There will be a small, pilot interdisciplinary graduate summer school on the Challenges of Big Data from August 13-17 at the University of Pittsburgh. They will accept between 12 and 20 science, philosophy, and history and philosophy of science graduate students from the University of Pittsburgh and Carnegie Mellon University. The goal is to provide guidance and experience in interdisciplinary engagement, encompassing historical, philosophical and scientific perspectives. They will discuss challenges that big data generate, such as quantity vs. quality of big data, managing privacy and application, transparency and bias in the analysis of big data, and how to write from and for different disciplines. Following the group discussion each morning, students will divide into small groups to collaborate in writing a perspective-style article on some aspect of big data. They will meet from 10 am to 4 pm each day, concluding with a dinner on Friday, August 17.
• Michael J. Becich, Department of Biomedical Informatics, School of Medicine
• Lillian Chong, Department of Chemistry
• David Danks, Department of Philosophy, Carnegie Mellon University
• Angela Gronenborn, Department of Structural Biology
• Sandra Mitchell, Department of History and Philosophy of Science
How To Apply:
To apply, email the following information to email@example.com (Teresa Brosenitsch) by May 1, 2018.
Area of Research
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