We wanted to share an update with you from the Data Science for Social Good Fellowship team. Based on the funding situation and other projects that we’re launching and continuing, we have decided not to run a DSSG summer fellowship this summer. I know this will come as a disappointment to a lot of you [...]
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Resources in this post: Blank Project Scoping Worksheet and a filled out Project Scoping Worksheet . Over the past several years, the University of Chicago Center for Data Science and Public Policy and the Data Science for Social Good Fellowship have worked on over 40 data science projects and one (unsurprising) lesson we’ve learned over those years is [...]
In our four years of running the Data Science for Social Good Fellowship and the Center for Data Science and Public Policy, we have talked to hundreds of organizations about their data, technology, missions, culture, pain points, and impact. For the projects we take on during DSSG , we look for certain common features. But we [...]
We keep hearing and saying that in order to implement and correctly use machine learning and predictive models , they must be transparent and interpretable. That makes sense. You don't want a black box model making important decisions -- although one could argue that the guts and intuitions of many human beings are often as [...]
Fellow applications for the 2016 Summer Fellowship are all in and we have been busy reviewing the 900 we received! As we go through the very high (virtual) stack of applications, resumes, and recommendation letters (with the help of many alumni fellow and mentors), we wanted to share with everyone a little bit more about who applied [...]
At the Center for Data Science and Public Policy, we work on problems across different policy areas and develop machine learning (ML) solutions that span all these area , from education to public health to government transparency to public safety data. Building machine learning/data science systems often involves coming up with a software workflow and writing variations on [...]
Many data science projects follow the following workflow Define problem Get data Analyze the data (that may include building predictive models) Report the results of the analysis. Implement results into an operational system The move from step 1 to step 2 is often not trivial. First, the project partner needs to extract data from their systems and [...]
We're excited and happy to start the application process for 2016. Applications are now open for Fellows, Mentors, Project Managers, and Project Partner Organizations. We expect to take around 42 fellows, 4-6 Technical Mentors, 3 Project Managers, and 12 Project Partners. We encourage everyone to read the FAQ before applying. Most [...]
Apply to be a Project Partner for 2018 Data Science for Social Good is a summer program that requires year-round preparation. A successful summer requires a mix of good people and projects, and we spend a lot of time trying to find projects to solve and the people to solve them. [...]
Over the past year, the nation has faced a series of highly publicized adverse interactions between the police and the public, from Ferguson to Baltimore to New York. These incidents have had dire and occasionally deadly consequences for individuals and have eroded public trust in the police, making it more difficult for the majority of [...]