Complexity & Society Lab

Welcome to the Complexity & Society Lab (the “And Lab”), a research group at the Network Science Institute at Northeastern University.

Our work is centered around theoretical and methodological advances in Complex Systems science, with focus areas in network dynamics, learning and inference, network generative models of AI architectures, and graph comparison.


Lab Members

Brennan Klein, Director

Brennan Klein is an associate research scientist at the Network Science Institute at Northeastern University, where he studies complex systems across nature and society using tools from network science and statistics. His research sits in two broad areas: First, he develops methods and theory for constructing, reconstructing, and comparing complex networks based on concepts from information theory and random graphs. Second, he uses an array of interdisciplinary approaches to document—and combat—emergent or systemic disparities across society, especially as they relate to public health and public safety. In addition to his role at Northeastern University, Brennan is a senior research scientist at Verses AI—a startup specializing in networks and artificial intelligence. He is also the Data for Justice Fellow at the Institute on Policing, Incarceration, and Public Safety in the Hutchins Center for African and African American Studies at Harvard University. Brennan received a PhD in Network Science from Northeastern University in 2020 and a B.A. in Cognitive Science from Swarthmore College in 2014.

Moritz Laber, PhD Student (Network Science)

Moritz Laber is a 2nd year PhD student in Network Science at Northeastern University. He is broadly interested in the mutual influence of network structure and dynamics. Currently, he is using methods from information theory to identify structure at different scales in complex systems. Before joining NetSI, Moritz studied how supply shocks propagate on the global food production network. He received a BS and MS in Physics from Karlsruhe Institute of Technology and a MS in Computational Science from University of Vienna.

Erik Weis, PhD Student (Network Science)

Erik Weis is a research assistant working with in the Complexity & Society Lab at Northeastern University. His interests involve using complex systems modeling to improve the design of policy interventions. His past research has explored the impact of uncertainty on the design of optimal network interventions. Before joining NetSI, Erik received a MS in Complex Systems and Data Science from the University of Vermont and a BA in Physics from Dartmouth College. In September 2024, he will start his PhD in Network Science at Northeastern.

Eline Bouwmeesters, Visiting MS Student

Eline Bouwmeesters is a visiting MS student in Industrial and Applied Mathematics at Eindhoven University of Technology. Eline previously did an internship at the Network Science Institute where she investigated the performance of different network reconstruction methods. Now, she is an AccelNet-MultiNet Fellow in the And Lab, studying generative models of networks with arbitrary motif-degree structures.

Janne de Rooij, Visiting MS Student

Janne de Rooij is a visiting MS student in Industrial and Applied Mathematics at Eindhoven University of Technology. She is an AccelNet-MultiNet Fellow in the Complexity & Society Lab, focused on characterizing the mathematics behind network mergers, the process whereby two previously disconnected graphs become connected via new/rewired links—from eukaryogenesis to mergers and acquisitions of companies.

Lena Mangold, Visiting PhD Student

Lena Mangold is a PhD student in the Computational Social Science team at Centre Marc Bloch (Berlin), and at the Center of Analysis and Social Mathematics at EHESS/CNRS (Paris). She is interested in the theory around mesoscale structures in networks and in applications to understand emergent dynamics of complex networks in the political and social sphere. In her recent work as part of the socsemics project, she investigated the diversity of the partition landscapes of networks and explored the relationship between metadata and network block structure. Prior to starting her PhD, Lena worked as a data scientist in the political party context after receiving an MSc in Mathematical Modelling and Scientific Computing from the University of Oxford and a BSc in Mathematics from the University of Sussex.


Lab Alumni

Harrison Hartle, PhD Student (‘23)

Conor Heins, Research Assistant

Daphne Demekas, Research Assistant


Research Projects

Website in progress.


News & Lab Updates

Website in progress.


Lab Culture & Scientific Philosophy

Website in progress.