Technology & Society A searchable inventory of investments and stories Displaying 1-10 of 49 results Filter results Filter results Impact area Climate | Energy | Environment Democracy | Governance Economic Opportunity Education | Social Mobility Health Identity Law | Justice | Safety Migration Stanford Impact Labs Technology & Society Investment stage Stage 1: Seed Partnerships Stage 2: Test Solutions Stage 3: Amplify Impact Program Design Fellowship Emerging Scholars Fellowship Evidence for Change Fellowship Evidence for Policy Fellowship PhD Fellowship Postdoctoral Fellowship Scholars in Service Undergraduate Major in Data Science & Social Systems Content type Article Investment Organization Person Article / April 13 2026 Research Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors Article / November 01 2024 Research Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles investment / Stage 1: Seed Partnerships Large Language Models for Election Information Interview / May 26 2026 Accelerating the Possible Lukas Althoff Alex Carr Feature / June 03 2026 A Solution Big Enough: Stanford’s Data-Driven Fight Against Modern Slavery in Brazil Kate Green Tripp Article / May 04 2026 What National Evidence Reveals About Strict School Phone Bans Sara Zaske Article / April 10 2026 Research Engaging Patients in AI Governance Article / March 25 2026 Building Trustworthy AI to Support Migration Decisions Fiona J. McEvoy Kate Green Tripp Article / December 16 2025 How a Stanford Lab is Helping Brazil Detect and Prosecute Modern Slavery Beth Duff-Brown Article / September 18 2025 Research Building Consensus for Responsible AI in Healthcare Pagination Current page 1 Page 2 Page 3 Page 4 Page 5 Next page Last page Share this page
Article / April 13 2026 Research Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors
Article / November 01 2024 Research Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles
Feature / June 03 2026 A Solution Big Enough: Stanford’s Data-Driven Fight Against Modern Slavery in Brazil Kate Green Tripp
Article / March 25 2026 Building Trustworthy AI to Support Migration Decisions Fiona J. McEvoy Kate Green Tripp
Article / December 16 2025 How a Stanford Lab is Helping Brazil Detect and Prosecute Modern Slavery Beth Duff-Brown
