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The Burgeoning and Expanding Field of Data Science (with Dr. Sarah Stone, Executive Director of the eScience Institute at the University of Washington, and Dr. Jing Liu, Managing Director of the Michigan Institute for Data Science at the University of Mic

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Manage episode 298432499 series 1526434
Content provided by Harris Search Associates. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harris Search Associates or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Dr. Sarah Stone, Executive Director of the eScience Institute at the University of Washington, and Dr. Jing Liu, Managing Director of the Michigan Institute for Data Science at the University of Michigan, join Innovators to discuss the Burgeoning and Expanding Field of Data Science.

Dr. Sarah Stone is the Executive Director of the eScience Institute. Stone handles eScience operations and planning, develops research and training programs, participates in strategic planning, and serves as the primary contact for university and industry partners, funding agencies and the public.

eScience Director of Data Science Education since 2018, Stone is co-leading the Education and Career Paths Special Interest Group and helping departments across campus develop data science specializations. Stone also directs the UW Data Science for Social Good (DSSG) program which partners student fellows from across the country with project leads from academia, government, and the private sector to find data-driven solutions to pressing societal challenges. Stone sits on the executive committees for the eScience Institute and the UW Center for Studies in Demography and Ecology (CSDE). Since 2015, as a Deputy Director of the West Big Data Innovation Hub (WBDIH), she has focused on building and strengthening partnerships across the western U.S., with a particular focus on urban data science and data-enabled scientific discovery and training.

Dr. Jing Liu, Managing Director, has been at Michigan Institute for Data Science since 2016. She oversees the operation of the institute and the staff team, designs programs to implement the institute’s mission, and builds academia-industry-government-community partnership. In addition, she plans and coordinates research activities to enable groundbreaking, transformative and reproducible data science research.

Dr. Liu’s past research management experience includes coordinating mental health research, biostatistics, and grant proposal review. Her research experience includes visual neuroscience with human brain imaging and animal electrophysiology, genetics, and most recently science policy. She also writes and translates about science and education, and has received multiple awards including China Book Award and China National Library Book Award.

Innovators is a podcast production of Harris Search.

*The views and opinions shared by the guests on Innovators do not necessarily reflect the views of the interviewee's institution or organization.*

  continue reading

70 episodes

Artwork
iconShare
 
Manage episode 298432499 series 1526434
Content provided by Harris Search Associates. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Harris Search Associates or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Dr. Sarah Stone, Executive Director of the eScience Institute at the University of Washington, and Dr. Jing Liu, Managing Director of the Michigan Institute for Data Science at the University of Michigan, join Innovators to discuss the Burgeoning and Expanding Field of Data Science.

Dr. Sarah Stone is the Executive Director of the eScience Institute. Stone handles eScience operations and planning, develops research and training programs, participates in strategic planning, and serves as the primary contact for university and industry partners, funding agencies and the public.

eScience Director of Data Science Education since 2018, Stone is co-leading the Education and Career Paths Special Interest Group and helping departments across campus develop data science specializations. Stone also directs the UW Data Science for Social Good (DSSG) program which partners student fellows from across the country with project leads from academia, government, and the private sector to find data-driven solutions to pressing societal challenges. Stone sits on the executive committees for the eScience Institute and the UW Center for Studies in Demography and Ecology (CSDE). Since 2015, as a Deputy Director of the West Big Data Innovation Hub (WBDIH), she has focused on building and strengthening partnerships across the western U.S., with a particular focus on urban data science and data-enabled scientific discovery and training.

Dr. Jing Liu, Managing Director, has been at Michigan Institute for Data Science since 2016. She oversees the operation of the institute and the staff team, designs programs to implement the institute’s mission, and builds academia-industry-government-community partnership. In addition, she plans and coordinates research activities to enable groundbreaking, transformative and reproducible data science research.

Dr. Liu’s past research management experience includes coordinating mental health research, biostatistics, and grant proposal review. Her research experience includes visual neuroscience with human brain imaging and animal electrophysiology, genetics, and most recently science policy. She also writes and translates about science and education, and has received multiple awards including China Book Award and China National Library Book Award.

Innovators is a podcast production of Harris Search.

*The views and opinions shared by the guests on Innovators do not necessarily reflect the views of the interviewee's institution or organization.*

  continue reading

70 episodes

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