MIDAS Data science symposium

Dear Colleagues,

We warmly invite you to attend the 2018 MIDAS Annual Symposium, titled “Serving Society through Data Science,” to be held October 8-9 at the Rackham Building. The lineup of speakers has been set, and we are excited to bring several preeminent data scientists to Ann Arbor. Several U-M faculty members and students from across campus will also present their high-impact data science research. And nearly 90 posters will be presented at the poster session and student competition

Registration | Detailed Schedule

FEATURED SPEAKERS

• “Big Data in Manufacturing Systems with Internet-of-Things Connectivity” 
  Dawn Tilbury, Professor, Mechanical Engineering and Electrical Engineering and Computer Science, University of Michigan.
• “Big (Network) Data: Challenges and Opportunities for Data Science”
  Patrick Wolfe, Frederick L. Hovde Dean of Science, Purdue University.
• “The Data Science Expert in the Room”
  Katherine Ensor, Director, Center for Computational Finance and Economic Systems (CoFES), Rice University.
• “The Elements of Translational Data Science”
  Raghu Machiraju, Interim Director, Translational Data Analytics Institute, The Ohio State University

U-M RESEARCH TALKS

• A Network Analysis Approach to Regional Input Output MultipliersTayo Fabusuyi, Post-Doc, U-M Transportation Research Institute
• A Minimalist Approach to Computation in MusicSomangshu Mukherji, Assistant Professor, School of Music, Theater and Dance
• Survey Equivalence: An Information-theoretic Measure of Classifier Accuracy When the Ground Truth is SubjectivePaul Resnick, Professor and Associate Dean for Research and Faculty Affairs, School of Information
• Fundamental Limits of Exact Support Recovery in High DimensionsZheng Gao, Graduate Student, Statistics
• Active Remediation: The Search for Lead Pipes in Flint, MichiganEric Schwartz, Assistant Professor of Marketing, Ross School of Business
• State Innovation Model: Towards a Learning Health System to Reduce Emergency Department Visits in Livingston and Washtenaw CountyKarandeep Singh, Assistant Professor of Learning Health Sciences, Internal Medicine, and School of Information
• Network Structure, Efficiency, and Performance in WikiProjectsEdward Platt, Graduate Student, School of Information
• Mining Students’ In- and Out-of-Class behaviors to Create Earlier Warning SystemSungjin Nam, Graduate Student, School of Information and College of Engineering
• Multiclass Meta-learningSalimeh Yasaei Sekeh, Post-Doc, College of Engineering
• What is Bitcoin? Exploration, Exploitation, and the Emergence of the Cryptocurrency CategoryLynette Shaw, Assistant Professor, Complex Systems
• Predicting Bicyclist Destination and Route by Link Using Large Scale GPS Based Naturalistic Bicycling DataYuting Wu, Undergraduate, U-M Transportation Research Institute and School of Information
• Systems-level Analysis of a Cytokine-induced Cell Cycle using Dynamic Metabolic Network ModelingHo-Joon Lee, Research Investigator, Molecular and Integrative Physiology

OTHER EVENTS

• A poster session and student poster competition consisting of approximately 90 posters 
• Industry perspectives on data science and social good:
  Moderator: Karen Fireman
  Panelists: James Carson, Data Science Team Leader, Quicken Loans; David Corliss, American Statistical Association columnist, founder of Peace-Work; Raj Dhanasri, Senior Manager, Deloitte Digital; Paul McCarthy, Analytics Manager, Ford Motor Company; Michael Schneiderhan, Director of Information Technology - Analytics Services, Wacker Chemical.

Registration | Detailed Schedule

We hope you can join us for what promises to be an exciting and informative two days.

Regards,

-The MIDAS Team