Happening @ Michigan https://events.umich.edu/list/rss RSS Feed for Happening @ Michigan Events at the University of Michigan. Generative AI Coast-to-Coast Webinar Series (August 8, 2023 2:00pm) https://events.umich.edu/event/109575 109575-21822316@events.umich.edu Event Begins: Tuesday, August 8, 2023 2:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Are you wondering how Generative AI can boost your research productivity and help you with literature search, code writing, hypothesis generation, data query, and other things in your projects?

Join us to hear from prominent researchers who are using Generative AI to accelerate their research, and their thoughts on ethical and technical issues with Generative AI when used in research.

Each webinar will include extensive audience discussion time.

Participating institutions include Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute at the University of California, Berkeley; University of Michigan; and the University of Washington.

More information on our event page: https://midas.umich.edu/generative-ai-c2c/

Generative AI in Healthcare and Public Health
August 8, 2023
2:00 - 3:30PM Eastern

Speakers:
Mark Dredze, John C Malone Professor of Computer Science, John Hopkins University; Director of Research (Foundations of AI), JHU AI-X Foundry.
Topic: Large Language Models in Medicine: Opportunities and Challenges

Abraham D. Flaxman, Associate Professor of Global Health, Institute for Health Metrics and Evaluation (IHME), University of Washington
Topic: Generative AI in Global Health Metrics: opportunities and risks in natural language processing, AI-assisted data analysis, and simulation modeling

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Generative AI in the Lab
August 23, 2023,
1:00 - 2:30PM Eastern

Speakers:
Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering, the Ohio State University
Topic: Generative AI for Drug Discovery

Arlei Silva, Assistance Professor, Computer Science, Rice University
Topic: Generative Models for Graph Data: Challenges and Opportunities

Registration: https://umich.zoom.us/webinar/register/WN_xoxgdbQmRlWA5_KToOc4bg#/registration
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Policy, Ethics, and Generative AI
August 28, 2023
1:00 - 2:30PM Eastern

Speakers:
Marjory Blumenthal, External Fellow, International Computer Science Institute – University of California, Berkeley

Merve Hickok, School of Information – University of Michigan; President, Center for AI & Digital Policy; Founder, AIethicist.org

Registration: https://umich.zoom.us/webinar/register/WN_7sjViomvRQajFdyn0XNczQ#/registration

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An Under the Hood Look at Generative AI: Potentials and Pitfalls
August 31, 2023
3:00 - 4:30 PM Eastern

Speakers:
David Evan Harris, Senior Research Fellow, International Computer Science Institute – University of California, Berkeley
Topic: Generative AI – What Could go wrong?

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; University of Michigan
Topic: Moving beyond one-size-fits-all in generative AI

Registration: https://umich.zoom.us/webinar/register/WN_VeUcghN0T8GOsgo8vau0kA#/registration

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Workshop / Seminar Thu, 17 Aug 2023 15:00:39 -0400 2023-08-08T14:00:00-04:00 2023-08-08T15:30:00-04:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Generative AI Coast-to-Coast Webinar Series cover image
Generative AI Coast-to-Coast Webinar Series (August 23, 2023 1:00pm) https://events.umich.edu/event/109575 109575-21822317@events.umich.edu Event Begins: Wednesday, August 23, 2023 1:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Are you wondering how Generative AI can boost your research productivity and help you with literature search, code writing, hypothesis generation, data query, and other things in your projects?

Join us to hear from prominent researchers who are using Generative AI to accelerate their research, and their thoughts on ethical and technical issues with Generative AI when used in research.

Each webinar will include extensive audience discussion time.

Participating institutions include Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute at the University of California, Berkeley; University of Michigan; and the University of Washington.

More information on our event page: https://midas.umich.edu/generative-ai-c2c/

Generative AI in Healthcare and Public Health
August 8, 2023
2:00 - 3:30PM Eastern

Speakers:
Mark Dredze, John C Malone Professor of Computer Science, John Hopkins University; Director of Research (Foundations of AI), JHU AI-X Foundry.
Topic: Large Language Models in Medicine: Opportunities and Challenges

Abraham D. Flaxman, Associate Professor of Global Health, Institute for Health Metrics and Evaluation (IHME), University of Washington
Topic: Generative AI in Global Health Metrics: opportunities and risks in natural language processing, AI-assisted data analysis, and simulation modeling

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Generative AI in the Lab
August 23, 2023,
1:00 - 2:30PM Eastern

Speakers:
Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering, the Ohio State University
Topic: Generative AI for Drug Discovery

Arlei Silva, Assistance Professor, Computer Science, Rice University
Topic: Generative Models for Graph Data: Challenges and Opportunities

Registration: https://umich.zoom.us/webinar/register/WN_xoxgdbQmRlWA5_KToOc4bg#/registration
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Policy, Ethics, and Generative AI
August 28, 2023
1:00 - 2:30PM Eastern

Speakers:
Marjory Blumenthal, External Fellow, International Computer Science Institute – University of California, Berkeley

Merve Hickok, School of Information – University of Michigan; President, Center for AI & Digital Policy; Founder, AIethicist.org

Registration: https://umich.zoom.us/webinar/register/WN_7sjViomvRQajFdyn0XNczQ#/registration

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An Under the Hood Look at Generative AI: Potentials and Pitfalls
August 31, 2023
3:00 - 4:30 PM Eastern

Speakers:
David Evan Harris, Senior Research Fellow, International Computer Science Institute – University of California, Berkeley
Topic: Generative AI – What Could go wrong?

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; University of Michigan
Topic: Moving beyond one-size-fits-all in generative AI

Registration: https://umich.zoom.us/webinar/register/WN_VeUcghN0T8GOsgo8vau0kA#/registration

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Workshop / Seminar Thu, 17 Aug 2023 15:00:39 -0400 2023-08-23T13:00:00-04:00 2023-08-23T14:30:00-04:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Generative AI Coast-to-Coast Webinar Series cover image
Generative AI Coast-to-Coast Webinar Series (August 28, 2023 1:00pm) https://events.umich.edu/event/109575 109575-21822318@events.umich.edu Event Begins: Monday, August 28, 2023 1:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Are you wondering how Generative AI can boost your research productivity and help you with literature search, code writing, hypothesis generation, data query, and other things in your projects?

Join us to hear from prominent researchers who are using Generative AI to accelerate their research, and their thoughts on ethical and technical issues with Generative AI when used in research.

Each webinar will include extensive audience discussion time.

Participating institutions include Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute at the University of California, Berkeley; University of Michigan; and the University of Washington.

More information on our event page: https://midas.umich.edu/generative-ai-c2c/

Generative AI in Healthcare and Public Health
August 8, 2023
2:00 - 3:30PM Eastern

Speakers:
Mark Dredze, John C Malone Professor of Computer Science, John Hopkins University; Director of Research (Foundations of AI), JHU AI-X Foundry.
Topic: Large Language Models in Medicine: Opportunities and Challenges

Abraham D. Flaxman, Associate Professor of Global Health, Institute for Health Metrics and Evaluation (IHME), University of Washington
Topic: Generative AI in Global Health Metrics: opportunities and risks in natural language processing, AI-assisted data analysis, and simulation modeling

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Generative AI in the Lab
August 23, 2023,
1:00 - 2:30PM Eastern

Speakers:
Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering, the Ohio State University
Topic: Generative AI for Drug Discovery

Arlei Silva, Assistance Professor, Computer Science, Rice University
Topic: Generative Models for Graph Data: Challenges and Opportunities

Registration: https://umich.zoom.us/webinar/register/WN_xoxgdbQmRlWA5_KToOc4bg#/registration
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Policy, Ethics, and Generative AI
August 28, 2023
1:00 - 2:30PM Eastern

Speakers:
Marjory Blumenthal, External Fellow, International Computer Science Institute – University of California, Berkeley

Merve Hickok, School of Information – University of Michigan; President, Center for AI & Digital Policy; Founder, AIethicist.org

Registration: https://umich.zoom.us/webinar/register/WN_7sjViomvRQajFdyn0XNczQ#/registration

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An Under the Hood Look at Generative AI: Potentials and Pitfalls
August 31, 2023
3:00 - 4:30 PM Eastern

Speakers:
David Evan Harris, Senior Research Fellow, International Computer Science Institute – University of California, Berkeley
Topic: Generative AI – What Could go wrong?

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; University of Michigan
Topic: Moving beyond one-size-fits-all in generative AI

Registration: https://umich.zoom.us/webinar/register/WN_VeUcghN0T8GOsgo8vau0kA#/registration

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Workshop / Seminar Thu, 17 Aug 2023 15:00:39 -0400 2023-08-28T13:00:00-04:00 2023-08-28T14:30:00-04:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Generative AI Coast-to-Coast Webinar Series cover image
Generative AI Coast-to-Coast Webinar Series (August 31, 2023 3:00pm) https://events.umich.edu/event/109575 109575-21822319@events.umich.edu Event Begins: Thursday, August 31, 2023 3:00pm
Location: Off Campus Location
Organized By: Michigan Institute for Data Science

Are you wondering how Generative AI can boost your research productivity and help you with literature search, code writing, hypothesis generation, data query, and other things in your projects?

Join us to hear from prominent researchers who are using Generative AI to accelerate their research, and their thoughts on ethical and technical issues with Generative AI when used in research.

Each webinar will include extensive audience discussion time.

Participating institutions include Johns Hopkins University; the Ohio State University; Rice University; the International Computer Science Institute at the University of California, Berkeley; University of Michigan; and the University of Washington.

More information on our event page: https://midas.umich.edu/generative-ai-c2c/

Generative AI in Healthcare and Public Health
August 8, 2023
2:00 - 3:30PM Eastern

Speakers:
Mark Dredze, John C Malone Professor of Computer Science, John Hopkins University; Director of Research (Foundations of AI), JHU AI-X Foundry.
Topic: Large Language Models in Medicine: Opportunities and Challenges

Abraham D. Flaxman, Associate Professor of Global Health, Institute for Health Metrics and Evaluation (IHME), University of Washington
Topic: Generative AI in Global Health Metrics: opportunities and risks in natural language processing, AI-assisted data analysis, and simulation modeling

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Generative AI in the Lab
August 23, 2023,
1:00 - 2:30PM Eastern

Speakers:
Xia Ning, Professor, Biomedical Informatics, Computer Science and Engineering, the Ohio State University
Topic: Generative AI for Drug Discovery

Arlei Silva, Assistance Professor, Computer Science, Rice University
Topic: Generative Models for Graph Data: Challenges and Opportunities

Registration: https://umich.zoom.us/webinar/register/WN_xoxgdbQmRlWA5_KToOc4bg#/registration
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Policy, Ethics, and Generative AI
August 28, 2023
1:00 - 2:30PM Eastern

Speakers:
Marjory Blumenthal, External Fellow, International Computer Science Institute – University of California, Berkeley

Merve Hickok, School of Information – University of Michigan; President, Center for AI & Digital Policy; Founder, AIethicist.org

Registration: https://umich.zoom.us/webinar/register/WN_7sjViomvRQajFdyn0XNczQ#/registration

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An Under the Hood Look at Generative AI: Potentials and Pitfalls
August 31, 2023
3:00 - 4:30 PM Eastern

Speakers:
David Evan Harris, Senior Research Fellow, International Computer Science Institute – University of California, Berkeley
Topic: Generative AI – What Could go wrong?

Rada Mihalcea, Janice M Jenkins Collegiate Professor of Electrical Engineering and Computer Science; Director, Michigan Artificial Intelligence Laboratory; University of Michigan
Topic: Moving beyond one-size-fits-all in generative AI

Registration: https://umich.zoom.us/webinar/register/WN_VeUcghN0T8GOsgo8vau0kA#/registration

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Workshop / Seminar Thu, 17 Aug 2023 15:00:39 -0400 2023-08-31T15:00:00-04:00 2023-08-31T16:30:00-04:00 Off Campus Location Michigan Institute for Data Science Workshop / Seminar Generative AI Coast-to-Coast Webinar Series cover image
Generative AI: Diffusion Models for Scientific Machine Learning (September 15, 2023 8:30am) https://events.umich.edu/event/109818 109818-21823042@events.umich.edu Event Begins: Friday, September 15, 2023 8:30am
Location: Weiser Hall
Organized By: Michigan Institute for Data Science

About: Recently, diffusion models have emerged as a powerful new family of deep generative models with record-breaking performance in many applications, including image generation, audio synthesis, inverse problem solving, and many scientific disciplines. However, despite their impressive results, they also encounter numerous challenges and constraints that inhibit their practical implementation in many scientific pursuits. Therefore, this MIDAS symposium will serve as a timely platform where experts and researchers from both methodology and application research fields will explore the latest progress and developments in generative AI and diffusion models, and delve into the application of these models in scientific and medical fields, which will become a prime venue for idea exchange and fostering research partnerships in this emerging field.

*Please note that photography will be in use during this event. If you do not wish to have your photo published, please pick up a red lanyard during check-in.

For list of speakers and schedule, please visit our event page: https://midas.umich.edu/gen-ai-diffusion-models

Registration: https://forms.gle/APwTeyrphkpsYT5F8

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Conference / Symposium Tue, 15 Aug 2023 11:36:31 -0400 2023-09-15T08:30:00-04:00 2023-09-15T17:00:00-04:00 Weiser Hall Michigan Institute for Data Science Conference / Symposium Generative AI: Diffusion Models for Scientific Machine Learning cover image
MICDE Ph.D. Student Seminar: Haowei Sun (September 26, 2023 12:00pm) https://events.umich.edu/event/112110 112110-21828500@events.umich.edu Event Begins: Tuesday, September 26, 2023 12:00pm
Location: 202 S. Thayer
Organized By: Michigan Institute for Computational Discovery and Engineering

This talk is aiming at mitigating current simulation-based AV safety performance evaluation approaches. Tera City is composed of naturalistic driving environment construction and intelligent testing environment construction, which provided accuracy and efficiency, respectively.

*Bio:*
Haowei Sun is a Ph.D. candidate at Civil Engineering, Next Generation Transportation System Program. His research focus is mainly on the safety validation and verification of autonomous vehicles.

*The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public.*

*If you have any questions, please email micde-events@umich.edu.*

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Presentation Tue, 12 Sep 2023 14:57:50 -0400 2023-09-26T12:00:00-04:00 2023-09-26T12:30:00-04:00 202 S. Thayer Michigan Institute for Computational Discovery and Engineering Presentation MICDE Ph.D. Seminar Series: Haowei Sun
Graduate Studies in Computational & Data Sciences Information Session (September 27, 2023 4:00pm) https://events.umich.edu/event/110296 110296-21824745@events.umich.edu Event Begins: Wednesday, September 27, 2023 4:00pm
Location: Lurie Robert H. Engin. Ctr
Organized By: Michigan Institute for Computational Discovery and Engineering

The educational programs represented are:
- PhD in Scientific Computing (MICDE)
- Graduate Certificate in Computational Discovery & Engineering (MICDE)
- Graduate Certificate in Computational Neuroscience (MICDE)
- Graduate Certificate in Data Science (MIDAS)

These programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range of applications - current and past students have come from a variety of home departments including Aerospace Engineering, Applied Physics, Biostatistics, Biomedical Engineering, Civil & Environmental Engineering, Chemistry, Chemical Engineering, Climate and Space Sciences and Engineering, Computational Medicine and Bioinformatics, Ecology and Evolutionary Biology, Earth and Environmental Sciences, Epidemiology, Health Behavior and Health Education, Health Infrastructures & Learning Systems, Information, Industrial & Operations Engineering, Kinesiology, Linguistics, Macromolecular Science & Engineering, Math, Molecular, Cellular, and Developmental Biology, Mechanical Engineering, Materials Science & Engineering, Naval Architecture & Marine Engineering, Nuclear Engineering & Radiological Sciences, Neuroscience, Pharmaceutical Sciences, Physics, Political Science, Psychology, Environment and Sustainability, Sociology and Statistics.

If you have any questions about these programs or about the information session, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).

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Presentation Thu, 21 Sep 2023 10:24:54 -0400 2023-09-27T16:00:00-04:00 2023-09-27T17:00:00-04:00 Lurie Robert H. Engin. Ctr Michigan Institute for Computational Discovery and Engineering Presentation MICDE/MIDAS Information Session - PhD in Scientific Computing (MICDE) - Graduate Certificate in Computational Discovery & Engineering (MICDE) - Graduate Certificate in Computational Neuroscience (MICDE) - Graduate Certificate in Data Science (MIDAS)
Graduate Studies in Computational & Data Sciences Information Session (September 29, 2023 12:00pm) https://events.umich.edu/event/110296 110296-21824746@events.umich.edu Event Begins: Friday, September 29, 2023 12:00pm
Location: 1100 North University Building
Organized By: Michigan Institute for Computational Discovery and Engineering

The educational programs represented are:
- PhD in Scientific Computing (MICDE)
- Graduate Certificate in Computational Discovery & Engineering (MICDE)
- Graduate Certificate in Computational Neuroscience (MICDE)
- Graduate Certificate in Data Science (MIDAS)

These programs are open to all U-M graduate students with an interest in scientific computing or data science. These methodologies can have a wide range of applications - current and past students have come from a variety of home departments including Aerospace Engineering, Applied Physics, Biostatistics, Biomedical Engineering, Civil & Environmental Engineering, Chemistry, Chemical Engineering, Climate and Space Sciences and Engineering, Computational Medicine and Bioinformatics, Ecology and Evolutionary Biology, Earth and Environmental Sciences, Epidemiology, Health Behavior and Health Education, Health Infrastructures & Learning Systems, Information, Industrial & Operations Engineering, Kinesiology, Linguistics, Macromolecular Science & Engineering, Math, Molecular, Cellular, and Developmental Biology, Mechanical Engineering, Materials Science & Engineering, Naval Architecture & Marine Engineering, Nuclear Engineering & Radiological Sciences, Neuroscience, Pharmaceutical Sciences, Physics, Political Science, Psychology, Environment and Sustainability, Sociology and Statistics.

If you have any questions about these programs or about the information session, please reach out to MICDE (micde-contact@umich.edu) or MIDAS (midas-contact@umich.edu).

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Presentation Thu, 21 Sep 2023 10:24:54 -0400 2023-09-29T12:00:00-04:00 2023-09-29T13:00:00-04:00 1100 North University Building Michigan Institute for Computational Discovery and Engineering Presentation MICDE/MIDAS Information Session - PhD in Scientific Computing (MICDE) - Graduate Certificate in Computational Discovery & Engineering (MICDE) - Graduate Certificate in Computational Neuroscience (MICDE) - Graduate Certificate in Data Science (MIDAS)
MICDE ACES Mini-Symposium (October 10, 2023 1:00pm) https://events.umich.edu/event/110297 110297-21824747@events.umich.edu Event Begins: Tuesday, October 10, 2023 1:00pm
Location: Lurie Robert H. Engin. Ctr
Organized By: Michigan Institute for Computational Discovery and Engineering

MICDE is excited to present the Advanced Computational Science & Engineering Showcase (ACES) mini-symposium. ACES is a highly anticipated event aiming to highlight current trends and hot topics in computational science and showcase the outstanding research supported by the MICDE Catalyst Grant.
This year's mini-symposium features the following exceptional faculty:
Ada Eban-Rothschild, Assistant Professor | Department of Psychology
Gary Luker, Professor | Department of Radiology | Department of Biomedical Engineering | Department of Microbiology and Immunology
Salar Fattahi, Assistant Professor | Department of Industrial and Operations Engineering
Jesse Capecelatro, Associate Professor | Department of Mechanical Engineering | Department of Aerospace Engineering
Venkat Viswanathan, Associate Professor | Department of Aerospace Engineering
George Tzimpragos, Assistant Professor | Department of Computer Science and Engineering
Gokul Ravi, Assistant Professor | Department of Electrical Engineering and Computer Science

The event finishes with a networking reception, where faculty members can share their research ideas and future plans, sparking collaborations.

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Conference / Symposium Wed, 04 Oct 2023 10:59:29 -0400 2023-10-10T13:00:00-04:00 2023-10-10T17:00:00-04:00 Lurie Robert H. Engin. Ctr Michigan Institute for Computational Discovery and Engineering Conference / Symposium Lurie Robert H. Engin. Ctr
MICDE Ph.D. Student Seminar: Lingfeng Luo (March 5, 2024 12:00pm) https://events.umich.edu/event/119123 119123-21842239@events.umich.edu Event Begins: Tuesday, March 5, 2024 12:00pm
Location: Duderstadt Center
Organized By: Michigan Institute for Computational Discovery and Engineering

Lingfeng Luo will present his talk: Gradient Boosting-Based Discrete Failure Time Model for Selecting Time-Varying Effects and Interactions as a part of the MICDE PhD Student Seminar Series.

*The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public.

If you have any questions, please email micde-events@umich.edu.*

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Workshop / Seminar Tue, 20 Feb 2024 14:42:17 -0500 2024-03-05T12:00:00-05:00 2024-03-05T12:30:00-05:00 Duderstadt Center Michigan Institute for Computational Discovery and Engineering Workshop / Seminar MICDE Ph.D. Seminar Series: Lingfeng Luo
MICDE Ph.D. Student Seminar: Hannah Van Wyk and Musawer Ahmad Saqif (March 12, 2024 12:00pm) https://events.umich.edu/event/119127 119127-21842246@events.umich.edu Event Begins: Tuesday, March 12, 2024 12:00pm
Location: Duderstadt Center
Organized By: Michigan Institute for Computational Discovery and Engineering

Hannah Van Wyk will present her talk: Using a hidden markov model to pinpoint the date of the primary case in a dengue outbreak in rural Ecuador.

An infectious disease outbreak investigation typically consists of retrospectively determining information regarding the outbreak such as the timing of the primary case (the first case of the outbreak, whether detected or not) and transmission dynamics that occurred prior to the outbreak. However, information on the primary case is often hard to obtain, especially in scenarios where the disease has a high asymptomatic ratio. Using a hidden Markov model, we estimate the most likely date of the primary case of a dengue outbreak in a small community in northern coastal Ecuador.

*Bio*:
Hannah is a doctoral student in the Department of Epidemiology. Her research involves using mathematical models of infectious diseases to understand transmission dynamics. She has a background in mathematics and computer science at her undergraduate institution and a Master of Public Health in Epidemiology.

Musawer Ahmad Saqif will present his talk: Fracture and Collapse Simulation of UHPC Structures.

This presentation delves into the advanced simulation techniques for understanding the fracture and collapse behaviors of ultra-high performance concrete (UHPC) structures. Leveraging finite element modeling and experimental validation, the study elucidates the critical mechanical properties and failure mechanisms of UHPC under various conditions. Through a detailed investigation of microstructural characteristics and their impact on macroscopic performance, the research provides valuable insights into optimizing the design and resilience of UHPC structures against extreme loading scenarios. The findings contribute significantly to the field of civil engineering by enhancing the predictive capabilities for the structural integrity and durability of UHPC infrastructures.

*Bio*:
M. A. Saqif is a fifth year PhD student in Civil Engineering and Scientific Computing at the Computational Structural Simulation Lab. His research interest lies in fracture and collapse simulation of concrete structures.

*The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public.*

*If you have any questions, please email micde-events@umich.edu.*

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Workshop / Seminar Tue, 05 Mar 2024 14:55:12 -0500 2024-03-12T12:00:00-04:00 2024-03-12T13:00:00-04:00 Duderstadt Center Michigan Institute for Computational Discovery and Engineering Workshop / Seminar Hannah Van Wyk: Using a hidden markov model to pinpoint the date of the primary case in a dengue outbreak in rural Ecuador and Musawer Ahmad Saqif: Fracture and Collapse Simulation of UHPC Structures
The future of discovery in the age of human-AI collaboration (March 18, 2024 8:30am) https://events.umich.edu/event/115761 115761-21835473@events.umich.edu Event Begins: Monday, March 18, 2024 8:30am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

What does an AI-driven future look like?

Overview: Artificial Intelligence (AI) is transforming every aspect of our society and revolutionizing academic research. Powerful new systems like Generative AI unlocks enormous potential to accelerate research, “mass produce” human knowledge, and enable humans to address previously unfathomable scientific questions and engineering challenges. Meanwhile, such potential is still largely speculative and initial successes are still limited in scope. Massive adoption of AI in science and engineering will be possible only after addressing numerous issues, and building infrastructure and capacity.

In this symposium, we bring together leading thinkers and researchers around the country to share their vision and work, in four themes.

1) Speeding Up Research – using AI to automate and accelerate research, such as experimental design optimization and accelerating the workflow.

2) The Nature of Creativity in Research – the role of the AI Researcher and the new role of the Human Researcher.

3) Trusting the AI Researcher – Upholding research rigor in AI-driven research and ensuring the validation of AI-driven discoveries, and aligning AI-driven discoveries with human values.

4) Expanding the Limit of the Human Researcher– using AI to ask previously unfathomable questions in a number of research fields.

The intended audience are researchers, trainees and the general public to this event regardless of the specific fields of their research and the focus of their intellectual pursuit.

For more information on sessions and speakers, please visit our event page: https://midas.umich.edu/ai-se-annual-symposium/

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Lecture / Discussion Thu, 29 Feb 2024 17:39:57 -0500 2024-03-18T08:30:00-04:00 2024-03-18T16:20:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Lecture / Discussion The future of discovery in the age of human-AI collaboration
The future of discovery in the age of human-AI collaboration (March 19, 2024 9:00am) https://events.umich.edu/event/115761 115761-21835474@events.umich.edu Event Begins: Tuesday, March 19, 2024 9:00am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Data Science

What does an AI-driven future look like?

Overview: Artificial Intelligence (AI) is transforming every aspect of our society and revolutionizing academic research. Powerful new systems like Generative AI unlocks enormous potential to accelerate research, “mass produce” human knowledge, and enable humans to address previously unfathomable scientific questions and engineering challenges. Meanwhile, such potential is still largely speculative and initial successes are still limited in scope. Massive adoption of AI in science and engineering will be possible only after addressing numerous issues, and building infrastructure and capacity.

In this symposium, we bring together leading thinkers and researchers around the country to share their vision and work, in four themes.

1) Speeding Up Research – using AI to automate and accelerate research, such as experimental design optimization and accelerating the workflow.

2) The Nature of Creativity in Research – the role of the AI Researcher and the new role of the Human Researcher.

3) Trusting the AI Researcher – Upholding research rigor in AI-driven research and ensuring the validation of AI-driven discoveries, and aligning AI-driven discoveries with human values.

4) Expanding the Limit of the Human Researcher– using AI to ask previously unfathomable questions in a number of research fields.

The intended audience are researchers, trainees and the general public to this event regardless of the specific fields of their research and the focus of their intellectual pursuit.

For more information on sessions and speakers, please visit our event page: https://midas.umich.edu/ai-se-annual-symposium/

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Lecture / Discussion Thu, 29 Feb 2024 17:39:57 -0500 2024-03-19T09:00:00-04:00 2024-03-19T16:20:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Data Science Lecture / Discussion The future of discovery in the age of human-AI collaboration
SciFM24 Conference (April 2, 2024 9:00am) https://events.umich.edu/event/117125 117125-21838709@events.umich.edu Event Begins: Tuesday, April 2, 2024 9:00am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Computational Discovery and Engineering

This event is the first of its kind, dedicated to scientific foundation models (SciFM), that are set to revolutionize science in the same way Generative AI has transformed natural language.

This two-day conference will bring together some of the most renowned experts from the field of scientific foundation models who will share their insights and knowledge on various topics related to this field. The event will also feature engaging panel discussions, informative workshops, and a poster competition, providing attendees, with ample opportunities to learn, network, and engage.

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Conference / Symposium Thu, 01 Feb 2024 09:46:12 -0500 2024-04-02T09:00:00-04:00 2024-04-02T17:00:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Computational Discovery and Engineering Conference / Symposium MICDE SciFM24 Conference
SciFM24 Conference (April 3, 2024 9:00am) https://events.umich.edu/event/117125 117125-21838710@events.umich.edu Event Begins: Wednesday, April 3, 2024 9:00am
Location: Rackham Graduate School (Horace H.)
Organized By: Michigan Institute for Computational Discovery and Engineering

This event is the first of its kind, dedicated to scientific foundation models (SciFM), that are set to revolutionize science in the same way Generative AI has transformed natural language.

This two-day conference will bring together some of the most renowned experts from the field of scientific foundation models who will share their insights and knowledge on various topics related to this field. The event will also feature engaging panel discussions, informative workshops, and a poster competition, providing attendees, with ample opportunities to learn, network, and engage.

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Conference / Symposium Thu, 01 Feb 2024 09:46:12 -0500 2024-04-03T09:00:00-04:00 2024-04-03T17:00:00-04:00 Rackham Graduate School (Horace H.) Michigan Institute for Computational Discovery and Engineering Conference / Symposium MICDE SciFM24 Conference
MICDE Ph.D. Student Seminar: Jeffrey Hatch and Jiadong Chen (April 9, 2024 12:00pm) https://events.umich.edu/event/119128 119128-21842247@events.umich.edu Event Begins: Tuesday, April 9, 2024 12:00pm
Location: Duderstadt Center
Organized By: Michigan Institute for Computational Discovery and Engineering

Jiadong Chen: High dimensional phase diagrams: Engineering relative stability in 4-dimensions

Sequential learning algorithms based on Bayesian optimization are routinely being deployed for materials stability optimization in high-parameter spaces. We anticipate these optimization methods would perform better if they were built upon stronger priors, for example, as derived from the fundamental thermodynamics underlying the equilibrium behavior of materials. Here, we present a thermodynamics-based technique to optimize the relative stability of a materials in high-dimensional thermodynamic space, based on a new derivation of a generalized high-dimensional Clausius Clapeyron relation. Using this thermodynamic infrastructure, we design several pathways to enhance the relative acid stability of Mn-oxides versus its dissolved states for potential electrochemical catalyst application. We construct a 4-D Pourbaix diagram with pH, redox potential E, particle radius 1/R and a chemical potential μK as axis. By exploring the gradients of the high-dimensional phase boundaries, we derive first-principles insights that nano-sizing (1/R) and certain doping ions (μK) can stabilize some metastable Mn-oxides polymorphs, where 1/R decreases acid stability and μK increases it. Our high-dimensional thermodynamic framework is a general method to engineer relative stability in parameter spaces that leverage multiple forms of thermodynamic work.

*Bio:*
Jiadong Chen is a 5th year PhD in materials science and engineering department, Wenhao Sun group, focusing on use computational and data-driven methods to predict materials stability and synthesis recipes.

Jeffrey Hatch will present his talk: Computational Methods in Chemistry.

*The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public.

If you have any questions, please email micde-events@umich.edu.*

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Workshop / Seminar Tue, 20 Feb 2024 14:43:30 -0500 2024-04-09T12:00:00-04:00 2024-04-09T13:00:00-04:00 Duderstadt Center Michigan Institute for Computational Discovery and Engineering Workshop / Seminar Jeffrey Hatch: Computational Methods in Chemistry and Jiadong Chen: High dimensional phase diagrams: Engineering relative stability in 4-dimensions
MICDE Ph.D. Student Seminar: Anna Halstenbach and Katie Nissen (April 16, 2024 12:00pm) https://events.umich.edu/event/119129 119129-21842248@events.umich.edu Event Begins: Tuesday, April 16, 2024 12:00pm
Location: Duderstadt Center
Organized By: Michigan Institute for Computational Discovery and Engineering

Anna Halstenbach will present "Uncovering the network of political parties' event sponsors in Germany". Katie Nissen will present "Climate Change Protests and Gender: The Influence of Role Incongruence on Support for Social Movements".

The MICDE PhD Student Seminar Series showcases the research of students in the Ph.D. in Scientific Computing. These events are open to the public.

If you have any questions, please email micde-events@umich.edu.

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Workshop / Seminar Tue, 20 Feb 2024 14:43:58 -0500 2024-04-16T12:00:00-04:00 2024-04-16T13:00:00-04:00 Duderstadt Center Michigan Institute for Computational Discovery and Engineering Workshop / Seminar Anna Halstenbach: Uncovering the network of political parties' event sponsors in Germany and Katie Nissen: Climate Change Protests and Gender: The Influence of Role Incongruence on Support for Social Movements