Software Development and Statistical Analysis

Parus Analytics, LLC is a small consulting firm specializing in software development and statistical analysis.

We host the site for the Computational Event Data Set (CEDS) project and the Worldwide Atrocities Dataset for the Political Instability Task Force.


Software Development. Natural Language Processing. Statistical Analysis
Parus Analytics is a small independent consulting firm specializing in the development of software for the analysis of political events. We have done work on contracts for the U.S. National Science Foundation, the Defense Advanced Research Projects Agency, the U.S. multi-agency Political Instability Task Force (PITF) and the IARPA-sponsored Good Judgment Project.

Event Data

In early work at the University of Kansas and Pennsylvania State University, the research team at Parus pioneered the development of fully automated methods for the coding of political event data. These efforts included KEDS, the first successful automated coder, the CAMEO event and actor coding ontology, and TABARI, the coding program used in the research phases of the DARPA Integrated Conflict Early Warning System (ICEWS). Our recent efforts include providing support for the real-time PHOENIX data set, and development of the new PETRARCH coder, written in Python, hosted on GitHub as an open-collaboration project, and utilizing the Stanford CoreNLP natural language processing suite. In addition to the computational event data efforts, we also produce the PITF Worldwide Atrocities Data Set using machine-assisted coding methods.
This is the successor site for the KEDS project: follow these links to access presentations, papers, software and data sets.

Political Forecasting

Political Instability Task Force. Integrated Conflict Early Warning System.
Most of our efforts over the past twenty years have focused on statistical and computational methodologies for forecasting violent political conflict. Both PITF and ICEWS have demonstrated that systematic quantitative models, can consistently forecast a variety of indicators of political instability with accuracy in excess of 80% at policy-relevant forecast windows of six to twenty-four months. This is dramatically better than human forecasters—many of whom scarcely exceed the 50% accuracy of the proverbial "dart-throwing chimp"—and can be done using open-source data and methods.

Sites We Follow

    National Science Foundation-sponsored project for the automated production of political data
  • Dart-Throwing Chimp
    Best source on technical forecasting, and regularly updated
    "predicting political events with data"
    Another source for all-things-event-data
  • A Second Mouse
    Reflections on social science, politics and education



421 Park Street
Charlottesville, VA 22901

Phone: +1-785-550-3553