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A Noob’s Guide to Reproducibility
SPEAKER:
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
DATE/TIME:
MON, 01/25/2016 – 4:00PM TO 5:00PM
LOCATION:
3105 ETCHEVERRY HALL
Spring 2016 Colloquium Series
Abstract:
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