Improving the Reproducibility of Computational Research

Improving the Reproducibility of Computational Research Mar 29, 2017 2:00PM to Mar 29, 2017 3:30PM NSF Room 110 Abstract: As the data collection ability of nearly every area of science has ballooned, so has the potential for problematic research practices that can lead to irreproducible results.  I will discuss a set of approaches that we are developing to address this reproducibility crisis in the context of human neuroimaging research.  These include an integrated platform for the analysis and open sharing of neuroimaging data, frameworks for the description ... More at: https://www.nsf.gov/events/event_summ.jsp?cntn_id=191383&WT.mc_id=USNSF_13&WT.mc_ev=click Webcast information at: https://www.nsf.gov/events/event_summ.jsp?cntn_id=191384&WT.mc_id=USNSF_13&WT.mc_ev=click This is an NSF Events item.   Follow NSF:    Save This email was sent using GovDelivery, on behalf of: National Science Foundation Update · 4201 Wilson Boulevard · Arlington, VA 22230 · 703-292-5111