ReproMatchAre you looking for a reproducibility tool that supports some specific functionality? Give ReproMatch a try! It's designed to help you find the tool (or tools) that best matches your reproduciblity needs.
Viziometrics: Analyzing Visual Information in the Scientific LiteratureScientific results are communicated visually in the literature through diagrams, visualizations, and photographs. These information-dense objects have mostly been ignored in bibliometrics and scientometrics when compared to text or citations. In this paper, we use techniques from computer vision and machine learning to classify nine figure types from more than 8 million figures and ask questions about impact based on these visual representations.
Toward Reproducible ScienceA Quick Overview of the Recent BIDS Reproducibility Workshop. On May 21–22, BIDS hosted a Reproducibility Workshop. We had about 35 participants, including several BIDS fellows and staff as well as representatives from our NYU and UW partners. In addition, there were students, faculty, and staff from numerous departments and organizations from all over the campus.
Moore-Sloan Data Science Environment
New York University, the University of California, Berkeley and the University of Washington have launched a 5-year, $37.8 million, cross-institutional effort with support from the Gordon and Betty Moore Foundation and the Alfred P. Sloan Foundation to harness the potential of data scientists and big data for basic research and scientific discovery. NYU competed nationally with fifteen leading universities in the field of data science for this prestigious award, and will receive $12.6 million for its data science enterprise through this initiative.
The Recast Project
RECAST is a framework for extending the impact of existing analyses performed by high-energy physics experiments. Anyone can add analyses to the Analysis Catalog, upload alternative signals in the LHE format and request that any given analysis is "recast" for their alternative model, and subscribe to an analysis to be informed of activity associated with the analysis. The impact of RECAST depends entirely on the incorporation and integration of existing analyses into the framework. It builds on the efforts of experimental searches by extending and expanding their relevance to the community, all under the auspices of the collaborations. The design and considerations put forth here work aim to initiate a community wide effort to bring such a framework to life.