{"id":197232,"date":"2016-11-08T09:26:05","date_gmt":"2016-11-08T14:26:05","guid":{"rendered":"http:\/\/www.rochester.edu\/newscenter\/?p=197232"},"modified":"2016-11-08T16:40:37","modified_gmt":"2016-11-08T21:40:37","slug":"round-table-explores-opportunities-for-data-science-collaboration-197232","status":"publish","type":"post","link":"https:\/\/www.rochester.edu\/newscenter\/round-table-explores-opportunities-for-data-science-collaboration-197232\/","title":{"rendered":"Round table explores opportunities for data science collaboration"},"content":{"rendered":"

 <\/p>\n

A data science round table brought representatives from a dozen industries to the Ä¢¹½´«Ã½ last week to explore opportunities for collaboration.<\/p>\n

Rob Clark, the University provost and senior vice president for research, described the round table as a \u201cframing discussion\u201d about how the University\u2019s data science resources \u201ccan best serve the Rochester community and raise all our opportunities in the process.\u201d<\/p>\n

The round table began with an overview of the University\u2019s data science resources and programs by Henry Kautz, the Robin and Tim Wentworth Director of the Goergen Institute for Data Science<\/a>.<\/p>\n

Much of the discussion involved how cooperation between industry and the University could help address such issues as soaring health care costs, the challenges involved in sharing data, and finding ways to retain graduates with computational skills in upstate New York.<\/p>\n

\"portraits
Walt Johnson, vice president and director of PARC East at Xerox; Heather Urbanek, enterprise information architect at Corning Inc., and Mark Pitts, chief analytics and data officer, and senior vice president, at Excellus Blue Cross\/Blue Shield were among the participants in a Data Science Industry Roundtable sponsored by the Goergen Institute for Data Science. (Photo by Bob Marcotte \/ Ä¢¹½´«Ã½ )<\/figcaption><\/figure>\n

\u201cWe are training a tremendous number of engineers for Silicon Valley right now,\u201d Clark said. \u201cFacebook, Google, Apple, and every other company from there and Seattle are coming to Rochester and recruiting as many of our students as they can. If we\u2019re training them in New York, you would think it would make sense to create opportunities that will keep them in New York.\u201d<\/p>\n

Providing undergraduates and master\u2019s students with internships is a \u201cnatural way\u201d for companies to interest students in working for them after they graduate, Clark said. Bob Maybee, vice president for customer loyalty and insights at Wegmans, said that internships, which supplement formal course work, are \u201cvital for students to also understand the unique nature and operations of our business.\u201d<\/p>\n

Another challenge is bridging the gap between academic research and commercialization.<\/p>\n

\u201cIn industry and business you solve problems,\u201d said Martin Zand, director of the University\u2019s Center for Health Informatics<\/a>, and codirector of the Clinical and Translational Science Institute. \u201cAs researchers we often think of ourselves as answering questions. If we can have a constructive dialogue about the problems you, as companies, are facing, we may be able to find common ground. In some sense, solving a problem and answering a questions are two facets of the same thing.\u201d<\/p>\n

The Rochester Center of Excellence in Data Science<\/a>, which is funded by New York State, \u201cis designed to support these types of collaborations to address industry needs\u2014whether focused on education and training, research and technology development, or access to computing and data visualization capabilities,\u201d said Scott Steele, the center\u2019s director. The center is part of the Goergen Institute for Data Science.<\/p>\n

The round table concluded with a visit to the VISTA Collaboratory visualization lab in Carlson Library.<\/p>\n

\"roundtable_vista4\"<\/p>\n","protected":false},"excerpt":{"rendered":"

Representatives from dozens of industries will discuss how University-industry cooperation could help address such issues as soaring health care costs, the challenges involved in sharing data, and finding ways to retain graduates with computational skills.<\/p>\n","protected":false},"author":286,"featured_media":197252,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[116],"tags":[25592],"class_list":["post-197232","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-sci-tech","tag-goergen-institute-for-data-science-and-artificial-intelligence"],"acf":[],"yoast_head":"\nRound table explores opportunities for data science collaboration<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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