COVID-19 Data Science Research Special Webinar Series

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

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

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

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

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

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

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

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