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Speakers and PresentersFrancine Berman
Digital data drives innovation in all areas. Yet for data to be useful to us, it must exist in a technical and social ecosystem that enables us to find it efficiently, utilize it effectively, preserve it for future work, and ensure its integrity. How do we develop a data ecosystem that ensures that we get the most out of data? What are the challenges as boundaries between technology, biology, and the natural world become blurred and applications become more complex? In this talk, Fran Berman will discuss the data ecosystem and its challenges and opportunities now and for the future. Francine Berman is the Edward P. Hamilton Distinguished Professor in Computer Science at Rensselaer Polytechnic Institute. She is a Fellow of the Association of Computing Machinery (ACM), a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), and a Fellow of the American Association for the Advancement of Science (AAAS). In 2009, Dr. Berman was the inaugural recipient of the ACM/IEEE-CS Ken Kennedy Award for "influential leadership in the design, development, and deployment of national-scale cyberinfrastructure." In 2015, Dr. Berman was nominated by President Obama and confirmed by the U.S. Senate to become a member of the National Council on the Humanities. Dr. Berman is U.S. lead of the Research Data Alliance (RDA), a community-driven international organization created to accelerate research data sharing world-wide, through the development and adoption of technical, organizational and social infrastructure needed to support data-driven innovation. Since 2012, she has served as Chair of RDA/US (all U.S. members of RDA) and Co-Chair of RDA's international leadership Council. She currently also co-leads the Stewardship Gap Project with Myron Gutmann. Previously, Dr. Berman served as Director of the San Diego Supercomputer Center from 2001 to 2009 and as Vice President for Research at Rensselaer Polytechnic Institute from 2009-2012.
Daniel Sui
Panel: Is GIScience up to the challenges of a smart and connected world?Budhendra L. Bhaduri![]()
Mark Dowd Vanessa Frias-MartinezVanessa Frias-Martinez is an assistant professor in the iSchool at the University of Maryland. She is interested in urban computing, with a focus on the intersection between big data and social development. She combines data mining and machine learning techniques to extract socially significant information from the digital traces of mobile and ubiquitous technologies. Vanessa received her M.Sc. and Ph.D. degrees in Computer Science from Columbia University. From 2009 to 2013, she was a researcher in the Data Mining and User Modeling Group at Telefonica Research in Madrid, Spain.
David Wollman
Panel: Industry & Government: Partnerships with Academia
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