Education

We are proposing to organize a working group on "Data Science Education" to discuss, identify and develop resources, curriculum examples and innovative pedagogies as research on data science education for improving Columbia’s overall capacity in teaching data literacy, data ethics, empirical reasoning skills, advanced computational and data-driven research skills. The mission of this working group is to build a community for creative research on pedagogies and curriculum development that can help keep Columbia’s position as a leader in Data Science Education.

STEERING COMMITTEE

  • CO-CHAIR: Tian Zheng, Data Science Institute and Arts and Sciences | Statistics
  • CO-CHAIR: Patricia Culligan, Columbia Engineering | Civil Engineering and Engineering Mechanics

MOTIVATION

Both federal agencies and private sectors have been putting more resources in curriculum development and training at both undergraduate and graduate levels. There is also a lot of interest for informal training for researchers. Our hope is to eventually establish a center on Data Science Education to bring together creative educators in data science across campus, pool resources and efforts, promote data science teaching and learning efforts, and increase Columbia’s visibility in this domain.

The mission of this working group is separate from DSI’s education committee which oversees the governance of DSI programs and facilitate formal educational collaboration between DSI and other units of the university. The “Data Science Education” working group will function similar to other DSI centers and working group, connecting educators and researchers and creating a collaborative community.

PROPOSED ACTIVITIES

Curation of resources such as online learning materials, courses at Columbia, bootcamps, open office hours, etc - Investigation of potential resources such as cloud computing credit, software, etc - Development of novel DS education models - Disseminating information on events - Organizing and engaging data science students in formal and informal data science education activities

FUNDING SUPPORT

  • DSI working group funding
  • Help facilitate industry grants on curriculum developments

AFFILIATED MEMBERS

Demissie Alemayehu, Arts and Sciences | Statistics
Daniel Bauer, Columbia Engineering | Computer Science
Augustin Chaintreau, Columbia Engineering | Computer Science
Kitty Kay Chan, School of Professional Studies | Applied Analytics
Merlin Chowkwanyun, Mailman School of Public Health | Sociomedical Sciences
Patrice Derrington, Graduate School of Architecture, Planning and Preservation
Ton Dieker, Columbia Engineering | Industrial Engineering and Operations Research
Vince Dorie, Data Science Institute
Eleni Drinea, Columbia Engineering | Computer Science
Qiang Du, Columbia Engineering | Applied Physics and Applied Mathematics
Gregory Eirich, Arts and Sciences | Sociology
Noemie Elhadad, Vagelos College of Physicians and Surgeons | Biomedical Informatics
Jeff Goldsmith, Mailman School of Public Health | Biostatistics
Jorge Guzman, Graduate School of Business
Mark Hansen, Graduate School of Journalism | Brown Institute
Xiaofu He, Vagelos College of Physicians and Surgeons | Psychiatry
Daniel Hsu, Columbia Engineering | Computer Science
Hardeep Johar, Columbia Engineering | Industrial Engineering and Operations Research
Julie Kornfeld, Mailman School of Public Health | Epidemiology
Zoran Kostic, Columbia Engineering | Electrical Engineering
Michael Krisch, Graduate School of Journalism
Kriste Krstovski, Data Science Institute and Graduate School of Business
Laura Kurgan, Graduate School of Architecture, Planning and Preservation
Charles Lang, Teachers College | Learning Analytics
Michelle Levine, Columbia Engineering | Computer Science
Costis Maglaras, Graduate School of Business
Kyle Mandli, Columbia Engineering | Earth and Environmental Engineering
Galen McKinley, Arts and Sciences | Earth and Environmental Sciences
Gary Natriello, Teachers College
Ronald Neath, Arts and Sciences | Statistics
John Paisley, Columbia Engineering | Electrical Engineering
Desmond Patton, School of Social Work
Itsik Pe'er, Columbia Engineering | Computer Science
Joyce Robbins, Arts and Sciences | Statistics
Dustin Rubenstein, Arts and Sciences | Ecology, Evolution and Environmental Biology
Juan Francisco Saldarriaga, Graduate School of Journalism
Cliff Stein, Columbia Engineering | Computer Science & Industrial Engineering and Operations Research
Brent Stockwell, Arts and Sciences | Biological Sciences and Chemistry
Eric Talley, School of Law
Wesley Tansey, Vagelos College of Physicians and Surgeons | Systems Biology
Nicholas Tatonetti, Vagelos College of Physicians and Surgeons | Biomedical Informatics, Systems Biology and Medicine
Max Topaz, School of Nursing | Nursing Scholarship and Research
Tianna Uchacz, Arts and Sciences | History
Maria Uriarte, Arts and Sciences | Ecology, Evolution and Environmental Biology
Venkat Venkatasubramanian, Columbia Engineering | Chemical Engineering
Melanie Wall, Mailman School of Public Health | Biostatistics
Ying Wei, Columbia University Medical Center/School of Public Health | Biostatistics
Chris Wiggins, Columbia Engineering | Applied Physics and Applied Mathematics and Vagelos College of Physicans and Surgeons | Systems Biology
Rebecca Wright, Barnard College | Computer Science


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