Learning Collider is a social science research lab accelerating social impact through untapped data, technology platforms, and collaborative research.

Our growing research portfolio spans sectors, applications, and geographies but common threads tie each research partnership and project together. Those threads include real-world research using real-time data intertwined with the opportunity to scale *real* social and economic mobility. In short, we’re researchers grounded in the real world, not the ivory tower.

From Silicon Valley startups to remote learning in Botswana to hiring AI used by Fortune 500 companies, Learning Collider: 
- Connects to and analyzes high-dimensional, real-time data sourced from technology platforms owned and operated by public or private partners
- Pairs, supports, and trains applied researchers to work in novel, evolving data environments
- Builds research infrastructure within technology platforms to embed mechanisms for continuous testing, experimentation, and monitoring
- Conducts rigorous studies focused on improving lives and livelihoods, i.e. scaling economic mobility interventions, designing fair algorithms, and building responsible technology

Unlike many research labs, we operate largely outside of university systems, enabling flexibility in working with partners and research affiliates. This also positions us to connect researchers across institutions and geographic boundaries with high-value datasets and partners. 

Sharing our how-what-why is core to our work. Generally, technology and unintentional harm driven by technology are opaque. Here on LinkedIn, we share relevant and timely insights to support responsible and actionable tech decision-making, startup tech design, and policy-making.

Technology

Social Impact

Research

Learning Collider

Peter Bergman

Brooke Berman

Riddhima Mishra

Jasmin Dial

The Data & Research Team at Learning Collider is dedicated to leveraging high-dimensional, real-time data to conduct rigorous social science research aimed at accelerating social impact. They connect with technology platforms from varied sectors and geographies to support, train, and embed applied researchers within evolving data environments. This team is instrumental in building research infrastructure for continuous experimentation and monitoring, ensuring the scalability of economic mobility interventions, the fairness of algorithms, and the development of responsible technology. Their work bridges data science and social impact to drive real-world change.

Data & Research Team

About

Team members