NOVEMBER 15, 2016
RACKHAM BUILDING, 915 E. WASHINGTON ST., ANN ARBOR
Videos: https://www.youtube.com/playlist?list=PL9HOpoYAfA-wP7xaQbXGokcZX0ZRUeOFo
8 a.m. — Registration / Coffee
8:30 a.m. — Welcome, Eric Michielssen, Associate Vice President, Advanced Research Computing
8:40 a.m. — MIDAS: The Year in Review, Co-Directors Al Hero and Brian Athey
9:15 a.m. — KEYNOTE: Robert Groves, Georgetown University
10:15 a.m. — Panel: Big Data, An International Perspective
This panel, moderated by Al Hero, will bring together data scientists from around the world to address a global point of view on the advancements and potential new applications of data science. Each panelist will speak for approximately 25 minutes before a panel discussion.
Noon — Refreshments, Poster Session
1:30 p.m. — Panel: Data Science Methodologies
This panel will address a variety of methodological topics in data science, from the perspectives of social science, transportation, and learning analytics. Each panelist will speak for approximately 25 minutes before a panel discussion.
3:15 p.m. — Panel: Data Science in Health Research
This panel will address data science in health research through the prisms of bioengineering, biostatistics, and genomics.
5 p.m. — Poster Session
The poster session will feature the research of MIDAS Affiliated Faculty, students enrolled in the Data Science Graduate Certificate Program, other U-M researchers involved in data science, and industry partners. Please note: the poster session will take place in the Michigan League.
NOVEMBER 16, 2016
MICHIGAN LEAGUE, 911 N. UNIVERSITY AVE., ANN ARBOR
Livestream link: goo.gl/9AiJbw
8 a.m. — Registration / Coffee
8:30 a.m. — KEYNOTE: Sudip Bhattacharjee, U.S. Census Bureau
9:30 a.m. — Panel: Data Science in the Social Sciences
This panel will address issues in data science in the social sciences, including political science, communications, and marketing. Each panelist will speak for 25 minutes, followed by a panel discussion.
11:45 a.m. — Refreshments, Poster Session
1:15 p.m. — Panel: Data Science in Transportation
This panel, moderated by Al Hero, will describe two projects in transportation from U-M researchers supported by MIDAS Challenge Initiative funding, and include a presentation from the Chinese carshare service Didi Chuxing. Each panelist will speak for 25 minutes; a discussion will follow.
3:15 p.m. — Panel: Data Science in Learning Analytics
This panel, moderated by Henry Kelly, MIDAS industry liaison, will describe several data science projects going on at U-M in the field of learning analytics, including two projects receiving support through the MIDAS Challenge Initiatives. Each panelist will speak for 25 minutes, followed by a discussion.