The Future of Data Science: A Convergence of Academia, Industry, and Government, 6th October …

8:30am Welcome and Opening Remarks presented by S. Jack Hu and Martha E. Pollack 8:45am Overview, Data Science Initiative presented by Eric Michielssen 9:00am Overview, Michigan Institute for Data Science presented by Brian D. Athey and Alfred O. Hero 9:20am Machine Learning for Data Science presented by Robert Nowak 9:45am Learning Treatment Policies in Mobile Health presented by Susan Murphy 10:15am At the Intersection of Data Science and Language presented by Kathleen McKeown 10:40am Introduction, MIDAS Education and Training Program presented by Ivo Dinov 11:05am Cutting-edge Methods in Distributed Computing to Characterize Customer Usage Patterns presented by Erin Shellman 11:25am Economic Implications of Data Science: Past, Present and Future presented by Patrick Harrington 11:45am Focusing on the Inputs for the Data Sciences presented by Nandit Soparkar 1:30pm Privacy and Reproducibility…


Link to Full Article: The Future of Data Science: A Convergence of Academia, Industry, and Government, 6th October …

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