What We Do
We leverage Two Sigma’s people, data science skills, and technological know-how to support our partners in their effort to use data more effectively.
We believe rigorous data analysis can help organizations in many ways. Optimizing daily operations, quantifying impact, and understanding how you can affect even greater change in the service of your community to name a few.
We share our expertise, teach our way of thinking, and source the right talent from within Two Sigma to address our partners’ particular challenges.
Read more: Data for Good: A Corporate Perspective
How We Work
One way we believe we can deliver value to the community is by contributing in kind. Volunteer efforts at the Data Clinic are rooted in our core skills and competencies, and all employees have the opportunity to donate their time and analytic expertise to social good projects.
Our carefully assembled volunteer engagement team partners closely with an organization over a three-to-four-month period to manage the project from discovery to delivery.
We start by getting on the same page: aligning on scope, deliverables, format, and timing. Over the course of the engagement, we stay connected to ensure our partner is learning along the way.
Learning more about your mission, your organization, and your needs helps us understand the hard problems you face and how we can partner with you.
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The CollegeBound Initiative (CBI), a division of the Young Women’s Leadership Network, partners with 30+ NYC schools to help get students into college. CBI needed a way to measure their past success, and to set performance targets for future partner schools. Data Clinic volunteers calculated the effect of CBI on partner schools and provided CBI with an interactive worksheet they could use to set future expectations.
DonorsChoose.org, an online platform for public school teachers to post requests for classroom materials, needed a way to understand which projects got fully funded (and which didn’t), and the types of people funding them. Data Clinic volunteers built models to help identify these characteristics. DonorsChoose.org now has a data-driven plan to help teachers get the most out of their posts, and to target marketing efforts.
The Environmental Defense Fund (EDF) is committed to improving the enforcement of safety regulations in the oil and gas industry. State agencies have limited resources to conduct inspections of oil and gas wells. A Data Clinic team analyzed more than 132,000 inspections in Pennsylvania to identify well sites at-risk of having more violations, so EDF can better work with agencies to focus their future inspections efforts.
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The HOPE Program helps disadvantaged New Yorkers find employment. HOPE offers a 12-week general course and an 8-week specialized course focusing on the retail food industry. Which one works better? A Data Clinic analysis revealed that participants with specific characteristics did better in certain courses. Guiding participants toward these programs could ensure greater success.
The Vera Institute of Justice discovered there was a growing urban-rural divide in local jail populations, but they needed help looking into the drivers of this trend. Using jail data along with county and state socio-demographics, a team of Data Clinic volunteers constructed a model that could explain half of the urban-rural variation. They used this model to identify counties with exceptionally high/low local jail rates for future research.