The Statistics Online Computational Resource (SOCR) is developed, supported and expanded by the
core SOCR team at the University of Michigan,
School of Nursing and the Department of Statstics at the University of California, Los Angeles.
A number of outside academic, non-profit and industrial resource were also utilized
in the SOCR development. We have used ideas, design, resources and models from
Elementary Statistics Java Applets, Statlets, Rice Virtual Lab in Statistics,
WebStat, Statiscope, PsychStat, BisinessStat, Probability by Surprise, Web Interface
for Statistics Education, CUWU Stats, PSOL, StatLab, Virtual Labs in Probability and
Statistics, JavaStat, Vistac, JSci, CyberStat, JFreeChart, and many other groups,
organizations, student projects, research, clinical and teaching resources.
Contributors to the SOCR resource include: Jenny Cui, Annie Chu, Juana Sanchez,
Nicolas Christou (SOCR Co-Director), Robert Gould, Don Ylvisaker, Rahul Gidwani,
Priscilla Chui, Siu-Ling Teresa Lam and Ivo Dinov, the SOCR Director.
Many other UMichigan and UCLA faculty and graduate students in Statistics,
Computer Science,
LONI, CCB, Neurology and Biomedical Engineering have also contributed.
Most notably: Fotios Konstantinidios, Jianming Hu, Jason Landerman, Hui Wang,
Petros Efstathopoulos, Linda Capetillo-Cunliffe, Anuradha Sachdev and Blake Haas,
Sam Prabhu Rubandhas and Dushyanth Krishnamurthy.
The
SOCR resource is funded in part by an
NSF grants DUE 0716055 and 1023115.
In the past, SOCR was funded in part by UCLA OID IIP 03-18 and OID IIP 10-21,
NSF 0442992, and NIH Roadmap for Medical Research, NCBC Grant U54 RR021813.
