Four town hall meetings were held on Oct. 21, Oct. 22, Nov. 10 and Nov. 17 regarding the MIDAS Round 1 Funding Opportunities. The following presentations were made:
About the MIDAS Challenge Solicitation
- Introduction to MIDAS RFPs – Brian Athey & Al Hero, MIDAS Co-Directors
- MIDAS RFP Update – Brian Athey & Al Hero, MIDAS Co-Directors
Potential Industry Partners
- Potential Industry Partners – Transportation – Carrie Morton, Managing Director, Mobility Transformation Center (MTC)
- Working with the Learning Analytics Industry – Perry Samson, Climate and Space Sciences and Engineering
Available Data Science Services and Infrastructure
- Data Science Services – Kerby Shedden, Director, Consulting for Statistics, Computing, and Analytics Research
- Data Science Infrastructure – Brock Palen, Associate Director, Advanced Research Computing Technology Services
Data Sets
- Transportation Data Sources and Opportunities – Carol Flannagan, Interim Director, UM Transportation Research Institute (UMTRI)
- Teaching, Learning, and Education Datasets at the University of Michigan – Chris Brooks, School of Information, Digital Education & Innovation
Learning Analytics
- Predicting Academic Success of Students – Chris Brooks, School of Information, Digital Education & Innovation
- Academic Reporting Tools – Gus Evrard, Physics, Astronomy
- Learning Analytics: Working in Pasteur’s Quadrant – Stephanie Teasley, School of Information, Digital Education & Innovation
- Visualization of learning analytics, student course evaluations – Mika Lavaque-Manty, Political Science, Philosophy
Transportation
- Data Science in Practice: Developing a Real-time Prediction Model of Driver Behavior at Intersections Using Kinematic Time Series Data – Michael Elliott, Biostatistics
- Transportation Data Sources and Opportunities – Carol Flannagan, U-M Transportation Research Institute
- Intelligent Trip Modeling for Prediction of Origin-Destination Traveling Speed Profile – Yi L. Murphey, Electrical and Computer Engineering, Dearborn
- The Post-Autonomy Future – Edwin Olson, Computer Science and Engineering
Methodology