A poster by Rebecca Davies in the field of Veterinary Medicine.
There are many actions researchers can take to increase the openness and reproducibility of their work. This introductory webinar from the Center for Open Science is aimed at faculty, staff, and students involved in agricultural research. Participants will gain a foundation for incorporating reproducible, transparent practices into their current workflows.
There is growing interest in research transparency and reproducibility in economics and other scientific fields. We survey existing work on these topics within economics and discuss the evidence suggesting that publication bias, inability to replicate, and specification searching remain widespread problems in the discipline. We next discuss recent progress in this area, including improved research design, study registration and pre-analysis plans, disclosure standards, and open sharing of data and materials, and draw on experiences in both economics and other social sciences. We discuss areas where consensus is emerging on new practices as well as approaches that remain controversial and speculate about the most effective ways to make economics research more accurate, credible, and reproducible in the future.
A ReproZip demo has been accepted at SIGMOD 2016: "ReproZip: Computational Reproducibility With Ease." F. Chirigati, R. Rampin, D. Shasha, and J. Freire.
The 2016 GBSI Summit—"Research Reproducibility: Innovative Solutions to Drive Quality" welcomed premiere life science thought leaders, including Arizona State University biomarker researcher Joshua LaBaer, MD, PhD, and science correspondent and moderator Richard Harris (currently on leave from National Public Radio as a visiting scholar this spring at Arizona State University), to explore the driving forces and profound impacts behind the issues.
A presentation by Philip B. Stark of University of California at Berkeley that gives a great 101-style look into what the everyday researcher can do to make their science more reproducible.