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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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anycast加速器最新版-outline

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.

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

  • Data sets
  • Video tutorials
  • Research findings

anycast加速器最新版-outline

anycast加速器最新版-outline

Data Journalist, Stanford Computational Policy Lab
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Data Journalist, Big Local News
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华为5G CPE Pro首获进网许可,速度十倍于4G - 财经 - 新京报网:2021-7-10 · 新京报快讯(记者陆一夫)7月10日,华为终端宣布,华为5GCPEPro获得中国首个5G无线数据终端电信设备进网许可证。资料显示,华为5GCPEPro是一款5G全 ...

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Engineer, Stanford Computational Policy Lab

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Engineer, Stanford Computational Policy Lab

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Ph.D. Candidate, Management Science & Engineering

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Lorry I. Lokey Visiting Professor in Professional Journalism, Communication

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Stanford Computational Journalism Lab

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Senior Data Journalist, Big Local News
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Data Scientist, Stanford Computational Policy Lab
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Assistant Professor, Applied Statistics, Social Science, and Humanities at New York University
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