Tag

MIDAS Challenge Teams

MIDAS Learning Analytics Challenge Symposium

By |

Learning analytics is one of the research focus areas that MIDAS supports with its Challenge Awards.  Our long-term goal is to support this research area more broadly, using the Challenge Award projects as the starting point to build a critical mass.  This symposium offers a platform for all participants to explore collaboration opportunities and aims to attract more researchers to our hub.  It will feature in-depth presentations from two Challenge Award teams, and all participants are encouraged to submit posters on research related to Learning Analytics.

Agenda

9 am to 11:30 am: Welcome and Challenge Award presentations

11:30 am to 1 pm: Lunch, Poster Session, Networking [poster dimensions: up to 6ft wide X 4ft height]

1 to 2 pm: Panel discussion: The Future of Data Science for Learning Analytics at U-M

Panelists:

  • Steve DesJardins, Education, Public Policy
  • Cynthia Finelli, Engineering Education Research Program
  • Al Hero (Moderator), MIDAS, Electrical Engineering and Computer Science
  • Rada Mihalcea, Computer Science Engineering
  • Stephanie Teasley, Information

 

Please register online.  Please submit poster abstracts (< 300 words).  Submission Deadline: May 15.

For questions: midas-research@umich.edu.

Recommended Visitor Parking:  Palmer Parking StructurePalmer Drive, Ann Arbor

MIDAS Data Science for Transportation Research Challenge Symposium

By |

Data Science for Transportation is one of the research focus areas that MIDAS supports with its Challenge Awards.  Our long-term goal is to support this research area more broadly, using the Challenge Award projects as the starting point to build a critical mass.  This symposium offers a platform for all participants to explore collaboration opportunities and aims to attract more researchers to our hub.  It will feature in-depth presentations from two Challenge Award teams, and all participants are encouraged to submit posters on research related to Data Science for Transportation.

Agenda

10:30 am to 10:45 am: Welcome and Introductions, MIDAS Co-Director Al Hero

10:45 am to 12:00 pm: Building a Transportation Data Ecosystem, Carol Flannagan and team

12:00 to 1 pm: Lunch, Poster Session, Networking

1 to 2:00 pm: Reinventing Public Urban Transportation and Mobility, Pascal Van Hentenryck

2 to 3 pm: Panel discussion: The Future of Data Science for Transportation at U-M.

Panelists:

  • Clive D’Souza, Industrial and Operations Engineering
  • Carol Flannagan, U-M Transportation Research Institute
  • Al Hero (Moderator), MIDAS, Electrical Engineering and Computer Science
  • Dave LeBlanc, U-M Transportation Research Institute
  • Pascal Van Hentenryck, Industrial and Operations Engineering

 

Please register online.  Please submit poster abstracts (< 300 words).  Submission Deadline: April 30.

For questions: midas-research@umich.edu.

Recommended Visitor Parking:  Palmer Parking Structure, Palmer Drive, Ann Arbor