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So far rayid has created 122 blog entries.

Introducing the Data Maturity Framework

2018-12-13T11:37:12-06:00

Introducing the Data Maturity Framework 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 [...]

Introducing the Data Maturity Framework2018-12-13T11:37:12-06:00

You say you want Transparency and Interpretability?

2018-05-12T14:07:08-05:00

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 [...]

You say you want Transparency and Interpretability?2018-05-12T14:07:08-05:00

Data Science For Social Good 2016 Applicants

2018-05-12T14:07:09-05:00

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 [...]

Data Science For Social Good 2016 Applicants2018-05-12T14:07:09-05:00

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

2018-05-12T14:07:45-05:00

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 [...]

Announcing Diogenes: all the Machine Learning code you’ll never have to write2018-05-12T14:07:45-05:00

The Greatest Technical Challenge of Our Day… Reading CSVs

2018-05-12T14:07:47-05:00

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 [...]

The Greatest Technical Challenge of Our Day… Reading CSVs2018-05-12T14:07:47-05:00

2016 Applications are now open!

2018-05-12T14:07:48-05:00

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 [...]

2016 Applications are now open!2018-05-12T14:07:48-05:00

What Makes a Good DSSG Project?

2021-11-16T16:03:39-06:00

Apply to be a Project Partner for 2022 What Makes a Good Data Science for Social Good Project? 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 [...]

What Makes a Good DSSG Project?2021-11-16T16:03:39-06:00

Reducing Adverse Police Interactions

2018-05-12T14:07:50-05:00

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 [...]

Reducing Adverse Police Interactions2018-05-12T14:07:50-05:00

EPA: Data-Driven Hazardous Waste Detection

2018-05-12T14:07:51-05:00

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 [...]

EPA: Data-Driven Hazardous Waste Detection2018-05-12T14:07:51-05:00

Our Knight News Challenge Submissions

2018-05-12T14:07:51-05:00

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 [...]

Our Knight News Challenge Submissions2018-05-12T14:07:51-05:00
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