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Moore-Sloan Data Science Environments • MSDSE

UW, NYU, and UC Berkeley. Themes we work around. DSE news and events. 2016 Data Science Summit. Moore-Sloan Data Science Environments. Although data-driven research is already accelerating scientific discovery, substantial systemic challenges in academia need to be overcome to maximize its impact and create supportive environments for researchers using develop data-intensive practices. Reproducibility and open science. Physical and intellectual space. We have created three Data Science Environments.

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Moore-Sloan Data Science Environments • MSDSE | msdse.org Reviews

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UW, NYU, and UC Berkeley. Themes we work around. DSE news and events. 2016 Data Science Summit. Moore-Sloan Data Science Environments. Although data-driven research is already accelerating scientific discovery, substantial systemic challenges in academia need to be overcome to maximize its impact and create supportive environments for researchers using develop data-intensive practices. Reproducibility and open science. Physical and intellectual space. We have created three Data Science Environments.

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Moore-Sloan Data Science Environments • MSDSE | msdse.org Reviews

https://msdse.org

UW, NYU, and UC Berkeley. Themes we work around. DSE news and events. 2016 Data Science Summit. Moore-Sloan Data Science Environments. Although data-driven research is already accelerating scientific discovery, substantial systemic challenges in academia need to be overcome to maximize its impact and create supportive environments for researchers using develop data-intensive practices. Reproducibility and open science. Physical and intellectual space. We have created three Data Science Environments.

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msdse.org

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About • MSDSE

http://msdse.org/about

UW, NYU, and UC Berkeley. Themes we work around. DSE news and events. 2016 Data Science Summit. The Data Science Environments Partnership includes New York University. The University of California, Berkeley. The University of Washington. The Gordon and Betty Moore Foundation. And the Alfred P. Sloan Foundation. Why Data Science Environments? Challenges of Supporting Data-Driven Science. Supporting the careers of data scientists. Promoting education and training in data-intensive discovery. Understanding ...

2

NYU Center for Data Science • MSDSE

http://msdse.org/nyu

UW, NYU, and UC Berkeley. Themes we work around. DSE news and events. 2016 Data Science Summit. NYU Center for Data Science. The NYU Center for Data Science. CDS is also the home of the Moore-Sloan Data Science Environment at NYU. What happens at CDS? CDS runs interdisciplinary activities that range from colloquia and seminars to workshops and hacking events. It is developing a software engineering effort that supports open-source data science software but also provides direct support to scientific t...

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Themes • MSDSE

http://msdse.org/themes

UW, NYU, and UC Berkeley. Themes we work around. DSE news and events. 2016 Data Science Summit. Reproducibility and Open Science. Physical and Intellectual Space. How do we create and sustain long-term career trajectories for a new generation of scientists whose research depends crucially on the analysis of massive, noisy, and/or complex data and whose work may require substantial curation and/or development efforts? We see persistent, complex, and deep-rooted challenges for the career paths of people wh...

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News • MSDSE

http://msdse.org/news

UW, NYU, and UC Berkeley. Themes we work around. DSE news and events. 2016 Data Science Summit. January 13, 2016. Call for Proposals on Critical Data Studies. This exerpt is taken from an January 11th post by the Data Science Studies Working Group on the UC Berkeley BIDS blog. November 05, 2015. Information Escrows to Combat Code Fraud. This exerpt is taken from a November 5th post by Laura Norén on the Berkeley Institute for Data Science blog. October 22, 2015. 2015 Data Science Environments Summit.

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UW eScience Institute • MSDSE

http://msdse.org/uw

UW, NYU, and UC Berkeley. Themes we work around. DSE news and events. 2016 Data Science Summit. Rapid advances in technology are transforming nearly every field from data-poor to data-rich. The ability to extract knowledge from this abundance of data is the cornerstone of 21st century discovery. At the University of Washington eScience Institute. Where is the eScience Institute? The eScience Institute is located in the Washington Research Foundation Data Science Studio. Who leads the eScience Institute?

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fioregartland.org

Brittany Fiore-Silfvast

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Ethnographic explorations in culture and technology. Director of Data Science Ethnography. EScience Institute Department of Human Centered Design and Engineering. I direct data science ethnography research at the eScience Institute. And the Department of Human Centered Design and Engineering. At the University of Washington. I co-lead UW Data Science Studies. Is part of a collaborative and multi-sited working group supported through the Moore-Sloan Data Science Environments. Whenever possible my work fol...

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Moore-Sloan Data Science Environments • MSDSE

UW, NYU, and UC Berkeley. Themes we work around. DSE news and events. 2016 Data Science Summit. Moore-Sloan Data Science Environments. Although data-driven research is already accelerating scientific discovery, substantial systemic challenges in academia need to be overcome to maximize its impact and create supportive environments for researchers using develop data-intensive practices. Reproducibility and open science. Physical and intellectual space. We have created three Data Science Environments.

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