Data Science Faculty Networking Social

By |

MIDAS is starting a series of networking sessions for affiliate faculty, especially junior faculty.  We hope these events strengthen our data science community, and spark conversations that will lead to collaboration and exciting new research.

The first session will be on Thursday, March 12.  Refreshments will be provided.

What to expect:

  • Short research presentations (up to 3 minutes per person).

  • Free-form networking time.

  • Request for input on how MIDAS can better support your research.

Please sign up and indicate whether you’d like to give a presentation.  We welcome all MIDAS faculty, but especially junior faculty.  Please also feel free to pass along the invitation to your colleagues who may be thinking about joining MIDAS. 

Learning Health Systems Symposium

By |

Ethical, Legal and Social Implications of Learning Health Systems

Registration Required

Join us for our 3nd annual symposium and workshop on the ethical, legal and social implications of learning health systems (ELSI-LHS).

This year’s focus will be on use cases and lessons learned from emerging learning health systems and their enabling technologies locally, in the state of Michigan, and across the US to address chronic diseases such as cancer. Special emphasis will be placed on themes and issues arising in previous symposia such as trust, systems ethics, and equity.

Speakers include: Michelle Meyers, Jeremy Sugarman, Shawneequa Callier, Kirsten Ostherr, Anya Prince, David Magnus, and more to come!