Philip Meyer Award

The National Institute for Computer-Assisted Reporting, a joint program of IRE and the Missouri School of Journalism; the Knight Chair at Arizona State University's Walter Cronkite School of Journalism and Mass Communication; and IRE are proud to have the Philip Meyer Journalism Award, a contest to recognize the best journalism done using social science research methods.

The awards are in honor of Philip Meyer, professor emeritus and former Knight Chair of Journalism at the University of North Carolina at Chapel Hill. Meyer is the author of Precision Journalism, the seminal 1972 book (and subsequent editions) that focused growing numbers of journalists on the idea of using social science methods to do better journalism. He pioneered in using survey research as a reporter for Knight Ridder newspapers to explore the causes of race riots in the 1960s.

Three awards are given annually — a first, second and third place — to recognize the best work using techniques that are part of precision journalism, computer-assisted reporting and social science research. The awards are: $500 for first, $300 for second, and $200 for third.

The contest also helps identify the techniques and resources used to complete each story. Entries are placed in the IRE Resource Center, allowing members to learn from each other.


Past winners












Lauren Grandestaff

Contest Coordinator

IRE Resource Center


About the 2014 contest

Please visit our contest Q&A for more information

  • The contest deadline was 11:59 pm EST on Nov. 21, 2014.
  • All work entered into the contest must have been published or aired between Oct. 1, 2013 and Sept. 30, 2014.
  • Judging will be completed by the end of December 2014.
  • Make sure to download the required contest questionnaire.


What can I enter?

For ideas on what you can enter, watch Jennifer LaFleur from the Center for Investigative Reporting, David Donald of the Investigative Reporting Workshop, and Tom Hargrove of the Scripps Howard News Service discuss best practices for great data reporting.