Data Science for Undergraduates Opportunities and Options (2018) / Chapter Skim
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Appendix A: Biographies of the Committee
Appendix A: Biographies of the Committee
Pages 95-104
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From page 95... ...
She is best known for her work on the Starburst query processor, from which the database server DB2 LUW was developed, on Garlic, a system that allowed integration of heterogeneous data sources, and on Clio, the first semiautomatic tool for heterogeneous schema mapping. She has received several IBM awards for Outstanding Innovation and Technical Achievement, an IBM Corporate Award for Information Integration Technology, the Anita Borg Institute Technical Leadership Award, and the Association for Computing Machinery (ACM)
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of the Electrical Engineering and Computer Sciences department, the founding director of Intel Research, Berkeley, and co-founder of Arch Rock Corp.
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, and his articles on Stalinist education have been published in Gender & History, American Educational Research Journal, Women's History Review, History of Education Quarterly, Russian Review, and Journal of Women's History. He has received six grants from the National Endowment for the Humanities at the intersection of digital humanities, data analytics, and medical history projects.
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From page 98... ...
Waller Award for Distinguished Teaching, the Mathematical Association of America Hogg Award for Excellence in Teaching, the Mu Sigma Rho Statistics Education Award, and the ASA Founders Award. He was a co-principal investigator of the National Science Foundation-funded Project MOSAIC,
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From page 99... ...
Dr. Lane has had leadership positions in a number of policy and data science initiatives at her other previous appointments, which include senior fellow and senior managing economist at the American Institutes for Research; senior vice president and director, Economics Department at NORC/University of Chicago; various consultancy roles at the World Bank; and assistant, associate, and full professor at American University.
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McCallum has been active in research on statistical machine learning applied to text, especially information extraction, entity resolution, social network analysis, structured prediction, semisupervised learning, and deep neural networks for knowledge representation.
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in statistics at the University of Washington in 2006. LEE RAINIE is the director of Internet, science, and technology research at Pew Research Center.
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Since joining the Microsoft Research Outreach program in 2006, she has run several major initiatives from biomedical computing and environmental science to more traditional computer and information science programs around natural user interactions and data curation. She also directed the development of the Microsoft Translator Hub and the Environmental Science Services Toolkit.
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Her professional experiences include research appointments at the Jet Propulsion Laboratory, the National Security Agency, and NASA.
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104 DATA SCIENCE FOR UNDERGRADUATES nal Technology Innovations in Statistics Education and as a member of the Research Advisory Board for the Consortium for the Advancement of Undergraduate Statistics Education.
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