Join us on October 28 for a discussion on AI and SBC program design with Elizabeth Long
The SBC Learning Group at MERL Tech CoP, co-led by Nicola Harford and Sarah Osman, is organizing an event with Elizabeth Long, focusing on how AI can support SBC program design.

Elizabeth Long is a Behavioral Designer and Researcher who integrates behavioral science with human-centered design, systems thinking, and AI in global health and global development. Her journey to becoming a behavioral scientist began after getting frustrated that many public health programs were not designed around the realities of people’s lives or around how people actually think and act. Elizabeth focuses on empowering underserved populations and improving social impact through participatory behavioral science-informed approaches. She first delved into AI by developing open-source case studies and prompt guides to improve AI-assisted behavioral science formative work and qualitative analysis. She has worked across a range of global health fields, including HIV, FP, malaria, GBV, MCNH, nutrition, and immunization.
Recently, Elizabeth has developed a comprehensive behavioral science program design tool that provides AI assistance to users, helping users with everything from defining a behavior to creating interview guides to analyzing qualitative data. For this event, we are inviting Elizabeth to share lessons from piloting the tool and, of course, have a broader conversation about AI literacy, ethical use, safety concerns, and practitioner needs.
We are planning on discussing:
- Piloting challenges, including rigor (or lack thereof) of AI-assist buttons for steps like interview guide generation and qualitative analysis
- Data and safety issues for users, especially communities that are served by health and development organizations
- How can this tool fill a skills gap for small organizations and/or is it empowering? Does it take away opportunities from individuals with years of expertise and skills currently doing this work? How do we assess those trade-offs?
- Would this be helpful for the global development space, or is this another tech-first, community-last initiative?
We are looking forward to discussing all of this and more! Register below to participate:
You might also like
-
AI Evals: How do we approach gender-intentional chatbots?
-
Nov 5th: Digital backlash, techno-authoritarianism and gender justice
-
Closer to Home: Radical Theories for Africa’s Digital Realities- Data Tamasha Africa Event Recap
-
Event recap: Launching the new book “Aid and ID: Making People Matter” with editor Margie Cheesman and book contributors
