The Stanford Open Policing Project: Inside 60 Million Police Stops
A McCormick Specialized Reporting Institute
Travel scholarships are available for this seminar.
We invite journalists from all media platforms and all market sizes to attend this tuition-free one-day hands-on workshop that we will hold as a pre-session to the Investigative Reporters and Editors conference in Phoenix.
For the first time, researchers at Stanford University examined the records from more than 60 million state patrol stops from 20 states between 2011 and 2015. The Stanford study found that police stopped black drivers more often than white drivers relative to their share of the driving-age population, but that Hispanic drivers were stopped less often than whites. The study discovered that among stopped drivers, blacks and Hispanics were more likely to be issued a citation, more likely to be searched and more likely to be arrested than white drivers. The researchers note that these disparities may stem from a variety of factors and are not necessarily due to racial bias. However, by examining both the rate at which drivers are searched and the likelihood searches turn up contraband, they find evidence that the bar for searching black and Hispanic drivers is lower than for searching whites.
This workshop will help journalists adapt the data and produce stories from it. While the data analysis by Stanford only covers 20 states where the data that was good enough to analyze, the researchers say they have found consistent trends that speak to national issues. Researchers just received data from New Jersey, but this state is not in their academic paper. There are 11 other states where they received data but it was not enough to do strong analysis with.
The 20 states that we will supply data for are: Arizona, California, Colorado, Connecticut, Florida, Illinois, Massachusetts, Maryland, Montana, Missouri, Nebraska, New Jersey, North Carolina, Ohio, Rhode Island, South Carolina, Texas, Vermont, Washington and Wisconsin.
In this workshop, we will:
- Explain the findings from the Stanford study
- Help journalists discover the local stories for their states and major cities buried in the data
- Teach journalists how to use the data by understanding the nuances that come with analyzing racial disparities and in dealing with such large data sets from many agencies
- Show journalists how to utilize R and R Studio to analyze the data.
Time and Location:
- Note: You must apply in advance and be accepted to be able to attend. Seats are limited.
- Noon-6 p.m., Wednesday, June 21, 2017
- JW Marriott Phoenix Desert Ridge, 5350 East Marriott Drive, Phoenix, Arizona 85054
Cost: Thanks to a grant from the Robert R. McCormick Foundation, one night of hotel costs will be covered for those whose applications are accepted. For participants who need help with airfare, The Stanford Open Policing Project, with support from the John S. and James L. Knight Foundation, has a limited scholarship fund to cover those costs. In the application, just note if you are applying for hotel and/or air travel scholarships. We expect that many of the journalists who will participate ion this workshop are already planning to attend the IRE convention.
Please commit to attending the entire seminar, participating and taking your knowledge back to your newsroom, using it in your reporting, and teaching others what you learn.
In your application, we ask for an essay on why you want to come. Keep it very brief and focus on how this training will help you in your work and what you plan to do with it.
Without a doubt, we will have many more applicants than we will have seats, so we will choose a diverse range of media, market size and geographic location. Freelancers are welcome if their work regularly appears in media reporting. We would welcome one or two university faculty who are interested in applying this learning in the classroom.
Offered in partnership with:
Senior Faculty, Broadcast and Online
Lorry I. Lokey Visiting Professor in Professional Journalism, Stanford University
Assistant Professor, Department of Management Science & Engineering, Stanford University
Senior Editor for Data Journalism, The Center for Investigative Reporting