SRI International
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Lessons Learned Estimating Impacts of Extreme Weather on District-Level Achievement
Abstract The study highlights limitations of using integrated district-level education and county-level weather event data to estimate effects of weather events on student achievement. Limitations included imprecise geographic linkage between weather events and school district, lack of detailed measures of event intensity, and confounding from pre-existing district differences and post-disaster population displacement. These issues may…
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Pedro Sequeira: Bridging the gap between humans and machines
Working in SRI’s AI Center, Sequeira creates autonomous systems that learn, reason, and adapt under uncertainty.
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Evaluation of the Career Connect Pathway Project. Final Report.
Abstract The Career Connected Pathways (CCP) project was designed to increase the number of high school students who graduate prepared to pursue high-wage, high-demand careers in computer science and cybersecurity. Launched in 2020 by the Center for the Future of Arizona (CFA) in partnership with Jobs for the Future and other intermediaries, and funded by the…
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FOX Three Molecular Guidance System
FOX Three enables cell-selective, intracellular delivery of macromolecular cargoes for applications such as cancer diagnosis and treatment
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Deepfake detection
SRI speech and video experts developed new AI-driven technologies to identify synthetic and manipulated media.
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NASA Europa Clipper
The two cameras in the NASA Europa Clipper’s Europa Imaging Systems (EIS) rely on an eight-megapixel sensor designed by SRI.
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Interpolative Decoding: Exploring the Spectrum of Personality Traits in LLMs
Abstract Recent research has explored using very large language models (LLMs) as proxies for humans in tasks such as simulation, surveys, and studies. While LLMs do not possess a human psychology, they often can emulate human behaviors with sufficiently high fidelity to drive simulations to test human behavioral hypotheses, exhibiting more nuance and range than…
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Developing and Validating a Practitioner Toolkit to Scale and Sustain Collaborative Data Inquiry
This is the first impact study of Data Wise, which supports educators in using collaborative data inquiry to drive continuous improvement of teaching and learning.



