BIDS and the Berkeley Initiative for Transparency in the Social Sciences (BITSS) present this panel discussion presentation on journal reproducibility policies and practices. Panelists will discuss perspectives and experiences at journals in economics, statistics, the physical and health sciences, as well as resources to support reproducibility available to the UC Berkeley community and beyond. Panelists will answer audience questions about publishing policies and offer recommendations for conducting and publishing reproducible research. The panelists include Lars Vilhuber, Data Editor for the journals of the American Economic Association (AEA); Chris Paciorek, a Reproducibility Editor for the Journal of the American Statistical Association (JASA); and Anna Sackman, a Science Data and Engineering Librarian at UC Berkeley. The discussion will be moderated by Katie Hoeberling, Program Manager at BITSS.
The event is free to attend and open to the public, and all interested members of the UC Berkeley community are welcome to attend.
Speaker(s)
Lars Vilhuber
Lars Vilhuber is the Executive Director of the Labor Dynamics Institute at Cornell University, and a Senior Research Associate in the Economics Department of Cornell University. He works with the Research and Methodology Directorate at the U.S. Census Bureau on a variety of projects, and also participates in multiple data access center committees, including the CRDCN and CASD. Since 2018, he has been the American Economic Association‘s Data Editor, and Co-Chair of the Innovations in Data and Experiments for Action (IDEA) Initiative at J-PAL. He is also a member of the American Statistical Association‘s Committee on Privacy and Confidentiality.
Chris Paciorek
Christopher Paciorek is an adjunct professor and a statistical computing consultant in the Department of Statistics at UC Berkeley. He has 15 years of experience in applications of Bayesian statistics with a wide variety of published analyses in environmental and public health applications. He has extensive experience developing and presenting workshops on statistical computing topics, including intensive two-day bootcamps on R and shorter workshops on parallel programming using Spark and MapReduce, Python programming, databases and SQL, using GPUs, and using C/C++ from R. He has taught the graduate-level statistical computing class at UC Berkeley for five years. He is a co-developer of the NIMBLE package and the developer of the bigGP and spectralGP packages for R.
Anna Sackman
Anna is the Science Data & Engineering Librarian at the Kresge Engineering Library at UC Berkeley. She was a librarian at Notre Dame de Namur University and the University of Wisconsin - Madison before coming to UC Berkeley. Anna is the subject librarian for Bioengineering, Materials Science & Engineering, and Electrical Engineering. She also works closely with Berkeley's Research Data Management team to provide data support services to researchers in the physical sciences.
Katie Hoeberling
Katie Hoeberling is a Program Manager at BITSS, where she leads fundraising, partnership development, training initiatives, and the Catalyst program. She previously served as a Borlaug Fellow in Global Food Security studying savings-led microfinance and farmer-centered innovation initiatives in Cambodia, supported an environmental impact assessment of California almonds and the revision of the Urban Forest Project Protocol for the California carbon market, and worked with the Food Chain Workers Alliance and the Los Angeles Food Policy Council. Katie holds an MSc in International Agricultural Development from UC Davis and a BSc in Environmental Science from UCLA.