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So far rayid has created 88 blog entries.

Announcing Diogenes: all the Machine Learning code you’ll never have to write

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 [...]

The Greatest Technical Challenge of Our Day… Reading CSVs

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 [...]

What Makes a Good DSSG Project?

Apply to be a Project Partner for 2017 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. In addition to [...]

Reducing Adverse Police Interactions

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 [...]

EPA: Data-Driven Hazardous Waste Detection

What’s the problem? Hundreds of millions of tons of hazardous waste are generated every year. When this waste isn’t handled properly, the results can be disastrous. Chemical spills and explosions pose a serious threat to human health and the environment -- in 2014, there were over 20,000 spills in the US, leading to more than [...]

Our Knight News Challenge Submissions

This year’s Knight News Challenge asks, “How might we make data work for individuals and communities?” Data Science for Social Good and its parent organization, the Center for Data Science and Public Policy, pursue answers to this question every day. We submitted four of our projects to this year’s challenge so we can develop them [...]

College Persistence: Helping Students Beyond High School Graduation

A college education is one of the keys to economic security and prosperity in the United States. Bachelor’s degree holders earn nearly twice as much as high school graduates, enjoy better health and hold jobs that offer a greater sense of accomplishment, independence, creativity, and social interaction (Oreopoulos and Petronijevic 2013). But there are large [...]

An Ethical Checklist for Data Science

As data scientists, we often get lost in the techniques and methods of our trade. In doing so, we can forget to ask important questions: who will be affected by our work? How we are ensuring that by doing ‘good’ for one group, we are not inadvertently harming another? Ethical controversies have dominated recent data [...]

Blight Prevention: Building Strong and Healthy Neighborhoods in Cincinnati

Many cities are working to prevent the negative impacts of vacant buildings caused by population loss. Cincinnati is one such city, with a more than 40% reduction in population since 1950 and a large stock of historic buildings. This effect coupled with the housing crisis of 2008 has produced new challenges in Cincinnati and many [...]

World Bank Integrity Vice Presidency Project: Kickstarting Data Science

Are you hearing a lot of data-themed buzzwords lately? Are you wondering whether the use of data science can help a project on which you are working? Using data makes it easy to prove the efficacy of a project and inform your decisions. More simply, data science is the process of taking all the data [...]