Kathleen Carley is a professor in the Engineering and Public Policy Department, Computer Science Department, and Social and Decision Sciences Department at Carnegie Mellon University. She is the director of the Center for Computational Analysis of Social and Organizational Systems (CASOS), a university wide interdisciplinary center that brings together network analysis, computer science and organization science, and has an associated NSF-funded training program for Ph.D. students. Carley’s research combines cognitive science, social networks, and computer science to address complex social and organizational problems. Her specific research areas are dynamic network analysis, computational social and organization theory, adaptation and evolution, text mining, the impact of telecommunication technologies and policy on communication, information diffusion, and disease contagion and response within and among groups particularly in disaster or crisis situations.
Carley and her lab have developed infrastructure tools for analyzing large-scale dynamic networks and various multi-agent simulation systems. The infrastructure tools include ORA, a statistical toolkit for analyzing and visualizing multi-dimensional networks. ORA results are organized into reports that meet various needs such as the management report, the mental model report, and the intelligence report. Another tool is AutoMap, a text-mining system for extracting semantic networks from texts and then cross-classifying them using an organizational ontology into the underlying social, knowledge, resource, and task networks. Her simulation models meld multi-agent technology with network dynamics and empirical data. Three of the large-scale multi-agent network models she and the CASOS group have developed in the counter-terrorism area are: BioWar a city-scale dynamic-network agent-based model for understanding the spread of disease and illness due to natural epidemics, chemical spills, and weaponized biological attacks; DyNet a model of the change in covert networks, naturally and in response to attacks, under varying levels of information uncertainty; and RTE, a model for examining state failure and the escalation of conflict at the city, state, nation, and international as changes occur within and among red, blue, and green forces.
Carley is the director of the center for Computational Analysis of Social and Organizational Systems (CASOS), which has more than 25 members, both students and research staff. She is the founding co-editor with Al Wallace of the journal Computational Organization Theory and has co-edited several books in the computational organizations and dynamic network area.
Bots, trolls, and how to safely navigate social media in 2020
1984 Ph.D., Sociology, Harvard University
1979 BS, Political Science, Massachusetts Institute of Technology
- agent-based modeling
- AI and ML for security
- Applications of security and privacy
- big data
- computational sociology
- crisis response and disaster relief
- cybersecurity + privacy
- dynamic network analysis
- Formal methods
- information diffusion
- insider threat
- Internet of Things (IoT)
- malware analysis and detection
- measurements of fraud, malware, spam
- network science
- network security
- nuclear security
- organization theory
- security of AI and ML
- social and organizational science
- social networks security and privacy
- threat analysis and modeling
- threat intelligence
- Usability and human behavior
Carley quoted on large language models
Quanta Magazine quoted software and Societal Systems department Professor Kathleen Carley on how chatbot language models have evolved.
Carley quoted on bias in AI training
CyLab’s Kathleen Carley was quoted in ABC News on bias in AI training amid conversations about how chatbots, like ChatGPT, are programmed to generate responses, and the possibility of political biases. “There’s this view that the majority of information that it was trained on is more left-leaning and has certain political biases and certain political agendas built into it,” Carley said. “That’s where that argument is coming from.”
Carley’s work on bot detection featured in WIRED
Kathleen Carley, professor in CMU’s Software and Societal Systems Department, spoke to WIRED about her research, which has led to several bot detection tools, including BotHunter and BotBuster.
Carley interviewed on CNN on bots on social media
CyLab/EPP’s Kathleen Carley was interviewed on CNN’s Early Start program for her expertise on social media bots and their impact on information circulation.
Carley quoted on “bot holiday”
CyLab/EPP’s Kathleen Carley was quoted in The Guardian on the lack of bot activity in spreading COVID-19 misinformation.
Carley research on fake social media accounts featured
CyLab’s Kathleen Carley research on fake social media accounts, bots, and trolls was featured in DW.
Carley quoted on online radicalization
CyLab’s Kathleen Carley was quoted on Public Source about online radicalization.
Carley quoted on disinformation
CyLab’s Kathleen Carley was quoted on Yahoo about online disinformation and misinformation.
Carley quoted about Parler social media
CyLab’s Kathleen Carley was quoted on Yahoo about the social media platform Parler that has faced backlash after it was tied to the insurrection at the US Capitol.
Carley cited on social media bots
CyLab’s Kathleen Carley’s research on social media bots was mentioned in Forbes.
The Christian Science Monitor
Carley quoted on correcting misinformation
CyLab’s Kathleen Carley was quoted in The Christian Science Monitor on how to debunk misinformation online.
Tweet misinformation study cited in op-ed
A recent study about misinformation on Twitter discussing COVID-19, co-authored by CyLab’s Kathleen Carley, was cited in an opinion article in The Hill.