Video recording and production done by Enthought.
In 2013, the Gordon and Betty Moore and the Alfred P. Sloan foundations awarded UC Berkeley, U. Washington and NYU for a collaborative, $38M in support of a 5-year initiative to create novel environments for Data Science. This project was driven by the recognition that computing and data analysis have now become the backbone of all scientific research, and yet the teams, collaborations and individuals that make this possible typically encounter significant barriers in today's academic environments.
The SciPy community is one of the poster children of this issue: many of our members live "officially" in traditional, discipline-oriented scientific research, and yet we have committed time and effort to creating an open ecosystem of tools for research. As we all know, this is often done with little support from the standard incentive structures of science, be it publication venues, funding agencies or hiring, tenure and promotion committees.
The launch of this initiative is an important moment, as it signals the recognition of this problem by important and well-respected foundations in science. At UC Berkeley, we took this opportunity to create the new Berkeley Institute for Data Science. In this effort, the open source tools of the SciPy community will play a central role.
In this talk, I will describe the larger context in which this initiative has been created, as well as the scientific scope of our team, our goals, and the opportunities that we will try to provide with this space. We expect that this new institute, together with our partners at UW and NYU, will play an important role in support of the great work of the SciPy ecosystem.