Philip Schrodt Explained

Philip Andrew "Phil" Schrodt (born July 24, 1951) is a political scientist known for his work in automated data and event coding for political news. On August 1, 2013, he announced that he was leaving his job as professor at Pennsylvania State University[1] to become a full-time consultant.[2] [3] Schrodt is currently a senior research scientist at the statistical consulting firm Parus Analytical Systems.[4]

Biography

Schrodt received an M.A. in mathematics and a Ph.D. in political science from Indiana University in 1976. He worked at Northwestern University for 12 years, then at the University of Kansas for 21 years, and at Pennsylvania State University for 4 years, before leaving academia for a private sector job with Parus Analytical Systems.[2] [4]

Academic work

Schrodt's work has largely been focused on automated coding of event data for political news. In 1994, he created the Kansas Event Data System (KEDS) that won the “Outstanding Computer Software Award” from the American Political Science Association in 1995.[4] [5] In 2000, he created the Textual Analysis by Augmented Replacement Instructions (TABARI) software in 2000 that improved on the KEDS.[6] He developed the Conflict and Mediation Event Observations (CAMEO) data coding framework along with Deborah J. Gerner and others. The TABARI software could automatically code event data according to the CAMEO framework.

A modification of TABARI, called JABARI-NLP, was used for the Integrated Conflict Early Warning System (ICEWS) database by Lockheed Martin Advanced Technology Laboratories.[7] TABARI and CAMEO are also used for event coding for the Global Database of Events, Language, and Tone (GDELT Project), that Schrodt co-created with Kalev Leetaru and others.[8]

Logistic regression models created by Schrodt were also successfully incorporated into the predictive algorithms used by Lockheed Martin for ICEWS.[9] [10]

Reception

Schrodt's academic work as well as his views (including those expressed in his academic work and in his blog posts) are frequently referenced by other blogs about data science and predictive analytics in political science, such as Jay Ulfelder's blog,[11] the Predictive Heuristics blog,[12] and Bad Hessian.[13] He has also been referenced in Foreign Policy articles.[14] [15]

External links

Notes and References

  1. Web site: Philip Schrodt. Department of Political Science, Pennsylvania State University. 2014-06-24. https://web.archive.org/web/20140331090748/http://polisci.la.psu.edu/people/pas52. 2014-03-31. dead.
  2. Web site: Going Feral! Or "So long, and thanks for all the fish…". Schrodt. Philip A.. August 1, 2013. June 24, 2014.
  3. Web site: Philip Schrodt "Goes Feral". Voeten. Erik. August 1, 2013. Erik Voeten. June 24, 2014.
  4. Web site: About. A Second Mouse. June 24, 2014.
  5. Web site: Information Technology and Politics Section Award Recipients. American Political Science Association. June 24, 2014.
  6. Web site: Conflict and Mediation Event Observations (CAMEO): A New Event Data Framework for the Analysis of Foreign Policy Interactions. Gerner. Deborah J.. Schrodt. Philip A.. Abu-Jabr. Rajaa. Yilmaz. Omur.
  7. Web site: Automated Production of High-Volume, Near-Real-Time Political Event Data. Schrodt. Philip. January 20, 2011. June 12, 2014.
  8. Web site: About (Creation). Global Database of Events, Language, and Tone. June 24, 2014.
  9. Crisis Early Warning and Decision Support: Contemporary Approaches and Thoughts on Future Research. O'Brien. Sean P.. March 9, 2010.
  10. Web site: DARPA's Crisis Early Warning and Decision Support System. March 20, 2010. June 21, 2014. Meier. Patrick. Conflict Early Warning and Early Response.
  11. Web site: Phil Schrodt (tag). Ulfelder. Jay. June 24, 2014.
  12. Web site: Phil Schrodt (Tag). Predictive Heuristics. June 24, 2014.
  13. Web site: Google Search for Schrodt on badhessian.org. June 24, 2014.
  14. Web site: Why the World Can't Have a Nate Silver. The quants are riding high after Team Data crushed Team Gut in the U.S. election forecasts. But predicting the Electoral College vote is child's play next to some of these hard targets.. Ulfelder. Jay. November 8, 2012. June 3, 2014.
  15. What can we learn from the last 200 million things that happened in the world?. Keating. Joshua. Joshua Keating. April 10, 2013. June 24, 2014. Foreign Policy. dead. https://web.archive.org/web/20140606210801/http://ideas.foreignpolicy.com/posts/2013/04/10/what_can_we_learn_from_the_last_200_million_things_that_happened_in_the_world. June 6, 2014.