?? We're #hiring! Our growing lab is on the lookout for a Director of #Operations, someone to support critical #ops functions organization-wide, an enthusiastic team player, and a mission-driven problem solver. ?? Please share widely. ??
Learning Collider
研究服务
Build ? Research ? Scale Tech for Equity & Upward Mobility | Sectors: Education, Workforce, Housing
关于我们
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.
- 网站
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https://www.learningcollider.org
Learning Collider的外部链接
- 所属行业
- 研究服务
- 规模
- 11-50 人
- 总部
- New York City
- 类型
- 非营利机构
- 创立
- 2022
- 领域
- 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和social sciences
地点
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主要
US,New York City
Learning Collider员工
动态
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Enduring words of wisdom from Dave Anderson on what to do when findings don't go the way we expect. ?? "It takes courage to rigorously evaluate one’s life’s work—and even more to accept disappointing findings—but it is this courage that is necessary to do the hard work of finding solutions to the challenging problems facing society’s most vulnerable..." #RCT #scientificrigor #iteration #innovation
Here is an op-ed I just published on the importance of being clear-eyed about disappointing findings from rigorous evaluations, especially when there are scarce resources available to help our most vulnerable populations.
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As indicated by our name, our strongest partnerships are grounded in learning. Rigorous data science with partners can untangle messy unknowns that impact critical programs like HUD's Housing Choice Vouchers. Through our long-term partnership with AffordableHousing.com, we found that their Public Housing Authority clients were up against major challenges in managing and analyzing their voucher waitlists. Our data scientists got to work with one of their largest clients - Massachusetts NAHRO - analyzing waitlist data and identifying opportunities to help them make more informed, equitable and impactful decisions. We're looking forward to opportunities to apply these actionable learnings to support PHAs nationwide. Big thanks to Donna Brown-Rego of MassNAHRO for amplifying this work! #housing #section8 #research #publichousingauthority #hud
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??? We often describe our work as building paths to impact.?? One such path built on-ramps for: ??? AffordableHousing.com, a trusted search platform for affordable housing properties and programs in the U.S. ?? GreatSchools.org, a nationwide source for school quality information ?? Peter Bergman, Eric W. Chan, and Adam Kapor, a trio of researchers asking, How do low-income families with Section 8 vouchers consider school quality indicators when making decisions about where to rent? Supported by J-PAL North America, rigorous experimentation showed that school quality indicators -- an automated map layer on AffordableHousing.com's using data integration with GreatSchools.org -- increased families' moves to neighborhoods with higher-quality schools. This path didn't end with a roadblock. The data partnership and integration continues to this day, empowering all AffordableHousing.com users to seamlessly consider school quality indicators as a part of their rental search. #pathtoscale #impact #housing #Section8 #impacttech #dataforgood https://lnkd.in/ghektD3t
Providing School Quality Information to Improve Housing Mobility for Low-Income Families
https://www.youtube.com/
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For that co-worker who asks, "Why do we need to randomize?" ?? ?? A round-up of not-so random resources on the importance of randomization. If that co-worker is you, don't worry. We won't tell ?? #abtest #randomize #experiment #research
Randomization Round-Up: Some Not-So-Random Resources for Social Science Research — Learning Collider
learningcollider.org
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When research turns assumptions upside down... A common assumption is that families with Section 8 vouchers prefer to live in low-opportunity neighborhoods. Such preferences might include being close to family, habits formed around work and school commutes, familiarity with neighbors, etc. ??What if that's not the case? Turns out, barriers to higher-opportunity neighborhoods play a major role in where low-income Americans end up living. Today's #favoritefindings draw from: ?? Creating Moves to Opportunity: Experimental Evidence on Barriers to Neighborhood Choice ?? Peter Bergman, Raj Chetty, Stefanie DeLuca, Nathaniel Hendren, Lawrence Katz, Christopher Palmer Quotes from: https://lnkd.in/gBVrpPzf More at: https://lnkd.in/gMVzAGd6 #research #housing #impact #neighborhoods #Section8
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Hi all, we’re looking to collect detailed data on students solving math problems (eg algebra)—showing each step a student takes to attempt to solve the problem. We’re context agnostic and we can pay a reasonable data collection cost. Suggestions, connections, offers all welcome! Matthew A. Kraft?Jeff Livingston?Abhijeet Singh?Ariel Kalil?Noam Angrist?Claire Cullen
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Shout out to Peter Bergman, Learning Collider's founder and director, who is speaking at today's The LBJ School of Public Affairs' Policy Leadership in the Age of AI Symposium. ? Follow for insights from the symposium and our lab. ?? Peter's profile: peter-bergman.com #ai #aiedu #teaching #learning #airesearch
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Beyond #CSR and #ESG ?? "...social profit orientation embeds social impact directly into the organization’s mission, integrating social good with economic goals." Excellent commentary on how orienting towards 'social profit' isn't at the cost of financial profit. Even better to see a tech example in the mix ?? "Consider the arc of?Oportun Financial Corp., a California-based financial services company founded in 2005. Its leaders believe that “everyone deserves affordable credit,” not just people with ample income and credit scores. It invested in AI-driven platforms to assess the creditworthiness of people who often lack a credit score, enabling qualified borrowers to build credit histories and obtain reasonably priced loans while avoiding?payday lenders." ? Important to emphasize how the right resources - #research included - are necessary for successful #socialprofit orientation.
‘Social Profit Orientation’ Can Help Companies and Nonprofits Alike Do More Good in the World
philanthropy.com
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First nationally representative survey of generative AI usage in the US at work and at home, from Alexander Bick, Adam Blandin, and David J. Deming https://lnkd.in/gSTfJx_m
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