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On a typical day in the United States, police officers make more than 50,000 traffic stops. Our team is gathering, analyzing, and releasing records from millions of traffic stops by law enforcement agencies across the country. Our goal is to help researchers, journalists, and policymakers investigate and improve interactions between police and the public.

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Currently, a comprehensive, national repository detailing interactions between police and the public doesn’t exist. That’s why the Stanford Open Policing Project is collecting and standardizing data on vehicle and pedestrian stops from law enforcement departments across the country — and we’re making that information freely available. We’ve already gathered over 200 million records from dozens of state and local police departments across the country.

We, the Stanford Open Policing Project, are an interdisciplinary team of researchers and journalists at Stanford University. We are committed to combining the academic rigor of statistical analysis with the explanatory power of data journalism.

big流量站跑路了-猴王加速器

See the data behind our findings, and learn how to use it in your own analysis.

  • Data sets
  • Video tutorials
  • Research findings

big流量站跑路了-猴王加速器

big流量站跑路了-猴王加速器

Data Journalist, Stanford Computational Policy Lab
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big流量站跑路了-猴王加速器

Data Journalist, Big Local News
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big流量站跑路了-猴王加速器

Ph.D. Candidate, Computer Science

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Engineer, Stanford Computational Policy Lab

Joe Nudell

Engineer, Stanford Computational Policy Lab

Jan Overgoor

Ph.D. Candidate, Management Science & Engineering

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Lorry I. Lokey Visiting Professor in Professional Journalism, Communication

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Ph.D. Candidate, Computer Science

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Stanford Computational Journalism Lab

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Senior Data Journalist, Big Local News
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Amy Shoemaker

Data Scientist, Stanford Computational Policy Lab
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