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  • 2017 BITSS Annual Meeting

    Dec 05, 2017 to Dec 06, 2017

    Berkeley, California

    BITSS will hold its sixth Annual Meeting on December 5-6, 2017 in Berkeley, California to bring together leaders from academia, scholarly publishing, and policy to share knowledge and discuss the evolving movement toward research transparency in order to strengthen the standards of openness and integrity across social science disciplines.

    BITSS will hold its sixth Annual Meeting on December 5-6, 2017 in Berkeley, California to bring together leaders from academia, scholarly publishing, and policy to share knowledge and discuss the evolving movement toward research transparency in order to strengthen the standards of openness and integrity across social science disciplines.The meeting will feature keynote speakers, awarding of the 2017 Leamer-Rosenthal Prizes for Open Social Science, results from selected Social Science Meta-Analysis and Research Transparency (SSMART) grants, and selected research from an open call for papers.A hands-on workshop will also be held on the morning of Tuesday, December 5, 2017.The 2017 BITSS Annual Meeting is supported in part by the Laura and John Arnold Foundation, William and Flora Hewlett Foundation, the John Templeton Foundation, and an anonymous donor.
  • A Noob's Guide to Reproducibility

    Jan 25, 2016
    Berkeley, CA

    Berkeley's Institute for Data Science present's a lecture by Philip B. Stark, Associate Dean, Division of Mathematical and Physical Science, UC Berkeley.

    Philip B. Stark is professor of statistics and associate dean of the Division of Mathematical and Physical Sciences at UC Berkeley. He works on inverse problems and uncertainty quantification with applications including astrophysics, cosmology, ecology, education, elections, food, geophysics, health, legislation, litigation, and risk. His lecture, A Noob's Guide to Reproducibility, will talk such questions as What does it mean to work reproducibly and transparently? Why bother? Whom does it benefit, and how? 

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