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.
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.