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Colleague.AI Launch Event Program Agenda

May 15, 2024  4:00 – 5:30 pm PST

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WERA Conference

Dr. Sun joins a group of experts to discuss the pros and cons of AI in K-12 education at the pre-Conference of the Washington Educational Research Association

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Innovation Science for Education Analytics (ISEA): A Data Science Training Program to Advance Educational Research and Practice

With the rise of artificial intelligence (AI) in all aspects of society, there has been an increasing talent gap in AI and machine learning, especially in applying these tools in education. Through a collaboration between the UW College of Education, the UW eScience Institute, and faculty from other higher education institutions including the University of Oregon and the University of Maryland, a training program called Innovation Science for Education Analytics (ISEA) will launch in January 2024 thanks to a 3-year grant from the Institute of Education Sciences (IES).

ISEA seeks to advance computational and analytic capacity in K-12 education. The program will recruit a cohort of 15-20 fellows each year with the goal of developing a new pool of talented individuals who have integrated expertise across engineering, statistics, and K-12 education. ISEA is designed as a targeted training program that emphasizes state-of-the-art data analytics informed by education domain knowledge, computational workflows, immediate applications, and career advising. 

The program is recruiting education researchers, school district data analysts, and technology industry employees who have some background in statistics. Graduate students, post-doctoral students, early career researchers and assistant professors who are interested in deepening their knowledge of engineering and machine learning, specifically for education data science, are encouraged to apply. District and state data scientists as well as industry professionals who would like to shapen their skills or integrate educational domain knowledge in their work are also encouraged to apply.

To be eligible for the training program, fellows must:

  • Be a US citizen or permanent resident
  • Have obtained a bachelor’s degree by September 2023
  • Have at least some familiarity with statistics and computational software
  • Have a strong interest in educational data science
  • Maintain a commitment to collaboration and educational equity

We are currently recruiting our first cohort of fellows for the 2023-24 academic year. The first year of the program will run from January 2024 through July 2024 and will require a part-time commitment from fellows (approx. 3-5 hrs/wk remotely between January and May 2024 in addition to required full-time participation in an in-person one-week Hackweek in late June/early July 2024 in Seattle, WA). We will offer limited travel support for fellows who need financial support to attend in-person Hackweek. 

The application timeline is as follows:

  • August 15, 2023:         Application opens
  • October 21, 2023:         Application closes
  • November 6, 2023:       Interview notifications
  • November 27, 2023:   Final application decision notifications

For additional questions, please contact Lovenoor Aulck ( and Min Sun (

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