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.
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Industry
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Research Services
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Company size
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11-50 employees
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Headquarters
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New York City
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Type
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Nonprofit
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Founded
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2022
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Specialties
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research, economics, impact, machine learning, technology, education, workforce, higher ed, frontline workers, data science, housing, public policy, algorithm fairness, algorithm bias, responsible technology, social impact, economic mobility, upward mobility, equality, data analytics, explainable AI, responsible AI, affordable housing, k-12 education, upskilling, economic opportunity, neighborhoods, social innovation, social policy, and social sciences
