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X-WR-CALDESC:Events for Columbia Entrepreneurship
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DTSTART:20160101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20170405T080000
DTEND;TZID=UTC:20170405T170000
DTSTAMP:20260511T104244
CREATED:20160914T191558Z
LAST-MODIFIED:20170328T011548Z
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SUMMARY:Third Annual Data Science Day
DESCRIPTION:AGENDA\nKeynote Speaker: Alfred Spector\nChief Technology Officer and Head of Engineering at Two Sigma \n“Opportunities and Perils in Data Science”\nLightning Talk Sessions:\nOur Connected World\n\nSuman Jana\, Assistant Professor of Computer Science\nSusan McGregor\, Assistant Professor of Journalism;\nAssistant Director\, Tow Center for Digital Journalism\nHollie Russon-Gilman\, Lecturer in International and Public Affairs \nApplications of Data Science\nStefano Fusi\, Associate Professor of Neuroscience\nAndrew Gelman\, Professor of Statistics and Political Science\nAndreas Christian Mueller\, Lecturer in the Discipline of Data Science\nMingoo Seok\, Assistant Professor of Electrical Engineering \nPatient Driven Health Care\nKenrick Dwain Cato\, Assistant Professor of Nursing\nYing Kuen K. Cheung\, Professor of Biostatistics\nNoemie Elhadad\, Associate Professor of Biomedical Informatics \nSharing Economy\nXuan Sharon Di\, Assistant Professor of Civil Engineering and Engineering Mechanics\nConstantinos Maglaras\, David and Lyn Silfen Professor of Business\nEric L. Talley\, Isidor and Seville Sulzbacher Professor of Law \n\n\nLAST YEAR’S DATA SCIENCE DAY \nColumbia’s Data Science Institute held its second annual all-day conference devoted to big data on April 6\, and it was information overload in the best sense. \nKeynote speaker Dan Doctoroff talked about the revolutionary impact data science will have on people and our urban environment.\n—Photo by Timothy Lee Photographers \nAttendees got a chance to learn all about key research underway by Columbia faculty and researchers who are leading the charge in this burgeoning field. Disciplines as diverse as engineering\, economics\, astrophysics\, and history were represented throughout the day on data science challenges as varied as gang violence prevention\, measurements of urban pollution\, kidney disease prediction\, encrypted search\, and much more. \nSpeaking to a packed audience in Roone Arledge Auditorium\, Columbia Engineering Dean Mary C. Boyce underscored the Institute’s crucial role since its inception four years ago in pushing the innovation\, discussion\, and education of data science\, across multiple fields. “The Institute has really acted to catalyze data science across the University\,” she said\, stressing that the initiative has ignited faculty and student collaboration. “We’re also transforming the way we do research and the way we teach across campus\,” she added\, pointing to new programs in data science\, including the MS program\, a certificate program for professionals\, and several new courses in data science. [Rest of Story] \nIn his keynote address\, Sidewalk Labs CEO Dan Doctoroff gave a riveting talk about “the coming technological revolution in cities.” Doctoroff\, former CEO of Bloomberg L.P. and a former deputy mayor of New York City under Michael Bloomberg\, started Sidewalk Labs to bridge the gap between technology and cities. He said harnessing data science—computing power\, sensing\, the power of social networks—will have a revolutionary impact on people and our urban environment\, essentially developing the smartest of all cities that will lead humanity into the future.
URL:https://entrepreneurship.columbia.edu/event/third-annual-data-science-day/
CATEGORIES:Columbia Data Science Institute
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DTSTART;TZID=UTC:20170426T163000
DTEND;TZID=UTC:20170426T173000
DTSTAMP:20260511T104244
CREATED:20170426T193440Z
LAST-MODIFIED:20170426T193440Z
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SUMMARY:Recent Advances in Post-Selection Statistical Inference
DESCRIPTION:The Joint Colloquium Series\, hosted by the Data Science Institute and the Department of Statistics\, presents Recent Advances in Post-Selection Statistical Inference” with Professor Robert Tibshirani of Stanford University. \nIn this era of big data and complex statistical modeling\, scientists use sophisticated computational tools to search through a large number of models\, looking for meaningful patterns. The challenge is then to judge the strength of a large number of apparent associations that have been found. This statistical problem has become known as ?Post-selection inference\,? the assessment of significance and effect sizes from a data-set after mining the same data to find these associations. In this talk I will discuss new methods for computing p-values and confidence intervals in regression\, that correctly account for the adaptive selection of the model. This is joint work with Jonathan Taylor\, Ryan Tibshirani\, Will Fithian and Richard Lockhart. \nRegistration not required; more data available here.
URL:https://entrepreneurship.columbia.edu/event/recent-advances-post-selection-statistical-inference/
LOCATION:Davis Auditorium\, Schapiro\, New York City\, 10027\, United States
CATEGORIES:Columbia Data Science Institute
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