University of Washington

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Support from the University of Washington enabled the creation of the eScience Institute in 2008, and demonstrated UW’s commitment to helping UW faculty and researchers meet the challenge of computational knowledge extraction in all fields of science and engineering. UW hosts the eScience Institute as a virtual organization across campus and provides the data center facility housing the computational platforms designed and deployed by the Institute. The support provided by UW creates opportunities to reduce cost, minimize duplication of effort, and allows UW faculty and researchers to focus on their science.

Gordon and Betty Moore Foundation

The Gordon and Betty Moore Foundation’s Science program seeks to make a significant impact on the development of provocative, transformative scientific research, and increase knowledge in emerging fields through investment in the work of researchers and organizations at the frontiers of science. Through a new “Data Science Environments” program, it has generously funded the eScience Institute to increase awareness, knowledge, and practical usage of data science techniques and technologies across all fields of science, and to effect institutional change to establish a culture that nutures and rewards data-driven discovery and the scientists who use these methods.

Alfred P. Sloan Foundation

The Alfred P. Sloan Foundation’s Data and Computational Research program aims to help researchers develop tools, establish norms, and build the institutional and social infrastructure needed to take full advantage of the important developments in data-driven, computation-intensive research. Emphasis is placed on projects that encourage access to and sharing of scholarly data, that promote the development of standards and taxonomies necessary for the interoperability of datasets, that enable the replication of computational research, and that investigate models of how researchers might deal with the increasingly central role played by data management and curation. Through a partnership with the Gordon and Betty Moore Foundation, the Alfred P. Sloan Foundation funds the eScience Institute to help establish a multi-university data science environment that nurtures an interdisciplinary culture of data science.

Washington Research Foundation

Washington Research Foundation supports groundbreaking technology in the life sciences, information technology and physical sciences fields. By advancing brilliant research and early-stage entrepreneurs, we help to grow Washington’s technology economy.

We support a cycle of prosperity. When Washington Research Foundation opened its doors in 1981, our founders Tom Cable, Hunter Simpson and Bill Gates, Sr. had an ambitious vision. They wanted to capture and enhance the value of intellectual property arising from the state’s research institutions in order to support additional research and scholarship. As an independent, nonprofit foundation, WRF has the autonomy to invest in big ideas over the long term.

WRF is recognized as one of the foremost technology transfer organizations in the nation. WRF Capital is one of the leading venture capitalists in the Northwest. Our financial returns are invested back into research and initiatives that support new company spinouts. We help to create a vibrant research and enterprise community.

Microsoft Research

Microsoft Research is dedicated to conducting both basic and applied research in computer science and software engineering. Researchers focus on more than 55 areas of computing and collaborate with leading academic, government and industry researchers to advance the state of the art. Funding from Microsoft Research has been critical to the development of Database-as-a-Service technology for long tail science. This technology, called SQLShare, is now available to the University of Washington research community and collaborators beyond.

Institute of Translational Health Sciences

The Institute of Translational Health Sciences provides access to information, services, funding and training for research teams working on translational science questions. Within ITHS, the Biomedical Informatics Core is a resource for service, education, and innovation in the management of clinical and translational biomedical data.

National Science Foundation

The National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 “to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense…” With an annual budget of $7.3 billion (FY 2015), we are the funding source for approximately 24 percent of all federally supported basic research conducted by America’s colleges and universities. In many fields such as mathematics, computer science and the social sciences, NSF is the major source of federal backing.

Berkeley Institute for Data Science

Founded in 2013, the Berkeley Institute for Data Science (BIDS) is a central hub of research and education within UC Berkeley designed to facilitate and nurture data-intensive science. BIDS initiatives are designed to bring together a broad constituency of the data science community, including domain experts from the life, social, and physical sciences and methodological experts from computer science, statistics, and applied mathematics. These efforts are anchored by a core group of data science fellows and senior fellows who are representative of the world-class researchers from across campus and are leading the data science revolution within their disciplines.

NYU Center for Data Science

The NYU Center for Data Science (CDS) is a university-wide initiative that was established to foster research and education in data science. It is interdisciplinary and cross-school, with participation by faculty from many NYU units. The CDS brings together computer scientists and domain scientists with complex data science problems to capitalize on common interests, develop and apply computational methods to solve real problems, and build shared resources that can benefit research groups at NYU and worldwide, and consequently help advance data-driven scientific discovery.

Moore-Sloan Data Science Environments

At the intersection of natural science, computer science, statistics, and applied mathematics is data science. Although data-driven research is already accelerating scientific discovery, substantial systemic challenges in academic research need to be overcome to maximize its impact and create supportive environments for researchers using develop data-intensive practices. The Moore-Sloan Data Science Environments seek to enhance data-driven discovery by supporting cross-disciplinary academic data scientists at research institutions. Our work is organized around six challenges — Careers, Education and training, Tools and software, Reproducibility and open science, Physical and intellectual space, Ethnography and evaluation — which are themes used to effectively focus our efforts to advance the future of academic data science. We have created three Data Science Environments — University of Washington eScience Institute, Berkeley Institute for Data Science, NYU Center for Data Science — to work toward our goal.

West Big Data Innovation Hub

west_hubThe West Big Data Innovation Hub builds partnerships across academia, industry, nonprofits, and government to address societal challenges with Big Data Innovation. The goals are to accelerate innovation on national priorities, foster cross-cutting teams and strengthen the west data science community.