Computing for Population Maternal and Child Health

The Harvard CRCS workshop on Computing for Population Maternal and Child Health aims to bring together experts from different fields utilizing computational methods (such as AI or operations research) to improve public health related to maternal and child healthcare. This rapidly emerging space boasts a vibrant, fast-growing community full of innovation and challenges. The goal of our workshop is to highlight significant milestones in the field and identify pivotal problems and opportunities for future research. By convening experts from diverse institutions and backgrounds, we seek to foster new collaborations and nurture the development of innovative project ideas.

Schedule

Day 1:
Thursday, April 25 (2.118 @ Harvard, SEC)

8:30am	Breakfast
9am	Welcome
9:30am	Session 1: Clinical Challenges Adeline Boatin ^{IT for Global Maternal Health Care and Research: Illustrating Opportunities and Challenges from Case Studies in Ghana and Uganda} Kristyn Beam ^{Overcoming the Hurdles of Harnessing AI for Clinical Challenges in Neonatology} Sarah Morton ^{(Artificially) Intelligent Genomics} Henning Tiemeier ^{Maternal depressive symptoms and child brain development: Time and Timing} Judd Walson ^{Risk-differentiation to improve child survival in low- and middle-income settings}
11:15am	Break
11:45am	Public Keynote by Aparna Hegde (SEC 3.301/302/303) Leveraging technology to create scalable solutions in maternal and child health in India: the ARMMAN story
12:45pm	Break
1:15pm	Session 2: Predicting Outcomes Bethany Hedt-Gauthier ^{Integrating predictions into community health worker-led programs} Ryan McAdams ^{Beyond Intuition: Transforming Pediatric Care with AI-Powered Prognostics} Sriraam Natarajan ^{Human-allied Probabilistic learning for mitigation of adverse pregnancy outcomes} Elizabeth Bondi-Kelly ^{Understanding Access to Reliable Health Information in the Age of Generative AI}
3:00pm	Break
3:30-5:00pm	Session 3: Resource Allocation and Prioritization Sanket Shah & Kai Wang ^{Data-driven Decision-Making in Maternal and Child Health} Lauren Steimle ^{Mathematical modeling of obstetric unit closures: From the descriptive to the prescriptive} Bryan Wilder ^{Targeting interventions with machine learning in maternal health} Stéphane Verguet ^{Priory setting & modeling: some research opportunities}
6pm	Workshop dinner at Forage, 5 Craigie Cir, Cambridge

Day 2:
Friday, April 26 (2.118 @ Harvard, SEC)

8:30am	Breakfast
9:00am	Session 4: Analyzing and Collecting Population-Level Data Matthew Bonds & Karen Finnegan ^{Integrated Data Systems for Global Health Delivery} Isabel Fulcher ^{From Population-Level Monitoring to Personalized Care: Leveraging routinely collected data to prevent pregnancy complications} Grace Chan ^{Evidence-Based and Community-Driven Solutions for Maternal and Child Health} Gari D Clifford ^{Edge AI for 'predicting' fetal growth restriction and hypertensive disorders of pregnancy}
10:45am	Break & Transition to SEC 2.122/123
11:15am	Session 5: Digital (Assistance) Tools (SEC 2.122/123) Mercy Asiedu ^{Development and Evaluation of Deep Learning Models for Cardiotocography Interpretation} Diana Freed ^{Understanding Digital Safety Experiences of Youth} Naveena Karusala ^{Chatbots and Maternal and Child Health: From the Individual to the Structural} Young Kim ^{Utilizing the onboard smartphone cameras for medical-grade diagnostics (blood hemoglobin assessments) in maternal and child health} Amulya Yadav ^{Transforming Maternal Health in Kenya Through Large Language Models}
1:00pm	Lunch
1:45pm	Matchmaking Talks (SEC 2.122/123) Amulya Yadav (15 minutes) Young Kim (15 minutes) Mercy Asiedu (15 minutes) Aparna Hegde (15 minutes) Gari Clifford (10 minutes) Karen Finnegan (10 minutes)
3:05pm	Matching Breakouts + Break
3:30-4:00pm	Closing Discussions (SEC 2.122/123)
4:30-6:30pm	Happy hour at Grafton Street Pub, 59 John F. Kennedy St, Cambridge

Participants

Adeline Boatin (Harvard Medical School, Massachusetts General Hospital)
Amulya Yadav (Penn State University)
Aparna Hegde (ARMMAN)
Bethany Hedt-Gauthier (Harvard T.H. Chan School of Public Health, Harvard Medical School)
Bryan Wilder (Carnegie Mellon University)
Diana Freed (Harvard University: CRCS and Berkman Klein Center)
Elizabeth Bondi-Kelly (University of Michigan)
Gari D Clifford (Georgia Institute of Technology, Emory University)
Grace Chan (Harvard T.H. Chan School of Public Health)
Henning Tiemeier (Harvard T.H. Chan School of Public Health)
Isabel Fulcher (Delfina)
Judd Walson (University of Washington, Johns Hopkins Bloomberg School of Public Health)
Kai Wang (Georgia Institute of Technology)
Karen Finnegan (Harvard Medical School)
Kristyn Beam (Harvard Medical School, Beth Israel Deaconess Medical Center)
Lauren Steimle (Georgia Institute of Technology)
Matthew Bonds (Harvard Medical School)
Mercy Asiedu (Google Research)
Milind Tambe (Harvard University, Google Research)
Naveena Karusala (Harvard University: CRCS)
Niclas Boehmer (Harvard University)
Puneet Sharma (Harvard Medical School, Boston Children's Hospital)
Ryan McAdams (University of Wisconsin)
Sanket Shah (Harvard University)
Sarah Morton (Harvard Medical School, Boston Children’s)
Sriraam Natarajan (University of Texas Dallas)
Stéphane Verguet (Harvard T.H. Chan School of Public Health)
Young Kim (Purdue University)

Organizers

Niclas Boehmer
Harvard
nboehmer@g.harvard.edu

Puneet Sharma
Boston Children's Hospital
puneet.sharma@childrens.harvard.edu

Please don't hesitate to reach out to us with any questions, ideas, or concerns!

Advisory Committee

Milind Tambe headshot

Milind Tambe
Harvard / Google Research

Aparna Taneja
Google Research

Bethany Hedt-Gauthier
Harvard

Workshop logistics

Dates: April 25–26, 2024

Location: Harvard SEC, Room 2.118
Science and Engineering Complex
150 Western Ave, Boston, MA 02134

The SEC is located on Harvard's Allston campus, next to Harvard Business School.

Schedule

Participants

Organizers

Advisory Committee

Workshop logistics

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