Funded by NSF, NIJ, and CIA over the past seven years, the COPLINK project has been focusing on law enforcement and intelligence data sharing and analysis research. Through its partnerships with local law enforcement agencies and intelligence community, the project has made significant progress in law enforcement data warehousing and interoperability, detective relationship analysis, temporal-spatial crime visualization, agent-based collaboration and alerting, identify deception detection, computer-based authorship analysis, and criminal social network analysis and visualization. The COPLINK system, which had been deployed in many local and state law enforcement agencies including Arizona, California, Texas, Massachusetts, Michigan, etc., had been featured in NYT, Newsweek, Washington Post, Boston Globe, among others.

In this talk, I will present the COPLINK crime data mining and visualization framework for intelligence and security informatics. I will review past and ongoing COPLINK research and highlight recent developments in three areas: (1) deception detection: a taxonomy built on criminal identifity deception; an automated technique to detect deception based on string matching and soundex; and a validation experiment; (2) authorship identification: email/newsgroup feature selection; machine learning for authorship classification; and a multilingual cybercrime email experiment; (3) criminal network analysis: organized crimes (gang/narcotic); social network analysis metrics for member role, subgroup identification, and network typology; criminal network visualization. Selected demos will be presented.

Dr. Hsinchun Chen is McClelland Professor of MIS at The University of Arizona and Andersen Consulting Professor of the Year (1999). He received the Ph.D. degree in Information Systems from New York University in 1989. He is author of four books and more than 150 articles covering digital library, intelligence analysis, medical informatics, semantic retrieval, search algorithms, knowledge management, and Web computing. He serves on the editorial board of Journal of the American Society for Information Science and Technology, ACM Transactions on Information Systems, and Decision Support Systems. Dr Chen is founding director of Artificial Intelligence Lab and Hoffman E-Commerce Lab. The UA Artificial Intelligence Lab, which houses 40+ researchers, has received more than $12M in research funding from NSF, NIH, NLM, NIJ, CIA, and other agencies over the past 10 years. The Hoffman E-Commerce Lab, which has been funded mostly by major IT industry partners, features state-of-the-art e-commerce hardware and software in a cutting-edge research and education environment. Dr. Chen is conference co-chair of ACM/IEEE Joint Conference on Digital Libraries (JCDL) 2004 and has served as the conference general chair or international program committee chair for the past six International Conferences of Asian Digital Libraries (ICADL) 1998-2003. Dr. Chen is also conference co-chair of the NSF/NIJ Symposium on Intelligence and Security Informatics (ISI) 2003. His COPLINK system has been widely adopted in the law enforcement community and had been featured in NYT, Newsweek, LA Times, Washington Post, and Boston Globe. He has received numerous industry awards in education and research including: AT&T Foundation Award, SAP Award, and the Andersen Consulting Professor of the Year Award. Dr. Chen is a Scientific Counselor of National Library of Medicine (NLM) and has served as an advisor for major NSF, NIJ, NLM, and other international research programs in digital library, digital government, medical informatics, and intelligence analysis.