Brown University Datathon

Health AI Systems Thinking for Equity (HASTE)

Brown University Datathon

Health AI Systems Thinking for Equity (HASTE)

Health AI Systems Thinking for Equity (HASTE)

Thursday, June 6, and Friday, June 7
Sayles Hall
Brown University Campus

Since 2014, Dr. Leo Celi of MIT Critical Data has led collegial Datathons built to encourage a hive of Data Scientists and Medical Experts to solve healthcare problems cooperatively. Recently, Dr. Celi developed a Health AI Systems Thinking for Equity (HASTE) workshop as a forum for people to analyze, discuss, and mitigate unintentional bias within the data used during machine learning and generative AI to make health care decisions.

The Brown University HASTE Datathon uniquely includes high school students and their teachers to educate communities about how AI bias impacts health care. By teaming high school students with data science and healthcare communities, we aim to teach that society needs people of diverse cultures and backgrounds to address bias in AI predictions, contribute to a more equitable healthcare system, and mitigate future problems. We hope this datathon will increase student interest in and awareness of related high-paying careers and contribute to broadening participation in the STEM workforce.

This datathon is a workforce experience and culminating event for Rhode Island High School Students (Grades 9-12) participating in Data Science, AI and You (DSAIY) in health care (www.dsaihealthed.org/).  East Bay Educational Collaborative (EBEC) leads DSAIY in partnership with MIT Critical Data, TERC, and Scoutlier by Aecern. The program is piloted with Rhode Island Teachers and Schools via an award (#2148451) from the *National Science Foundation (NSF) Innovative Experiences for Students and Teachers (ITEST).

Through sponsoring this event, Brown University is contributing to educating diverse Rhode Island students, building partnerships between communities and schools, many of which are located in Providence, and demonstrating that collegiality and collaboration are critical for successfully mitigating and potentially eradicating bias in all its forms.
 

*Any opinions, findings, conclusions, or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the view of the National Science Foundation.     

Schedule

Click the tabs below to see the full schedule for each day.

Day 1 - June 6, 2024

8 - 8:20 a.m.     Meet & Greet Breakfast;  Senator Jack Reed Pre-Recorded Remarks

8:20 - 8:30 a.m.    Welcome! Kathryn Jessen Eller and the Datathon Committee (Leo Celi, Hamish Fraser, Sandeep Jain, Doug Rademacher, Jillian Schneider, Erika Sevetson, Ece Uzun, Jeremy Warner)

8:30 - 8:45 a.m.   Opening remarks from the Commissioner of Education Angelica Infante-Green

8:45 - 9:15 a.m.    Keynote Speakers Asieh Golozar and Christian Reich

9:15 - 9:45 a.m.    Icebreaker Activity

10 a.m. - 12 p.m.  Datathon: Digging into Data; The Backstory/History of the Data; Introduction to the Datathon Tasks, Selecting a Cohort & Degrees of Missingness

12 - 12:30 p.m.  Lunch

12:30 - 3 p.m.  Digging into Data Continued

3 - 3:15 p.m.   Wrap up and Reflection/ Discussion

 

8 - 8:30 a.m.  Meet & Greet Breakfast

8:30 - 9:30 a.m.  Presentation of Data Discoveries Part 1  

9:30 a.m. - 12 p.m.  HASTE Policy Workshop- Leo Celi

12 - 12:30 p.m.  Lunch

12:30 - 1:30 p.m.  Presentation of Data Discoveries Part 2  

1:30 - 2:30 p.m.  Panel discussion- Sandeep Jain

2:30 - 2:45 p.m.  Discussion and Reflection

2:45 - 3:30 p.m.  Acknowledgements/ Certificates (Dean of Medicine and Biological Sciences Dr. Mukesh K. Jain and Congressman Gabe Amo)

Sponsors and Support

Brown University HASTE Datathon is a collaborative effort between leaders of Data Science, AI and You in Healthcare program (Dr. Jessen Eller, Dr. Celi, Dr. Cassidy, and Ms. Brandy Jackson); the East Bay Educational Collaborative of Rhode Island; the Brown Center for Biomedical Informatics (Dr. Hamish Fraser and Dr. Elizabeth Chen); and Brown Lifespan Center for Clinical Cancer Informatics and Data Science (Dr. Jeremy Warner).

Acknowledgements

We are grateful to all who have contributed to creating this engaging student-focused datathon. Thank you to:

  • Our Brown University committee members, Dr. Jeremy Warner, Dr. Ece Uzun, and Dr. Sandeep Jain of CCIDS, Dr. Hamish Fraser of BCBI, Erika Sevetson of Health and Biomedical Library Services; Dr. Leo Celi of MIT Critical Data; Dr. Kathryn Jessen Eller; and our outstanding event planner, Jillian Schneider of the East Bay Educational Collaborative.

  • DSAIY leaders, Dr. Kathryn Jessen Eller, Dr. Leo Celi, Dr. Michael Cassidy, Brandy Jackson, Beth Price and Luk Hendrik.

  • DSAIY advisors, Dr. Donna Ottaviano of EBEC, Dr. Celeste Bowler of East Providence Public Schools, Dr. David Upegui of Central Falls High School, and Dr. Joshua Rosenburg of the University of Tennessee

  • Today’s speakers, Asieh Golozar and Christian Reich, and DSAIY collaborator and panelist, Dr. Judy Wawira Gichoya.

  • Commissioner Infante-Green, Congressman Gabe Amo, and Senator Jack Reed, for your participation and remarks.
     
  • All our mentors (teachers, data scientists, AI experts, medical doctors, and health care workers) who volunteered to join us today and work with high school students to reveal and demonstrate that diverse approaches and methods are necessary to understand and mitigate AI bias.
     
  • And all students, who we hope will be inspired and motivated to pursue related careers, educate their communities, and contribute towards a better, more equitable future for us all.