The Bakar Institute of Digital Materials for the Planet (BIDMaP) is a new institute in UC Berkeley’s new College of Computing, Data Science, and Society (CDSS), bringing together machine learning and data science with the natural sciences to address one of society’s most urgent challenges: climate change. The BIDMaP Emerging Scholars Program is accepting fellowship applications from recent PhDs in basic science or data science fields interested in working at the interface of machine learning,
CSDE, along with partners in the Center for Statistics and the Social Sciences and the eScience Institute, is among eight awardees across the country selected to develop training programs in advanced data analytics for population health through the NIH’s Office of Behavioral and Social Sciences Research. This five-year, $1.8 million training program at the UW will fund 25 academic-year graduate fellowships, develop a new training curriculum and contribute to methodological advances in health research at the intersection of demography and data science (see UW News story).
A recently awarded training grant means that five pre-doctoral candidates in the social sciences have been awarded training grants for the 2020-21 Academic Year. This inaugural cohort began the training program in October 2020 and includes Ian Kennedy (Graduate student in Sociology), Neal Marquez (Graduate student in Sociology), Emily Pollock (Graduate student in Anthropology), Aja Sutton (Graduate student in Geography), and Crystal Yu (Graduate student in Sociology).
Calling all demography students! In Spring 2020, CSDE Affiliate and Training Core Director Jon Wakefield, Professor of Biostatistics and Statistics, and Bobby Reiner, Associate Professor of Health Metrics Sciences, are offering Advanced Spatial Statistics for Public and Global Health (BIOST/STAT 578 A). Wakefield and Reiner will cover Gaussian process (GP) models and Model-Based Geostatistics, methods for point process data, and space-time-age models among many other topics of spatial statistics. Preerequisites for this course include STAT 554 or BIOST 555,