Welcome to Center for Computational Analysis of Social and Organizational Systems (CASOS)!


Addressing complex real world issues through a combined social-science & computer-science approach, using advanced techniques from network science, text-mining, and agent-based modeling.

  • Leader in network science, network analysis and network visualization.
  • Leader in network dynamics and linking social networks to other data - geo-spatial, knowledge, tasks etc.
  • Leading analytic tools for network analysis - ORA-LITE, AutoMap, Construct
  • University wide center with faculty and students in multiple departments
  • Multi-disciplinary research - working with Academia, Industry, Government
  • Applications related to Law Enforcement, Counter-terrorism, Health, Nuclear Deterrence, Cyber-Security, Social Change, Organizational Design, Insider Threat, Population Dynamics, Social Media.

Director: Prof. Kathleen M. Carley
kathleen.carley@cs.cmu.edu :: homepage


CASOS used network science tools such as ORA, Automap, and Construct. These tools are used for network science and visualization

Recent News

  • December 2019 - Newly released book, "Organizational Network Analysis" by author Anna Ujwary-Gil, is based on ORA software and uses the meta-network approach to organizational management, find the book here.
  • December 2019 - Director Kathleen M. Carley gives Keynote at the TextXD (Text Analysis Across Domains) Conference held at University of California, Berkeley entitled "CUES - Understanding information maneuvers in social media using implicit information".
  • November 2019 - Director Kathleen M. Carley gives Keynote at the AAAI Symposium on AI in Government and Private Sector in Arlington, VA.
  • October 2019 - Our Director, Kathleen M. Carley made SAGE's list of "39 women doing amazing research in computational social science". Read more here.
  • October 2019 - CASOS Center research is highlighted in the Post Gazette article "Can technology turn down the volume of online hate? Researchers at CMU are working to find an answer," published October 21st. Read the full article here
  • Read More...