Learning Collider
Riddhima Mishra is a Research Director at Learning Collider, where Riddhima utilizes tools from economics and machine learning to impact education, housing, and employment. With experience in leading research projects at various organizations such as India Health Action Trust, Abdul Latif Jameel Poverty Action Lab, Evidence for Policy Design, and University of Chicago Urban Labs, Riddhima has a solid background in social impact and policy research. Additionally, Riddhima has also served as a Legislative Assistant to Member of Parliament at the Parliament of India, showing their diverse expertise in legislative matters.
Learning Collider
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.