# 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)*** Sort 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)*** Sort 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](https://researchers.mgh.harvard.edu/profile/9879899/Adeline-Boatin) (Harvard Medical School, Massachusetts General Hospital) - [Amulya Yadav](http://amulyayadav.com/) (Penn State University) - [Aparna Hegde](https://in.linkedin.com/in/dr-aparna-hegde) (ARMMAN) - [Bethany Hedt-Gauthier](https://www.bethanyhedtgauthier.com/) (Harvard T.H. Chan School of Public Health, Harvard Medical School) - [Bryan Wilder](https://bryanwilder.github.io/) (Carnegie Mellon University) - [Diana Freed](https://dfreed.me/) (Harvard University: CRCS and Berkman Klein Center) - [Elizabeth Bondi-Kelly](https://sites.google.com/view/elizabethbondi) (University of Michigan) - [Gari D Clifford](https://bme.gatech.edu/bme/faculty/Gari-D-Clifford) (Georgia Institute of Technology, Emory University) - [Grace Chan](https://ghsm.hms.harvard.edu/faculty-staff/grace-chan) (Harvard T.H. Chan School of Public Health) - [Henning Tiemeier](https://www.hsph.harvard.edu/profile/henning-tiemeier/) (Harvard T.H. Chan School of Public Health) - [Isabel Fulcher](https://www.isabelfulcher.com/) (Delfina) - [Judd Walson](https://pure.johnshopkins.edu/en/persons/judd-walson) (University of Washington, Johns Hopkins Bloomberg School of Public Health) - [Kai Wang](https://guaguakai.com/) (Georgia Institute of Technology) - [Karen Finnegan](https://ghsm.hms.harvard.edu/faculty-staff/karen-finnegan) (Harvard Medical School) - [Kristyn Beam](https://www.childrenshospital.org/directory/kristyn-beam) (Harvard Medical School, Beth Israel Deaconess Medical Center) - [Lauren Steimle](https://sites.gatech.edu/steimle/) (Georgia Institute of Technology) - [Matthew Bonds](https://ghsm.hms.harvard.edu/faculty-staff/matthew-bonds) (Harvard Medical School) - [Mercy Asiedu](https://mercynasiedu.com/) (Google Research) - [Milind Tambe](https://teamcore.seas.harvard.edu/tambe) (Harvard University, Google Research) - [Naveena Karusala](https://naveenak.webflow.io/) (Harvard University: CRCS) - [Niclas Boehmer](/niclas-boehmer.com) (Harvard University) - [Puneet Sharma](https://connects.catalyst.harvard.edu/Profiles/display/Person/199009) (Harvard Medical School, Boston Children's Hospital) - [Ryan McAdams](https://www.pediatrics.wisc.edu/staff/mcadams-ryan/) (University of Wisconsin) - [Sanket Shah](https://sanketkshah.github.io/) (Harvard University) - [Sarah Morton](https://www.childrenshospital.org/directory/sarah-morton) (Harvard Medical School, Boston Children’s) - [Sriraam Natarajan](https://utdallas.edu/~sriraam.natarajan/) (University of Texas Dallas) - [Stéphane Verguet](https://www.hsph.harvard.edu/stephane-verguet/) (Harvard T.H. Chan School of Public Health) - [Young Kim](https://web.ics.purdue.edu/~kim50/) (Purdue University) ## **Organizers** Sort **Niclas Boehmer** Harvard **Puneet Sharma** Boston Children's Hospital Please don't hesitate to reach out to us with any questions, ideas, or concerns! ## **Advisory Committee** Sort ![Milind Tambe headshot](/sites/g/files/omnuum6171/files/crcs/files/img_people_tambe_page.jpg) **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.