2026 AI-Enabled Network Analysis Training - Summer Institute

Overview

The 2026 AI-Enabled Network Analysis Training – Summer Institute is a five‑day in‑person workshop hosted by the CASOS Center and the IDeaS Center at Carnegie Mellon University. Running Monday to Friday, August 10–14, the program introduces participants to network science and the integration of artificial intelligence to enhance network analysis. Attendees will explore identifying key actors and groups, stance detection, network comparison, and network dynamics. The curriculum emphasizes the synergy between social network methods and AI, showing how AI can address gaps in network data and how network insights can improve AI systems. The instruction is hands‑on, with data sets and analytical tools provided for scenario‑based exercises aimed at producing practical insights.

Agenda and Format

The Summer Institute spans five days of instruction from 8:30 a.m. to 5:30 p.m. Eastern Time. The agenda includes a mix of lectures, hands‑on lab sessions, and group activities. A final presentation is developed by small groups of two to three in an in‑person setting, culminating in a deliverable such as PowerPoint slides. The curriculum builds on social network analysis and computational techniques to study social, organizational, and policy questions. A final agenda is distributed to registered participants before the start of the event.

Tracks, Sessions, and Tools

Participants can expect an emphasis on practical tools and trial software provided for the duration of the training and during a post‑event trial period. The program covers topics such as AI‑enabled network data generation, labeling groups, identifying missing links, and comparing network structures. There is a certificate of completion for attendees who participate in at least 80% of sessions, engage in hands‑on activities, and deliver a final presentation.

Format and Accessibility

In‑person attendance is strongly preferred; a limited hybrid option is available for remote participants. Trial licenses for required tools are included, and participants will work in small groups to develop a final presentation. The hands‑on format emphasizes practical application, data handling, and interpretation of AI‑assisted network analyses. The instruction is designed to accommodate graduate students, postdocs, faculty, and professionals from industry, education, and government, with registration available to a broad audience.

Faculty and Speakers

The program features faculty from the CASOS and IDeaS Centers, including Kathleen M. Carley, PhD, Director of CASOS and IDeaS Centers, who leads the curriculum and sessions. The roster highlights the collaboration between CMU researchers and practitioners to bridge network science and AI methodologies.

Venue and Logistics

The event takes place at Carnegie Mellon University, Gates/Hillman Center, 4902 Forbes Ave., Pittsburgh, PA 15213, on the fourth floor in Room 4405. The venue provides on‑site facilities for hands‑on work, networking opportunities, and access to software and computer setups. Registration details note in‑person attendees will receive hands‑on software installation support and opportunities to network with faculty, staff, students, and fellow attendees. For those attending virtually, live talks are accessible via Zoom. Breakfast, lunch, coffee, and snacks are provided on instructional days as part of the registration package.

Who Should Attend

The Summer Institute welcomes graduate students, postdocs, faculty, and professionals from industry, education, and government who are interested in AI‑assisted network analysis and its applications to social and organizational systems. This program is designed for individuals seeking hands‑on experience with AI‑enabled network methods and practical insights to apply in real‑world contexts.

FAQs

Participants should bring their own laptops (Windows 10 or 11 recommended; Mac users may require emulation). Details regarding hotel options, parking, and campus logistics are available through CMU visitor information resources. A registration page and payment options are provided through Regpack for in‑person and virtual attendance.