Events
Past Event
WED@NICO WEBINAR: Tina Eliassi-Rad, Northeastern University
Northwestern Institute on Complex Systems (NICO)
12:00 PM
Details
Speaker:
Tina Eliassi-Rad, Professor, Khoury College of Computer Sciences, Northeastern University
Title:
Geometric and Topological Graph Analysis for Machine Learning
Abstract:
This talk has two parts: (1) geometric analysis for graph embedding and (2) topological analysis for graph distances. First, graph embedding seeks to build an accurate low-dimensional representation of a graph. This low-dimensional representation is then used for various downstream tasks such as link prediction. One popular approach is Laplacian Eigenmaps, which constructs a graph embedding based on the spectral properties of the Laplacian matrix of a graph. The intuition behind it, and many other embedding techniques, is that the embedding of a graph must respect node similarity: similar nodes must have embeddings that are close to one another. We dispose of this distance-minimization assumption. In its place, we use the Laplacian matrix to find an embedding with geometric properties (instead of spectral ones) by leveraging the simplex geometry of the graph. We introduce Geometric Laplacian Eigenmap Embedding (or GLEE for short) and demonstrate that it outperforms various other techniques (including Laplacian Eigenmaps) in the tasks of graph reconstruction and link prediction. This work is joint with Leo Torres and Kevin Chan, and was published in the Journal of Complex Networks in March 2020. Second, measuring graph distance is a fundamental task in graph mining. For graph distance, determining the structural dissimilarity between networks is an ill-defined problem, as there is no canonical way to compare two networks. Indeed, many of the existing approaches for network comparison differ in their heuristics, efficiency, interpretability, and theoretical soundness. Thus, having a notion of distance that is built on theoretically robust first principles and that is interpretable with respect to features ubiquitous in complex networks would allow for a meaningful comparison between different networks. We rely on the theory of the length spectrum function from algebraic topology, and its relationship to the non-backtracking cycles of a graph, in order to introduce the Non-Backtracking Spectral Distance (NBD) for measuring the distance between undirected, unweighted graphs. NBD is interpretable in terms of features of complex networks such as presence of hubs and triangles. We showcase the ability of NBD to discriminate between networks in both real and synthetic data sets. This work is joint with Leo Torres and Pablo Suarez-Serrato, and was published in the Journal of Applied Network Science in June 2019.
Speaker Bio:
Tina Eliassi-Rad is a Professor of Computer Science at Northeastern University in Boston, MA. She is also a core faculty member at Northeastern's Network Science Institute. Prior to joining Northeastern, Tina was an Associate Professor of Computer Science at Rutgers University; and before that she was a Member of Technical Staff and Principal Investigator at Lawrence Livermore National Laboratory. Tina earned her Ph.D. in Computer Sciences (with a minor in Mathematical Statistics) at the University of Wisconsin-Madison. Her research is at the intersection data mining, machine learning, and network science. She has over 100 peer-reviewed publications (including a few best paper and best paper runner-up awardees); and has given over 200 invited talks and 14 tutorials. Tina's work has been applied to personalized search on the World-Wide Web, statistical indices of large-scale scientific simulation data, fraud detection, mobile ad targeting, cyber situational awareness, and ethics in machine learning. Her algorithms have been incorporated into systems used by the government and industry (e.g., IBM System G Graph Analytics) as well as open-source software (e.g., Stanford Network Analysis Project). In 2017, Tina served as the program co-chair for the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (a.k.a. KDD, which is the premier conference on data mining) and as the program co-chair for the International Conference on Network Science (a.k.a. NetSci, which is the premier conference on network science). In 2020, she served as the program co-chair for the International Conference on Computational Social Science (a.k.a. IC2S2, which is the premier conference on computational social science). Tina received an Outstanding Mentor Award from the Office of Science at the US Department of Energy in 2010; became a Fellow of the ISI Foundation in Turin Italy in 2019; and was named one of the 100 Brilliant Women in AI Ethics for 2021.
Webinar:
Webinar link: https://northwestern.zoom.us/j/95878198317
Passcode: nico
ID: 958 7819 8317
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems and data science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, February 3, 2021 at 12:00 PM - 1:00 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Max Kreminski, Midjourney "Tracing and Shaping Paths in Design Space"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Max Kreminski, Research Scientist, Midjourney
Title:
Tracing and Shaping Paths in Design Space
Abstract:
It’s notoriously difficulty to evaluate interfaces intended to support creative work – but as software creative tools proliferate, the importance of understanding whether and how these tools support user creativity continues to grow. In this talk, I discuss several related approaches to making sense of user interactions with creativity support tools. I focus in particular on how AI-supported evaluation methods can help us illuminate a design tool’s expressive range; trace user trajectories through design space; and potentially even intervene to shape these trajectories while the interaction is still unfolding.
Speaker Bio:
Max Kreminski is a human-computer interaction researcher focused on designing expressive and approachable computational systems to support creative work and play. Their research has been featured in outlets such as The New Yorker, New Scientist, and The Verge; published and exhibited at top HCI and AI conferences, including CHI, UIST, and NeurIPS; and honored with a variety of awards, including the Best Paper award at the ACM Conference on Creativity & Cognition. Max currently directs the Storytelling Lab at Midjourney and previously served as an assistant professor at Santa Clara University.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/99929737866
Passcode: NICO25
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, October 22, 2025 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Elizabeth Gerber, Northwestern University "Human–AI Systems That Amplify Human Connection at Work"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
//
Lower Level, Chambers Hall
Details
Speaker:
Elizabeth Gerber, Professor of Mechanical Engineering and Communication Studies, Northwestern University
Title:
Richer Together: Human–AI Systems That Amplify Human Connection at Work
Abstract:
AI in the workplace is often framed as a story of replacement. This talk flips that narrative. Drawing on research-informed, human-centered design, I present hybrid human–AI systems that scaffold—not supplant—our most distinctively human capacities: connection, reflection, and meaning-making. These systems are built on empirical insights into how people collaborate and learn, and it demonstrate how AI can be designed to increase metacognition and better prepare for more intentional, higher-quality human interactions. Rather than stripping work of its human core, AI—when designed in context and with care —can help make our work more relational, more effective, and more deeply human.
Speaker Bio:
Liz Gerber is a Professor in the Department of Mechanical Engineering and Communication at Northwestern University and creates sociotechnical platforms that make innovation accessible to everyone. Her research explores how new technologies can support the innovation process, particularly “collective innovation,” which taps into often unused human, social, and economic resources to discover, assess, and implement ideas. Through the Center for Human-Computer Interaction + Design, Delta Lab, and Design for America, her team develops collaborative networks that address complex issues—from healthcare access to climate resilience—promoting entrepreneurship and strengthening the link between engineering and society. She earned her PhD in Management Science & Engineering at Stanford.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/94056849008
Passcode: NICO25
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, October 29, 2025 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Data Science Nights - October 2025 - Speaker: Buduka Ogonor, Physics and Astronomy
Northwestern Institute on Complex Systems (NICO)
5:30 PM
//
Lower Level, Chambers Hall
Details
OCTOBER MEETING: Thursday, October 30, 2025 at 5:30pm (US Central)
LOCATION:
In person: Chambers Hall, Lower Level
600 Foster Steet, Evanston Campus
AGENDA:
5:30pm - Meet and greet with refreshments
6:00pm - Talk with Buduka Ogonor, Motter Lab, Physics and Astronomy
Talk title and abstract TBA.
DATA SCIENCE NIGHTS are monthly meetings featuring presentations and discussions about data-driven science and complex systems, organized by Northwestern University graduate students and scholars. Students and researchers of all levels are welcome! For more information: http://bit.ly/nico-dsn
Time
Thursday, October 30, 2025 at 5:30 PM - 7:30 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Julio M. Ottino, Northwestern University "From Clocks to Clouds: The Complexity Revolution"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
//
Lower Level, Chambers Hall
Details
Speaker:
Julio M. Ottino, Walter P. Murphy Professor of Chemical and Biological Engineering, McCormick School of Engineering, Northwestern University
Title:
From Clocks to Clouds: The Complexity Revolution: How Scientific Breakthroughs Reshaped Reality and Our Place Within It
Abstract:
For three centuries, Western thought was guided by a Newtonian worldview: the universe as a vast clock, predictable and controllable. That vision has unraveled. Scientific revolutions—from relativity and quantum mechanics to evolution, game theory, and complexity science—have revealed a world of uncertainty, emergence, and creative interconnection. We now inhabit a “cloud world,” where relationships matter more than parts, and uncertainty is not ignorance but potential. This talk traces the transformation from clocks to complexity, showing how these revolutions reshape our understanding of reality and what it means to navigate knowledge, organizations, and society in turbulent times.
Speaker Bio:
Julio M. Ottino is an engineering scientist recognized for his work in fluid dynamics, chaos and nonlinear dynamics, complex systems, and especially mixing. He was born in La Plata, Argentina and grew up with twin interests in the physical sciences and visual arts. He obtained his first degree at the University of La Plata, in Argentina, before receiving a PhD in chemical engineering from the University of Minnesota. He is currently at the McCormick School of Engineering and Applied Science in Northwestern University where he holds the titles of Robert R. McCormick Institute Professor and Walter P. Murphy Professor of Chemical and Biological Engineering. He is also a professor of Management and Organizations at Kellogg School of Management. He was the co-founder and director of the Northwestern Institute on Complex Systems (NICO) and the author of the Kinematics of Mixing: Stretching, Chaos, and Transport (Cambridge University Press 1989) and The Nexus, Augmented Thinking for a Complex World, with Bruce Mau (MIT Press, 2022).
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/99053647199
Passcode: NICO25
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, November 5, 2025 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Blaise Aguera y Arcas, Google "Symbiogenesis, Computational Parallelism, and Complexity in Evolution"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
//
Lower Level, Chambers Hall
Details
Speaker:
Blaise Agüera y Arcas, VP/Fellow, CTO of Technology & Society, Google
Title:
Symbiogenesis, Computational Parallelism, and Complexity in Evolution
Abstract:
Symbiogenesis-- the fusion of formerly independent self-replicating entities into a larger self-replicating entity-- is proposed as the driving force behind evolution's "arrow of time" toward ever-increasing complexity. We'll explore an Artificial Life system as a minimal motivating example, then discuss the implications for biological evolution beyond the "standard" accounts of Major Evolutionary Transitions and "intelligence explosions" in brainy species. Energetic and computational implications will also be addressed.
Speaker Bio:
Blaise Agüera y Arcas is a VP and Fellow at Google, where he is the CTO of Technology & Society and founder of Paradigms of Intelligence (Pi). Pi is an organization working on fundamental research in AI and related fields, especially the foundations of neural computing, active inference, sociality, evolution, and Artificial Life.
In 2008, Blaise was awarded MIT’s TR35 prize. During his tenure at Google, Blaise has innovated on-device machine learning for Android and Pixel; invented Federated Learning, an approach to decentralized model training that avoids sharing private data; and founded the Artists + Machine Intelligence program.
An External Professor at Santa Fe Institute and a frequent public speaker, Blaise has given multiple TED talks and keynoted NeurIPS. He has also authored numerous papers, essays, op-eds, and chapters, as well as two previous books, Who Are We Now? and Ubi Sunt. His most recent book, What Is Life?, is part 1 of the larger book What Is Intelligence?, forthcoming from Antikythera and MIT Press in September 2025.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/98741396308
Passcode: NICO25
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, data science and network science. It brings together attendees ranging from graduate students to senior faculty who span all of the schools across Northwestern, from applied math to sociology to biology and every discipline in-between. Please visit: https://bit.ly/WedatNICO for information on future speakers.
Time
Wednesday, November 12, 2025 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Data Science Nights - November 2025 - Speaker: Feihong Xu, ESAM
Northwestern Institute on Complex Systems (NICO)
5:30 PM
//
Lower Level, Chambers Hall
Details
NOVEMBER MEETING: Thursday, November 20, 2025 at 5:30pm (US Central)
LOCATION:
In person: Chambers Hall, Lower Level
600 Foster Steet, Evanston Campus
AGENDA:
5:30pm - Meet and greet with refreshments
6:00pm - Talk with Feihong Xu, Amaral Lab, ESAM
Talk title and abstract TBA.
DATA SCIENCE NIGHTS are monthly meetings featuring presentations and discussions about data-driven science and complex systems, organized by Northwestern University graduate students and scholars. Students and researchers of all levels are welcome! For more information: http://bit.ly/nico-dsn
Time
Thursday, November 20, 2025 at 5:30 PM - 7:30 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Data Science Nights - December 2025 - Speaker: Yash Chainani, Chemical Engineering
Northwestern Institute on Complex Systems (NICO)
5:30 PM
//
Lower Level, Chambers Hall
Details
DECEMBER MEETING: Thursday, December 18, 2025 at 5:30pm (US Central)
LOCATION:
In person: Chambers Hall, Lower Level
600 Foster Steet, Evanston Campus
AGENDA:
5:30pm - Meet and greet with refreshments
6:00pm - Talk with Yash Chainani, Broadbelt & Tyo Labs, Chemical Engineering
Talk title and abstract TBA.
DATA SCIENCE NIGHTS are monthly meetings featuring presentations and discussions about data-driven science and complex systems, organized by Northwestern University graduate students and scholars. Students and researchers of all levels are welcome! For more information: http://bit.ly/nico-dsn
Time
Thursday, December 18, 2025 at 5:30 PM - 7:30 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)