NUCLEAR ENGINEERING COLLOQUIUM
SPRING 2016
A Noob's Guide to Reproducibility
Philip B. Stark, Ph.D.
Professor of Statistics
Senior Fellow, Berkeley Institute of
Data Science
Associate Dean, Division of
Mathematical and Physical Sciences
University of California, Berkeley
Monday,
January 25, 2016
4:00pm - 5:00pm
*Sibley Auditorium*
Bechtel Engineering Center
OPEN TO THE PUBLIC
What does it mean to work reproducibly and
transparently? Why bother? Whom does it benefit, and
how? What will it cost me? What work habits will I
need to change? Will I need to learn new tools? What
resources help? What’s the simplest thing I can do to
make my work more reproducible? How can I move my
discipline, my institution, and science as a whole towards
reproducibility?
About the Speaker:
Philip B. Stark is professor of Statistics and associate dean
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 CV is at www.stat.berkeley.edu/~stark/bio.pdf
FOR MORE INFORMATION:
CALL - 510-642-4077
www.nuc.berkeley.edu
This talk is co-sponsored by:
University of California, Berkele y