Summer Academies

MIDAS Summer Academies & Workshops

Our summer academies equip researchers with the essential skills required to apply advanced data science techniques to their respective fields of study and integrate these methodologies into their grant proposals. The overarching objective of these academies is to foster a research community that can drive the advancement of data science applications in a wide range of research fields.

For questions about the summer academies, please reach out to Kelly Psilidis (psilidis@umich.edu), MIDAS Faculty Training Program Manager.

Upcoming Events

There are currently no upcoming events.

Past Summer Academies

Summer Academy

MIDAS-ICPSR Social Data Science Summer Academy 2024

August 12, 2024 8:30 am
August 16, 2024 5:30 pm

Summer Academy

Biomedical Data Science Summer Academy 2024

July 8, 2024 8:00 am
July 12, 2024 3:30 am

Summer Academy

Introduction to Data Science and AI Summer Academy 2024

June 3, 2024 8:30 am
June 7, 2024 4:30 pm

Summer Academy

AI in Science and Engineering Summer Academy 2023

August 10, 2023 8:30 am
August 11, 2023 4:45 pm

Summer Academy

Environmental Data Science Summer Academy 2023

July 31, 2023 8:30 am
August 2, 2023 4:30 pm

Summer Academy

Biomedical Data Science Summer Academy 2023

July 10, 2023 7:00 am
July 14, 2023 3:00 pm

There are currently no upcoming events.

Other Workshops

  • Natural Language Processing Workshops (Autumn 2022)
  • Mini-workshops at our 2020 and 2021 symposia
  • Together Owkin: federated learning in healthcare research workshop (Dec. 2020)
  • Nvidia (Sept. 2020)
  • DataBricks workshop: Introduction to Apache Spark (June 18; Aug. 20, 2020)
  • Amazon (AWS) workshops (June and July, 2020)
  • CSCAR – MIDAS joint workshops: analytics of major datasets (Feb. to June 2020)
  • Amazon and Google workshops during (2019 symposium)

Curriculum Committee

Chris Brooks

Research Assistant Professor, School of Information Director, Learning Analytics and Research in the Office of Digital Education & Innovation

Walter Dempsey

Assistant Professor of Biostatistics, Assistant Research Professor at the Institute of Social Research, Department of Biostatistics

Elle O’Brien

Lecturer III; Research Investigator, School of Information

Kerby Shedden

Professor, Statistics, LSA, Biostatistics, School of Public HealthDirector of Consulting for Statistics, Computing, and Analytics Research (CSCAR)