2017 U-M Data Science Research Forum

Forum Highlights

• Oral and poster presentations on
  • Theoretical foundations of data science
  • Data science methodology
  • Data science applications in any research domain
  • Social impact of data science research

• How to engage industry workshop
  • Adrian Fortino, Partner (Mercury Fund)
  • Mike Psarouthakis, Director (U-M Venture Center)
  • Kevyn Collins-Thompson, Associate Professor, U-M School of Information
  • Mike Cafarella, Associate Professor, U-M Computer Science Engineering

• Keynote by Chris Rozell

• Networking Reception

All presentations will come from submissions in response to our call for abstracts
Abstract Submission Deadline: October 23, 2017
We welcome submission from all U-M data science researchers (faculty, staff, trainees)

Please register for this event.  Please also see the call for abstracts for instruction, and submit through the Abstract Submission Form.

Preliminary Schedule