MENU
Search
EECS
EECS
Computer Science and Engineering
CSE
Electrical and Computer Engineering
ECE
Search
About
Welcome to CSE
By the Numbers
Advisory Board
History
Faculty Hiring
Giving
Visit
Bob and Betty Beyster Building
Leinweber Computer Science and Information Building ↗
Emergency and Safety Info
Resources
Contact
Community
Our Values: HACKS
Community News
Are You New to CS?
Resources for Student Support and Inclusion
Student Groups and Teams
CSE Action Plan
DEI and Climate ↗
Reporting Concerns and Misconduct
Academics
Graduate Programs & Admissions
Undergraduate Programs & Admissions
For Current Students
Course Information
Undergrad Research Opportunities
Research
Research Areas
Labs & Centers
Tech Transfer & Startups
Industrial Relations
Reports & Publications
People
Faculty
PhD Students
Postdocs
Staff
Alumni
Honors and Awards
Hire Our PhDs and Postdocs
News
Events
Events
All Seminars
—
Artificial Intelligence Seminars
Computer Engineering Seminars
Interactive Systems Seminars
Systems Seminars
Theory Seminars
Diversity in Computing Seminars
Michigan Institute for Data Science (MIDAS) Seminars
Other Seminars
Dissertation Defenses
Student Events
Distinguished Lectures
+
CSE Distinguished Lecture Series
William Gould Dow Distinguished Lectureship
+
About the Dow Lectureship
Tanner Lecture Series
Other Events
College of Engineering Event Calendar
University of Michigan Event Calendar
Home
>
Events
>
All Seminars
>
Michigan Institute for Data Science (MIDAS)
MIDAS Seminars
There are no events currently scheduled.
Past Seminars
DEC
13
2021
MIDAS Seminar | Women in Computing | Alumni
Beyond the First Portrait of a Black Hole
Katie Bouman, Assistant Professor, Computing and Mathematical Sciences, Caltech
4:00pm – 5:00pm in Remote/Virtual
DEC
06
2021
MIDAS Seminar | Women in Computing
Race-Aware Algorithms: Fairness, Nondiscrimination, and Affirmative Action
Pauline Kim, Daniel Noyes Professor of Law, Washington University in St. Louis, School of Law
4:00pm – 5:00pm in Remote/Virtual
NOV
29
2021
MIDAS Seminar
Lecture by Yong Chen
Yong Chen, Associate Professor, Biostatistics, University of Pennsylvania
4:00pm – 5:00pm in Remote/Virtual
NOV
22
2021
Distinguished Lecture | MIDAS Seminar | Women in Computing
Towards Usability, Transparency, and Trust for Data-Driven Discovery
Juliana Freire, Professor, Computer Science and Data Science, New York University
4:00pm – 5:00pm in 140 Lorch Hall
NOV
01
2021
MIDAS Seminar | Women in Computing
Towards robust, interpretable, and fair social and public health interventions
Phebe Vayanos, WiSE Gabilan Assistant Professor of Industrial & Systems Engineering and Computer Science, University of Southern California
4:00pm – 5:00pm in Remote/Virtual
OCT
25
2021
MIDAS Seminar
Explainability for Neural Text Classifiers
Tarun Joshi, Financial Services Director, Wells Fargo
4:00pm – 5:00pm in Remote/Virtual
OCT
11
2021
MIDAS Seminar
Lecture by Mahlet (Milly) Zimeta
Mahlet (Milly) Zimeta, Head of Public Policy, Open Data Institute
4:00pm – 5:00pm in Remote/Virtual
OCT
04
2021
MIDAS Seminar | Women in Computing
Supervised Machine Learning: Applications, Opportunities, and Challenges in Banking with a Focus on Interpretability
Jie Chen & Linwei Hu
4:00pm – 5:00pm in Remote/Virtual
SEP
27
2021
MIDAS Seminar
AI for Sustainable Development
Stefano Ermon, Assistant Professor, Computer Science, Stanford University
4:00pm – 5:00pm in Remote/Virtual
NOV
10
2020
MIDAS Seminar
U-M Data Science Annual Symposium 2020
With Prof. David Fouhey and Prof. Jason Corso
9:00am – 5:00pm in Remote/Virtual
SEP
28
2020
MIDAS Seminar
Data Science and Politics
David Shor, SuperPAC Data Scientist, Democratic Consultant
8:00am – 5:00pm
SEP
14
2020
MIDAS Seminar
MIDAS Reproducibility Day
2:00pm – 5:00pm
AUG
31
2020
MIDAS Seminar
Beyond Algorithmic Fairness: What Social Justice Needs from Data Science
Kentaro Toyama, Professor of Community Information, Professor of Information, School of Information, University of Michigan
4:00pm – 5:00pm
AUG
04
2020
MIDAS Seminar
MIDAS Reproducibility Challenge Showcase
Chris Brooks, Assistant Professor of Information – School of Information, University of Michigan
1:00pm – 2:00pm
JUL
29
2020
MIDAS Seminar
“Is AI Racist?”
Dr. Jagadish and Other Experts, Professor, Electrical Engineering and Computer Science , Director of the Michigan Institute for Data Science
4:30pm – 5:30pm
JUL
28
2020
MIDAS Seminar
MIDAS Reproducibility Challenge Showcase: #6
Sharon Glotzer, Professor, Chemical Engineering and Materials Science & Engineering, U-M
1:00pm – 2:00pm
JUL
28
2020
MIDAS Seminar
MIDAS Reproducibility Challenge Showcase: Sharon Glotzer – An Open Software Approach for Reproducible Research for Materials Design
SHARON GLOTZER, Professor – Chemical Engineering and Materials Science and Engineering, University of Michigan
1:00pm – 2:00pm
JUL
21
2020
MIDAS Seminar
MIDAS Reproducibility Challenge Showcase: #5
John Silberholz & Nigel Michki, Associate Professor, Technology & Operations, U-M & Doctoral student, Biophysics, U-M
1:00pm – 2:00pm
JUL
15
2020
MIDAS Seminar
A Mobile/wearable Platform for Collecting Data on Sleep and Circadian Rhythms in the Time of COVID
Danny Forger, Professor of Computational Medicine, Bioinformatics, & Mathematics, U-M, University of Michigan
1:00pm – 2:00pm
JUL
08
2020
MIDAS Seminar
A Scalable Tool for Longitudinal Twitter Analysis
Al Hero & Walter Dempsey, Professor, EECS & Engineering, U-M & Assistant Professor, School of Public Health, UM, University of Michigan
1:00pm – 2:00pm
APR
16
2020
MIDAS Seminar | Student Event
A Data Scientist Plays Games
Nick Berry, Data Scientist, Formerly with Microsoft, GameHouse, and Facebook
12:00pm – 1:30pm in Remote/Virtual
FEB
24
2020
MIDAS Seminar
Is It Possible to Democratize AI for Business
Jen Stirrup, Regional Director
3:30pm – 4:30pm in 340 West Hall
FEB
17
2020
MIDAS Seminar
How Language Makes Us Smart (Without Big Data)
Charles Yang, Director
3:30pm – 4:30pm in 340 West Hall
DEC
02
2019
MIDAS Seminar
Word Embeddings: What Works, What Doesn’t, and How to Tell the Difference for Applied Research
Arthur Spirling, Deputy Director,, Center for Data Science, New York University
3:30pm – 4:30pm in 340 West Hall
NOV
25
2019
MIDAS Seminar
Bias in Search and Recommenders Systems
Ricardo Baeza-Yates, CTO, NTENT Director, Data Science Programs,, Northeastern University, Silicon Valley Campus
3:30pm – 4:30pm in Weiser Hall
Show All Past Events
About
Welcome to CSE
By the Numbers
Advisory Board
History
Faculty Hiring
Giving
Visit
Bob and Betty Beyster Building
Leinweber Computer Science and Information Building ↗
Emergency and Safety Info
Resources
Contact
Community
Our Values: HACKS
Community News
Are You New to CS?
Resources for Student Support and Inclusion
Student Groups and Teams
CSE Action Plan
DEI and Climate ↗
Reporting Concerns and Misconduct
Academics
Graduate Programs & Admissions
Undergraduate Programs & Admissions
For Current Students
Course Information
Undergrad Research Opportunities
Research
Research Areas
Labs & Centers
Tech Transfer & Startups
Industrial Relations
Reports & Publications
People
Faculty
PhD Students
Postdocs
Staff
Alumni
Honors and Awards
Hire Our PhDs and Postdocs
News
Events