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Susan B. Long

Co-founder/co-director, Transactional Records Access Clearinghouse

  • Transactional Records Access Clearinghouse

Contact Information

Office Location

360 Newhouse 2


  • Ph.D. University of Washington


  • Big Data
  • Federal Program Evaluation
  • FOIA
  • Investigative Reporting
  • Statistics and Data Mining

Susan B. Long is the co-founder and co-director of the Transactional Records Access Clearinghouse (TRAC), a joint research data center sponsored by the Newhouse School and the Whitman School of Management based at Newhouse. 

TRAC specializes in using the Freedom of Information Act (FOIA) to obtain federal government administrative records. It performs sophisticated statistical analyses on the records it collects to make sense of and verify these complex relational files with millions of individual, case-by-case records. TRAC then builds data mining tools that enable it—along with journalists, policy makers, citizens and other researchers—to analyze and assess federal policies and practices. TRAC's information is utterly unique in the marketplace of ideas, and its findings are frequently cited in major news reports and research journals.

During the ’80s, Long served as the director of the Center for Tax Studies at Syracuse University. In 1989, with David Burnham, she founded TRAC. She also has been a Visiting Fellow at the National Institute of Justice, Department of Justice and a Visiting Scholar at the Center for Engineering Information, City University of London. Over the years she has been frequently asked to testify before Congress and related commissions on her research findings concerning various government programs, including the National Commission on Restructuring the Internal Revenue Service.

In 2006, Long was inducted into the National Freedom of Information Act Hall of Fame. She was also the recipient in 2012 of the Kharas Award for Distinguished Service in Civil Liberties, and is the 2012 Robert Vaughn FOIA Legend Award recipient.

Her current research focuses on reliability and validity issues in database systems, measurement, organization evaluation methods, and the design of data mining and analysis tools for non-statisticians.

Long is also an associate professor of managerial statistics at the Whitman School of Management at Syracuse University.