03/13/2020: Qianying Lin, MIDAS Data Science Fellow, COVID-19 Outbreak in Wuhan, China: in Retrospect and in Prospect (View Recording)

04/30/2020: Siqian Shen, Associate Professor, Industrial and Operations Engineering, University of Michigan: From Data to Actions, From Observations to Solutions — A Summary of Operations Research and Industrial Engineering Tools for Fighting COVID-19 (View Recording)

05/06/2020: Bhramar Mukherjee (John D. Kalbfleisch Collegiate Professor and Chair, Biostatistics, University of Michigan), Rupam Bhattacharyya (graduate student, School of Public Health, University of Michigan), Maxwell Salvatore (School of Public Health, University of Michigan), Debashree Ray (Assistant Professor, Epidemiology, Johsn Hopkins University): Predictions, Role of Interventions and the Crisis of Virus in India: Data Science Call to Arms(View Recording)

05/14/2020: Jon Zelner, Assistant Professor, Epidemiology, University of Michigan: Predicting COVID-19 Transmission (View Recording)

05/20/2020: Karandeep Singh, Assistant Professor, Learning Health Sciences and Medicine, University of Michigan: Predictive modeling for the identification of high- and low-risk for complications among COVID-19 patients (View Recording)

6/3/2020: Veera Baladandayuthapani, Professor of Biostatistics, University of Michigan & Zhenke Wu, Assistant Professor of Biostatistics, University of Michigan: Informing an Approach to India’s Recovery (View Recording)

6/10/2020: Rada Mihalcea, Professor, EECS, College of Engineering, University of Michigan: Life during COVID-19: a Billion-word Story as Told by a Natural Language Processing Researcher

6/17/2020: Holly Hartman, PHD Candidate, Biostatistics, University of Michigan & Jack Griffin, Founder/CEO, FoodFinder, University of Michigan Alum: Using Data for Good in the Age of COVID-19 (View Recording)

6/24/2020: Scott Van Epps, Assistant Professor, Emergency Medicine, University of Michigan: The perils and promise of machine learning for life-threatening infection (View Recording)

7/8/2020: Wayne Wang, Al Hero, & Walter Dempsey –A scalable tool for longitudinal Twitter analysis: understanding the impact of COVID-19 on public discourse (View Recording)

7/15/2020: Daniel Forger, Professor, Computational Medicine, Bioinformatics, and Mathematics, University of Michigan: A mobile/wearable platform for collecting data on sleep and circadian rhythms in the time of COVID (View Recording)