Healthy Homes, Healthy Habits

In this study we build on the strengths of established Home Visitation Programs, which serve at-risk, low-income, diverse mothers and their infants, to test a weekly, in-home childhood obesity prevention model. We promote healthy eating and activity habits in the family, and modify the home environment and families' social networks so that they provide support for their healthy habits. 

Funder: NIH/NICHD R01HD092483 (PIs: K. de la Haye, S.J. Salvy)

Smart & Connected Community Food Systems

This project is aimed at connecting policymakers, organizations, and other stakeholders addressing food challenges with timely and actionable information about the local food systems, so they can meet the needs of residents to access sufficient healthy food.

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Funders: National Science Foundation (Grant No. 2125616, PI: de la Haye), USC Dornsife Public Exchange, American Heart Association, Keck Medicine of USC, Keck School of Medicine, USC Dornsife Emergency Fund

Using Big Mobility Data to Map the Food Environments of Diverse Los Angeles Residents

This pilot study uses big data on human mobility to understand how people move around a large city to access and acquire food, within and beyond the home neighborhood. We use new data science methods to understand access to mobile food environments for diverse populations, and how this is related to socio-demographics, diet, and health.

Funder: University of Southern California, Keck School of Medicine (PIs: K. de la Haye, E. Moro, S. Pentland)

Stay Connected Los Angeles: A Public Health & Arts Campaign to Mitigate the Impact of COVID-19

This project works with local artists and community partners to develop, implement, and test an innovative public health campaign on COVID-19 that is tailored for Hispanic/Latinx communities in Los Angeles. It addresses knowledge gaps and misinformation, encourages uptake of vaccinations and risk-reducing behaviors, and promotes social connectedness.

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Funders: Keck School of Medicine of USC COVID-19 Research Fund (PIs: L. Baezconde-Garbanati, K. de la Haye)

Network Science of Teams

This Multi-University Research Initiative (MURI) supports a multidisciplinary team with expertise in cognitive and behavioral science, sociology, computer science, network science and statistics to generate multilevel, dynamic models of teams that explain various dimensions of performance and success. The resulting conceptual and statistical models that relate group composition, interaction patterns, and network evolution to task performance, will break new ground in understanding the optimal design of teams for complex tasks.

Funder: U.S. Army Research Office, W911NF-15-1-0577 (PIs: Singh, Bullo, de la Haye, Friedkin, Malone, Uzzi)

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Monitoring and Modeling Family Eating Dynamics (M2FED)

This project proposes M2FED – a system of in-home beacons, wireless and wearable sensors, and smartphones that provide real-time data on families eating in the home. The goal is to monitor and model family eating dynamics in real time, and ultimately  develop  just-in-time, adaptive interventions.

Funder: NSF IIS-1521740 (PI: D. Spruijt-Metz)

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