Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. Michigan Institute of Data Science Annual Symposium (November 15, 2021 3:45pm) https://events.umich.edu/event/88887 88887-21658823@events.umich.edu Event Begins: Monday, November 15, 2021 3:45pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

3:45 PM - 4:00 PM: H.V. Jagadish, Opening Remarks
4:00 PM - 5:00 PM: Dr. Rebecca Fiebrink, Keynote Address: “How machine learning can support human creators"

]]>
Workshop / Seminar Tue, 02 Nov 2021 10:42:22 -0400 2021-11-15T15:45:00-05:00 2021-11-15T17:00:00-05:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar MIDAS Symposium 2021
Michigan Institute of Data Science Annual Symposium (November 16, 2021 9:00am) https://events.umich.edu/event/88888 88888-21658824@events.umich.edu Event Begins: Tuesday, November 16, 2021 9:00am
Location: Michigan League
Organized By: Michigan Institute for Data Science

Workshops

Sign up to attend one of the four mini-workshops as part of the 2021 U-M Data Science and AI Symposium. Bring your own laptop!

Nov. 16th | 9:00am - 11:00am @ Michigan League

1. Introduction to data visualization on the web with D3.js. Led by Prof. Fred Feng (Industrial and Manufacturing Systems Engineering)

2. Using text as data: Introduction to machine learning for natural language processing. Led by Drs. Jule Krueger (Institute for Social Research) and Meghan Dailey (Advanced Research Computing)

3. Diversity and equity in data science - a community forum. Led by Drs. Lia Corrales (Astronomy), Tayo Fabusuyi (U-M Transportation Research Institute), H. V. Jagadish (MIDAS Director), and Rada Mihalcea (U-M AI Lab Director). Presenters will highlight technical designs to detect and adjust for data and algorithmic biases, and programs that promote diversity in data science and AI research community. Attendees will be encouraged to share their work and discuss ways to collaborate.

4. Developing best practices for reproducible data science. Led by Drs. Jing Liu (MIDAS Managing Director), Johann Gagnon-Bartsch (Statistics), Tom Valley (Internal Medicine) and Sharon Glotzer's Lab. The presenters will offer tutorials on building reproducible workflows, data and code review and sharing. They will also answer questions for those who are interested in entering the MIDAS 2021 Reproducibility Challenge.

]]>
Workshop / Seminar Tue, 02 Nov 2021 10:48:50 -0400 2021-11-16T09:00:00-05:00 2021-11-16T11:00:00-05:00 Michigan League Michigan Institute for Data Science Workshop / Seminar MIDAS Symposium 2021
Precision Health Seminar Series (December 9, 2021 11:30am) https://events.umich.edu/event/88799 88799-21657772@events.umich.edu Event Begins: Thursday, December 9, 2021 11:30am
Location: Off Campus Location
Organized By: Precision Health

What goes on behind the scenes when clinicians use these tools to provide evidence-based care? Our panel weighs in on what is important for clinicians to know and how confident they can be when using these tools. Our panelists also describe training necessary to use these tools effectively to support medical decisions.

The panel includes varied perspectives from: an engineer, a learner, a clinician, and an educator.

* Rada Mihalcea, PhD, Professor, Electrical Engineering & Computer Science, College of Engineering
* Erkin Otles, Medical Scientist Training Program Fellow (MD-PhD student)
* Max Spadafore, MD, Resident, Emergency Medicine
* Cornelius James, MD, Assistant Professor, Internal Medicine & Pediatrics

The panel will be moderated by Vicki Ellingrod, PharmD, Associate Research Dean and Professor, Pharmacy.

This webinar is the third in the Precision Health educational series "Demystifying the Data, Processes, and Tools that Are Changing Clinical Care." Visit the Precision Health website to see recordings of previous webinars: https://precisionhealth.umich.edu/.

]]>
Livestream / Virtual Thu, 11 Nov 2021 16:27:29 -0500 2021-12-09T11:30:00-05:00 2021-12-09T12:30:00-05:00 Off Campus Location Precision Health Livestream / Virtual Precision Health at U-M
Precision Health Jan. 2022 Webinar (January 27, 2022 1:30pm) https://events.umich.edu/event/90512 90512-21671208@events.umich.edu Event Begins: Thursday, January 27, 2022 1:30pm
Location: Off Campus Location
Organized By: Precision Health

Join us for a frank discussion about the law and ethics of health research that relies on artificial intelligence and machine learning, and the impact it can have on treatment and perpetuation of health disparities. We’ll discuss legal and ethical issues related to biased algorithms, liability, regulation, data ownership, and responsible use of health data.

Incorporating perspectives from a computational social scientist (Abigail Jacobs, Assistant Professor of Complex Systems and Information, LSA) and a legal scholar with expertise in the responsible use of big data (Nicholson Price, Professor of Law), this webinar will provoke thought and provide important information to help clinicians and data scientists continue their research while also working to improve care and reduce health disparities.

The event will be moderated by Vicki Ellingrod, PharmD, Associate Research Dean and Professor of Pharmacy.

This webinar is the fourth in the Precision Health educational series: "Demystifying the Data, Processes, and Tools that Are Changing Clinical Care."

*Please use @umich.edu (NOT @med.umich.edu) email to register.*

]]>
Workshop / Seminar Wed, 05 Jan 2022 15:28:21 -0500 2022-01-27T13:30:00-05:00 2022-01-27T14:30:00-05:00 Off Campus Location Precision Health Workshop / Seminar Ethical/legal considerations for precision health AI and ML
Precision Health Feb. 2022 Webinar (February 10, 2022 12:30pm) https://events.umich.edu/event/90513 90513-21671209@events.umich.edu Event Begins: Thursday, February 10, 2022 12:30pm
Location: Off Campus Location
Organized By: Precision Health

Join us for a unique look into data and resources that can accelerate health research and improve clinical care, and concrete examples of how data has provided unprecedented insight into treatment and predicting outcomes. Erin Kaleba, MPH, Director of the Data Office for Clinical and Translational Research, will review the landscape of rich resources available to U-M clinicians and researchers and recent enhancements that greatly simplify access. Brahmajee Nallamothu, MD, MPH, Professor of Internal Medicine - Cardiovascular Diseases and Co-Director of Precision Health, will share real-life case studies of how these resources have improved clinical care and will continue to benefit patients.

This webinar is the fifth in the Precision Health educational series: "Demystifying the Data, Processes, and Tools that Are Changing Clinical Care."

*Please use @umich.edu (NOT @med.umich.edu) email to register.*

]]>
Workshop / Seminar Wed, 05 Jan 2022 16:12:27 -0500 2022-02-10T12:30:00-05:00 2022-02-10T13:30:00-05:00 Off Campus Location Precision Health Workshop / Seminar How clinicians can benefit from precision health tools
2022 Precision Health Symposium (March 16, 2022 8:00am) https://events.umich.edu/event/91836 91836-21683225@events.umich.edu Event Begins: Wednesday, March 16, 2022 8:00am
Location: North Campus Research Complex Building 18
Organized By: Precision Health

Join us for a half-day, in-person event (with remote option) that will focus on the transformative impact artificial intelligence and machine learning are having on precision healthcare. Attendees will hear from thought leaders, researchers, and practitioners who will guide the conversation from big picture concepts, to the importance of applying new research tools responsibly and inclusively, to the need for integrating new methods and inclusivity considerations into training for clinicians, researchers, and other learners.

Keynote Speaker: Bob Wachter

Featured Speakers: Akbar Waljee, Lionel Robert, Jodyn Platt

]]>
Workshop / Seminar Mon, 07 Mar 2022 16:32:48 -0500 2022-03-16T08:00:00-04:00 2022-03-16T12:00:00-04:00 North Campus Research Complex Building 18 Precision Health Workshop / Seminar Precision Health Symposium
PODS Grant Showcase (March 23, 2022 12:00pm) https://events.umich.edu/event/92610 92610-21693587@events.umich.edu Event Begins: Wednesday, March 23, 2022 12:00pm
Location: Weiser Hall
Organized By: Michigan Institute for Data Science

The PODS Grant Showcase will bring together all of the 2021 awarded teams to present on their proposals and the work accomplished so far in the projects. Lightning talks will be given by most teams with deeper dives on certain projects.

Please RSVP if you plan to attend.

Click here for more information about the 2021 PODS Awardees.

Schedule:
- 12:00pm - Light Lunch
- 12:30pm - Introduction, Opening remarks
- 12:36pm - IPODS: Innovative and Powerful Optimization methods for Data science with Statistical guarantees, Albert Berahas (Industrial & Operations Engineering)
- 12:42pm - Supporting decision-making for a vital waterway in the Great lakes by machine learning model-based lake ice forecasting, Ayumi Fujisaki-Manome (CIGLR in SEAS, CLASP)
- 12:48pm - Robust machine learning under distribution shifts and shocks: Application to sustainable air quality, Paramveer Dhillon (School of Information)
- 12:54pm - Data science approach towards a socio-ecological framework for the investigation of continental urban stream water quality pattern, Runzi Wang (School for Environment and Sustainability)
- 1:00pm - Using Geospatial Data Science to Identify Vulnerable Communities to Climate Change, Joshua Newell (School for Environment and Sustainability)
- 1:17pm - Break
- 1:27pm - Ensuring FAIRness in Social Media Archives, Libby Hemphill (School of Information, ICPSR)
- 1:33pm - Images to Integrated Data: Piloting new methods to digitize, parse, and link historical records, Joseph Alexander (ICPSR, Population Studies Center)
- 1:39pm - Measuring Racial Disparity in the Language of Physician-Patient Interactions, David Jurgens (School of Information, Computer Science and Engineering)
- 1:56pm - Classifying the Content of Undergraduate Course-taking at Scale, Kevin Stange (Ford School of Public Policy)
- 2:02pm - Exploring attention-based deep learning methods for improving students’ ability to engage with scientific literature, Kevyn Collins-Thompson (School of Information, Electrical Engineering and Computer Science)
- 2:19pm - Break
- 2:29pm - Coordinated Multi-building Modeling and Management for Flexible Grid Service Innovation, Eunshin Byon (Industrial and Operations Engineering, Civil and Environmental Engineering)
- 2:35pm - Interpretable Machine Learning for Identifying Descriptors of Catalysts for Chemical Conversion, Bryan Goldsmith (Chemical Engineering)
- 2:41pm - Equitable Models for Persistent Opioid Use Prediction and Personalization, Rahul Ladhania (Health Management & Policy, Biostatistics)
- 2:47pm - Machine learning augmented system for continuous fetal monitoring, Kathleen Sienko (Mechanical Engineering)
- 2:53pm - Scientifically-Structured Latent Variable Methods for High-Dimensional Data to Individualize Healthcare, Zhenke Wu (Biostatistics, School of Public Health)
- 3:00pm - End

]]>
Workshop / Seminar Sun, 20 Feb 2022 22:15:17 -0500 2022-03-23T12:00:00-04:00 2022-03-23T15:00:00-04:00 Weiser Hall Michigan Institute for Data Science Workshop / Seminar MIDAS Events
Responsible Data Science and AI mini-symposium (April 6, 2022 1:15pm) https://events.umich.edu/event/93987 93987-21713513@events.umich.edu Event Begins: Wednesday, April 6, 2022 1:15pm
Location: Palmer Commons
Organized By: Michigan Institute for Data Science

Data science and AI are having a significant impact on society in uncountable ways, leading to huge benefits in many cases. Yet, increasingly complex analytical pipelines working with poorly understood heterogeneous data sets can give rise to harms in many ways. Furthermore, there could be deleterious systemic effects such as the magnification of disinformation or surveillance capitalism. There has been tremendous recent interest in understanding and managing these concerns.
The Mini-Symposium is a part of the Future Leaders Summit two day event and is open to the public. Below is the event schedule:
1:15 PM - Opening Remarks, Jing Liu (Managing Director, MIDAS, University of Michigan)
1:20 PM - Why Data Scientists Should Care About Data Equity, H.V. Jagadish (Director, MIDAS, University of Michigan)
2:00 PM - Responsible data science is equitable, informed, and secure, David Mongeau (University of Texas San Antonio)
2:40 PM – GeoAI and Spatial Data Science: with Great Power comes Great Responsibility, Shashi Shekhar (University of Minnesota)
3:20 PM - Break
3:40 PM – When Algorithms Trade: Modeling AI in Financial Markets, Michael Wellman (University of Michigan)
4:20 PM – Who Decides What Counts? AI and Big Data: Applications in Economic and Social Science Research, Frauke Kreuter (University of Maryland)
5:00 PM – Panel: Research directions and future breakthroughs, All speakers

]]>
Conference / Symposium Fri, 25 Mar 2022 14:37:52 -0400 2022-04-06T13:15:00-04:00 2022-04-06T17:30:00-04:00 Palmer Commons Michigan Institute for Data Science Conference / Symposium Responsible Data Science and AI Mini Symposium Flyer
2022 Investigators Awards Launch Event (April 7, 2022 10:00am) https://events.umich.edu/event/92973 92973-21698652@events.umich.edu Event Begins: Thursday, April 7, 2022 10:00am
Location: Off Campus Location
Organized By: Precision Health

Join us for a lively, fast-paced series of presentations (3 minutes each!) by our most recently funded project PIs. Hear what exciting challenges they're taking on and see how multidisciplinary teams are working together to improve health.

After these presentations, we will open breakout rooms to invite your ideas on the following topics:
Tackling Health Disparities through Precision Health
New Advances in Health Image Analysis
Using Genetic Information to Individualize Patient Care
Reinforcement Learning & Causal Inference in Healthcare
Learning from Multi-institution EHR data Opportunities to Enhance Data Sharing and Collaboration
What's missing from Precision Health resources?

The launching projects include:
Anouck Girard (COE), Josephine Kasa-Vubu (Med), Michael DiPietro (Med) -- "Using Artificial Intelligence To Broaden and Diversify Outdated Standards for the Determination of Skeletal Maturation in Growing Children"

Todd Hollon (COE), Honglak Lee (COE), Sandra Camelo-Piragua (Med) -- "Rapid Intraoperative Molecular Diagnosis of Diffuse Gliomas Using Stimulated Raman Histology and Deep Neural Networks"

Hui Jiang (SPH) -- "Statistical and Computational Methods for Asymmetric Integration of Datasets from Different Cancers for the Identification of Cancer-related Genes and Biomarkers in Case-control Analyses"

Michael Mathis (Med) -- "Predicting Cardiac Surgery-Associated Acute Kidney Injury using Federated Learning"

Amy Pasternak (Pharm), Vaibhav Sahai (Med) -- "Assessing the Impact of Germline Pharmacogenetics (PGx) on Medication Outcomes and Clinician Prescribing Decisions in Patients with Cancer"

Scott Peltier (BME), Zhongming Liu (BME) -- "Deep Learning for Prediction of Mild Cognitive Impairment and Dementia of the Alzheimer’s Type"

Xu Shi (SPH) -- "Automated Harmonization of Multi-institutional Electronic Health Records Data"


Questions? Contact Tina Creguer, tcreguer@umich.edu.

]]>
Presentation Thu, 03 Mar 2022 16:52:49 -0500 2022-04-07T10:00:00-04:00 2022-04-07T11:30:00-04:00 Off Campus Location Precision Health Presentation Precision Health Investigators Awards