Innovations in Methods and Data

Led by Faculty Affiliate Giulio De Leo, Stanford scientists in Senegal hunting for schistosomiasis—a parasitic disease infecting 250 million people worldwide—used AI to transform local field work into satellite-powered risk analysis.

In order to make malaria diagnosis faster, more accurate, and more accessible, researchers in Manu Prakash's lab have developed a robotic device, called Octopi, that automatically diagnoses malaria in blood smears.

The Stanford Human Trafficking Data Lab, in partnership with Brazil’s Federal Labor Prosecution Office (FLPO), is developing Chain-Link, a new data-driven technical tool to map exploitative supply chains.

A study co-authored by Faculty Affiliate Alison Hoyt provides the first data-driven map of both newly documented and predicted peatlands across Colombia’s eastern lowlands.

Arun Chandrasekhar was recognized for his work regarding the impacts of social and economic networks in developing countries where formal institutions are typically weak.

Faculty Affiliate William Tarpeh takes a creative approach to extracting needed resources such as ammonia from wastewater streams.

The economist weighs in on incremental innovation, data-driven impact, and how economics is evolving to include a healthy dose of engineering.

In rural Burundi, Postdoctoral Fellow Nicholas Swanson investigates why employers under-invest in training their employees in general skills.

Ami Bhatt speaks on the Transforming Healthcare podcast about the future of patient monitoring, and how LMICs can play a part in developing the technologies of the future.

As featured in Nature Human Behaviour, Faculty Affiliate Susan Athey is investigating low-cost scalable interventions to improve the quality of information circulating online.

Faculty Affiliate Patricia Bromley speaks on a FreshEd podcast about the World Education Reform Database she co-developed.

A study co-authored by Faculty Affiliates Eric Lambin and Jenna Davis found almost no agreement among four widely used poverty measurement approaches.

A Medium audio interview with Faculty Affiliate Susan Athey describes how her lab uses technology and social science to improve the effectiveness of social sector organizations.

Members of a King Center initiative investigate possible trafficking sites in Brazil while working to expand an AI database designed to find illegal camps more efficiently.

King Center undergraduate research assistant Thay Graciano spent her summer in Brazil with faculty members and researchers of the Stanford Human Trafficking Data Lab.