University of Washington

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Support from the University of Washington (UW) enabled the creation of the eScience Institute in 2008, and demonstrated the UW’s commitment to helping faculty and researchers meet the challenge of computational knowledge extraction in all fields of science and engineering. The 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 the UW creates opportunities to reduce cost, minimize duplication of effort, and allows faculty and researchers to focus on their science.

Algorithmic Foundations for Data Science Institute

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The goal of the UW Algorithmic Foundations for Data Science Institute (ADSI) is to provide a common language and unifying methods for addressing contemporary data science challenges. At their core, each of the three disciplines of computer science, mathematics, and statistics has rich theories of complexity and robustness. These theories have influenced the design of the available tools that are used to address real world computational problems. Going forward, ADSI seeks new algorithms and design principles that unify ideas and provide a common language for addressing contemporary data science challenges.

UW Institute for Neuroengineering

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With support from the Washington Research Foundation, the University of Washington Institute for Neuroengineering collectively draws on the unique strengths of computing, engineering, and neuroscience to support a rich array of research and educational programs. We will develop the next generation of devices and algorithms that assist individuals with neural and mobility disorders (e.g. traumatic brain and spinal cord injury, multiple sclerosis, Parkinson’s disease, and epilepsy). Further, inspired by neural systems, we will develop interactive and autonomous devices that can be used for assistance within the home and for exploration in the remote regions of the planet and in space.

DIRAC Institute

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The Data Intensive Research in Astrophysics and Cosmology (DIRAC) Institute is a world leading, interdisciplinary research center that addresses fundamental questions about the origins and evolution of the universe. Our research brings together scientists across many disciplines on a mission to understand the nature of dark matter and dark energy, the emergence of structure within the universe, the formation of galaxies, the birth and evolution of black holes, the transformations of stars, and the origins of the planets.

Cascadia Urban Analytics Cooperative

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The specific focus of the Cascadia Urban Analytics Cooperative (CUAC) is data science for social good in an urban context: high-impact data science and analytics projects that aim to understand and extract valuable actionable information out of data from urban environments in the Cascadia region at a neighborhood level. To lead a focused response, the University of Washington (through a partnership between the eScience Institute, Urbanalytics and Urban@UW) and the University of British Columbia (through a partnership between UBC’s Data Science Institute and UBC’s Sustainability Initiative) have formed CUAC, an applied, interdisciplinary, regional center that brings together academic researchers, students, and public stakeholder groups to address topics affecting the region.

Urban@UW

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Urban@UW extends the understanding of cities — from people, buildings, infrastructure, and energy to economics, policy, culture, art, and nature — beyond individual topics to dynamically interdependent systems, so that we can holistically design and steward vibrant and welcoming cities in which future generations will thrive. Together, we will catalyze the growth of Seattle as a model city — a boundary-pushing laboratory and knowledge economy hub that leverages innovation to create a place of opportunity and health for all — and build knowledge that can be used in metropolitan regions around the globe. Urban@UW leverages deep understanding, leading-edge analysis, and an ethos of partnership to create the pathway for Seattle as the city of the future.

Urbanalytics

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The Urbanalytics Studio will bridge expertise from the eScience Institute, the Center for Studies in Demography and Ecology (CSDE), and faculty from across the Urban@UW network to establish a permanent capacity for high-impact data-driven analytics and research projects on behalf of government and community stakeholders, addressing the complex challenges and opportunities of the urban landscape.

Center for Studies in Demography and Ecology

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The Center for Studies in Demography and Ecology (CSDE) supports population research and training at the University of Washington by advancing knowledge on migration, health, family change, and other demographic trends. CSDE is a community of faculty and students associated to advance population science through research and training. As a federally funded research center with over 70 years of experience, the CSDE community of scholars develops new demographic measures and methods, advances knowledge about population dynamics, generates new data and evidence to support population science, and trains the next generation of demographers.

West Big Data Innovation Hub

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The 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.

Moore - Sloan Data Science Environments

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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 – the University of Washington eScience Institute, Berkeley Institute for Data Science, and NYU Center for Data Science – to work toward our goals.

Berkeley Institute for Data Science

Founded in 2013, the Berkeley Institute for Data Science (BIDS) is a central hub of research and education within the University of California, 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 New York University 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.

Bill & Melinda Gates Foundation

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Guided by the belief that every life has equal value, the Bill & Melinda Gates Foundation works to help all people lead healthy, productive lives. In developing countries, it focuses on improving people’s health and giving them the chance to lift themselves out of hunger and extreme poverty. In the United States, it seeks to ensure that all people — especially those with the fewest resources — have access to the opportunities they need to succeed in school and life.

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.

Clean Energy Institute

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The Clean Energy Institute (CEI) supports the advancement of next-generation solar energy and battery materials and devices, as well as their integration with systems and the grid. The CEI creates the ideas and educates the people needed to generate those innovations, while facilitating the pathways to bring them to market.

Institute for Protein Design

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The exquisite functions of naturally occurring proteins solve the challenges faced during evolution. However, we face challenges today that were not faced during natural evolution. The goal of the Institute for Protein Design is to develop and apply methods for designing a whole new world of synthetic proteins to address these challenges.