-54.

[2] Boukouvalas, A., Hensman, J., & Rattray, M. (2018). BGP: identifying gene-specific branching dynamics from single-cell data with a branching Gaussian process. Genome biology, 19(1), 65.

[3] BinTayyash, N., Georgaka, S., John, S. T., Ahmed, S., Boukouvalas, A., Hensman, J., & Rattray, M. (2020). Non-parametric modelling of temporal and spatial counts data from RNA-seq experiments. Bioarxiv https://doi.org/10.1101/2020.07.29.227207

Short bio: Magnus Rattray is Professor of Computational and Systems Biology at the University of Manchester and Director of the Institute for Data Science & AI. He works on the development of methods for machine learning and Bayesian inference with applications to large-scale biological and medical datasets. He has a long-standing interest in longitudinal data analysis and a more recent interest in modelling single-cell, spatial omics and live cell imaging microscopy data. He is a Fellow of the ELLIS Health Programme and the Alan Turing Institute and his research is funded by a Wellcome Trust Investigator Award.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Tue, 06 Oct 2020 13:35:21 -0400 2020-10-14T16:00:00-04:00 2020-10-14T17:00:00-04:00 Off Campus Location DCMB Seminar Series Livestream / Virtual Magnus Rattray, PhD (Professor of Computational and Systems Biology, University of Manchester)
Towards an Artificial Intuition: Conversational Markers of (Anti)Social Dynamics (October 19, 2020 4:00pm) https://events.umich.edu/event/78274 78274-20002858@events.umich.edu Event Begins: Monday, October 19, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Can conversational dynamics—the nature of the back and forth between people—predict outcomes of social interactions? This talk will describe efforts on developing an artificial intuition about ongoing conversations, by modeling the subtle pragmatic and rhetorical choices of the participants.
The resulting framework distills emerging conversational patterns that can point to the nature of the social relation between interlocutors, as well as to the future trajectory of this relation. For example, I will discuss how interactional dynamics can be used to foretell whether an online conversation will stay on track or eventually derail into personal attacks, providing community moderators several hours of prior notice before an anti-social event is likely to occur.
The data and code are available through the Cornell Conversational Analysis Toolkit (ConvoKit): http://convokit.cornell.edu
This talk includes joint work with Jonathan P. Chang, Lucas Dixon, Liye Fu, Yiqing Hua, Dan Jurafsky, Lillian Lee, Jure Leskovec, Vlad Niculae, Chris Potts, Arthur Spirling, Dario Taraborelli, Nithum Thain, and Justine Zhang.

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Presentation Wed, 07 Oct 2020 10:03:41 -0400 2020-10-19T16:00:00-04:00 2020-10-19T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/95443347994
Data Science Coast to Coast Presents: Talitha Washington (October 21, 2020 3:00pm) https://events.umich.edu/event/78280 78280-20002864@events.umich.edu Event Begins: Wednesday, October 21, 2020 3:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

The DS C2C seminar series, hosted jointly by six academic data science institutes, provides a unique opportunity to foster a broad-reaching data science community.

Speakers include faculty members and postdoctoral fellows at the six institutes whose research spans the theory and methodology of data science, and their application in arts and humanities, engineering, biomedical, natural, physical and social sciences.

In addition, the series features some of the most important figures in data science, who will provide insight on the transformative use of data science in traditional research disciplines, future breakthroughs in data science research, data science entrepreneurship, and advocacy and national policies for a data-enabled and just society.

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Presentation Wed, 07 Oct 2020 11:23:52 -0400 2020-10-21T15:00:00-04:00 2020-10-21T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/93769972428
DCMB / CCMB Weekly Seminar (October 21, 2020 4:00pm) https://events.umich.edu/event/78531 78531-20058232@events.umich.edu Event Begins: Wednesday, October 21, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract
Although machine learning applications are now pervasive to every industry, adoption into healthcare remains a challenging and arduous process. Barriers to implementation include clinician trust, algorithm credibility and actionability, promoting clinician literacy in machine learning methods, and mitigating unintended consequences.

In the high-risk operating room setting, anesthesiologists are recognized leaders in patient safety, and manage uncertainty through careful considerations of risk and benefit based upon a thorough understanding of disease processes and treatment mechanisms. In this talk, the speaker highlights how obstacles to implementation of machine-learning based healthcare applications can be mitigated, and how an understanding of such applications can be promoted among clinically-minded anesthesiologists who may not necessarily be expert data scientists.

Short Bio:
Dr. Mathis has research interests in improving perioperative care for patients with advanced cardiovascular disease, particularly for patients with heart failure. As part of the Multicenter Perioperative Outcomes Group (MPOG), an international consortium of perioperative databases for which U-M serves as the coordinating center, he serves as Associate Research Director and plays a lead role in integration of MPOG data with data from national cardiac and thoracic surgery registries. He also has interests in leveraging novel data science methods to understand patterns within highly granular intraoperative physiologic data, studying hemodynamic responses to surgical and anesthetic stimuli as a means for early detection of cardiovascular diseases such as heart failure.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Wed, 14 Oct 2020 11:43:15 -0400 2020-10-21T16:00:00-04:00 2020-10-21T17:00:00-04:00 Off Campus Location DCMB Seminar Series Livestream / Virtual Image which promotes the content of Dr. Mathis' talk (https://jamanetwork.com/collections/5584/critical-care-medicine)
Dr. Nahum Melamed on Asteroid Interception (October 22, 2020 7:00pm) https://events.umich.edu/event/78685 78685-20105421@events.umich.edu Event Begins: Thursday, October 22, 2020 7:00pm
Location: Off Campus Location
Organized By: American Institute of Aeronautics and Astronautics

Join the American Institute of Aeronautics and Astronautics this Thursday, October 22nd, for a lecture by Dr. Nahum Melamed on Applying Guidance, Navigation, and Controls Solutions to the Problem of Asteroid Interception for Planetary Defense.

Dr. Melamed is a project leader in the Embedded Control Systems Department in the Guidance and Control Subdivision at The Aerospace Corporation who validates and certifies the flight software and mission parameters for the Delta IV launch vehicles, and conducts planetary defense technical and policy studies. He earned a PhD in Aerospace Engineering from Georgia Tech.

If you're interested please add your name to the spreadsheet linked below.

When: Thursday, 22 October 2020 at 7pm ET (4pm PT)
Where: Zoom (see link below, passcode 424378)

We hope to see you there!!

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Lecture / Discussion Tue, 20 Oct 2020 10:08:36 -0400 2020-10-22T19:00:00-04:00 2020-10-22T20:15:00-04:00 Off Campus Location American Institute of Aeronautics and Astronautics Lecture / Discussion lecture flyer
Special Joint Seminar - Hosted by DCMB, Department of Mathematics, and the Smale Institute (October 26, 2020 12:00pm) https://events.umich.edu/event/78673 78673-20099541@events.umich.edu Event Begins: Monday, October 26, 2020 12:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Dr. Leland Hartwell won the Nobel Prize in Physiology or Medicine in 2001 for the discoveries of key regulators of the cell cycle.

“We want our students to have an authentic experience of science. Nearly all science activities designed for schools require the students to demonstrate an established scientific principle by getting the right answer. Getting the “right” answer is not authentic science. Science is the exploration of the unknown – the answer cannot be known.“
- Leland Hartwell

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Livestream / Virtual Mon, 19 Oct 2020 13:04:27 -0400 2020-10-26T12:00:00-04:00 2020-10-26T13:00:00-04:00 Off Campus Location DCMB Seminar Series Livestream / Virtual Dr. Leland Hartwell, Nobel Laureate
Fair Ranking with Biased Data (October 26, 2020 4:00pm) https://events.umich.edu/event/78276 78276-20002859@events.umich.edu Event Begins: Monday, October 26, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Search engines and recommender systems have become the dominant matchmaker for a wide range of human endeavors — from online retail to finding romantic partners. Consequently, they carry immense power in shaping markets and allocating opportunity to the participants. In this talk, I will discuss how the machine learning algorithms underlying these systems can produce unfair ranking policies for both exogenous and endogenous reasons. Exogenous reasons often manifest themselves as biases in the training data, which then get reflected in the learned ranking policy and lead to rich-get-richer dynamics. But even when trained with unbiased data, reasons endogenous to the algorithms can lead to unfair or undesirable allocation of opportunity. To overcome these challenges, I will present new machine learning algorithms that directly address both endogenous and exogenous unfairness.

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Presentation Wed, 07 Oct 2020 10:09:21 -0400 2020-10-26T16:00:00-04:00 2020-10-26T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/93790126046
Tauber Leadership Speaker Series | Ram Kuppuswamy (October 26, 2020 5:00pm) https://events.umich.edu/event/78845 78845-20131231@events.umich.edu Event Begins: Monday, October 26, 2020 5:00pm
Location: Off Campus Location
Organized By: Tauber Institute for Global Operations

Ram shares insights from his experiences in leading teams at organizations like Walmart, Nokia, and Airtel as they faced seismic strategic changes, volatile business environments, and unprecedented operational pressures. “There are common leadership themes that emerge for successful teams in the midst of these challenges which have helped them be resilient and grow stronger. Over the years, I have had the incredible opportunity to learn through my personal failures and success stories.”

Join us as we explore these common themes and discuss the value of leading disruptive change!

Who should attend? Free webinar is open to the public.

Ram Kuppuswamy is a global leader with 20+ years of experience in senior-level executive roles and accomplishments across Fortune 100 Technology and Retail companies. He started his career as a consultant and served as Principal in the Operations and Retail Practice at Kearney, New York. Since then, Ram has been leading supply chain and operations transformations for technology and telecommunications leaders across the world — as Managing Director of Operations at Nokia HQ in Salo (Finland), where he launched the first Windows Phone (Lumia) in record time, Senior Director and Head of Sourcing at Microsoft in Beijing (China), and Global CPO at Airtel, where he managed a $12B supply chain for the second-largest telecom network in the world with operations in 17 countries across South-Asia and Africa. Currently, he is leading sales for strategic accounts in Asia-Pacific and Japan as Field Commerce Executive at VMWare (Dell Technologies).

Given this rich blend of experiences within a vast spectrum of geographies and industries, Ram is truly a Leader in Global Operations. He has led large and highly diverse teams of varied competencies, cultures, and educational backgrounds from all over the world. His operational expertise includes planning, manufacturing ecosystems, sourcing, logistics, transportation, customer fulfillment, and optimizing supply chains.

LINK TO WEBINAR AND QUESTIONS FOR SPEAKER: http://myumi.ch/yKGoW

CAN'T ATTEND? In the event that this Tauber Leadership Speaker Series is recorded, it would be added to the Leadership Speaker Series post-session

UPCOMING MEETINGS: Check the Tauber Leadership Speaker Series for upcoming events: http://myumi.ch/VPx4z

HOSTED BY: Tauber Institute for Global Operations. For questions about this event, please contact Shreya Agawal (MSE-IOE 2022) shreyaa@umich.edu or visit tauber.umich.edu.

The Tauber Leadership Speaker Series is a student-organized initiative to bring in top leaders from industry to the University of Michigan. These high-level executives are invited to share insights on their own careers, the qualities needed in today's global economy for strong leadership, and tangible steps to achieve excellence in one's own career path.

For more information:

Email TLSS organizer Shreya Agrawal shreyaa@umich.edu
Visit the visit tauber.umich.edu or call 734-647-1333
Follow Tauber on Facebook, Twitter, and Flickr

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Presentation Fri, 23 Oct 2020 16:10:40 -0400 2020-10-26T17:00:00-04:00 2020-10-26T19:00:00-04:00 Off Campus Location Tauber Institute for Global Operations Presentation Ram Kuppuswamy, Field Commerce Executive, VMware, Inc.
(Re)Engaging the Role of Diversity, Equity, and Inclusion in Engineering Graduate Education (October 28, 2020 3:30pm) https://events.umich.edu/event/78529 78529-20058230@events.umich.edu Event Begins: Wednesday, October 28, 2020 3:30pm
Location: Off Campus Location
Organized By: Engineering Education Research

Increasingly, engineering graduate programs have emphasized the need to train individuals who are capable of working in diverse teams so they are better able to address complex problems in a global society. Yet, discourse related to diversity, equity, and inclusion (DEI) in engineering is often focused on recruiting and retaining students who are racially minoritized and/or women in the field. Less attention is given to what students learn about DEI during their graduate training. Drawing from findings across multiple research projects, this talk will explore what graduate students learn about the role of DEI in engineering and the implications these lessons have for racially minoritized students’ retention, success, and career pathways.

BIOGRAPHICAL SKETCH: Dr. Rosemary (Rosie) Perez is an Associate Professor in the Center for the Study of Higher and Postsecondary Education at the University of Michigan. She earned her B.S. in biological sciences and psychology at Carnegie Mellon University, her M.Ed. in higher education and student affairs at The University of Vermont, and her Ph.D. in higher education from University of Michigan. Dr. Perez’s scholarship has three interrelated lines of inquiry and explores: (a) how people make meaning of collegiate experiences; (b) diverse learning environments and intercultural development; and (c) the professional socialization of graduate students and new practitioners. Across projects, Dr. Perez explores the tensions between structure and agency, and how power, privilege, and oppression affect individuals and groups within higher education. Her research has been funded by the National Science Foundation, Spencer Foundation, Susan Thompson Buffett Foundation, and ACPA-College Student Educators International.

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Lecture / Discussion Wed, 21 Oct 2020 12:58:11 -0400 2020-10-28T15:30:00-04:00 2020-10-28T16:30:00-04:00 Off Campus Location Engineering Education Research Lecture / Discussion Dr. Rosemary Perez
DCMB / CCMB Seminar (October 28, 2020 4:00pm) https://events.umich.edu/event/78528 78528-20058229@events.umich.edu Event Begins: Wednesday, October 28, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: Single-cell RNA sequencing (scRNA-seq) allows researchers to examine the transcriptome at the single-cell resolution and has been increasingly employed as technologies continue to advance. Due to technical and biological reasons unique to scRNA-seq data, clustering and batch effect correction are almost indispensable to ensure valid and powerful data analysis. Multiple methods have been proposed for these two important tasks. For clustering, we have found that different methods, including state-of-the-art methods such as Seurat, SC3, CIDR, SIMLR, t-SNE + k-means, yield varying results in terms of both the number of clusters and actual cluster assignments. We have developed ensemble methods, SAFE-clustering and SAME-clustering, that leverages hyper-graph partitioning algorithms and a mixture model-based approach respectively to produce more robust and accurate ensemble solution on top of clustering results from individual methods. For batch effect correction, we have developed methods based on supervised mutual nearest neighbor detection to harness the power of known cell type labels for certain single cells. We benchmarked all methods in various scRNA-seq datasets to demonstrate their utilities.

Short bio: Yun Li, PhD is an Associate professor of Genetics and Biostatistics at the University of North Carolina, Chapel Hill. Dr. Li is a statistical geneticist with extensive experiences with method development and application on genotype imputation (developer of MaCH and MaCH-admix), genetic studies of recently admixed population, design and analysis of sequencing-based studies, analyses of multi-omics data including mRNA expression, DNA methylation and chromatin three dimensional organization. Dr. Li has been playing an active role in genetic studies of complex human traits resulting many GWAS and meta-analysis publications, including >30 in Nature, Science, Cell, and Nature Genetics. Dr. Li has been leading multiple R01 projects on statistical method development for complex trait genetics. Dr. Li has also been the Director for the Data Science Core of IDDRC (Intellectual and Developmental Disabilities Research Center). Dr. Li has received many awards and became the Thomson Reuters Highly Cited Researcher due to her high impact scientific work. Specifically, her work has been cited >60,000 times with h-index of 64 and i10-index of 113.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Wed, 14 Oct 2020 10:41:20 -0400 2020-10-28T16:00:00-04:00 2020-10-28T17:00:00-04:00 Off Campus Location DCMB Seminar Series Livestream / Virtual Yun Li, PhD (Associate Professor of Genetics & Biostatistics; Adjunct Associate Professor, Applied Physical Sciences at School of Medicine, Genetics at University of North Carolina)
Argo AI Virtual Tech Talk, Hosted by TBP (October 28, 2020 9:30pm) https://events.umich.edu/event/78192 78192-19989058@events.umich.edu Event Begins: Wednesday, October 28, 2020 9:30pm
Location: Off Campus Location
Organized By: Tau Beta Pi

Argo AI is a technology platform company working with leading automakers to deliver a fully integrated self-driving system that makes getting around cities safe, easy, and enjoyable for all. With global headquarters in Pittsburgh, Pennsylvania and offices in Detroit, Palo Alto, Cranbury, NJ, Miami, Austin, Washington DC, and Munich, Germany, Argo AI has approximately 1,000 employees on the mission to build self-driving technology you can trust. For more information, visit www.argo.ai.

Register Here: https://umich.qualtrics.com/jfe/form/SV_1NvuTS5CohxQslv
A Zoom link will be provided after registration.

RSVP Link (optional): https://tbp.engin.umich.edu/calendar/event/1912/

Positions Recruiting: Full-time, Intern
Degrees Recruiting: Bachelor’s, Master’s, Ph.D.
Majors Recruiting: Computer Engineering, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering
Citizenship Requirements: None
Collecting Resumes: Yes

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Careers / Jobs Mon, 05 Oct 2020 16:56:14 -0400 2020-10-28T21:30:00-04:00 2020-10-28T22:30:00-04:00 Off Campus Location Tau Beta Pi Careers / Jobs Argo AI Logo
Auditing for Bias in Resume Search Engines (November 2, 2020 4:00pm) https://events.umich.edu/event/78328 78328-20010766@events.umich.edu Event Begins: Monday, November 2, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

There is growing awareness and concern about the role of automation in hiring, and the potential for these tools to reinforce historic inequalities in the labor market. I will present the results of an algorithm audit of the resume search engines offered by several of the largest online hiring platforms, to understand the relationship between a candidate’s gender and their rank in search results. We audited these platform with respect to individual and group fairness, as well as indirect and direct discrimination. I conclude with a brief discussion of the social and policy implications of our study.

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Presentation Thu, 08 Oct 2020 09:17:55 -0400 2020-11-02T16:00:00-05:00 2020-11-02T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/95382333953
DCMB / CCMB Weekly Seminar (November 4, 2020 4:00pm) https://events.umich.edu/event/78770 78770-20121164@events.umich.edu Event Begins: Wednesday, November 4, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: Metabolomics is a powerful approach to characterize small molecules produced in cells, tissues, and other biological systems. Metabolites are direct products of enzymatic reactions and provide a snapshot of cellular activities. Metabolomics-based research has already had a profound impact on biomarker discovery, nutritional analysis, and other biomedical and biological discoveries. The most pressing problem in metabolomics however is identifying compounds in the sample-under-study from the metabolomics measurements. Current analysis tools are capable of annotating only a small portion of sample measurements.

In this talk, we present machine learning solutions to three challenges related to the interpretation of metabolomics data. To mimic the function of a mass spectrometer in generating a mass spectrum, we use graph neural networks to translate a molecular structure into its respective spectral signature. To interpret the biological measurements in the context of the biological sample, we use Bayesan learning to deduce the likelihood of pathway activities. To suggest putative candidate molecules that are biologically relevant matches to the measured spectra, we explore several methods for predicting possible enzymatic products. We discuss several results, highlighting the value of using machine learning for advancing metabolomics analysis.

Short bio: Soha Hassoun is Professor and Past Chair of the Department of Computer Science at Tufts University. Soha received her undergraduate degree in Electrical Engineering from South Dakota State University, the Master's degree from MIT, and the Ph.D. degree from the Department of Computer Science and Engineering, University of Washington in Seattle. Soha’s lab uses Machine Learning to develop analysis and discovery tools for synthetic and systems biology, with a focus on enzyme promiscuity prediction and metabolomics analysis. Soha was a recipient of the NSF CAREER Award, and several technical and service awards from various professional societies. She provided technical leadership for several conferences including ICCAD and DAC. She co-founded the International Workshop on Bio-Design Automation in 2009. Soha serves on the board of the Computing Research Association's Committee on Widening Participation in Computing Research.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Thu, 22 Oct 2020 11:33:23 -0400 2020-11-04T16:00:00-05:00 2020-11-04T17:00:00-05:00 Off Campus Location DCMB Seminar Series Livestream / Virtual
Tauber Leadership Speaker Series | Rebecca Liao (November 6, 2020 1:00pm) https://events.umich.edu/event/78987 78987-20168493@events.umich.edu Event Begins: Friday, November 6, 2020 1:00pm
Location: Off Campus Location
Organized By: Tauber Institute for Global Operations

The Tauber Leadership Speaker Series presents:

"Leadership Lessons in Times of Radical Change"
A keynote presentation and panel discussion

Who should attend? The webinar is free and open to the public.

The Tauber Institute welcomes keynote speaker Rebecca Liao to highlight her experiences and perspectives on the theme of The New Normal, as well as how today’s trends will impact operations in the coming decade.

She was a member of Secretary Clinton’s foreign policy team for her 2016 presidential campaign, focusing on Asia trade and economic policy. Her writing has appeared in the New York Times, Financial Times, Foreign Affairs, The Atlantic, The National Interest, Bloomberg View, n+1, Georgetown Journal of International Affairs, Democracy Journal, Times Literary Supplement, Chinafile, The Diplomat, Huffington Post, Dissent Magazine, The New Inquiry, the LA Review of Books, The China Story Journal, Tea Leaf Nation, San Francisco Chronicle and San Francisco Classical Voice. She regularly comments on China for Deutsche Welle and Channel NewsAsia and has also appeared on HuffPost Live and SiriusXM Radio. She is a contributing editor at SupChina. Read more > http://myumi.ch/1p9xO

Panel: Role of Digitization on the Road to Supply Chain Recovery Post-COVID

Ayush Marthur, Senior Business Efficiency Consultant, Blue Cross Blue Shield
Josh Mellinger, Fresh Food Supply Chain leader, Deloitte
Anil Sebastian, Analytics & Digital Transformation, Microsoft
Matt Schnugg, Vice President of Engineering, GE Digital

Moderator: Professor M.S. Krishnan, Associate Dean, Executive Education and Executive-MBA, Ross School of Business

RSVP FOR WEBINAR LINK AND QUESTIONS FOR SPEAKER: http://myumi.ch/QAx1E

CAN'T ATTEND? In the event that this Tauber Leadership Speaker Series is recorded, it would be added to the Leadership Speaker Series post-session.

UPCOMING MEETINGS: Check the Tauber Leadership Speaker Series for upcoming events: http://myumi.ch/VPx4z

HOSTED BY: Tauber Institute for Global Operations. For questions about this event, please contact Sasanka Mouli Neti (MSE-IOE 2022) at or visit tauber.umich.edu.

The Tauber Leadership Speaker Series is a student-organized initiative to bring in top leaders from industry to the University of Michigan. These high-level executives are invited to share insights on their own careers, the qualities needed in today's global economy for strong leadership, and tangible steps to achieve excellence in one's own career path.

For more information:

Email TLSS organizer sneti@umich.edu - MSE-IOE 2022
Visit the visit tauber.umich.edu or call 734-647-1333
Follow Tauber on Facebook, Twitter, and Flickr

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Presentation Wed, 28 Oct 2020 09:29:38 -0400 2020-11-06T13:00:00-05:00 2020-11-06T15:00:00-05:00 Off Campus Location Tauber Institute for Global Operations Presentation Rebecca Liao
ECE Research Info Session, Hosted by TBP (November 6, 2020 5:00pm) https://events.umich.edu/event/78782 78782-20123145@events.umich.edu Event Begins: Friday, November 6, 2020 5:00pm
Location: Off Campus Location
Organized By: Tau Beta Pi

Come learn about research opportunities within Electrical and Computer Engineering! Professors Mingyan Liu, the ECE Department Chair, and P.C. Ku, the Associate Chair for Undergraduate Affairs, will be there to discuss research opportunities within ECE.

https://umich.zoom.us/j/96228255502

Meeting ID: 962 2825 5502

One tap mobile
+16468769923,,96228255502# US (New York)
+13017158592,,96228255502# US (Germantown)

Find your local number: https://umich.zoom.us/u/aeDnHKgyAM

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Careers / Jobs Thu, 22 Oct 2020 15:02:52 -0400 2020-11-06T17:00:00-05:00 2020-11-06T18:00:00-05:00 Off Campus Location Tau Beta Pi Careers / Jobs
U-M Data Science Annual Symposium 2020 (November 10, 2020 9:00am) https://events.umich.edu/event/75640 75640-19552851@events.umich.edu Event Begins: Tuesday, November 10, 2020 9:00am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Fully virtual. November 10th-11th

Keynote Speakers:
CATHERINE D’IGNAZIO
Assistant Professor, Urban Science & Planning
Director, Data + Feminism Lab
Department of Urban Studies & Planning, MIT

LAUREN KLEIN
Associate Professor, English, Quantitative Theory and Methods
Emory University

CALL FOR PRESENTATIONS
The Michigan Institute for Data Science (MIDAS) invites submission of 1) abstracts for presentations and 2) proposals for workshops, for the 2020 U-M Data Science Symposium.

As the focal point of data science at U-M, MIDAS facilitates the work of the broad U-M data science community, advances cross-cutting data science methodologies and applications, promotes the use of data science to benefit society, builds data science training pipelines, and develops partnerships with industry, academia and community. The annual symposium showcases the breadth and depth of U-M data science, shares research ideas that will lead to the next breakthroughs, and builds collaboration.

Presentations at the symposium should cover one or more of the following areas of data science:

Theoretical foundations
Methodology and tools
Real-world application in any domain
The ethics and societal impact of data science
Emerging areas of data science
WE INVITE SUBMISSIONS FOR THE FOLLOWING:
1. Proposals for mini-workshops. New this year, the symposium will include 3-5 mini-workshops on the afternoon of Nov. 10 as parallel sessions. Each workshop will be two hours long and for 50-100 attendees. They can be research discussion sessions, tutorials or hack sessions. Proposals should include the theme, format, organizer and potential presenters, as well as how the proposed mini-workshop brings out the strengths across multiple U-M research units and its benefit to U-M data science research and/or to the larger community. If your theme is selected, the symposium program committee will discuss with you further to help finalize the plan, and MIDAS will provide logistics support.

Some examples of possible themes: Mobilizing data science for crisis response; Data preparation for multi-party computing; Introduction of data science to attendees from non-profit organizations; Data science for wearables/mobile health.

If you would like to discuss your mini-workshop idea with the symposium committee before submission, please email Jing Liu, MIDAS Managing Director (ljing@umich.edu),

2. Abstracts for Research Talks (20 minutes including Q&A). The talks should discuss exciting research ideas, provide vision and context for challenging data science questions, stimulate discussions, and lay out collaboration opportunities. These talks should not simply be technical reports of projects.

3. Abstracts for Posters. The Posters can be used as technical reports of projects. Posters with students as first authors will be automatically entered in the poster competition.

DEADLINES:
Mini-workshop proposal submission: 11:59 pm, July 31, 2020; notification: Aug. 14, 2020
Talks and posters abstract submission: 11:59 pm, Sept. 18, 2020; notification: Oct. 9, 2020

SUBMISSION INSTRUCTIONS:
At least one author/presenter should have a U-M affiliation.
Please do not include figures, tables or bibliography in the abstract.
To submit proposals for mini-workshops:
Please include a title, list of organizers/potential presenters and their affiliations.
The main body of the submission should be no more than 300 words.
Please include the theme, format, how it features the strengths from multiple U-M research units, and its impact.
To submit abstracts for research talks and posters:
Please include a title, list of authors/presenters and their affiliations.
The main body of the submission should be no more than 300 words.
For research talks, please include a brief summary of the research idea and its context, potential methods and impact, and how it can benefit from collaboration.
For posters, please include a brief summary of the research, methods, main results and impact.
For questions, please contact midas-research@umich.edu.

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Conference / Symposium Tue, 13 Oct 2020 10:29:30 -0400 2020-11-10T09:00:00-05:00 2020-11-10T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Conference / Symposium U-M Data Science Annual Symposium 2020
Students’ mobility patterns on campus and the implications for the recovery of campus activities post-pandemic (November 10, 2020 10:30am) https://events.umich.edu/event/79204 79204-20231445@events.umich.edu Event Begins: Tuesday, November 10, 2020 10:30am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

This research project uses location data gathered from WiFi access points on campus to model the mobility patterns of students in order to inform the planning of educational activities that can minimize the transmission risk.
The first aim is to understand the general mobility patterns of students on campus to identify physical spaces associating with a high-risk of transmission. For example, we can extract insights from WiFi data about which locations are the busiest during which time of the day, how much time was typically spent at each location, and how do these mobility patterns change over time. The second aim is to understand how students share the same physical spaces on campus (e.g. attending a lecture, meeting in the same room, sharing the same dorm). Students are presumably in a close proximity when they are connected to the same WiFi access point. We model a student-to-student network from their co-location activities and use its network centrality measures as proxies of transmission risk (i.e. students in the center of a network would have a higher chance of getting exposed to COVID-19 than those in the periphery). We then correlate network centrality measures with academic information (e.g. class schedule, course enrollment, study major, year of study, gender, ethnicity) to determine whether certain features of the academic record are related to transmission risk. For example, we can identify which groups of students are more vulnerable to potential infections by associating with a high network centrality. Insights from this research project will inform the University of Michigan’s strategies for the recovery of educational activities post-pandemic with empirical evidence of students’ mobility pattern on campus as well as factors that associate with a high-risk of transmission.

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Presentation Thu, 05 Nov 2020 09:35:37 -0500 2020-11-10T10:30:00-05:00 2020-11-10T10:50:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Quan Nguyen
Computational Neuroscience, Time Complexity, and Spacetime Analytics (November 10, 2020 11:10am) https://events.umich.edu/event/79206 79206-20231447@events.umich.edu Event Begins: Tuesday, November 10, 2020 11:10am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

The proliferation of digital information in all human experiences presents difficult challenges and offers unique opportunities of managing, modeling, analyzing, interpreting, and visualizing heterogeneous data. There is a substantial need to develop, validate, productize, and support novel mathematical techniques, advanced statistical computing algorithms, transdisciplinary tools, and effective artificial intelligence apps.

Spacekime analytics is a new technique for modeling high-dimensional longitudinal data, such as functional magnetic resonance imaging (fMRI). This approach relies on extending the notions of time, events, particles, and wave functions to complex-time (kime), complex-events (kevents), data and inference-functions, respectively. This talk will illustrate how the kime-magnitude (longitudinal time order) and kime-direction (phase) affect the subsequent predictive analytics and the induced scientific inference. The mathematical foundation of spacekime calculus reveals various statistical implications including inferential uncertainty and a Bayesian formulation of spacekime analytics. Complexifying time allows the lifting of all commonly observed processes from the classical 4D Minkowski spacetime to a 5D spacetime manifold, where a number of interesting mathematical problems arise.

Spacekime analytics transforms time-varying data, such as time-series observations, into higher-dimensional manifolds representing complex-valued and kime-indexed surfaces (kime-surfaces). This process uncovers some of the intricate structure in high-dimensional data that may be intractable in the classical space-time representation of the data. In addition, the spacekime representation facilitates the development of innovative data science analytical methods for model-based and model-free scientific inference, derived computed phenotyping, and statistical forecasting. Direct neuroscience science applications of spacekime analytics will be demonstrated using simulated data and clinical observations (e.g., UK Biobank).

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Presentation Thu, 05 Nov 2020 09:57:23 -0500 2020-11-10T11:10:00-05:00 2020-11-10T11:30:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Professor Ivo Dinov
Challenges in dynamic mode decomposition (November 10, 2020 11:30am) https://events.umich.edu/event/79207 79207-20231448@events.umich.edu Event Begins: Tuesday, November 10, 2020 11:30am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Dynamic Mode Decomposition (DMD) is a powerful tool in extracting spatio-temporal patterns from multi-dimensional time series. DMD takes in time series data and computes eigenvalues and eigenvectors of a finite-dimensional linear model that approximates the infinite-dimensional Koopman operator which encodes the dynamics. DMD is used successfully in many fields: fluid mechanics, robotics, neuroscience, and more. Two of the main challenges remaining in DMD research are noise sensitivity and issues related to Krylov space closure when modeling nonlinear systems. In our work, we encountered great difficulty in reconstructing time series from multilegged robot data. These are oscillatory systems with slow transients, which decay only slightly faster than a period.
Here we present an investigation of possible sources of difficulty by studying a class of systems with linear latent dynamics which are observed via multinomial observables. We explore the influences of dataset metrics, the spectrum of the latent dynamics, the normality of the system matrix, and the geometry of the dynamics. Our numerical models include system and measurement noise. Our results show that even for these very mildly nonlinear conditions, DMD methods often fail to recover the spectrum and can have poor predictive ability. We show that for a system with a well-posed system matrix, having a dataset with more initial conditions and shorter trajectories can significantly improve the prediction. With a slightly ill-conditioned system matrix, a moderate trajectory length improves the spectrum recovery. Our work provides a self-contained framework on analyzing noise and nonlinearity, and gives generalizable insights dataset properties for DMD analysis.
Work was funded by ARO MURI W911NF-17-1-0306 and the Kahn Foundation.

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Presentation Thu, 05 Nov 2020 10:02:20 -0500 2020-11-10T11:30:00-05:00 2020-11-10T11:50:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Ziyou Wu
Intro to Python for Community Members and K-12 Teachers and Students (November 10, 2020 2:45pm) https://events.umich.edu/event/79222 79222-20231462@events.umich.edu Event Begins: Tuesday, November 10, 2020 2:45pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

This hands-on workshop is tailored to audiences who do not have prior programming experience. The first half of the workshop covers Python programming basics and the second half covers performing data analysis and visualization in Python with real-world data. The audiences are encouraged to follow along with the examples on their own computer. We will use an online browser-based environment (Google Colab), and no software installations on your computer are required. Attendees will need a Google account and will sign in to their browser in order to use this cloud-based tool during the workshop.

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Workshop / Seminar Thu, 05 Nov 2020 10:51:28 -0500 2020-11-10T14:45:00-05:00 2020-11-10T16:15:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Mini-Workshop
Stitching Together the Fabric of 21st Century Social Science (November 10, 2020 2:45pm) https://events.umich.edu/event/79225 79225-20231464@events.umich.edu Event Begins: Tuesday, November 10, 2020 2:45pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Today’s pressing questions of social science and public policy demand an unprecedented degree of data scope and integration as we recognize the cross-cutting dynamics of economics, political science, sociology, demography, and psychology. This panel features four UM researchers who are pushing the frontier of data construction and linkage in coordination with partners at the U.S. Census Bureau.

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Workshop / Seminar Thu, 05 Nov 2020 11:01:06 -0500 2020-11-10T14:45:00-05:00 2020-11-10T16:15:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Mini-Workshop
The State of the Art in Automated and Semi-Automated Video Coding (November 10, 2020 2:45pm) https://events.umich.edu/event/79226 79226-20231465@events.umich.edu Event Begins: Tuesday, November 10, 2020 2:45pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Video is being acquired at an alarming rate across domains, including social research, healthcare, entertainment, sporting and more. The ability to code this video—attribute certain properties, labels, and other annotations—in support of analytical domain-relevant questions is critical; otherwise, human coding is required. Human coding, however, is laborious, expensive, not repeatable, and, worse, often error prone. Video coding, an area within artificial intelligence and computer vision, seeks automated and semi-automated methods to support more effective and robust video coding. This workshop will review the state of the art in video coding from a capabilities, limitations and tooling perspective and present real-world use-cases.

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Workshop / Seminar Thu, 05 Nov 2020 11:04:31 -0500 2020-11-10T14:45:00-05:00 2020-11-10T16:16:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Mini-Workshop
Funded Summer Research! (November 10, 2020 4:00pm) https://events.umich.edu/event/78017 78017-19955538@events.umich.edu Event Begins: Tuesday, November 10, 2020 4:00pm
Location: Off Campus Location
Organized By: Office of National Scholarships & Fellowships (ONSF)

REGISTER: https://myumi.ch/bvnN2

Attend this session to explore fully-funded summer research programs available to U-M undergraduates! Examples include the Amgen Scholars Program, NSF Research Experiences for Undergraduates, DAAD Research Internships in Science & Engineering, and more!

Learn more: https://lsa.umich.edu/onsf/summer-programs.html

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Livestream / Virtual Thu, 01 Oct 2020 09:07:18 -0400 2020-11-10T16:00:00-05:00 2020-11-10T17:00:00-05:00 Off Campus Location Office of National Scholarships & Fellowships (ONSF) Livestream / Virtual Microscope
U-M Data Science Annual Symposium 2020 (November 11, 2020 9:00am) https://events.umich.edu/event/75640 75640-19552852@events.umich.edu Event Begins: Wednesday, November 11, 2020 9:00am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Fully virtual. November 10th-11th

Keynote Speakers:
CATHERINE D’IGNAZIO
Assistant Professor, Urban Science & Planning
Director, Data + Feminism Lab
Department of Urban Studies & Planning, MIT

LAUREN KLEIN
Associate Professor, English, Quantitative Theory and Methods
Emory University

CALL FOR PRESENTATIONS
The Michigan Institute for Data Science (MIDAS) invites submission of 1) abstracts for presentations and 2) proposals for workshops, for the 2020 U-M Data Science Symposium.

As the focal point of data science at U-M, MIDAS facilitates the work of the broad U-M data science community, advances cross-cutting data science methodologies and applications, promotes the use of data science to benefit society, builds data science training pipelines, and develops partnerships with industry, academia and community. The annual symposium showcases the breadth and depth of U-M data science, shares research ideas that will lead to the next breakthroughs, and builds collaboration.

Presentations at the symposium should cover one or more of the following areas of data science:

Theoretical foundations
Methodology and tools
Real-world application in any domain
The ethics and societal impact of data science
Emerging areas of data science
WE INVITE SUBMISSIONS FOR THE FOLLOWING:
1. Proposals for mini-workshops. New this year, the symposium will include 3-5 mini-workshops on the afternoon of Nov. 10 as parallel sessions. Each workshop will be two hours long and for 50-100 attendees. They can be research discussion sessions, tutorials or hack sessions. Proposals should include the theme, format, organizer and potential presenters, as well as how the proposed mini-workshop brings out the strengths across multiple U-M research units and its benefit to U-M data science research and/or to the larger community. If your theme is selected, the symposium program committee will discuss with you further to help finalize the plan, and MIDAS will provide logistics support.

Some examples of possible themes: Mobilizing data science for crisis response; Data preparation for multi-party computing; Introduction of data science to attendees from non-profit organizations; Data science for wearables/mobile health.

If you would like to discuss your mini-workshop idea with the symposium committee before submission, please email Jing Liu, MIDAS Managing Director (ljing@umich.edu),

2. Abstracts for Research Talks (20 minutes including Q&A). The talks should discuss exciting research ideas, provide vision and context for challenging data science questions, stimulate discussions, and lay out collaboration opportunities. These talks should not simply be technical reports of projects.

3. Abstracts for Posters. The Posters can be used as technical reports of projects. Posters with students as first authors will be automatically entered in the poster competition.

DEADLINES:
Mini-workshop proposal submission: 11:59 pm, July 31, 2020; notification: Aug. 14, 2020
Talks and posters abstract submission: 11:59 pm, Sept. 18, 2020; notification: Oct. 9, 2020

SUBMISSION INSTRUCTIONS:
At least one author/presenter should have a U-M affiliation.
Please do not include figures, tables or bibliography in the abstract.
To submit proposals for mini-workshops:
Please include a title, list of organizers/potential presenters and their affiliations.
The main body of the submission should be no more than 300 words.
Please include the theme, format, how it features the strengths from multiple U-M research units, and its impact.
To submit abstracts for research talks and posters:
Please include a title, list of authors/presenters and their affiliations.
The main body of the submission should be no more than 300 words.
For research talks, please include a brief summary of the research idea and its context, potential methods and impact, and how it can benefit from collaboration.
For posters, please include a brief summary of the research, methods, main results and impact.
For questions, please contact midas-research@umich.edu.

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Conference / Symposium Tue, 13 Oct 2020 10:29:30 -0400 2020-11-11T09:00:00-05:00 2020-11-11T13:00:00-05:00 Off Campus Location Michigan Institute for Data Science Conference / Symposium U-M Data Science Annual Symposium 2020
Machine learning-guided equations for the on-demand prediction of natural gas storage capacities of materials for vehicular applications (November 11, 2020 9:40am) https://events.umich.edu/event/79212 79212-20231453@events.umich.edu Event Begins: Wednesday, November 11, 2020 9:40am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Transportation is responsible for nearly one-third of the world’s carbon dioxide (CO2) emission because of burning fossil fuel. While we dream for zero-carbon vehicles, future projections suggest little decline in fossil fuel consumption by the transportation sector until 2050. Therefore, ‘bending the curve’ of CO2 emission prompts the adoption of low-cost and reduced-emission alternative fuels. Natural gas (NG), the most abundant fossil fuel on earth, is such an alternative with nearly 25% lower carbon footprint and lower price compared to its gasoline counterpart. However, the widespread adoption of natural gas as a vehicular fuel is hindered by the scarcity of high-capacity, light-weight, low-cost, and safe storage systems. Recently, materials-based natural gas storage for vehicular applications have become one of the most viable options. Especially, nanoporous materials (NPMs) are in the spotlight of the U.S. Department of Energy (DOE) because of their exceptional energy storage capacities. However, the number of such NPMs is nearly infinite. It is unknown, a priori, which materials would have the expected natural gas storage capacity. Therefore, searching a high-performing material is like ‘finding a needle in a haystack’ that slows down the speed of materials discovery against growing technological demand. Here we present a novel approach of developing machine learning-guided equations for the on-demand prediction of energy storage capacities of NPMs using a few physically meaningful structural properties. These equations provide users the ability to calculate energy storage capacity of an arbitrary NPM rapidly using only paper and pencil. We show the utility of these equations by predicting NG storage of over 500,000 covalent-organic frameworks (COFs), a class of NPMs. We discovered a COF with record-setting NG storage capacity, surpassing the unmet target set by DOE. In principle, the data-driven approach presented here might be relevant to other disciplines including science, engineering, and health care.

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Presentation Thu, 05 Nov 2020 10:22:47 -0500 2020-11-11T09:40:00-05:00 2020-11-11T10:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Alauddin Ahmed
Fusing Computer Vision And Space Weather Modeling (November 11, 2020 10:00am) https://events.umich.edu/event/79214 79214-20231455@events.umich.edu Event Begins: Wednesday, November 11, 2020 10:00am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Space weather has impacts on Earth ranging from rare, immensely disruptive events (e.g., electrical blackouts caused by solar flares and coronal mass ejections) to more frequent impacts (e.g., satellite GPS interference from fluctuations in the Earth’s ionosphere caused by rapid variations in the solar extreme UV emission). Earth-impacting events are driven by changes in the Sun’s magnetic field; we now have myriad instruments capturing petabytes worth of images of the Sun at a variety of wavelengths, resolutions, and vantage points. These data present opportunities for learning-based computer vision since the massive, well-calibrated image archive is often accompanied by physical models. This talk will describe some of the work that we have been doing to start integrating computer vision and space physics by learning mappings from one image or representation of the Sun to another. I will center the talk on a new system we have developed that emulates parts of the data processing pipeline of the Solar Dynamics Observatory’s Helioseismic and Magnetic Imager (SDO/HMI). This pipeline produces data products that help study and serve as boundary conditions for solar models of the energetic events alluded to above. Our deep-learning-based system emulates a key component hundreds of times faster than the current method, potentially opening doors to new applications in near-real-time space weather modeling. In keeping with the goals of the symposium, however, I will focus on some of the benefits close collaboration has enabled in terms of understanding how to frame the problem, measure success of the model, and even set up the deep network.

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Presentation Thu, 05 Nov 2020 10:27:08 -0500 2020-11-11T10:00:00-05:00 2020-11-11T10:20:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation David Fouhey
Decoding the Environment of Most Energetic Sources in the Universe (November 11, 2020 10:20am) https://events.umich.edu/event/79215 79215-20231456@events.umich.edu Event Begins: Wednesday, November 11, 2020 10:20am
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Astrophysics has always been at the forefront of data analysis. It has led to advancements in image processing and numerical simulations. The coming decade is bringing qualitatively new and larger datasets than ever before. The next generation of observational facilities will produce an explosion in the quantity and quality of data for the most distant sources, such as the first galaxies and first quasars. Quasars are the most energetic objects in the universe, reaching luminosity up to 10^14 that of the Sun. Their emission is powered by giant black holes that convert matter into energy according to the famous Einstein’s equation E = mc^2. The largest progress will occur in quasar spectroscopy. Detailed measurements of spectrum of quasar light, as it is being emitted near the central black hole and partially absorbed by clouds of gas on the way to the observer on Earth, allows for a particularly powerful probe of quasar environment. Because spectra of different chemical elements are unique, spectroscopy allows to study not only the overall properties of matter such as density and temperature, but also the detailed chemical composition of the intervening matter. However, the interpretation of these spectra is made very challenging by the many sources contributing to the absorption of light. In order to take a full advantage of this new window into the nature of supermassive black holes we need detailed theoretical understanding of the origin of quasar spectral features. In a MIDAS PODS project we are applying machine learning to model and extract such features. We are training the models using data from the state-of-the-art numerical simulations of the early universe. This approach is fundamentally different from traditional astronomical data analysis. We have only started learning what information can be extracted and still looking for a new framework to interpret these data.

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Performance Thu, 05 Nov 2020 10:31:24 -0500 2020-11-11T10:20:00-05:00 2020-11-11T10:40:00-05:00 Off Campus Location Michigan Institute for Data Science Performance Oleg Gnedin
DCMB / CCMB Weekly Seminar (November 11, 2020 4:00pm) https://events.umich.edu/event/79286 79286-20264787@events.umich.edu Event Begins: Wednesday, November 11, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: There is a growing understanding that stress and depression during the process of training to become physicians is high. In this talk, we will discuss how we have used mobile and wearable data as well as genomics to understand the prevalence in the US and China, drivers and possible solutions about training physician depression and how the COVID-19 pandemic has affected them in the two countries.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Mon, 09 Nov 2020 14:13:58 -0500 2020-11-11T16:00:00-05:00 2020-11-11T17:00:00-05:00 Off Campus Location DCMB Seminar Series Livestream / Virtual Drs. Margit Burmeister and Srijan Sen
From Sky Surveys to Cancer: Spatial Data Everywhere (November 18, 2020 3:00pm) https://events.umich.edu/event/78283 78283-20002866@events.umich.edu Event Begins: Wednesday, November 18, 2020 3:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

The talk describes a 25 year journey leading from the Sloan Digital Sky Survey to a wide range of projects in data science. There are many common threads: the need for extreme interactivity, the need for flexible data aggregation and the commonality of spatial data. The size of data sets have grown almost a million fold, but user expectations for almost instant results has not changed. The talk will describe the gradual evolution of the SciServer, and how new interactive metaphors to interact with hundreds of terabytes of turbulence simulations emerged. We will discuss how machine learning and AI tools are transforming science, from simulations to how large experiments are designed and executed. We will also emphasize that much of these new developments still rely on having unique high value data sets at our fingertips, and how the long term survival of these is entering a critical, endangered phase.

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Presentation Fri, 13 Nov 2020 12:16:36 -0500 2020-11-18T15:00:00-05:00 2020-11-18T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation https://umich.zoom.us/j/96874360760
Dignifying the Disinherited: The Case for Pro-Black Engineering Education Research (November 18, 2020 3:30pm) https://events.umich.edu/event/79149 79149-20217705@events.umich.edu Event Begins: Wednesday, November 18, 2020 3:30pm
Location: Off Campus Location
Organized By: Engineering Education Research

Research is essential to the infrastructure of education and plays a prominent role in driving curriculum, policy, and professional practice. Therefore, engineering education research (EER) is critical to driving the impetus and approach to racial equity within engineering education and practice. This presentation will spotlight how anti-Blackness is embedded in EER practices and delineate its roots in America’s systemic racism. Centering the experience of Black people within the engineering education community helps reframe the problem of racial/ethnic exclusion, while generating a new way forward through pro-Black EER (PEER). PEER uses critical methodologies, frameworks, and intentional citation practices to assert the genius of Black people.

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Lecture / Discussion Tue, 03 Nov 2020 12:47:59 -0500 2020-11-18T15:30:00-05:00 2020-11-18T16:30:00-05:00 Off Campus Location Engineering Education Research Lecture / Discussion Dr. James Holly, Jr.
DCMB / CCMB Weekly Seminar (November 18, 2020 4:00pm) https://events.umich.edu/event/79290 79290-20264791@events.umich.edu Event Begins: Wednesday, November 18, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: Genetic variation affecting gene expression is wide-spread within and among species. This variation reflects the combined actions of mutation introducing new genetic variants and selection eliminating deleterious ones. Comparative studies of gene expression in fruit flies, yeast, plants, and mice have shown that the relative contributions of cis- and trans-acting variants to expression differences change over evolutionary time, indicating that selection has different effects on cis- and trans-regulatory variants. To better understand the reasons for this now widely observed pattern, we have been systematically studying the effects of mutation and selection on expression of the TDH3 gene of the baker’s yeast Saccharomyces cerevisiae. This work has revealed differences between cis- and trans-regulatory mutations in their frequency, effects, and dominance. Differences in pleiotropy are also generally assumed to exist between cis- and trans-regulatory that affect their evolutionary fate, but have been difficult to measure. In this talk, I will discuss how newly arising cis- and trans-regulatory mutations affecting expression of this focal gene are structured within the regulatory network, their pleiotropic effects on expression of all other genes in the genome, and how these pleiotropic effects influence fitness. A computational model of regulatory evolution integrating empirically observed differences in properties of cis- and trans-regulatory mutations will also be presented and discussed.

Patricia Wittkopp received a BS from the University of Michigan, a PhD from the University of Wisconsin, and did postdoctoral work at Cornell University. In 2005, she began a faculty position at the University of Michigan, where she is now the Sally L. Allen Collegiate Professor and Arthur F Thurnau Professor in the Department of Ecology and Evolutionary Biology and the Department of Molecular, Cellular, and Developmental Biology, and is a member of the Center for Computational Medicine and Bioinformatics. Her research investigates the genetic basis of phenotypic evolution, with an emphasis on the evolution of gene expression. She was a Damon Runyon Cancer Research Fellow, an Alfred P Sloan Research Fellow, Guggenheim Fellow, and a recipient of a March of Dimes Starter Scholar Award, the Margaret Dayhoff Mid-Career Award from the Society of Molecular Biology and Evolution, and the Friedrich Wilhelm Bessel Research Award from the Alexander von Humboldt Foundation.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Mon, 09 Nov 2020 15:12:34 -0500 2020-11-18T16:00:00-05:00 2020-11-18T17:00:00-05:00 Off Campus Location DCMB Seminar Series Livestream / Virtual
Gigliola Staffilani (MIT) to give MCAIM Colloquium (November 18, 2020 4:00pm) https://events.umich.edu/event/79435 79435-20325793@events.umich.edu Event Begins: Wednesday, November 18, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Center for Applied and Interdisciplinary Mathematics

Abstract: In recent years great progress has been made in the study of dispersive and wave equations. Over the years the toolbox used in order to attack highly nontrivial problems related to these equations has developed to include a variety of techniques from Fourier and harmonic analysis, analytic number theory, math physics, dynamical systems, probability and symplectic geometry. In this talk I will introduce a variety of problems connected with dispersive and wave equations, such as the derivation of a certain nonlinear Schrodinger equation from a quantum many-particles system, periodic Strichartz estimates, the concept of energy transfer, the invariance of a Gibbs measure associated to an infinite dimension Hamiltonian system and non-squeezing theorems for such systems when they also enjoy a symplectic structure.

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Workshop / Seminar Tue, 17 Nov 2020 09:56:08 -0500 2020-11-18T16:00:00-05:00 2020-11-18T17:00:00-05:00 Off Campus Location Michigan Center for Applied and Interdisciplinary Mathematics Workshop / Seminar Gigliola Staffilani, Massachusetts Institute of Technology (MIT)
Women + Data Science (November 19, 2020 3:30pm) https://events.umich.edu/event/78621 78621-20075975@events.umich.edu Event Begins: Thursday, November 19, 2020 3:30pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Michigan State University & University of Michigan invite you to their joint monthly webinar & meetup series for Fall 2020! Please register for access to the Zoom link.

Keynote speaker - Maria Chikina
Lightning talk speakers - Anna Yannakopoulos, MSU | Kayla Johnson, MSU | Stephanie Hickey, MSU

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Presentation Fri, 16 Oct 2020 15:47:06 -0400 2020-11-19T15:30:00-05:00 2020-11-19T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Women + Data Science
Sustainability Movie Night (November 20, 2020 4:00pm) https://events.umich.edu/event/78152 78152-19985102@events.umich.edu Event Begins: Friday, November 20, 2020 4:00pm
Location: Off Campus Location
Organized By: Engineering Student Government

Come watch "Cowspiracy: The Sustainability Secret" and listen to Professor Bryan Goldsmith talk with us about sustainability! Cowspiracy is a great documentary film on how humans are creating environmental disasters in ways most people might not know about. And Professor Goldsmith is performing cutting-edge research to promote sustainability through advanced materials and computational modeling. This event is put on by the sustainability committee of the Engineering Student Government and we believe that with education, we can learn to become more sustainable together.

RSVP here to get a GrubHub food voucher for the event:
https://forms.gle/UqoPKGzYcKY2MRXr8

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Film Screening Fri, 30 Oct 2020 14:35:08 -0400 2020-11-20T16:00:00-05:00 2020-11-20T18:00:00-05:00 Off Campus Location Engineering Student Government Film Screening Cowspiracy
MCAIM Colloquium | Passive Imaging and Communication (December 2, 2020 3:00pm) https://events.umich.edu/event/79547 79547-20375059@events.umich.edu Event Begins: Wednesday, December 2, 2020 3:00pm
Location: Off Campus Location
Organized By: Michigan Center for Applied and Interdisciplinary Mathematics

In this talk we consider the propagation of waves transmitted by ambient noise sources. We discuss a generalized Helmholtz-Kirchhoff identity that derives from Green's identity and Sommerfeld radiation condition. The inspection of this identity makes it possible to design passive imaging methods, i.e., imaging methods using only passive receiver arrays and ambient noise illumination. More surprisingly, it is also possible to design an original passive communication scheme between two passive arrays that uses only ambient noise illumination. The passive transmitter array does not transmit anything but it is a tunable meta-material surface that can modulate its scattering properties and encode a message in the modulation.

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Workshop / Seminar Mon, 23 Nov 2020 15:33:14 -0500 2020-12-02T15:00:00-05:00 2020-12-02T16:00:00-05:00 Off Campus Location Michigan Center for Applied and Interdisciplinary Mathematics Workshop / Seminar Josselin Garnier, Ecole Polytechnique, France
DCMB / CCMB Weekly Seminar (December 2, 2020 4:00pm) https://events.umich.edu/event/79631 79631-20436379@events.umich.edu Event Begins: Wednesday, December 2, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

ABSTRACT: The brain is made of networks of neurons that send information to each other via spikes. Sleep and wake are the most clearly definable brain states and each exerts unique effects upon neural network spiking activity. We used large-scale recordings in the frontal cortex of mice and rats to examine the activity of neurons during wake/sleep cycles and found that a novel form of homeostatic action is taken by sleep: homogenization of firing rates. Whereas it was previously believed that sleep simple decreased firing rates, we found that this was much more true of the most active neurons only, thereby reducing the variance of the population.

To extend this observation of homeostatic forced during sleep we also examine how sleep and wake states interact with learning and performance, which is also facilitated by sleep. We have therefore begun to record before, during and after learning sessions to determine how learning interacts with the usual homeostatic effects of sleep. Further we can also record how waking changes in brain states such as motivation and attention modulate firing and information processing by neurons during behavior itself.

Finally, our end-goal to translate these kinds of basic neurobiologic observations in healthy rodents to states of stress or treatments of stress. Unfortunately the chronic stress states of relevance to psychiatric disease do not last seconds but days and weeks. We have therefore begun to build new long-term recording environments to enable future experiments over these time-spans.

BIOGRAPHY:
Dr. Watson is an assistant professor in psychiatry at the University of Michigan. He grew up in Ann Arbor and then obtained his BA from Cornell University and his M.D. and Ph.D. degrees from Columbia University. During his Ph.D. he used two-photon microscopy to study the behavior of neurons in local cortical microcircuits. During his doctoral work he also participated in technical development of multi-beam two photon imaging techniques. Upon graduation from medical school, Dr. Watson pursued a residency in Psychiatry at Weill Cornell Medical College as well postdoctoral work at New York University. He received the National Institute for Mental Health’s Outstanding Resident Award, the American Psychiatric Association’s Lilly Research Fellowship and the Leon Levy Neuroscience Fellowship. He did a fellowship with Dr. Gyorgy Buzsaki at NYU to record ongoing activity in naturally behaving and sleeping animals wherein he showed that sleep reorganizes neuronal firing architecture in the neocortex in previously unknown ways. He is now combining his electrical recordings with behavioral tools to deepen his understanding of both use and regulation of cortical brain circuits.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Tue, 01 Dec 2020 09:45:44 -0500 2020-12-02T16:00:00-05:00 2020-12-02T17:00:00-05:00 Off Campus Location DCMB Seminar Series Livestream / Virtual
Student-Made Video Games Virtual Showcase (December 8, 2020 6:45pm) https://events.umich.edu/event/79332 79332-20272795@events.umich.edu Event Begins: Tuesday, December 8, 2020 6:45pm
Location: Off Campus Location
Organized By: EECS 494: Introduction to Game Development

Experience 20+ new student-made video games at the EECS 494 + EMU Games Virtual Showcase! Interact with the developers, learn more about Michigan and EMU's game development programs, and vote for your favorite games!

Visit https://494showcase.com at 7pm EST on 12/08 to participate!

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Exhibition Tue, 10 Nov 2020 16:45:21 -0500 2020-12-08T18:45:00-05:00 2020-12-08T22:00:00-05:00 Off Campus Location EECS 494: Introduction to Game Development Exhibition EECS 494 Virtual Showcase
Department of Computational Medicine & Bioinformatics Weekly Wednesday Seminar (December 9, 2020 4:00pm) https://events.umich.edu/event/79756 79756-20484062@events.umich.edu Event Begins: Wednesday, December 9, 2020 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Learning objectives:

1. Discuss the conceptual distinction and clinical utility of self-reported race/ethnicity and genetic ancestry in childhood asthma.
2. Discuss the role of genetic ancestry and socio-environmental exposures in childhood asthma.
3. Discuss ancestry-specific polygenic risk scores, precision medicine and childhood asthma disparities.

Short bio: Dr. Mersha is currently an Associate Professor in the Division of Asthma Research and leads the Population Genetics, Ancestry, and Bioinformatics (pGAB) Laboratory (https://research.cchmc.org/mershalab/Home.php).
Dr. Mersha’s research combines quantitative, ancestry and statistical genomics to unravel genetic and non-genetic contributions to complex diseases and racial disparities in human populations, particularly asthma and asthma-related allergic disorders. Much of his research is at the interface of genetic ancestry, statistics, bioinformatics, and functional genomics, and he is interested in cross-line disciplines to unravel the interplay between genome and envirome underlying asthma risk. His long-term research goal is to understand and dissect how biologic predisposition and environmental exposures interact to shape racial disparities in complex disorders.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Mon, 07 Dec 2020 11:27:42 -0500 2020-12-09T16:00:00-05:00 2020-12-09T17:15:00-05:00 Off Campus Location DCMB Seminar Series Livestream / Virtual Tesfaye ("Tes") Mersha, PhD (Associate Professor, Division of Asthma Research at Cincinnati Children's Hospital Medical Center)
Data-Driven Methods for Geometric Systems (December 14, 2020 12:30pm) https://events.umich.edu/event/79750 79750-20483939@events.umich.edu Event Begins: Monday, December 14, 2020 12:30pm
Location: Off Campus Location
Organized By: Michigan Robotics

Recently, robots have played an increasingly helpful role in navigation, mapping, remote manipulation, and many other dynamic applications. As capabilities continue to advance, robots with many joints offer the potential to execute more nuanced, sophisticated tasks than simpler mechanisms. However, the curse of dimensionality can place prohibitive costs in time and resources in order to control and refine such behaviors. In this work, we investigated the role of system geometry in addressing these challenges. Geometric mechanics offers a framework to generalize intuitive features, like friction and inertia, into broad categories of robots that experience the same functional forms relating momentum, internal shape motions, and body motions. We focused on friction-dominated robots, where we could see that the vanishing role of momentum reduces the dynamics from a second order to a first order system. Subsequent architectural simplifications in behavior modeling, planning, and control resulted in robots that were capable of rapidly self-modeling and optimizing useful behaviors. We demonstrated on a simulated robotic snake that during joint failure, the system was able to adapt more quickly when it was equipped with more motorized joints. In this case, dimensionality was an asset, rather than a liability. Additionally, we demonstrated that the methods use no prior knowledge about system kinematics by building a robot made of tree branches. This system was able to optimize a library of primitives for navigation, training on less than 12 minutes of experimental data. Finally we showed that these methods can extend to both soft robots and systems with momentum. This defense will cover our findings concerning the practical applications of data-driven geometric mechanics.

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Livestream / Virtual Mon, 07 Dec 2020 13:27:15 -0500 2020-12-14T12:30:00-05:00 2020-12-14T13:30:00-05:00 Off Campus Location Michigan Robotics Livestream / Virtual tree branch robot
MIDAS Seminar Series Presents: Eric Xing – Carnegie Mellon University (December 14, 2020 4:00pm) https://events.umich.edu/event/79453 79453-20327788@events.umich.edu Event Begins: Monday, December 14, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Professor, Computer Science, Carnegie Mellon University

Founder, CEO, and Chief Scientist, Petuum Inc.

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Presentation Tue, 17 Nov 2020 17:17:42 -0500 2020-12-14T16:00:00-05:00 2020-12-14T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Eric Xing
THE CHANGING LANDSCAPE OF BIOMEDICAL DATA COLLECTIONS (December 21, 2020 4:00pm) https://events.umich.edu/event/79454 79454-20327789@events.umich.edu Event Begins: Monday, December 21, 2020 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Abstract:

The landscape of biomedical data is incredibly complex, rich, and rapidly changing, especially as we navigate the influx of data from the COVID-19 pandemic. More and more data is moving to the cloud, both existing and newly generated, with multiple cloud providers adding to the complexity. The data includes Electronic Health Records (EHRs), genomic data, and imaging/sensed data (e.g., pictures of tumors, lungs, cells, gas chromatographs), and all this data is enabling us to delve much deeper into complex biological concepts, for example, the relationship between phenotypes and genotypes. The NHLBI BioData Catalyst project is one example of a coordinated effort to move vast amounts of data into the cloud, navigating the complexities of data ingestion, diverse and widespread teams, and multiple cloud providers/environments.

On top of the massive shift to being able to apply huge amounts of data to better understand individuals, populations and, ultimately, life itself, we need a way to organize all this information. The activities in the NCATS Biomedical Data Translator project can be viewed as a constantly evolving analysis of the relationships of disparate data sets. In a sense, Translator is like Google for searching biomedical data.

My talk will introduce both projects and their respective impacts on biomedical research.

Bio:

Dr. Stan Ahalt is the Director of the Renaissance Computing Institute (RENCI) at UNC-Chapel Hill. As Director, he leads a team of research scientists, software and network engineers, data science specialists, and visualization experts who work closely with faculty research teams at UNC, Duke, NCSU, and partners across the country. Dr. Ahalt is also a Professor in UNC’s Department of Computer Science and the Associate Director of Informatics and Data Science (IDSci) in the North Carolina Translational and Clinical Sciences Institute (NC TraCS), UNC’s CTSA award; in this role, Dr. Ahalt leverages the expertise and resources of RENCI to foster clinical and translational research across UNC’s campus. Dr. Ahalt earned his Ph.D. in Electrical and Computer Engineering from Clemson University and has over 30 years of experience in data science, signal and image processing, and pattern recognition/ML.

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Presentation Mon, 23 Nov 2020 12:01:11 -0500 2020-12-21T16:00:00-05:00 2020-12-21T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Stan Ahalt
Michigan IT 2021 Student Career Fair (January 12, 2021 2:00pm) https://events.umich.edu/event/79929 79929-20515561@events.umich.edu Event Begins: Tuesday, January 12, 2021 2:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

Attention U-M students looking for more experience in information technology! The Michigan IT community is hiring for winter and summer positions!

Register today for the virtual 2021 Michigan IT Student Career Fair on Tuesday, January 12, 2021 from 2 to 4 p.m. Speak directly with the U-M schools, colleges, and units hiring for IT related positions! Learn more and register for the event at the Michigan IT Student Career Fair website.

Who is Michigan IT? Michigan IT is not a department. It’s a community of more than 2,600 IT professional staff across the University of Michigan schools, colleges, libraries, research institutes, Michigan Medicine, and administrative units.

For questions, contact MichiganIT-StuCareerFair@umich.edu.

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Careers / Jobs Fri, 11 Dec 2020 10:58:21 -0500 2021-01-12T14:00:00-05:00 2021-01-12T16:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Careers / Jobs Michigan IT 2021 Student Career Fair, January 12, 2021 from 2-4 p.m.
Artificial Intelligence & Machine Learning In Health Sciences Education (January 14, 2021 12:00pm) https://events.umich.edu/event/80071 80071-20554878@events.umich.edu Event Begins: Thursday, January 14, 2021 12:00pm
Location: Off Campus Location
Organized By: RISE (Research. Innovation. Scholarship. Education.)

Please join us on Thursday, January 14, 2021, 12:00 - 1:00 PM for a discussion on Artificial Intelligence & Machine Learning in Health Sciences Education. We are interested in learning more about how these new technologies can cultivate new approaches in teaching and learning that can improve health and science outcomes.

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Livestream / Virtual Wed, 16 Dec 2020 07:13:27 -0500 2021-01-14T12:00:00-05:00 2021-01-14T13:00:00-05:00 Off Campus Location RISE (Research. Innovation. Scholarship. Education.) Livestream / Virtual RISE Virtual Talking Circle
LHS Collaboratory (January 21, 2021 11:30am) https://events.umich.edu/event/80293 80293-20688136@events.umich.edu Event Begins: Thursday, January 21, 2021 11:30am
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

The LHS Collaboratory presents Rachel Richesson, PhD, MPH, MS, FACMI, Professor of Learning Health Sciences, Department of Learning Health Sciences at the University of Michigan in a virtual event on 1/21/2021 from 11:30 am to 1:00 pm ET.

Professor Richesson's talk, "Data Standards and Learning Health Systems –Challenges and Opportunities," will be followed by an audience Q&A. Questions are also encouraged prior to the event.

Please send questions to LHSCollaboratory-info@umich.edu.

Registration in advance at: https://umich-health.zoom.us/webinar/register/WN_HytRsYwITc6oOGRj0F_MOA

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Livestream / Virtual Sat, 02 Jan 2021 10:24:08 -0500 2021-01-21T11:30:00-05:00 2021-01-21T13:00:00-05:00 Off Campus Location Department of Learning Health Sciences Livestream / Virtual LHS Collaboratory logo
MIDAS seminar series presents: Arya Farahi, MIDAS fellow (January 21, 2021 4:00pm) https://events.umich.edu/event/81037 81037-20838679@events.umich.edu Event Begins: Thursday, January 21, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Arya Farahi is a Data Science Fellow at the University of Michigan

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Presentation Thu, 21 Jan 2021 09:33:38 -0500 2021-01-21T16:00:00-05:00 2021-01-21T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Arya Farahi
COMPUTER VISION: WHO IS HELPED AND WHO IS HARMED? (January 25, 2021 4:00pm) https://events.umich.edu/event/79537 79537-20373074@events.umich.edu Event Begins: Monday, January 25, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Computer vision has ceased to be a purely academic endeavor. From law enforcement, to border control, to employment, healthcare diagnostics, and assigning trust scores, computer vision systems are being rapidly integrated into all aspects of society. In research, there are works that purport to determine a person’s sexuality from their social network profile images, others that claim to classify “violent individuals” from drone footage. These works were published in high impact journals, and some were presented at workshops in top tier computer vision conferences such as CVPR.

A critical public discourse surrounding the use of computer-vision based technologies has also been mounting. For example, the use of facial recognition technologies by policing agencies has been heavily critiqued and, in response, companies such as Microsoft, Amazon, and IBM have pulled or paused their facial recognition software services. Gender Shades showed that commercial gender classification systems have high disparities in error rates by skin-type and gender, and other works discuss the harms caused by the mere existence of automatic gender recognition systems. Recent papers have also exposed shockingly racist and sexist labels in popular computer vision datasets–resulting in the removal of some. In this talk, I will highlight some of these issues and proposed solutions to mitigate bias, as well as how some of the proposed fixes could exacerbate the problem rather than mitigate it.

Bio:

Timnit Gebru is a senior research scientist at Google co-leading the Ethical Artificial Intelligence research team. Her work focuses on mitigating the potential negative impacts of machine learning based systems. Timnit is also the co-founder of Black in AI, a non profit supporting Black researchers and practitioners in artificial intelligence. Prior to this, she did a postdoc at Microsoft Research, New York City in the FATE (Fairness Transparency Accountability and Ethics in AI) group, where she studied algorithmic bias and the ethical implications underlying any data mining project. She received her Ph.D. from the Stanford Artificial Intelligence Laboratory, studying computer vision under Fei-Fei Li. Prior to joining Fei-Fei’s lab, she worked at Apple designing circuits and signal processing algorithms for various Apple products including the first iPad.

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Presentation Mon, 23 Nov 2020 10:00:32 -0500 2021-01-25T16:00:00-05:00 2021-01-25T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Timnit Gebru
Supporting the Integration of Numerical Computation in Physics Education (January 27, 2021 3:30pm) https://events.umich.edu/event/80602 80602-20761740@events.umich.edu Event Begins: Wednesday, January 27, 2021 3:30pm
Location: Off Campus Location
Organized By: Engineering Education Research

Computation has revolutionized how modern science is done. Modern scientists use computational techniques to reduce mountains of data, to simulate impossible experiments, and to develop intuition about the behavior of complex systems. Much of the research completed by modern scientists would be impossible without the use of computation. And yet, while computation is a crucial tool of practicing scientists, most modern science curricula do not reflect its importance and utility. In this talk, I will discuss the urgent need to construct such curricula and present research that investigates the challenges at a variety of scales from the large (institutional structures) to the small (student understanding of a concept). I will discuss how the results of this research can be leveraged to facilitate the computational revolution in science education. This research will help us understand and develop institutional incentives, effective teaching practices, evidence-based course activities, and valid assessment tools. This work has been supported by Michigan State University’s CREATE for STEM Institute, the National Science Foundation, the Norwegian Agency for Quality Assurance in Education (NOKUT), the Norwegian Research Council, and the Thon Foundation.

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Lecture / Discussion Mon, 11 Jan 2021 12:45:09 -0500 2021-01-27T15:30:00-05:00 2021-01-27T16:30:00-05:00 Off Campus Location Engineering Education Research Lecture / Discussion Danny Caballero
Department of Computational Medicine & Bioinformatics Seminar (January 27, 2021 4:00pm) https://events.umich.edu/event/80722 80722-20777538@events.umich.edu Event Begins: Wednesday, January 27, 2021 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: Massively parallel single-cell and single-nucleus RNA sequencing (sc/snRNA-seq) has opened the way to systematic tissue atlases in health and disease, but as the scale of data generation is growing, so is the need for computational pipelines for scaled analysis. We developed Cumulus, the first comprehensive cloud-based framework, to address the big data challenge arising from sc/snRNA-seq analysis. Cumulus combines the power of cloud computing with improvements in algorithm and implementation to achieve high scalability, low cost, user-friendliness and integrated support for a comprehensive set of features. We benchmark Cumulus on the Human Cell Atlas Census of Immune Cells dataset of bone marrow cells and show that it substantially improves efficiency over conventional frameworks, while maintaining or improving the quality of results, enabling large-scale studies.

In recent years, biologists have found that sc/snRNA-seq alone is not enough to reveal the full picture of how cells function and coordinate with each other in a complex tissue. They begin to couple sc/snRNA-seq with other common data modalities, such as single-cell ATAC-seq (scATAC-seq), single-cell Immune Repertoire sequencing (scIR-seq), spatial transcriptomics and mass cytometry. This data coupling is called single-cell multimodal omics. As it is becoming a new common practice, new analysis needs emerge along with two major computational challenges: big data challenge and integration challenge. The big data challenge requires us to develop scalable computational infrastructure and algorithms to deal with the ever-growing large datasets produced from the community. The integration challenge requires us to design new algorithms to enable holistic integration of heterogeneous data from different modalities. In the last part of my talk, I will discuss my team’s efforts and plans to develop Cumulus as an integrated data analysis framework for scaled single-cell multimodal omics.

Single-cell multimodal omics has the potential to provide a more comprehensive characterization of complex multicellular systems than the sum of its parts. As the datasets produced from the community keep growing substantially, the enhanced Cumulus will continue playing an important role in the effort to build atlases of complex tissues and organs at higher cellular resolution, and in leveraging them to understand the human body in health and disease.

Short bio: Dr. Bo Li is an assistant professor of medicine at Harvard Medical School, the director of Bioinformatics and Computational Biology at Center for Immunology Inflammatory Diseases, Massachusetts General Hospital, and an associate member of the Broad Institute of MIT and Harvard. His research focuses on large-scale single-cell and single-nucleus genomics data analysis. He received his Ph.D. in computer science from UW-Madison and completed two postdoctoral trainings with Dr. Lior Pachter at UC Berkeley and Dr. Aviv Regev at Broad Institute. He is best known for developing RSEM, an impactful RNA-seq transcript quantification software. RSEM is cited 9,384 times (Google Scholar) and adopted by several big consortia such as TCGA, ENCODE, GTEx and TOPMed.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Wed, 13 Jan 2021 14:32:34 -0500 2021-01-27T16:00:00-05:00 2021-01-27T17:00:00-05:00 Off Campus Location DCMB Seminar Series Livestream / Virtual Bo Li, PhD (Assistant Professor at Harvard Medical School in Boston, MA)
Privacy@Michigan: Privacy Day Discussion with Guest Speaker Sarah Igo (January 28, 2021 4:00pm) https://events.umich.edu/event/80919 80919-20832763@events.umich.edu Event Begins: Thursday, January 28, 2021 4:00pm
Location: Off Campus Location
Organized By: Information and Technology Services (ITS)

What’s in a number? In the case of the U.S. Social Security number, the now-familiar nine digits hold a fascinating story about modern citizenship, governance and data. Starting in 1936, the SSN was affixed to more and more American lives, spurring new uses of punch cards and filing systems as well as novel dilemmas about personal data. This talk gives a brief history of the SSN and what it reveals about the changing state of “our” information.

Speaker: Sarah Igo, acclaimed author and historian
Presentation: “Nine Digits: A Brief History of Data, Privacy and the SSN”
Webinar: Thursday, January 28 • 4 – 5 p.m.
More info: https://safecomputing.umich.edu/events/privacy-at-michigan

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Lecture / Discussion Wed, 20 Jan 2021 13:36:43 -0500 2021-01-28T16:00:00-05:00 2021-01-28T17:00:00-05:00 Off Campus Location Information and Technology Services (ITS) Lecture / Discussion Privacy@Michigan Webinar - Speaker: Sarah Igo
Declare ECE! (January 29, 2021 1:00pm) https://events.umich.edu/event/80780 80780-20791337@events.umich.edu Event Begins: Friday, January 29, 2021 1:00pm
Location: Off Campus Location
Organized By: Electrical and Computer Engineering

Electrical and computer engineering is at the heart of modern technology and innovation, including computers, cars, robotics, energy and more. ECE will provide the skills you need to CHANGE THE WORLD and GET A JOB!!!

Scheduled Activities at Event:

– Opening presentation from Professor P.C. Ku, Associate Chair of ECE Undergraduate Affairs

– Presentation on available events and activities for ECE students

– Panel of current ECE students

– Learn about EECS 200 that offers hands-on design, build, and test opportunities

– Learn about Major Design Experience (MDE) options

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Presentation Fri, 15 Jan 2021 10:04:52 -0500 2021-01-29T13:00:00-05:00 2021-01-29T14:00:00-05:00 Off Campus Location Electrical and Computer Engineering Presentation Declare ECE!
CCMB / DCMB Weekly Seminar Series (February 3, 2021 4:00pm) https://events.umich.edu/event/81571 81571-20927558@events.umich.edu Event Begins: Wednesday, February 3, 2021 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract:
Understanding intra-tumour heterogeneity (ITH), in particular identifying the presence of subclonal populations of cancer cells that may respond differently to treatments, is key to support precision medicine approaches. Capturing ITH from genomic measures raises however a number of computational challenges. In this talk I will present CloneSig, a method to infer ITH from "bulk" genomic data, in particular whole-exome sequencing data, and capture changes in mutational processes active in different subclones. I will then discuss the promises of single-cell genomics and some challenges it raises, in particular to transform raw count data into useful representations, integrate heterogeneous modalities, and learn gene regulation.

Short bio: Jean-Philippe Vert has been a research scientist at Google Brain in Paris and adjunct researcher at PSL University Mines ParisTech since 2018. He graduated from Ecole Polytechnique and holds a PhD in mathematics from Paris University. He was research professor and the founding director of the Centre for Computational Biology at Mines ParisTech from 2006 to 2018, team leader at the Curie Institute on computational biology of cancer (2008-2018), visiting scholar at UC Berkeley (2015-2016), and professor at the department of mathematics of Ecole normale supérieure in Paris (2016-2018).
His research interest concerns the development of statistical and machine learning methods, particularly to model complex, high-dimensional and structured data, with an application focus on computational biology, genomics and precision medicine. His recent contributions include new methods to embed structured data such as strings, graphs or permutations to vector spaces, regularization techniques to learn from limited amounts of data, and computationally efficient techniques for pattern detection and feature selection.
He is also working on several medical applications in cancer research, including quantifying and modeling cancer heterogeneity, predicting response to therapy, and modeling the genome and epigenome of cancer cells at the single-cell level.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Mon, 01 Feb 2021 14:12:04 -0500 2021-02-03T16:00:00-05:00 2021-02-03T17:00:00-05:00 Off Campus Location DCMB Seminar Series Livestream / Virtual Jean-Philippe Vert, PhD (Research Scientist at Google Brain in Paris, Adjunct Researcher at PSL University Mines ParisTech)
AIAA Winter Mass Meeting (February 4, 2021 7:00pm) https://events.umich.edu/event/81559 81559-20927549@events.umich.edu Event Begins: Thursday, February 4, 2021 7:00pm
Location: Off Campus Location
Organized By: American Institute of Aeronautics and Astronautics

Join us for our Mass Meeting this Thursday, February 4 at 7 PM as we present an overview of our org and bring everyone up to speed as to what to expect this semester as a member of AIAA! We'll briefly go over our plan, have a bite together (all attendees will be reimbursed $5 on Venmo), and then, we'll finish off the night with a game of Aerospace Kahoot! The winner gets a $15 Amazon gift card, so come PREPARED!!!

Please fill out this Google form if you are interested in becoming a member of our branch:
https://forms.gle/3a4f4qHd1E4Ta67t7

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Rally / Mass Meeting Mon, 01 Feb 2021 19:09:28 -0500 2021-02-04T19:00:00-05:00 2021-02-04T20:00:00-05:00 Off Campus Location American Institute of Aeronautics and Astronautics Rally / Mass Meeting meeting flyer
MIDAS Seminar Series and ICPSR Co-present: Misty Heggeness, Research Economist, US Census Bureau (February 8, 2021 4:00pm) https://events.umich.edu/event/81038 81038-20838680@events.umich.edu Event Begins: Monday, February 8, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

I examine the impact of the COVID-19 shock on parents’ labor supply during the initial stages of the pandemic. Using difference-in-difference estimation and monthly panel data from the Current Population Survey (CPS), I compare labor market attachment, non-work activity, hours worked, and earnings and wages of those in areas with early school closures and stay-in-place orders with those in areas with delayed or no pandemic closures. While there was no immediate impact on detachment or unemployment, mothers with jobs in early closure states were 68.8 percent more likely than mothers in late closure states to have a job but not be working as a result of early shutdowns. There was no effect on working fathers or working women without school age children. Mothers who continued working increased their work hours relative to comparable fathers; this effect, however, appears entirely driven by a reduction in fathers’ hours worked. Overall, the pandemic appears to have induced a unique immediate juggling act for working parents of school age children. Mothers took a week of leave from formal work; fathers working fulltime, for example, reduced their hours worked by 0.53 hours over the week. While experiences were different for mothers and fathers, each are vulnerable to scarring and stunted opportunities for career growth and advancement due to the pandemic.

Misty Heggeness is Principal Economist and Senior Advisor for Evaluations and Experiments at the U.S. Census Bureau. Dr. Heggeness has a PhD from the University of Minnesota. She has worked as a research economist in the U.S. federal government since 2010 and also held positions at the National Institutes of Health and the US Department of Labor. She teaches a course on policy analysis and evaluation at the University of Maryland. Her research focuses on survey response quality, poverty & inequality, gender, and the high skilled workforce and has appeared in outlets like The New York Times, Wall Street Journal, The Economist, Nature, and Science. At the Census Bureau, she leads a high-profile initiative to integrate the Census Bureau’s major frames and co-leads a 2020 administrative records census project.

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Presentation Thu, 21 Jan 2021 09:38:52 -0500 2021-02-08T16:00:00-05:00 2021-02-08T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Misty Heggeness
CCMB / DCMB Weekly Seminar (February 10, 2021 4:00pm) https://events.umich.edu/event/81413 81413-20893777@events.umich.edu Event Begins: Wednesday, February 10, 2021 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: The increasing omics data and advanced AI technology present a great opportunity for novel biomarker-driven cancer therapies. My talk will cover two parts. First, I will introduce DrBioRight, a natural language-oriented and AI-driven analytic platform for omic data analysis. This platform allows users to perform analysis directly through human languages and it improves the performance through adaptive learning. Armed with NLP and AI technologies, this analytic will maximize the utility of omics data and lead to a new paradigm for biomedical research. Second, I will discuss our recent work on enhancer RNAs. We show that the eRNAs provide explanatory power for cancer phenotypes beyond that provided by mRNA expression through resolving intratumoral heterogeneity with enhancer cell-type specificity. Our study provides a high-resolution map of eRNA loci through which enhancer activities can be quantified by RNA-seq, enabling a broad range of biomedical investigations.

Bio: Dr. Liang is a Barnhart Family Distinguished Professor in Targeted Therapies and the Deputy Chair of Department of Bioinformatics and Computational Biology at the University of Texas MD Anderson Cancer Center. He is also a professor in the Department of Systems Biology. He received his B.S. in chemistry from Peking University (China) in 2001 and Ph.D. in quantitative and computational biology from Princeton University (NJ, USA) in 2006. Dr. Liang then finished his postdoctoral training in evolutionary and computational genomics at the University of Chicago. He joined MD Anderson Cancer Center as Assistant Professor and started his own group in 2009.
At MD Anderson, Dr. Liang’s group focuses on bioinformatics tool development, integrated cancer genomic analysis, regulatory RNA regulation/modification, and cancer systems biology. His systematic studies on enhancer regulation, RNA editing, functional proteomics, sex effects, and driver mutations in cancer have generated profound impacts on the biomedical research community and attracted wide attention such as The Wall Street Journal and Newsweek. The bioinformatics tools his group developed (such as TCPA, TANRIC, FASMIC, DrBioRight) collectively have >110,000 active users worldwide. Since 2010, he has published >140 papers total citation >25,000 times), including 41 corresponding-author papers in top journals such as Cell, Cancer Cell, Nature Genetics, Nature Biotechnology, and Nature Methods.
Dr. Liang has taken leadership roles in large cancer consortium projects, including chair of The Cancer Genome Atlas (TCGA) PanCanAtlas working groups, one co-leader of International Cancer Genome Consortium (ICGC) Pan-Cancer Whole Genome Analysis Project, and one co-chair of NCI Genomic Data Commons (GDC) QC working group. He won several awards including MD Anderson R. Lee Clark Fellow Award (2014), the University of Texas System STARS Award (2015), MD Anderson Faculty Scholar Award (2018), and AACR Team Science Award (2020). He is an elected Fellow of American Association for the Advancement of Science (AAAS).

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Thu, 28 Jan 2021 11:33:05 -0500 2021-02-10T16:00:00-05:00 2021-02-10T17:00:00-05:00 Off Campus Location DCMB Seminar Series Livestream / Virtual Han Liang, PhD Professor and Deputy Chair, Department of Bioinformatics and Computational Biology Professor, Department of Systems Biology Barnhart Family Distinguished Professor in Targeted Therapies The University of Texas MD Anderson Cancer Center
Improving the Evidence to Practice Gap through Innovation in Health Science Education (February 17, 2021 3:00pm) https://events.umich.edu/event/81403 81403-20893762@events.umich.edu Event Begins: Wednesday, February 17, 2021 3:00pm
Location: Off Campus Location
Organized By: RISE (Research. Innovation. Scholarship. Education.)

Please join us on Wednesday, February 17, 2021, 3:00 - 4:00 PM for a discussion on Improving the Evidence to Practice Gap through Innovation in Health Science Education.

Register for the event via Eventbrite: https://www.eventbrite.com/e/rise-virtual-talking-circle-tickets-130006826919

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Workshop / Seminar Thu, 28 Jan 2021 06:37:46 -0500 2021-02-17T15:00:00-05:00 2021-02-17T16:00:00-05:00 Off Campus Location RISE (Research. Innovation. Scholarship. Education.) Workshop / Seminar RISE Virtual Talking Circle
An Honest Conversation: Diversity and Inclusion in Engineering (February 17, 2021 3:30pm) https://events.umich.edu/event/81702 81702-20943454@events.umich.edu Event Begins: Wednesday, February 17, 2021 3:30pm
Location: Off Campus Location
Organized By: Engineering Education Research

In 2020, we witnessed several examples of social injustice and social unrest. As human beings and engineers, we must decide how we want to respond to what happened and how we want to move forward. Calls to improve our approach to diversity, equity, and inclusion (DEI) have coincided with the call to update our overall engineering curriculum. Over the years, several initiatives have been launched to address such issues, which primarily attempt to address perceived inadequacies in underrepresented students. However, scarce efforts have been developed to address the engineering culture that has limited the full participation of women and people of color in engineering. Furthermore, few of us in engineering have the knowledge, skills, or ability to productively engage with issues leading to the marginalization and social unrest. Rarely do we dare to apply our problem-solving or critical thinking approaches to how to educate or improving DEI. As a result, the goal of this talk is to provide engineers with language to have an honest conversation about our individual and collective response to the inequity in engineering and realign our actions to improve engineering education. This impactful workshop will provide definitions and practical examples of key DEI concepts in engineering based on holistic interdisciplinary research.

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Lecture / Discussion Thu, 04 Feb 2021 08:44:52 -0500 2021-02-17T15:30:00-05:00 2021-02-17T16:30:00-05:00 Off Campus Location Engineering Education Research Lecture / Discussion Dr. Kelly Cross
Special Joint Seminar between our Department and the Genome Science Training Program (February 17, 2021 4:00pm) https://events.umich.edu/event/80415 80415-20719669@events.umich.edu Event Begins: Wednesday, February 17, 2021 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: The human genome sequence folds in three dimensions (3D) into a rich variety of locus-specific contact patterns. Despite growing appreciation for the importance of 3D genome folding in evolution and disease, we lack models for relating mutations in genome sequences to changes in genome structure and function. Towards that goal, we discovered that the organization of gene regulatory domains within chromosomes and the specific sequences that sit at boundaries between domains are under strong negative selection in the human population and over primate evolution. Motivated by this signature of functional importance, we developed a deep convolutional neural network, called Akita, that accurately predicts genome folding from DNA sequence alone. Representations learned by Akita underscore the importance of the structural protein CTCF but also reveal a complex grammar beyond CTCF binding sites that underlies genome folding. Akita enabled rapid in silico predictions for effects of sequence mutagenesis on the 3D genome, including differences in genome folding across species and in disease cohorts, which we are validating with CRISPR-edited genomes. This prediction-first strategy exemplifies my vision for a more proactive, rather than reactive, role for data science in biomedical research.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

Short bio: Dr. Katherine S. Pollard is Director of the Gladstone Institute of Data Science & Biotechnology, Investigator at the Chan Zuckerberg Biohub, Professor in the Department of Epidemiology & Biostatistics and Bioinformatics Graduate Program at UCSF. Her lab develops statistical models and open source bioinformatics software for the analysis of massive genomic datasets. Previously, Dr. Pollard was an assistant professor in the University of California, Davis Genome Center and Department of Statistics. She earned her PhD in Biostatistics from the University of California, Berkeley and was a comparative genomics postdoctoral fellow at the University of California, Santa Cruz. She was awarded the Thomas J. Watson Fellowship, the Sloan Research Fellowship, and the Alumna of the Year from UC Berkeley. She is a Fellow of the International Society for Computational Biology and of the California Academy of Sciences.

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Livestream / Virtual Wed, 06 Jan 2021 09:24:05 -0500 2021-02-17T16:00:00-05:00 2021-02-17T17:00:00-05:00 Off Campus Location DCMB Seminar Series Livestream / Virtual Katherine S. Pollard, PhD (Director, Gladstone Institute of Data Science & Biotechnology; Professor, UCSF; Investigator, Chan Zuckerberg Biohub)
MIDAS Seminar Series, MiCHAMP, and Precision Health Co-Present: Casey Greene, School of Medicine, University of Pennsylvania (February 22, 2021 4:00pm) https://events.umich.edu/event/81040 81040-20838682@events.umich.edu Event Begins: Monday, February 22, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Abstract:

Biomedical research disciplines are awash in data. These data, generated by new technologies as well as old approaches, provide the opportunity to systematically extract biological patterns that were previously difficult to observe. I’ll share vignettes focusing on three areas: 1) how we can use large-scale public data to better understand data for which few observations are available; 2) some work to understand why large-scale integrative analyses are beneficial; and 3) how machine learning can help to produce more datasets suitable for integration while maintaining participant privacy.

Dr. Casey Greene is an Associate Professor of Systems Pharmacology and Translational Therapeutics in the Perelman School of Medicine at the University of Pennsylvania and the Director of the Childhood Cancer Data Lab, powered by Alex’s Lemonade Stand Foundation. His lab develops machine learning methods that integrate distinct large-scale datasets to extract the rich and intrinsic information embedded in such integrated data. This approach reveals underlying principles of genetics, cellular environments, and cellular responses to that environment. Casey’s devotion to the analysis of publicly available data doesn’t stop in the lab. In 2016, Casey established the “Research Parasite Awards” after an editorial in the New England Journal of Medicine deemed scientists who analyze other scientists’ data “research parasites.” These honors, accompanied by a cash prize, are awarded to scientists who rigorously reanalyze other people’s data to learn something new.

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Presentation Thu, 28 Jan 2021 09:51:43 -0500 2021-02-22T16:00:00-05:00 2021-02-22T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Casey Greene
Bioethics Discussion: Artificial Life (February 23, 2021 7:00pm) https://events.umich.edu/event/58837 58837-14563729@events.umich.edu Event Begins: Tuesday, February 23, 2021 7:00pm
Location: Off Campus Location
Organized By: The Bioethics Discussion Group

A discussion on new forms.

Join us at: https://umich.zoom.us/j/99926126455.

A few readings to consider:
––Is the creation of artificial life morally significant?
––Why Do We Need Artificial Life?
––Artificial Life
––The Bioethicist Who Cried “Synthetic Biology”: An Analysis of the Function of Bioterrorism Predictions in Bioethics

For more information and/or to receive a copy of the readings visit http://belmont.bme.umich.edu/bioethics-discussion-group/discussions/056-artificial-life/.

––
Life finds a way over to the blog: https://belmont.bme.umich.edu/incidental-art/

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Lecture / Discussion Fri, 08 Jan 2021 09:41:49 -0500 2021-02-23T19:00:00-05:00 2021-02-23T20:30:00-05:00 Off Campus Location The Bioethics Discussion Group Lecture / Discussion Artificial Life
CCMB / DCMB Weekly Seminar (February 24, 2021 4:00pm) https://events.umich.edu/event/82197 82197-21052530@events.umich.edu Event Begins: Wednesday, February 24, 2021 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: COVID Moonshot is an international consortium aiming to discover patent-free oral antiviral against SARS-CoV-2, targeting the main protease. Operating under an open science ethos, we make all data and structures publicly available, and crowdsource molecule designs from the community. In less than a year, we went from fragment hits to nanomolar leads in biochemical and antiviral assays. In my talk, I will discuss Moonshot’s journey towards orally bioavailable, non-covalent, and non-peptidomimetic Mpro inhibitors. I will discuss how machine learning technologies have accelerated our design-make-test cycle, and the learnings we gleaned from this large-scale prospective use of algorithms.

Bio: Dr. Alpha Lee is a Group Leader in the Department of Physics, University of Cambridge. His research focuses on developing machine learning technologies that close the design-make-test cycle for small molecule drug discovery and materials discovery. He is interested in how physical and chemical insights can be integrated into the design of interpretable algorithms. Before joining Cambridge, Dr. Lee was a Fulbright Scholar at Harvard and obtained his PhD from the University of Oxford.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Wed, 17 Feb 2021 13:18:31 -0500 2021-02-24T16:00:00-05:00 2021-02-24T17:00:00-05:00 Off Campus Location DCMB Seminar Series Livestream / Virtual
Autonomous and Intelligent Cyber-Physical Systems and The Era of Big Data (February 25, 2021 1:00pm) https://events.umich.edu/event/81738 81738-20949394@events.umich.edu Event Begins: Thursday, February 25, 2021 1:00pm
Location: Off Campus Location
Organized By: Center for Connected and Automated Transportation

As society enters the era of Big Data, and intelligent Cyber-Physical Systems begins to embrace it, researchers will rely more on data to train controllers or validate them from repeated simulations.

This talk will describe autonomous and intelligent Cyber-Physical Systems (CPS), and how the availability of experimental testbeds has enabled discoveries applicable for societal-scale systems - one of which is the Cognitive and Autonomous Testbed Vehicle (CAT Vehicle). It has participated in several high-profile experiments regarding heterogeneous human-driven and semi-autonomous traffic flow. Dr. Sprinkle will detail ongoing efforts that explore how collaboration with researchers in application domain fields can dramatically expand available data sets. This also provides unique opportunities for exploring the security and privacy challenges that accompany societal-scale systems.
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About the speaker: Dr. Jonathan Sprinkle is the Litton Industries John M. Leonis Distinguished Associate Professor of Electrical and Computer Engineering at the University of Arizona and the Interim Director of the Transportation Research Institute. In 2020 he was named a Distinguished Scholar of the University of Arizona. From 2017-2019 he served as a Program Director in Cyber-Physical Systems and Smart & Connected Communities at the National Science Foundation in the CISE Directorate. In 2013 he received the NSF CAREER award, and in 2009, he received the UA's Ed and Joan Biggers Faculty Support Grant for work in autonomous systems. His work has an emphasis on industry impact, and he was recognized with the UA "Catapult Award" by Tech Launch Arizona in 2014, and in 2012 his team won the NSF I-Corps Best Team award. His research interests and experience are in model-based approaches to cyber-physical systems, and he teaches courses ranging from software modeling to mobile application development and software engineering.

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Lecture / Discussion Thu, 04 Feb 2021 10:43:23 -0500 2021-02-25T13:00:00-05:00 2021-02-25T14:00:00-05:00 Off Campus Location Center for Connected and Automated Transportation Lecture / Discussion Decorative Image
RNA Seminar featuring: Melissa Moore, Moderna Therapeutics (March 3, 2021 4:00pm) https://events.umich.edu/event/81265 81265-20879904@events.umich.edu Event Begins: Wednesday, March 3, 2021 4:00pm
Location: Off Campus Location
Organized By: Center for RNA Biomedicine

**Please register here for March 3rd seminar: https://umich.zoom.us/webinar/register/WN_l0kt_NjpRh-f33LJj7KGpA

Dr. Moore will address scientists and non-scientists, and will take live questions.

In her role as Chief Scientific Officer, Platform Research, Dr. Melissa Moore is responsible for leading mRNA biology, delivery and computation science research at Moderna. She joined Moderna in 2016 from the University of Massachusetts Medical School, where she served as Professor of Biochemistry & Molecular Pharmacology, Eleanor Eustis Farrington Chair in Cancer Research and a long-time Investigator at the Howard Hughes Medical Institute (HHMI). Dr. Moore was also a founding Co-Director of the RNA Therapeutics Institute (RTI) at UMassMed, and was instrumental in creating the Massachusetts Therapeutic and Entrepreneurship Realization initiative (MassTERi), a faculty-led program intended to facilitate the translation of UMMS discoveries into drugs, products, technologies and companies. Dr. Moore is an elected member of the National Academy of Sciences (2017) and a Fellow of the American Academy of Arts and Sciences (2019).

Dr. Moore holds a B.S. in Chemistry and Biology from the College of William and Mary, and a Ph.D. in Biological Chemistry from MIT, where she specialized in enzymology under Prof. Christopher T. Walsh. She began working on RNA metabolism during her postdoctoral training with Phillip A. Sharp at MIT. During her 23 years as a faculty member, first at Brandeis and then at UMassMed, her research encompassed a broad array of topics related to the roles of RNA and RNA-protein (RNP) complexes in gene expression, and touched on many human diseases including cancer, neurodegeneration, and preeclampsia.

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Lecture / Discussion Wed, 10 Feb 2021 19:47:49 -0500 2021-03-03T16:00:00-05:00 2021-03-03T17:00:00-05:00 Off Campus Location Center for RNA Biomedicine Lecture / Discussion Melissa Moore, Ph.D., Moderna Therapeutics
Professor Steven Cundiff, the Harrison M. Randall Collegiate Professorship in Physics, Inaugural Lecture (March 4, 2021 4:00pm) https://events.umich.edu/event/81662 81662-20941444@events.umich.edu Event Begins: Thursday, March 4, 2021 4:00pm
Location: Off Campus Location
Organized By: Institute of Electrical and Electronics Engineers

Just over 20 years ago, the demonstration of self-referenced optical frequency combs solved a long-standing problem of linking radio- and light-frequencies. This breakthrough allowed direct measurement of the frequency of light and enabled optical atomic clocks with exquisite precision. The development of dual-comb techniques led to a second wave of activity over the last ten years. Dual comb techniques enable rapid, high-resolution spectroscopy that can be used for applications such as atmospheric monitoring or breath analysis. I will explain what an optical frequency comb is, how they are generated and used, and present some of our recent work on them.

Please click the link below to join the webinar:
https://umich.zoom.us/j/96244808495
Or iPhone one-tap :
US: +13126266799,,96244808495# or +16468769923,,96244808495#
Or Telephone:
Dial(for higher quality, dial a number based on your current location):
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Webinar ID: 962 4480 8495
International numbers available: https://umich.zoom.us/u/adlbPeZ0l3

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Meeting ID: 962 4480 8495
SIP: 96244808495@zoomcrc.com

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Lecture / Discussion Tue, 02 Mar 2021 09:15:13 -0500 2021-03-04T16:00:00-05:00 2021-03-04T17:00:00-05:00 Off Campus Location Institute of Electrical and Electronics Engineers Lecture / Discussion Image
MIDAS Seminar Series and Michigan AI Initiative Co-Present: Heng Ji, University of Illinois Urbana Champaign (March 8, 2021 4:00pm) https://events.umich.edu/event/81082 81082-20846538@events.umich.edu Event Begins: Monday, March 8, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

To combat COVID-19, clinicians and scientists all need to digest the vast amount of relevant biomedical knowledge in literature to understand the disease mechanism and the related biological functions. The first challenge is quantity. For example, nearly 2.7K new papers are published at PubMed per day. This knowledge bottleneck causes significant delay in the development of vaccines and drugs for COVID-19. The second challenge is quality due to the rise and rapid, extensive publications of preprint manuscripts without pre-publication peer review. Many research results about coronavirus from different research labs and sources are redundant, complementary or event conflicting with each other.

Let’s consider drug repurposing as a case study. Besides the long process of clinical trial and biomedical experiments, another major cause for the long process is the complexity of the problem involved and the difficulty in drug discovery in general. The current clinical trials for drug re-purposing mainly rely on symptoms by considering drugs that can treat diseases with similar symptoms. However, there are too many drug candidates and too much misinformation published from multiple sources. In addition to a ranked list of drugs, clinicians and scientists also aim to gain new insights into the underlying molecular cellular mechanisms on Covid-19, and which pre-existing conditions may affect the mortality and severity of this disease.

To tackle these two challenges, we have developed a novel and comprehensive knowledge discovery framework, COVID-KG, to accelerate scientific discovery and build a bridge between clinicians and biology scientists. COVID-KG starts by reading existing papers to build multimedia knowledge graphs (KGs), in which nodes are entities/concepts and edges represent relations involving these entities, extracted from both text and images. Given the KGs enriched with path ranking and evidence mining, COVID-KG answers natural language questions effectively. Using drug repurposing as a case study, for 11 typical questions that human experts aim to explore, we integrate our techniques to generate a comprehensive report for each candidate drug. Preliminary assessment by expert clinicians and medical school students show our generated reports are informative and sound. I will also talk about our ongoing work to extend this framework to other domains including molecular synthesis and agriculture.

Bio:

Heng Ji is a professor at Computer Science Department, and an affiliated faculty member at Electrical and Computer Engineering Department of University of Illinois at Urbana-Champaign. She is also an Amazon Scholar. She received her B.A. and M. A. in Computational Linguistics from Tsinghua University, and her M.S. and Ph.D. in Computer Science from New York University. Her research interests focus on Natural Language Processing, especially on Multimedia Multilingual Information Extraction, Knowledge Base Population and Knowledge-driven Generation. She was selected as “Young Scientist” and a member of the Global Future Council on the Future of Computing by the World Economic Forum in 2016 and 2017. The awards she received include “AI’s 10 to Watch” Award by IEEE Intelligent Systems in 2013, NSF CAREER award in 2009, Google Research Award in 2009 and 2014, IBM Watson Faculty Award in 2012 and 2014 and Bosch Research Award in 2014-2018, and ACL2020 Best Demo Paper Award. She was invited by the Secretary of the U.S. Air Force and AFRL to join Air Force Data Analytics Expert Panel to inform the Air Force Strategy 2030. She is the lead of many multi-institution projects and tasks, including the U.S. ARL projects on information fusion and knowledge networks construction, DARPA DEFT Tinker Bell team and DARPA KAIROS RESIN team. She has coordinated the NIST TAC Knowledge Base Population task since 2010. She has served as the Program Committee Co-Chair of many conferences including NAACL-HLT2018. She is elected as the North American Chapter of the Association for Computational Linguistics (NAACL) secretary 2020-2021. Her research has been widely supported by the U.S. government agencies (DARPA, ARL, IARPA, NSF, AFRL, DHS) and industry (Amazon, Google, Bosch, IBM, Disney).

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Presentation Mon, 25 Jan 2021 17:32:08 -0500 2021-03-08T16:00:00-05:00 2021-03-08T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Presentation Heng Li
Motivation and Identity as Signals of Systemic Problems in Engineering Education (March 10, 2021 3:30pm) https://events.umich.edu/event/82513 82513-21114065@events.umich.edu Event Begins: Wednesday, March 10, 2021 3:30pm
Location: Off Campus Location
Organized By: Engineering Education Research

There is a well-documented history of systemic engineering education problems ranging from a persistently chilly climate to a burgeoning mental health crisis. Outcomes of these problems include but are not limited to increased attrition, decreased learning, and reduced engineering innovation resulting from a homogenous engineering population. While these measures provide concrete evidence of systemic problems, they do not provide clear targets for change or an early warning system of how systemic problems influence students before crucial decision points.

To address the limitations of existing engineering education outcome measures, measures of how students internalize engineering experiences are needed. Students' motivations for engineering tasks and identifications as engineers can fill this gap as they are contextually responsive and connected to educational outcomes such as deep learning, student retention, and task persistence. Additionally, students' educational experiences directly influence their motivations and identities.

Informed by specific theories of motivation and identity (future time perspective and engineering role identity, respectively), this presentation describes how students' motivations and identities are shaped by their engineering education experiences and shape engineering education cultures. Specifically, I will discuss the homogenization of undergraduates' motivations and identities; the connections between motivation and identity and experiences of discrimination and bias; and the identity and motivationally undermining experiences of engineering graduate students. I will conclude by discussing actionable steps to shift engineering education defaults to foster students' motivations and identities.

Biographical Sketch: Dr. Adam Kirn is an Associate Professor of Engineering Education in the Department of Electrical and Biomedical Engineering at the University of Nevada, Reno. His research focuses on the ways students' motivations and identities shape and are shaped by their engineering education experiences. The results of this work seek to implement evidence-based practices to create educational defaults that foster student success and thriving. Adam has a B.S. in Biomedical Engineering from Rose-Hulman Institute of Technology, an M.S. in Bioengineer, and a Ph.D. in Engineering and Science Education from Clemson University.

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Lecture / Discussion Thu, 25 Feb 2021 09:26:14 -0500 2021-03-10T15:30:00-05:00 2021-03-10T16:30:00-05:00 Off Campus Location Engineering Education Research Lecture / Discussion Dr. Adam Kirn
CCMB / DCMB Weekly Seminar Series (March 10, 2021 4:00pm) https://events.umich.edu/event/82479 82479-21108092@events.umich.edu Event Begins: Wednesday, March 10, 2021 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: Single-cell technologies have transformed biomedical research in the last few years. With single-cell sequencing, we can now simultaneously measure thousands of genomics features in a large number of cells, which provides an ultrahigh resolution phenotypic map for each individual. However, single-cell protocols are complex. Even with the most sensitive platforms, the data are often sparse and noisy. Recent development of single-cell multi-omics and spatial transcriptomics technologies further imposed additional challenges on data integration. In this talk, I will present several machine learning methods that my group recently developed for single-cell and spatial transcriptomics data analysis. I will discuss methods for simultaneous denoising, clustering and batch effect correction, single-cell multi-omics data integration, identification of spatially variable genes, generation of super-resolution gene expression, and inference of cell type distribution in spatial transcriptomics. I will illustrate our methods by showing results from ongoing collaborations on cardiometabolic disease and applications to brain and cancer data.
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Biography: Dr. Li’s research interests include statistical genetics and genomics, bioinformatics, and computational biology. The central theme of her current research is to use statistical and computational approaches to understand cellular heterogeneity in human-disease-relevant tissues, to characterize gene expression diversity across cell types, to study the patterns of cell state transition and crosstalk of various cells using data generated from single-cell and spatial transcriptomics studies, and to translate these findings to the clinics. In addition to methods development, Dr. Li is also interested in collaborating with researchers seeking to identify complex disease susceptibility genes and acting cell types. She is Director of Biostatistics for the Gene Therapy Program at Penn, where she advises biostatistics and bioinformatics analysis for various gene therapy studies. She is also Chair of the Graduate Program in Biostatistics. Dr. Li actively serves in the scientific community. She served as a regular member for the NIH Genomics, Computational Biology and Technology (GCAT) study section for 6 years, and the NHGRI Center for Inherited Disease Research (CIDR) for 3 years. She is an Associate Editor of Annals of Applied Statistics, Statistics in Biosciences, PLOS Computational Biology, and Human Genetics and Genomics Advances. She is an elected member of the International Statistical Institute and a Fellow of the American Statistical Association.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Wed, 24 Feb 2021 12:57:46 -0500 2021-03-10T16:00:00-05:00 2021-03-10T17:00:00-05:00 Off Campus Location DCMB Seminar Series Livestream / Virtual
T4SG Anti-Capitalist Computing talk with Nel Escher (March 15, 2021 6:00pm) https://events.umich.edu/event/82930 82930-21225227@events.umich.edu Event Begins: Monday, March 15, 2021 6:00pm
Location: Off Campus Location
Organized By: Tech for Social Good

Come to Tech for Social Good’s upcoming conversation with Nel Escher, a Ph.D. candidate in computer science & engineering at the university of Michigan, whose research is under Computational Law and STS (Science, Technology, and Society).

We will be discussing anti-capitalist computing- how technology could dismantle harmful systems of exploitation and imagine ways to empower those who have been abused by them. Join the event (with dinner) on Monday Mar 15th, 6 pm EST. Please RSVP here: http://tinyurl.com/t4sg-computing-rsvp. We’re serving food for the first 20 people that sign up!

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Livestream / Virtual Thu, 11 Mar 2021 09:51:00 -0500 2021-03-15T18:00:00-04:00 2021-03-15T19:00:00-04:00 Off Campus Location Tech for Social Good Livestream / Virtual The image is the poster for the event which includes the date: Monday, March 15th at 6 PM, the form to rsvp and to ask questions http://tinyurl.com/t4sg-computing-rsvp. the zoom link can be found at: http://tinyurl.com/t4sg-computing-nel
CCMB / DCMB Weekly Seminar Series featuring Sriram Chandrasekaran (Assistant Professor, Biomedical Engineering) (March 17, 2021 4:00pm) https://events.umich.edu/event/82825 82825-21179592@events.umich.edu Event Begins: Wednesday, March 17, 2021 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: Drug combinations have the potential to greatly expand our pharmacopeia while reducing both cost and drug resistance. Yet the current drug-discovery approach is unable to screen the astronomical number of possible combinations in different cell types and does not account for the complex environment inside the body. We have developed AI tools - INDIGO and MAGENTA - that predict the efficacy of drug combinations based on the properties of the drugs, the pathogen, and the infection environment. We are also using modeling to identify drugs that work in synergy with the host immune system. Using INDIGO and MAGENTA, we have identified highly synergistic combinations of repurposed drugs to treat drug resistant infections including Tuberculosis, the deadliest bacterial infection. INDIGO also accurately predicts the outcome of past clinical trials of drug combinations. Our ultimate goal is to create a personalized approach to treat infections using AI.
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Biography: Chandrasekaran received his bachelor’s degree in Biotechnology from Anna University in 2008, and a PhD in Biophysics from the University of Illinois at Urbana-Champaign in 2013. He worked at Harvard University and MIT as a Harvard Junior Fellow between 2013 and 2016 and became an Assistant Professor at UM in 2017. His lab develops systems biology algorithms for drug discovery. Computer models from his lab like INDIGO and MAGENTA are being used to design effective therapies against drug resistant pathogens. His lab also develops systems biology algorithms to understand metabolic regulation. The approaches that they have created (PROM, ASTRIX, DFA, EGEM and GEMINI) perform complementary functions in modeling of metabolic and regulatory networks. Chandrasekaran’s research has been published in Cell, Genome Biology, mBio, and PNAS. For his work, Chandrasekaran previously received the 2013 Harvard Junior Fellowship, the 2011 Howard Hughes Medical Institute (HHMI) International Predoctoral Fellowship, the 2014 William Milton Fund award, 2018 UM Precision Health Investigator Award, and the 2018 Distinguished Young Investigator Award from the AICHE COBRA society.


https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Fri, 05 Mar 2021 14:44:14 -0500 2021-03-17T16:00:00-04:00 2021-03-17T17:00:00-04:00 Off Campus Location DCMB Seminar Series Livestream / Virtual Sriram Chandrasekaran, PhD (Assistant Professor, Biomedical Engineering)
What Should Education Innovation at Michigan Medicine Be Known For? (March 18, 2021 12:00pm) https://events.umich.edu/event/82425 82425-21098206@events.umich.edu Event Begins: Thursday, March 18, 2021 12:00pm
Location: Off Campus Location
Organized By: RISE (Research. Innovation. Scholarship. Education.)

Please join us for our next Virtual Talking Circle on March 18 at 12:00 pm, where we will discuss how to construct a more cohesive direction for education innovation at our institution. What problems should we be focusing on? Where should we as an “innovation system” invest?

RISE will be working across our entire community to construct such a vision, a process suggested by previous Virtual Talking Circles, the RISE Advisory Council, and education leaders in the biomedical sciences, as well as undergraduate, graduate, and continuing medical education. A specific proposal will be presented for reflection and feedback by attendees, and we invite all of you to attend and provide input into this conversation.

Please also invite your colleagues who may be interested. See you then!

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Workshop / Seminar Tue, 23 Feb 2021 07:25:35 -0500 2021-03-18T12:00:00-04:00 2021-03-18T13:00:00-04:00 Off Campus Location RISE (Research. Innovation. Scholarship. Education.) Workshop / Seminar RISE Virtual Talking Circle
Project Management Certification (March 21, 2021 12:00pm) https://events.umich.edu/event/80730 80730-20779512@events.umich.edu Event Begins: Sunday, March 21, 2021 12:00pm
Location: Off Campus Location
Organized By: Tauber Institute for Global Operations

Once again, the Tauber Institute, in conjunction with the International Project Management Association (IPMA), is sponsoring a Project Management certification class and exam for graduate business and engineering students and staff.

In order to participate, you will need to reflect upon a project management experience (for example: a work project, an engineering design experience/senior capstone, Ross' MAP project, Tauber team project, etc). If you cannot make it to the classes (due to project travel, MAP, or other another class), the sessions will be recorded. Homework (mastery verification) will be required after each session.

The cost to an individual to take the exam is normally $595, however, Tauber is offering the exam at a substantial discount to non-Tauber students:
$500 for U-M alumni or public
$400 for U-M students, U-M employees, or Tauber alumni
$200 for Tauber Institute students

Certification is valid for 5 years. Three certification classes will be taught by Professor Eric Svaan on the following dates:

Sunday, March 21 (noon - 4:30 pm)
Sunday, March 28 (noon - 4:30 pm)
Sunday, April 18 (noon - 4:30 pm)

The certification exam, administered by IPMA-USA is scheduled for May 12, 2021 (11:00 am) virtually. Successfully passing the exam will yield IPMA's Level D certification (Certified Project Management Associate).

Since 2013, all students who have taken the exam have passed!

Project Management is a powerful skill set to have in your toolbox as you look for full-time employment!

REGISTRATION: Please register through iMpact by clicking here:
https://www.bus.umich.edu/Conferences/Project-Management-Certification-2021/Default.aspx

NOTE: The non-refundable fees:
$500 for non-Tauber students, U-M alumni, or public
$400 for U-M students, U-M employees, or Tauber alumni
$200 for Tauber Institute students

HOSTED BY: Tauber Institute for Global Operations. For questions about this event, please contact tauberinstitute@umich.edu or visit tauber.umich.edu.

What is IPMA Level D® (Certified Project Management Associate)? The IPMA Level D is an internationally recognized entry-level qualification in the area of project management. This designation, which demonstrates the individual's ability to understand the basics of project management, is similar to the exam-oriented, knowledge-based certifications of other major Project Management associations. For many, Level D® is the first step towards a professional project or program manager role. It is the first step in a sequence (C, B and A) to be earned by demonstration of success in larger PM responsibility sets.

For more information,
Visit tauber.umich.edu or call 734-647-1333
Connect via email to Diana Crossley dianak@umich.edu

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Class / Instruction Tue, 19 Jan 2021 12:27:23 -0500 2021-03-21T12:00:00-04:00 2021-03-21T16:30:00-04:00 Off Campus Location Tauber Institute for Global Operations Class / Instruction Certificate photo
MIDAS Seminar Series and Michigan AI Initiative Co-Present: Mona Diab, Computer Science, George Washington University (March 22, 2021 4:00pm) https://events.umich.edu/event/81039 81039-20838681@events.umich.edu Event Begins: Monday, March 22, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Advances in machine learning have led to quite fluent natural language generation technologies. Most of our current optimizations and evaluations focus on accuracy in output. Faithful generation is considered a nice to have, a luxury. In this talk I make the argument that faithful generation is crucial to our generation technologies especially given the scale and impact NLP technologies have on people’s lives.

Mona Diab is a Full Professor of Computer Science at the George Washington University where she directs the Care4Lang NLP lab. She is also Research Scientist with Facebook AI. She conducts research in Statistical Natural Language Processing (NLP) is a rapidly growing, exciting field of research in artificial intelligence and computer science. Interdisciplinarity is inherent to NLP, drawing on the fields of computer algorithms, software engineering, statistics, machine learning, linguistics, pragmatics, information technology, etc. In NLP, researchers model language and its use, and build both analytical models and predictive ones. In Professor Diab’s NLP lab, they address problems in social media processing, building robust enabling technologies such as syntactic and semantic processing tools for written texts in different languages, information extraction tools for large data, multilingual processing, machine translation, and computational sociolinguistic processing. Professor Diab has a special interest in Arabic NLP, where the emphasis has been on investigating Arabic dialect processing where there are very few available automated resources.

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Presentation Tue, 09 Feb 2021 11:13:10 -0500 2021-03-22T16:00:00-04:00 2021-03-22T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation Mona Diab
Todd Barber on the Curiosity Rover (March 23, 2021 8:00pm) https://events.umich.edu/event/83025 83025-21253076@events.umich.edu Event Begins: Tuesday, March 23, 2021 8:00pm
Location: Off Campus Location
Organized By: American Institute of Aeronautics and Astronautics

Curiosity's mission to the red planet will be covered in detail by Todd Barber, a graduate of MIT and recipient of NASA's exceptional achievement award. Topics to be discussed include the history of Mars rovers at JPL, the scientific motivation for Curiosity, and the preparations for launch two days after Thanksgiving in 2011.

The science suite on board this one-ton mega rover will be presented, as well as the engineering challenges involved in getting Curiosity to the launch pad, traveling 352 million miles to Mars over 8.5 months, and ‘sticking the landing’ following the so-called ‘seven minutes of terror’ on August 5th, 2012.

Please join AIAA virtually for this event with an amazing speaker!

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Lecture / Discussion Sun, 14 Mar 2021 21:43:32 -0400 2021-03-23T20:00:00-04:00 2021-03-23T21:15:00-04:00 Off Campus Location American Institute of Aeronautics and Astronautics Lecture / Discussion Flyer
Community Cultural Wealth, Program Evaluation, and ASEE CDEI, Oh My! (March 24, 2021 3:30pm) https://events.umich.edu/event/83003 83003-21235293@events.umich.edu Event Begins: Wednesday, March 24, 2021 3:30pm
Location: Off Campus Location
Organized By: Engineering Education Research

As a sociologist who has been working in STEM and Engineering Education for 18 years, and who isn’t on the tenure track, Liz will share a little bit about a few different areas (Research, Evaluation, and Service) that she has focused on in her career.  Assets-based frameworks for understanding student experience are receiving more and more visibility these days and Liz’s work has used critical race theory Community Cultural Wealth (Samuelson & Litzler, JEE 2016) to understand the ways minoritized engineering undergraduates deployed their cultural assets to persist in engineering. She is also now working on further Community Cultural Wealth research with her colleagues on the PNW-LSAMP project.  She will also talk about using her social science research skills to conduct high quality program evaluation of projects focused on improving DEI in STEM.  Finally, she’ll share about the work of the ASEE Commission on Diversity, Equity, and Inclusion, of which she is the current chair. CDEI is a great resource for the community and also a wonderful opportunity to develop new connections with colleagues while providing important service to the engineering education field.

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Lecture / Discussion Fri, 12 Mar 2021 14:42:39 -0500 2021-03-24T15:30:00-04:00 2021-03-24T16:30:00-04:00 Off Campus Location Engineering Education Research Lecture / Discussion Dr. Elizabeth Litzler
CCMB / DCMB Weekly Seminar Series Featuring Duncan K. Ralph (Fred Hutchinson Cancer Research Center) (March 24, 2021 4:00pm) https://events.umich.edu/event/82733 82733-21169592@events.umich.edu Event Begins: Wednesday, March 24, 2021 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: Antibodies are an integral part of the adaptive immune response, and are a critical component of both vaccine-induced and naturally-acquired immunity. The development of deep sequencing approaches in recent years has allowed us to sample a significant fraction of the diverse repertoire of B cell receptor sequences from which antibodies are made. These sequences encode a wealth of information on the somatic rearrangement and evolutionary processes that determine the contours of our antibody repertoires, and thus our ability to respond appropriately to pathogens and vaccines. Extracting this information, however, requires a careful inference approach across several different analysis steps. I will describe the computational approaches that we have taken to solving these problems, which constitute the partis software package, and describe their application in several projects, including HIV and Dengue data.

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Biography: Duncan attended the University of California at Santa Cruz for his undergraduate studies in physics, completing his thesis on energy transport in condensed matter theory in 2005. He completed his PhD at the Massachusetts Institute of Technology in 2014, working on the Large Hadron Collider at the European particle physics laboratory (CERN). His thesis described the observation of Higgs boson decays to four leptons. Since 2014, he has worked in Frederick Matsen’s lab at the Fred Hutchinson Cancer Research Center, first as a postdoctoral researcher and more recently as a staff scientist, writing new computational methods for the analysis of B cell receptor deep sequencing data.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Thu, 04 Mar 2021 11:20:24 -0500 2021-03-24T16:00:00-04:00 2021-03-24T17:00:00-04:00 Off Campus Location DCMB Seminar Series Livestream / Virtual
5th Annual RNA Symposium, "Processing RNA" (March 25, 2021 11:00am) https://events.umich.edu/event/80161 80161-20572609@events.umich.edu Event Begins: Thursday, March 25, 2021 11:00am
Location: Off Campus Location
Organized By: Center for RNA Biomedicine

FOR MORE DETAILS & ABSTRACTS VISIT: https://rna.umich.edu/2021-symposium/

Thursday, March 25, 2021
11:00 / Welcome
11:05 / KEYNOTE 1: Tracy Johnson, UCLA, “RNA Splicing, Chromatin Modification, and the Coordinated Control of Gene expression”
12:00 / Short break
12:10 / KEYNOTE 2: Kevin Weeks, UNC, “Structure-Based Discovery of New Functions in Large RNAs”
1:05 / Data Blitz: Cathy Smith, Daniel Peltier, Yan Zhang
1:35 / KEYNOTE 3: Feng Zhang, MIT, “Exploration of Biological Diversity to Discover Novel Molecular Technologies”
2:30 / Close Day 1

Friday, March 26, 2021
11:00 / Welcome
11:05 / KEYNOTE 4: Brenda Bass, University of Utah, “Distinguishing self and non-self dsRNA in vertebrates and invertebrates”
12:00 / Short break
12:10 / KEYNOTE 5: Christopher Lima, Sloan-Kettering Institute, “Mechanisms that target RNA for destruction”
1:05 / Data Blitz: Meredith Purchal, Adrien Chauvier, Shannon Wright
1:35 / Panel discussion with keynote speakers
2:30 / Close Day 2

Liveblogging by MiSciWriters! https://misciwriters.com/

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Lecture / Discussion Tue, 23 Mar 2021 15:03:26 -0400 2021-03-25T11:00:00-04:00 2021-03-25T14:30:00-04:00 Off Campus Location Center for RNA Biomedicine Lecture / Discussion 5th Annual RNA Symposium
5th Annual RNA Symposium, "Processing RNA" (March 26, 2021 11:00am) https://events.umich.edu/event/80161 80161-20572610@events.umich.edu Event Begins: Friday, March 26, 2021 11:00am
Location: Off Campus Location
Organized By: Center for RNA Biomedicine

FOR MORE DETAILS & ABSTRACTS VISIT: https://rna.umich.edu/2021-symposium/

Thursday, March 25, 2021
11:00 / Welcome
11:05 / KEYNOTE 1: Tracy Johnson, UCLA, “RNA Splicing, Chromatin Modification, and the Coordinated Control of Gene expression”
12:00 / Short break
12:10 / KEYNOTE 2: Kevin Weeks, UNC, “Structure-Based Discovery of New Functions in Large RNAs”
1:05 / Data Blitz: Cathy Smith, Daniel Peltier, Yan Zhang
1:35 / KEYNOTE 3: Feng Zhang, MIT, “Exploration of Biological Diversity to Discover Novel Molecular Technologies”
2:30 / Close Day 1

Friday, March 26, 2021
11:00 / Welcome
11:05 / KEYNOTE 4: Brenda Bass, University of Utah, “Distinguishing self and non-self dsRNA in vertebrates and invertebrates”
12:00 / Short break
12:10 / KEYNOTE 5: Christopher Lima, Sloan-Kettering Institute, “Mechanisms that target RNA for destruction”
1:05 / Data Blitz: Meredith Purchal, Adrien Chauvier, Shannon Wright
1:35 / Panel discussion with keynote speakers
2:30 / Close Day 2

Liveblogging by MiSciWriters! https://misciwriters.com/

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Lecture / Discussion Tue, 23 Mar 2021 15:03:26 -0400 2021-03-26T11:00:00-04:00 2021-03-26T14:30:00-04:00 Off Campus Location Center for RNA Biomedicine Lecture / Discussion 5th Annual RNA Symposium
Robotic Manipulation under Transparency and Translucency from Light-field Sensing (March 31, 2021 1:00pm) https://events.umich.edu/event/83269 83269-21328379@events.umich.edu Event Begins: Wednesday, March 31, 2021 1:00pm
Location: Off Campus Location
Organized By: Michigan Robotics

From frosted windows to plastic containers to refractive fluids, transparency and translucency are prevalent in human environments. The material properties of translucent objects challenge many of our assumptions in robotic perception. For example, the most common RGB-D sensors in robotic applications require the sensing of an infrared structured pattern from a Lambertian reflectance of surfaces. As such, transparent and translucent objects often remain invisible to robot perception. Thus, introducing methods that would enable robots to correctly perceive and then interact with the environment would be highly beneficial. Light-field (or plenoptic) cameras, for instance, which carry light direction and intensity, make it possible to perceive visual clues on object surfaces from reflection and refraction. In this dissertation, we explore the inference of transparent and translucent objects from plenoptic observations for robotic perception and manipulation. We propose a novel plenoptic descriptor, Depth Likelihood Volume (DLV), that incorporates multi-view plenoptic observations to represent depth. The depth of a pixel is then represented as a distribution rather than a single value. Through the DLV distribution, we can infer the layered translucency structure of the scene with transparent and translucent objects for robot manipulation tasks. Building on the DLV, we present the Plenoptic Monte Carlo Localization algorithm, PMCL, as a generative method to infer 6-DoF poses of objects in settings with translucency. PMCL is able to localize both isolated transparent objects and opaque objects behind translucent objects using a previously computed DLV. We evaluate PMCL by comparing x estimated poses against ground-truth poses and demonstrate the use of these pose estimates for object pick and place tasks. The uncertainty induced by transparency and translucency for pose estimation increases greatly as scenes become more cluttered. However, robot grasping does not necessarily require estimation of 6-DoF object poses. Given multi-view plenoptic observations, we propose GlassLoc to localize feasible grasp poses over a pile of transparent objects. In GlassLoc, a convolutional neural network is introduced to learn DLV features for classifying grasp poses with grasping confidence. GlassLoc also suppresses the reflectance by checking pixel consistency over multi-view plenoptic observations, which leads to more stable DLV representation. We evaluate GlassLoc in the context of a pick-and-place task for transparent tableware in a cluttered tabletop environment. We further observe that the transparent and translucent objects will generate distinguishable features in the light-field epipolar image plane, which provides information about the object location. With this insight, we propose Light-field Inference of Transparency, LIT, as a two-stage generative-discriminative refractive object localization approach. In the discriminative stage, LIT uses convolutional neural networks to learn reflection and distortion features from photorealistic-rendered light-field images. The learned features guide generative object location inference through local depth estimation and particle optimization. With the LIT pipeline, we also create the light-field dataset for the task of transparent objects recognition, segmentation, and pose estimation. We compare LIT with three state-of-the-art pose estimators to show our efficacy in the transparent object localization task. We also perform a robot demonstration by picking champagne cups up from a textureless table and building a champagne tower using the LIT pipeline.

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Livestream / Virtual Wed, 24 Mar 2021 10:48:06 -0400 2021-03-31T13:00:00-04:00 2021-03-31T15:00:00-04:00 Off Campus Location Michigan Robotics Livestream / Virtual Robot holds a champagne glass
CCMB / DCMB Weekly Seminar (March 31, 2021 4:00pm) https://events.umich.edu/event/83395 83395-21369780@events.umich.edu Event Begins: Wednesday, March 31, 2021 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract:

Large, deeply phenotyped cohorts are reshaping the world of environmental epidemiology. Two such “big data” resources that are reshaping how we understand environmental health are electronic health records and human cohorts with genome-wide molecular phenotyping. Each provides a unique perspective that is moving the field closer towards “personalized” insights into environmental health risks. Here I will talk about a series of studies which utilize electronic health records and molecularly phenotyped cohorts to investigate vulnerable populations, gene-environment interactions, and epigenetic biomarkers of environmental sensitivity. Together these studies are helping us to understand environmental health risks in a new light.

Short bio:

Dr. Cavin Ward-Caviness is a Principal Investigator in the Public Health and Integrated Toxicology Division of the US Environmental Protection Agency. With a background in computational biology and environmental epidemiology, Dr. Ward-Caviness seeks to understand the environmental factors which influence health in vulnerable populations and the molecular mechanisms that influence environmental health risks. The Ward-Caviness lab uses a variety of “big data” approaches, and Dr. Ward-Caviness is the PI of the EPA CARES research resource, which allows researchers to study environmental health effects in vulnerable patient populations, e.g. individuals with heart failure, using large electronic health record databases. Dr. Ward-Caviness is also interested in how epigenetics and metabolomics can serve as an early indicator of adverse health effects from chemical and social environmental exposures and in particular how molecular biomarkers can give us insight into how the environment may accelerate the aging process and thus contribute to chronic disease. By integrating molecular and clinical data, Dr. Ward-Caviness seeks to understand environmental health as a way to advance personalized medicine and reduce health disparities.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Mon, 29 Mar 2021 15:15:11 -0400 2021-03-31T16:00:00-04:00 2021-03-31T17:00:00-04:00 Off Campus Location DCMB Seminar Series Livestream / Virtual
MIDAS Webinar Series Presents: Vipin Kumar, University of Minnesota (April 5, 2021 4:00pm) https://events.umich.edu/event/81083 81083-20846543@events.umich.edu Event Begins: Monday, April 5, 2021 4:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Bio:

Vipin Kumar is a Regents Professor at the University of Minnesota, where he holds the William Norris Endowed Chair in the Department of Computer Science and Engineering. Kumar received the B.E. degree in Electronics & Communication Engineering from Indian Institute of Technology Roorkee (formerly, University of Roorkee), India, in 1977, the M.E. degree in Electronics Engineering from Philips International Institute, Eindhoven, Netherlands, in 1979, and the Ph.D. degree in Computer Science from University of Maryland, College Park, in 1982. He also served as the Head of the Computer Science and Engineering Department from 2005 to 2015 and the Director of Army High Performance Computing Research Center (AHPCRC) from 1998 to 2005.

Kumar’s current research interests span data mining, high-performance computing, and their applications in Climate/Ecosystems and health care. His research has resulted in the development of the concept of isoefficiency metric for evaluating the scalability of parallel algorithms, as well as highly efficient parallel algorithms and software for sparse matrix factorization (PSPASES) and graph partitioning (METIS, ParMetis, hMetis). He has authored over 300 research articles, and has coedited or coauthored 10 books including two text books “Introduction to Parallel Computing” and “Introduction to Data Mining”, that are used world-wide and have been translated into many languages. Kumar’s current major research focus is on bringing the power of big data and machine learning to understand the impact of human induced changes on the Earth and its environment. Kumar served as the Lead PI of a 5-year, $10 Million project,”Understanding Climate Change – A Data Driven Approach”, funded by the NSF’s Expeditions in Computing program that is aimed at pushing the boundaries of computer science research.

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Presentation Fri, 22 Jan 2021 10:38:20 -0500 2021-04-05T16:00:00-04:00 2021-04-05T17:00:00-04:00 Off Campus Location Michigan Institute for Data Science Presentation Vipin Kumar
Bioethics Discussion: Virtual Reality (April 6, 2021 7:00pm) https://events.umich.edu/event/58840 58840-14563732@events.umich.edu Event Begins: Tuesday, April 6, 2021 7:00pm
Location: Lurie Biomedical Engineering
Organized By: The Bioethics Discussion Group

A discussion like any other?

Join us at: https://umich.zoom.us/j/99926126455.

A few reading to consider:
––Internet-Delivered Health Interventions That Work: Systematic Review of Meta-Analyses and Evaluation of Website Availability
––Ethics of Virtual Reality in Medical Education and Licensure
––Wearables and the medical revolution
––Creating Bioethics Distance Learning Through Virtual Reality

For more information and/or to receive a copy of the readings visit http://belmont.bme.umich.edu/bioethics-discussion-group/discussions/059-virtual-reality/.

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A decently maintained virtual reality may be found on the blog: https://belmont.bme.umich.edu/incidental-art/

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Lecture / Discussion Fri, 08 Jan 2021 09:39:24 -0500 2021-04-06T19:00:00-04:00 2021-04-06T20:30:00-04:00 Lurie Biomedical Engineering The Bioethics Discussion Group Lecture / Discussion Virtual Reality
CCMB / DCMB Weekly Seminar Series (April 7, 2021 4:00pm) https://events.umich.edu/event/83241 83241-21320453@events.umich.edu Event Begins: Wednesday, April 7, 2021 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract: More than 3,000 new Marine recruits were studied prospectively during their initial Marine-mandated two-week quarantine and their subsequent basic training at Parris Island. The COVID Health Action Response for Marines (CHARM) studied completed 20,000 study visits and obtained more than 70,000 biosamples including pre- to post- SARS-CoV-2 infections in more than 1000 recruits. Serological, transcriptomic, and epigenetic analyses identify the response signature to SARS-CoV-2 infection in these largely asymptomatic young adults. Phylogenetic analysis and modeling provide insight into epidemiology and guidance for public health measures.

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Specialty: Neurology

Research Topics: Addiction, Apoptosis/Cell Death, Basal Ganglia, Bioinformatics, Brain, Cellular Immunity, Cerebral Cortex, Mathematical and Computational Biology, Multiple Sclerosis, Neuro-degeneration/protection, Receptors, Reproductive Biology, Signal Transduction, Theoretical Biology, Vaccine Development, Viruses and Virology

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Tue, 23 Mar 2021 11:23:58 -0400 2021-04-07T16:00:00-04:00 2021-04-07T17:00:00-04:00 Off Campus Location DCMB Seminar Series Livestream / Virtual
2021 CCAT Global Symposium on Connected and Automated Vehicles and Infrastructure (April 12, 2021 9:00am) https://events.umich.edu/event/80911 80911-20818987@events.umich.edu Event Begins: Monday, April 12, 2021 9:00am
Location: Off Campus Location
Organized By: Center for Connected and Automated Transportation

The CCAT Global Symposium on Connected and Automated Vehicles and Infrastructure is an annual event featuring leaders in the transportation and mobility sector from across the globe. The 4th Annual Symposium will feature panels covering the FCC reallocation of the 5.9GHz spectrum, transportation equity, mobility-as-a-service (MaaS) and mobility-on-demand (MoD), and much more! A second track will also be offered that will provide findings from recently-completed CCAT research.

New for 2021: The 2021 Global Symposium will be returning to the two-day, two-track format while remaining entirely virtual. Expect all of the excitement of an in-person conference from the comfort of your home. A new and improved version of the Student Poster Competition will also be offered. The virtual setting will provide attendees with plenty of time to speak with budding researchers about their work. The first 195 people to register have an opportunity to have unique, CCAT swag delivered to them ahead of the event (U.S. residents only).

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Livestream / Virtual Thu, 21 Jan 2021 11:31:16 -0500 2021-04-12T09:00:00-04:00 2021-04-12T16:00:00-04:00 Off Campus Location Center for Connected and Automated Transportation Livestream / Virtual Decorative Image
2021 CCAT Global Symposium on Connected and Automated Vehicles and Infrastructure (April 13, 2021 9:00am) https://events.umich.edu/event/80911 80911-20818988@events.umich.edu Event Begins: Tuesday, April 13, 2021 9:00am
Location: Off Campus Location
Organized By: Center for Connected and Automated Transportation

The CCAT Global Symposium on Connected and Automated Vehicles and Infrastructure is an annual event featuring leaders in the transportation and mobility sector from across the globe. The 4th Annual Symposium will feature panels covering the FCC reallocation of the 5.9GHz spectrum, transportation equity, mobility-as-a-service (MaaS) and mobility-on-demand (MoD), and much more! A second track will also be offered that will provide findings from recently-completed CCAT research.

New for 2021: The 2021 Global Symposium will be returning to the two-day, two-track format while remaining entirely virtual. Expect all of the excitement of an in-person conference from the comfort of your home. A new and improved version of the Student Poster Competition will also be offered. The virtual setting will provide attendees with plenty of time to speak with budding researchers about their work. The first 195 people to register have an opportunity to have unique, CCAT swag delivered to them ahead of the event (U.S. residents only).

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Livestream / Virtual Thu, 21 Jan 2021 11:31:16 -0500 2021-04-13T09:00:00-04:00 2021-04-13T16:00:00-04:00 Off Campus Location Center for Connected and Automated Transportation Livestream / Virtual Decorative Image
Can Education Innovation at Michigan Medicine Benefit from Being More Cohesive? (April 14, 2021 12:00pm) https://events.umich.edu/event/83220 83220-21314487@events.umich.edu Event Begins: Wednesday, April 14, 2021 12:00pm
Location: Off Campus Location
Organized By: RISE (Research. Innovation. Scholarship. Education.)

RISE invites you attend the Virtual Talking Circle (VTC) to contribute your input in co-creating a cohesive pathway for education innovation across health science education at Michigan Medicine.  We invite you to attend and provide your input into this conversation.

Please invite your colleagues who may also be interested. See you then!

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Workshop / Seminar Wed, 24 Mar 2021 14:31:47 -0400 2021-04-14T12:00:00-04:00 2021-04-14T13:00:00-04:00 Off Campus Location RISE (Research. Innovation. Scholarship. Education.) Workshop / Seminar RISE Virtual Talking Circle
Assessing the Progress of Diversity, Equity, and Inclusion Initiatives in the College of Engineering: Student Perceptions of the Climate at the University of Michigan (April 14, 2021 3:30pm) https://events.umich.edu/event/83292 83292-21367800@events.umich.edu Event Begins: Wednesday, April 14, 2021 3:30pm
Location: Off Campus Location
Organized By: Engineering Education Research

The University of Michigan College of Engineering is nearing the end of its five-year strategic plan to improve the climate on campus with regards to Diversity, Equity, and Inclusion (DEI). As part of that plan, focus groups were held with students across every department and program in the College of Engineering, to gather qualitative data that can serve as metrics to consider how the DEI strategic plan is progressing. Over thirty focus groups were held with more than 220 undergraduate and graduate students across the College in the 2019-2020 and 2020-2021 academic years. Students were asked about various elements of their perception of DEI, including factors that impacted their sense of inclusion, if they had been treated differently based on their identity, and their perceptions of the College and their department with regards to diversity. The data collected in these focus groups illuminates the nuance and complexity of the engineering student experience, and how that experience, and their perceptions of DEI in the College, can vary based on their identities and home department.

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Lecture / Discussion Mon, 29 Mar 2021 10:00:26 -0400 2021-04-14T15:30:00-04:00 2021-04-14T16:30:00-04:00 Off Campus Location Engineering Education Research Lecture / Discussion Dr. Laura Hirshfield
CCMB / DCMB Weekly Seminar (April 14, 2021 4:00pm) https://events.umich.edu/event/83595 83595-21436485@events.umich.edu Event Begins: Wednesday, April 14, 2021 4:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract:
My lab's research involves the development and application of systems biology approaches—combining computation, machine learning, quantitative modeling, and experiments—to study the immune system in health and disease. Recent technological and computational advances allow comprehensive interrogation of multiple modalities (e.g., proteins, mRNAs, immune receptor sequences) in single cell resolution in the human population. Here I will highlight our work in the analysis human and single cell variations along the axes of early immune development, vaccination, and COVID-19. If time permits, I will also discuss the integration of tissue imaging, machine learning, and multiscale dynamical modeling of immune cell interactions to investigate the homeostatic regulation of autoreactive T cells.

* * *

Biography: Dr. Tsang is a senior investigator in the NIH Intramural Research Program and leads a laboratory focusing on systems and quantitative immunology at the National Institute of Allergy and Infectious Diseases (NIAID). He also co-directs the Trans-NIH Center for Human Immunology (CHI) and leads its research program in systems human immunology. Dr. Tsang trained in computer engineering and computer science at the University of Waterloo and received his Ph.D. in biophysics from Harvard University. Dr. Tsang has worked as a software engineer and pursued systems biology research in both academia and industry including Rosetta Inpharmatics, Caprion Proteomics, MIT, and Merck Research Laboratories. Dr. Tsang has won several awards for his research, including NIAID Merit Awards for the development of a data reuse and crowdsourcing platform OMiCC and for leading a system biology study of human immune variability and influenza vaccination, which was selected as a top NIAID Research Advances of 2014. He currently serves as the founding chief editor of systems immunology for Frontiers in Immunology. He has served as a scientific advisor for a number of programs and organizations including ImmPort (the clinical and molecular data repository for NIAID), the Committee on Precision Medicine for the World Allergy Organization, the NIAID Modeling Immunity for Biodefense Program, the Allen Institute, the Immuno-Epidemiology Program at the National Cancer Institute, and the Human Vaccines Project.

https://umich-health.zoom.us/j/93929606089?pwd=SHh6R1FOQm8xMThRemdxTEFMWWpVdz09

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Livestream / Virtual Wed, 07 Apr 2021 08:59:05 -0400 2021-04-14T16:00:00-04:00 2021-04-14T17:00:00-04:00 Off Campus Location DCMB Seminar Series Livestream / Virtual
Coded Bias "At the Movies" Panel Discussion (April 15, 2021 4:00pm) https://events.umich.edu/event/83580 83580-21430624@events.umich.edu Event Begins: Thursday, April 15, 2021 4:00pm
Location: Off Campus Location
Organized By: Information Assurance

Join a panel of U-M experts over Zoom for an "At the Movies" style discussion of the film Coded Bias. The panelists will exchange views on the challenges presented by technologies that reflect the systemic biases in American society. Panelists include:
- Nazanin Andalibi, assistant professor of information, School of Information; assistant professor of Digital Studies Institute, College of Literature, Science, and the Arts (LSA)
- Mingyan Liu, Peter and Evelyn Fuss Chair of Electrical and Computer Engineering, Electrical Engineering and Computer Science (EECS)
- Nicholson Price, professor of law, Law School
- Grace Trinidad (moderator), Ethics, Legal, and Social Implications (ELSI) postdoctoral fellow, School of Public Health

AVAILABLE PRIOR TO THE DISCUSSION
To be better informed prior to the Coded Bias panel discussion, be sure to take time to watch a free screening of the film between April 8 and April 14. More information is available at https://safecomputing.umich.edu/events/dissonance/coded-bias-free-movie-viewing

Access to Coded Bias and the panel discussion are brought to you by the Dissonance Event Series, ITS Information Assurance, the U-M School of Information, and the Law School’s Privacy and Technology Law Association.

Add the panel discussion to your Google Calendar: https://calendar.google.com/calendar/u/0/r/eventedit/copy/MWZjMnFtNmw0MzN2MDk0cmRyaHQ4b3VpMTggdW1pY2guZWR1X2ZkczI0Z2V2cGE0MnY5NTc2bG5wZTJjbWxrQGc

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Lecture / Discussion Fri, 09 Apr 2021 14:43:13 -0400 2021-04-15T16:00:00-04:00 2021-04-15T17:00:00-04:00 Off Campus Location Information Assurance Lecture / Discussion Dissonance Event Series: Panel Discussion on the film Coded Bias
Great Lakes Security Conference / CTF (April 16, 2021 12:00pm) https://events.umich.edu/event/83749 83749-21485474@events.umich.edu Event Begins: Friday, April 16, 2021 12:00pm
Location: Off Campus Location
Organized By: WolvSec

The Great Lakes Security Conference is brought to you by student ran organizations from Michigan Technological University and The University of Michigan. We are proud to be hosting a fully virtual event that includes talks from various industry professionals, alongside a CTF that you can sign up for and compete in for various prizes.

Speakers include; Cindy Cohn the Executive Director of the Electronic Frontier Foundation, Jeff Bar Vice President & Chief Evangelist at Amazon Web Services, Steve Booth Chief Security Officer of FireEye, our Professor Daniel Genkin, and about a dozen more speakers. You can find out more at https://glsc.tech/

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Conference / Symposium Tue, 13 Apr 2021 15:20:32 -0400 2021-04-16T12:00:00-04:00 2021-04-16T19:00:00-04:00 Off Campus Location WolvSec Conference / Symposium Event Logo
Great Lakes Security Conference / CTF (April 17, 2021 12:00pm) https://events.umich.edu/event/83749 83749-21485475@events.umich.edu Event Begins: Saturday, April 17, 2021 12:00pm
Location: Off Campus Location
Organized By: WolvSec

The Great Lakes Security Conference is brought to you by student ran organizations from Michigan Technological University and The University of Michigan. We are proud to be hosting a fully virtual event that includes talks from various industry professionals, alongside a CTF that you can sign up for and compete in for various prizes.

Speakers include; Cindy Cohn the Executive Director of the Electronic Frontier Foundation, Jeff Bar Vice President & Chief Evangelist at Amazon Web Services, Steve Booth Chief Security Officer of FireEye, our Professor Daniel Genkin, and about a dozen more speakers. You can find out more at https://glsc.tech/

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Conference / Symposium Tue, 13 Apr 2021 15:20:32 -0400 2021-04-17T12:00:00-04:00 2021-04-17T19:00:00-04:00 Off Campus Location WolvSec Conference / Symposium Event Logo
Great Lakes Security Conference / CTF (April 18, 2021 12:00pm) https://events.umich.edu/event/83749 83749-21485476@events.umich.edu Event Begins: Sunday, April 18, 2021 12:00pm
Location: Off Campus Location
Organized By: WolvSec

The Great Lakes Security Conference is brought to you by student ran organizations from Michigan Technological University and The University of Michigan. We are proud to be hosting a fully virtual event that includes talks from various industry professionals, alongside a CTF that you can sign up for and compete in for various prizes.

Speakers include; Cindy Cohn the Executive Director of the Electronic Frontier Foundation, Jeff Bar Vice President & Chief Evangelist at Amazon Web Services, Steve Booth Chief Security Officer of FireEye, our Professor Daniel Genkin, and about a dozen more speakers. You can find out more at https://glsc.tech/

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Conference / Symposium Tue, 13 Apr 2021 15:20:32 -0400 2021-04-18T12:00:00-04:00 2021-04-18T19:00:00-04:00 Off Campus Location WolvSec Conference / Symposium Event Logo
Student-Made Video Games Virtual Showcase (April 21, 2021 6:45pm) https://events.umich.edu/event/83460 83460-21381639@events.umich.edu Event Begins: Wednesday, April 21, 2021 6:45pm
Location: Off Campus Location
Organized By: EECS 494: Introduction to Game Development

Experience 20+ new student-made video games at the EECS 494 + EMU Games Virtual Showcase! Interact with the developers, learn more about Michigan and EMU's game development programs, and vote for your favorite games!

Visit https://494showcase.com at 7pm EST on 12/08 to participate!

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Exhibition Wed, 31 Mar 2021 00:45:31 -0400 2021-04-21T18:45:00-04:00 2021-04-21T22:00:00-04:00 Off Campus Location EECS 494: Introduction to Game Development Exhibition EECS 494 Virtual Showcase
Special Joint Seminar between DCMB, Mathematics, MIDAS, and Smale Institute (April 22, 2021 1:00pm) https://events.umich.edu/event/83615 83615-21491327@events.umich.edu Event Begins: Thursday, April 22, 2021 1:00pm
Location: Off Campus Location
Organized By: DCMB Seminar Series

Abstract:

The quest to understand consciousness, once the purview of philosophers and theologians, is now actively pursued by scientists of many stripes. This talk looks at consciousness from the perspective of theoretical computer science. It formalizes the Global Workspace Theory (GWT) originated by cognitive neuroscientist Bernard Baars and further developed by him, Stanislas Dehaene, and others. Our major contribution lies in the precise formal definition of a Conscious Turing Machine (CTM), also called a Conscious AI. We define the CTM in the spirit of Alan Turing’s simple yet powerful definition of a computer, the Turing Machine (TM). We are not looking for a complex model of the brain nor of cognition but for a simple model of (the admittedly complex concept of) consciousness. After formally defining CTM, we give a formal definition of consciousness in CTM. We then suggest why the CTM has the feeling of consciousness. The reasonableness of the definitions and explanations can be judged by how well they agree with commonly accepted intuitive concepts of human consciousness, the range of related concepts that the model explains easily and naturally, and the extent of its agreement with scientific evidence.

https://umich.zoom.us/j/95135773568

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Livestream / Virtual Wed, 14 Apr 2021 10:17:45 -0400 2021-04-22T13:00:00-04:00 2021-04-22T14:00:00-04:00 Off Campus Location DCMB Seminar Series Livestream / Virtual
Connecting Education Innovation to Activism (May 12, 2021 12:00pm) https://events.umich.edu/event/83807 83807-21538170@events.umich.edu Event Begins: Wednesday, May 12, 2021 12:00pm
Location: Off Campus Location
Organized By: RISE (Research. Innovation. Scholarship. Education.)

R.I.S.E., the Center for Academic Innovation, and the Center for Research on Learning & Teaching (CRLT) invite you to join a Virtual Talking Circle (VTC) to discuss unique connections between education innovation & activism.

This collaboration across the University will serve as a first step in building a community interested in designing and promoting education innovation to improve society.

Anyone interested in education innovation and/or social justice and activism is invited!  We want to learn who is already doing this important work and identify potential collaborations across the University.

Please join us on Wednesday, May 12, 2021 from 12:00 - 1:00 PM

Register via Eventbrite

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Workshop / Seminar Tue, 20 Apr 2021 06:37:52 -0400 2021-05-12T12:00:00-04:00 2021-05-12T13:00:00-04:00 Off Campus Location RISE (Research. Innovation. Scholarship. Education.) Workshop / Seminar RISE Virtual Talking Circle
Lagranian Control at Large and Local Scales in Mixed Autonomy Traffic Flows (May 13, 2021 1:00pm) https://events.umich.edu/event/83812 83812-21538223@events.umich.edu Event Begins: Thursday, May 13, 2021 1:00pm
Location: Off Campus Location
Organized By: Center for Connected and Automated Transportation

The CCAT Distinguished Lecture Series returns this May with Professor Alexandre Bayen, the Liao-Cho Professor of Engineering at UC Berkeley! This talk investigates Lagrangian (mobile) control of traffic flow at local scale (vehicular level), and how self-driving vehicles will change traffic flow patterns. Professor Bayen describes approaches based on deep, reinforcement learning presented in the context of enabling mixed-autonomy mobility. This lecture also explores the gradual and complex integration of automated vehicles into the existing traffic system. Attendees will learn the potential impact of a small fraction of automated vehicles on low-level traffic flow dynamics, using novel techniques in model-free, deep reinforcement learning, in which the automated vehicles act as mobile (Lagrangian) controllers to traffic flow.

Illustrative examples will be presented in the context of a new, open-source computational platform called FLOW, which integrates state-of-the-art microsimulation tools with deep-RL libraries on AWS EC2. Interesting behavior of mixed autonomy traffic will be revealed in the context of emergent behavior of traffic: https://flow-project.github.io/

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Livestream / Virtual Tue, 20 Apr 2021 10:42:19 -0400 2021-05-13T13:00:00-04:00 2021-05-13T14:00:00-04:00 Off Campus Location Center for Connected and Automated Transportation Livestream / Virtual Decorative Image
Getting Engaged in Campus Education Innovation Activities (June 9, 2021 12:00pm) https://events.umich.edu/event/84084 84084-21619928@events.umich.edu Event Begins: Wednesday, June 9, 2021 12:00pm
Location: Off Campus Location
Organized By: RISE (Research. Innovation. Scholarship. Education.)

Our next Virtual Talking Circle (VTC) will feature representatives from several units on campus that are leading the way in cultivating education innovation: The Center for Academic Innovation (CAI), Fast Forward Medical Innovation (FFMI), and the International Mixed Reality Grand Rounds.

Join us on Wednesday, June 9, 2021 from 12:00 - 1:00 PM to learn more about these units and how you can get involved in their education innovation activities. We hope you will also share other education innovation resources available to faculty, staff and learners.

All are welcome!

Register via Zoom at: https://umich.zoom.us/webinar/register/WN_xVYKDuaYSXa6AevHutqXBA

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Workshop / Seminar Thu, 20 May 2021 06:44:41 -0400 2021-06-09T12:00:00-04:00 2021-06-09T13:00:00-04:00 Off Campus Location RISE (Research. Innovation. Scholarship. Education.) Workshop / Seminar RISE Virtual Talking Circle
Precision Health Graduate Certificate Program - Information Session (June 17, 2021 1:00pm) https://events.umich.edu/event/84199 84199-21620752@events.umich.edu Event Begins: Thursday, June 17, 2021 1:00pm
Location: Off Campus Location
Organized By: Department of Learning Health Sciences

Plan to attend this information session to learn more about the growing field of precision health which seeks to tailor health care for individuals via a multidisciplinary, data-driven approach.

The new U-M Precision Health Graduate Certificate Program has arrived to educate current and future practitioners and researchers in this emerging field so they can become better equipped to customize patient care.

**Only 12 credits of graduate coursework required
**Great opportunity for graduate students to design their own plan
**Network with other precision health students and faculty at seminars and professional development workshops
**Mentoring with faculty

The certificate is open to all graduate students enrolled at U-M. Application deadline is August 1.

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Other Thu, 03 Jun 2021 10:50:45 -0400 2021-06-17T13:00:00-04:00 2021-06-17T13:30:00-04:00 Off Campus Location Department of Learning Health Sciences Other learners and researchers in lab, classroom and research settings
EECS Juneteenth Celebration (June 18, 2021 1:00pm) https://events.umich.edu/event/84060 84060-21619781@events.umich.edu Event Begins: Friday, June 18, 2021 1:00pm
Location: Off Campus Location
Organized By: Electrical and Computer Engineering

https://umich.zoom.us/j/99331130203
Passcode: 719944

EECS invites you to our second Juneteenth celebration on Friday, June 18, from 1:00 – 2:00 p.m. ET.

Juneteenth is the oldest nationally celebrated commemoration of the ending of slavery in the United States. It celebrates African American freedom and achievement. Its goal is to promote and cultivate knowledge and appreciation of African American history and culture while encouraging continuous self-development and respect for all cultures. More info >

Our Juneteenth celebration will include:

-Performance of the Black National Anthem
-Reading of the Emancipation Proclamation
-Recognition of Dr. Willie Hobbs Moore, the first Black woman at Michigan to earn a BS and MS in Electrical Engineering (‘58 and ‘61), and the first Black woman in the country to earn a PhD in physics.
-Panel discussion on the representation of black students in STEM
All are welcome to attend to celebrate and learn!

If you have any problems accessing the event, please email eecs-comm@umich.edu.

Following the event, there will be an open Zoom meeting for additional questions and discussion.

https://umich.zoom.us/j/95094857220
Passcode: 010976

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Livestream / Virtual Mon, 17 May 2021 12:08:50 -0400 2021-06-18T13:00:00-04:00 2021-06-18T14:00:00-04:00 Off Campus Location Electrical and Computer Engineering Livestream / Virtual
2021 International Symposium on Transportation Data and Modeling (June 21, 2021 8:45am) https://events.umich.edu/event/83965 83965-21619227@events.umich.edu Event Begins: Monday, June 21, 2021 8:45am
Location: Off Campus Location
Organized By: Center for Connected and Automated Transportation

ISTDM 2021 aims to gather transportation researchers and practitioners across the globe for exploring the frontiers of big data, modeling, and simulation to advance transportation research to support the connected, cooperative, and automated mobility. With a greater focus on emerging technologies, ISTDM 2021 rebrands the two long-standing transportation symposia: International Symposium of Transport Simulation (ISTS), and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS).

The conference program can be found at https://limos.engin.umich.edu/istdm2021/schedule/.

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Conference / Symposium Tue, 04 May 2021 10:27:16 -0400 2021-06-21T08:45:00-04:00 2021-06-21T12:20:00-04:00 Off Campus Location Center for Connected and Automated Transportation Conference / Symposium Banner Image for ISTDM 2021. It features headshots of the keynote speakers
Optimal Task-Invariant Energetic Control for Powered Exoskeletons (June 22, 2021 8:00am) https://events.umich.edu/event/84328 84328-21623343@events.umich.edu Event Begins: Tuesday, June 22, 2021 8:00am
Location: Off Campus Location
Organized By: Michigan Robotics

Powered exoskeletons have been developed to serve as rehabilitation devices and provide gait assistance to human users. It enhances a healthy person's abilities and supports a physically challenged person's daily life by providing powered hip, knee, and/or ankle motions with different control designs. State-of-art powered exoskeletons use trajectory-based, kinematic control methods for specific tasks. This type of control is appropriate for paraplegia, where the exoskeleton provides complete assistance. However, it overly constrains the volitional motion of people with remnant voluntary ability, e.g., stroke patients. In contrast, trajectory-free control methods are now being developed to provide task-invariant partial assistance for practicing/relearning leg motions or performing a continuum of activities in varying environments. Robotics systems like powered exoskeletons can be represented in the format of the Euler-Lagrange equation or the equivalent class, the port-controlled Hamiltonian equations. We use energy shaping methods for task-invariance by altering the human-exoskeleton system's dynamic characteristics via the Euler-Lagrange equations or the more general port-controlled Hamiltonian equations. Under satisfaction of the matching conditions, which is a set of nonlinear partial differential equations (PDEs), the open-loop system's mass/inertia matrix and gravitational vector can be mapped to the desired closed-loop system dynamics.

Energy shaping has broad applicability but has been limited in part by its computational and analytical complexity. Changes to the system dynamics must follow the solution to the matching conditions, while finding a solution to the matching conditions itself is challenging. The corresponding controller for kinetic energy shaping requires complicated calculations of the mass/inertia matrix inverse, where the computational cost for implementation increases tremendously. Potential energy shaping avoids the matrix inversion by altering only the potential energy but prevents shaping on the inertia terms. Such challenges require a new total energy shaping (TES) framework that provides flexible shaping structures with more freedom to change closed-loop dynamics over the potential energy shaping method. The corresponding control law with shaped structure also requires efforts to optimally achieve the powered exoskeletons' target control strategy for different locomotor tasks. Therefore, the specific aims of this project are: 1) construct a TES framework for powered exoskeletons with flexible shaping structure, 2) apply the framework to powered exoskeletons for optimal assistance across varying locomotor tasks, and 3) perform experiments on multiple human subjects to demonstrate the possible clinical benefits of optimal TES framework with powered lower-limb exoskeletons.

This work is significant to the viability and performance of energy shaping methods to nonlinear systems by simplifying the matching conditions and providing flexibility in inertia forces/torques compensation. In powered exoskeletons, inertia compensation does not require modifying the mass/inertia matrix with high dimensions, and the corresponding controllers are efficient for experimental implementation. The powered exoskeletons' target control strategy uses normative torque patterns to provide assistance or augment performance. We formulate an optimization problem to design the controller and produce joint torques that fit normative biological joint torques and offload musculature for walking on multiple tasks, including stairs. We perform experiments with multiple able-bodied human subjects wearing a knee-ankle exoskeleton to demonstrate reduced activation in certain lower-limb muscles on multiple tasks.

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Livestream / Virtual Mon, 21 Jun 2021 08:03:12 -0400 2021-06-22T08:00:00-04:00 2021-06-22T10:00:00-04:00 Off Campus Location Michigan Robotics Livestream / Virtual exoskeleton walking on treadmill
2021 International Symposium on Transportation Data and Modeling (June 22, 2021 8:45am) https://events.umich.edu/event/83965 83965-21619228@events.umich.edu Event Begins: Tuesday, June 22, 2021 8:45am
Location: Off Campus Location
Organized By: Center for Connected and Automated Transportation

ISTDM 2021 aims to gather transportation researchers and practitioners across the globe for exploring the frontiers of big data, modeling, and simulation to advance transportation research to support the connected, cooperative, and automated mobility. With a greater focus on emerging technologies, ISTDM 2021 rebrands the two long-standing transportation symposia: International Symposium of Transport Simulation (ISTS), and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS).

The conference program can be found at https://limos.engin.umich.edu/istdm2021/schedule/.

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Conference / Symposium Tue, 04 May 2021 10:27:16 -0400 2021-06-22T08:45:00-04:00 2021-06-22T12:20:00-04:00 Off Campus Location Center for Connected and Automated Transportation Conference / Symposium Banner Image for ISTDM 2021. It features headshots of the keynote speakers
2021 International Symposium on Transportation Data and Modeling (June 23, 2021 8:45am) https://events.umich.edu/event/83965 83965-21619229@events.umich.edu Event Begins: Wednesday, June 23, 2021 8:45am
Location: Off Campus Location
Organized By: Center for Connected and Automated Transportation

ISTDM 2021 aims to gather transportation researchers and practitioners across the globe for exploring the frontiers of big data, modeling, and simulation to advance transportation research to support the connected, cooperative, and automated mobility. With a greater focus on emerging technologies, ISTDM 2021 rebrands the two long-standing transportation symposia: International Symposium of Transport Simulation (ISTS), and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS).

The conference program can be found at https://limos.engin.umich.edu/istdm2021/schedule/.

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Conference / Symposium Tue, 04 May 2021 10:27:16 -0400 2021-06-23T08:45:00-04:00 2021-06-23T12:20:00-04:00 Off Campus Location Center for Connected and Automated Transportation Conference / Symposium Banner Image for ISTDM 2021. It features headshots of the keynote speakers
2021 International Symposium on Transportation Data and Modeling (June 24, 2021 8:45am) https://events.umich.edu/event/83965 83965-21619230@events.umich.edu Event Begins: Thursday, June 24, 2021 8:45am
Location: Off Campus Location
Organized By: Center for Connected and Automated Transportation

ISTDM 2021 aims to gather transportation researchers and practitioners across the globe for exploring the frontiers of big data, modeling, and simulation to advance transportation research to support the connected, cooperative, and automated mobility. With a greater focus on emerging technologies, ISTDM 2021 rebrands the two long-standing transportation symposia: International Symposium of Transport Simulation (ISTS), and the International Workshop on Traffic Data Collection and its Standardization (IWTDCS).

The conference program can be found at https://limos.engin.umich.edu/istdm2021/schedule/.

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Conference / Symposium Tue, 04 May 2021 10:27:16 -0400 2021-06-24T08:45:00-04:00 2021-06-24T12:20:00-04:00 Off Campus Location Center for Connected and Automated Transportation Conference / Symposium Banner Image for ISTDM 2021. It features headshots of the keynote speakers