Reading Group and Lunch Seminar Series:
The Reading Group and Lunch Seminar Series provides an informal and discussion-oriented setting for exploring current and emerging topics in network research. Meetings may feature presentations of papers, introductions to new research directions, open problems, or conversations about work in progress. Participants from all backgrounds are welcome, and students and postdoctoral researchers are especially encouraged to attend and lead discussions.
Tuesdays from 12-1:30 p.m. in 330 Gross Hall, with lunch provided.
9/1: Jiaming Xu, Introduction to Learning In Networks Pop-up Institute
Working Groups
The working groups provide dedicated time for collaborative research and informal interaction among institute participants. Activities may include focused discussions of open problems, collaborative projects, board talks, grant or proposal development, and conversations about ongoing research. Participants are welcome to propose new groups or join existing ones throughout the semester.
Tuesdays, 1:30-3pm in 330 Gross Hall, with Tea provided at 3pm
Tutorial Lecture Series:
The Tutorial Lecture Series offers accessible introductions to important ideas and methods in learning, inference, and decision-making on networks. Led by Duke faculty and visiting researchers from across disciplines, each 75-minute tutorial will provide background, key concepts, and connections to current research. The series is designed for participants from a wide range of fields, and students and postdoctoral researchers are especially encouraged to attend.
Tuesdays, 3:30-4:45 pm in 318 Gross Hall, with Tea provided at 3pm in the 3rd floor atrium.
Tutorial Schedule:
9/8: Galen Reeves, Duke ECE and Statistical Science, AMP and the Replica Method
9/15: Fan Wei, Duke Mathematics, Graph Limits and Property Testing
9/22: Jiaming Xu, Duke Fuqua, Low-Degree Polynomial Methods in Network Analysis
9/29: Jason Gaitonde, Duke Fuqua, Learning Dynamics on Networks I
10/6: Jason Gaitonde, Duke Fuqua, Learning Dynamics on Networks II
10/13: No tutorial, Fall Break
10/20: Visitor tutorial related to Workshop 1
10/23-24: Workshop 1, Statistical Inference and Learning in Networks
10/27: Post-Workshop 1 visitor or synthesis tutorial
11/3: Alex Belloni, Duke Fuqua and Statistical Science, Causal Inference in Networks
11/10: Yehua Wei, Duke Fuqua, Network-Based Market Design and Resource Allocation
11/13-14: Workshop 2, Networks in Economics, Operations, and Social Sciences, and WORDS 2026
11/17: Davide Viviano, Harvard Economics, visitor tutorial; topic to be determined
11/24: No tutorial, Thanksgiving week
12/1: Ali Makhdoumi, Duke Fuqua, Network Economics, if confirmed; otherwise a visitor/tutorial slot
12/8: Open visitor/tutorial slot
