BOOK LAUNCH: The Practice of Reproducible Research


January 27, 2017
2:00pm to 3:30pm
Banatao Auditorium, Sutardja Dai Hall, UC Berkeley
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The scientific community has long recognized the importance of making research findings reproducible by independent investigators. The increasing complexity of modern scientific research, however, has made it more difficult than ever to gather data, conduct analyses, and share findings in a way that allows others to fully understand and repeat a scientific experiment. To date, there has been little information available on how practicing scientists actually organize their research projects in order to make them more open, transparent, and reproducible by others.

This symposium will serve as the launch event for our new open, online book, titled The Practice of Reproducible Research. The book contains a collection of 31 case studies in reproducible research practices written by scientists and engineers working in the data-intensive sciences. Each case study presents the specific approach that the author used to achieve reproducibility in a real-world research project, including a discussion of the overall project workflow, major challenges, and key tools and practices used to increase the reproducibility of the research.

Speakers at the symposium will describe the overall project and its goals, present several lightning talks showcasing individual case studies from the collection, and summarize the key outstanding challenges and opportunities to achieving reproducibility in modern scientific research. The presentations will be followed by time for Q&A and audience discussion.

Printed copies of The Practice of Reproducible Research will be available from the University of California Press in late 2017.


2:10 p.m. Introduction—Justin Kitzes
Postdoctoral Scholar, Energy and Resources Group; BIDS Data Science Fellow
2:20 p.m. Basic Features of the Case Studies—Daniel Turek
Assistant Professor of Statistics, Williams College; Former BIDS Data Science Fellow
2:30 p.m. Lightning Talks Featuring Four Specific Case Studies
2:50 p.m. Lessons Learned—Katy Huff
Assistant Professor, Nuclear, Plasma, and Radiological Engineering, University of Illinois, Urbana-Champaign; Former BIDS Data Science Fellow
3:00 p.m. Where We Go from Here—Karthik Ram
Assistant Researcher, Berkeley Initiative in Global Change Biology; BIDS Data Science Fellow
3:10 p.m. Audience Questions and Discussion with Panel of Speakers