Archived Events

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  • Trust But Verify : The Crisis in Biomedicine

    Apr 21, 2016
    Washington, DC

    Verify: How should the scientific process change to address the reproducibility crisis?

    Today’s reproducibility crisis is challenging the very idea that scientific knowledge expands by research studies that build upon each other. Is a transformation of the underlying culture of biomedical research necessary? How difficult will it be to accomplish? Join Future Tense on Thursday, April 21, in Washington, DC, to explore this crisis in biomedicine.
  • Improving the Reproducibility of Quantitative Research: A Hands-on Workshop

    May 02, 2016 to May 03, 2016

    Stanford, CA

    If you are interested in learning easy, practical steps to increase the reproducibility of your research, then please join us for a hands-on workshop with Courtney Soderberg of the Center for Open Science (cos.io). Using example studies, attendees at this workshop will actively participate in creating a reproducible project from start to finish. Participants will gain a foundation for incorporating reproducible, transparent practices into their current workflows.

    If you are interested in learning easy, practical steps to increase the reproducibility of your research, then please join us for a hands-on workshop with Courtney Soderberg of the Center for Open Science (cos.io). Using example studies, attendees at this workshop will actively participate in creating a reproducible project from start to finish. Participants will gain a foundation for incorporating reproducible, transparent practices into their current workflows.Improving the reproducibility and transparency of your research will increase the degree to which other scientists trust the work that you do. But in a more immediate sense, it will improve the efficiency of your own research, allowing you to make progress more quickly and reliably. Topics covered:•    Writing useful project documentation•    Employing version control•    Creating pre-analysis plans•    Enhancing scientific workflows by implementing open source tools like the Center for Open Science’s Open Science Framework (osf.io) Target audience:•    Faculty, staff, and students in all disciplines who are engaged in quantitative research.
  • Blinded Data Analysis as a Possible Antidote to Confirmation Bias and P-hacking

    May 02, 2016
    Stanford, CA

    Li Ki Shing Center for Learning and Knowledge, Room 209; Time: 12 pm PST. Join us for our next METRICS Forum event featuring, Robert MacCoun, Professor of Law and Professor (by courtesy) in Psychology, and Senior Fellow at the Freeman-Spogli Institute

    METRICS Forum events showcases the work of meta-researchers from Stanford and around the world. Join us in-person or virtually. This Forum will feature, Robert MacCoun, Professor of Law and Professor (by courtesy) in Psychology, and Senior Fellow at the Freeman-Spogli Institute. Lunch will be provided, RSVP required.
  • Transparency and Reproducibility in Economics Research

    May 16, 2016
    Stanford, CA

    Li Ki Shing Center for Learning and Knowledge, Room 209; Time: 12 pm PST. Join us for our next METRICS Forum event featuring, Edward Miguel, Oxfam Professor in Environmental and Resource Economics, Dept. of Economics Faculty Director of the Center for Effective Global Action (CEGA).

    METRICS Forum events showcases the work of meta-researchers from Stanford and around the world. This Forum will feature, Edward Miguel, Oxfam Professor in Environmental and Resource Economics, Dept. of Economics Faculty Director of the Center for Effective Global Action (CEGA). Join us in-person or virtually. Lunch will be provided, RSVP required.
  • Colloquium Series: Scientific Reproducibility

    May 31, 2016 to Sep 21, 2016

    Coventry, UK

    Bridges will host a colloquium series on scientific reproducibility. This series responds to the increasing concerns over the (ir)reproducibility of experimental results across many scientific disciplines.

    The colloquium series is open to all and would be especially relevant to those interested in the quality of experimental research, regardless of discipline. It will feature speakers from physics, psychology, pharmacology, statistics, medicine, and meta-research.