Events
Past Event
WED@NICO SEMINAR: Lightning Talks with Northwestern Fellows and Scholars!
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
NICO is hosting a lightning talk seminar each term as a part of our Wednesdays@NICO seminar series. Northwestern graduate students and postdoctoral fellows are invited to participate. To sign up for future lightning talks, please visit: https://bit.ly/2lRqSXK
Lightning Talk Speakers:
○ Sugat Dabholkar - PhD Candidate in the Learning Sciences program at the School of Education and Social Policy, Northwestern University.
Title: Emergent Systems Microworlds to teach and learn about complex emergent phenomena
Abstract: Learning and reasoning about complex systems is not simple. Both novices and experts often fall into the trap of level-slippage while reasoning about complex natural phenomena. Level-slippage is the confusion that arises when one expects emergent macro-level patterns to be similar to local micro-level patterns. Such confusion is people’s source of a deep misunderstanding of several patterns and phenomena in the world.
In my work, I seek to address this issue for high school science students by combining two powerful design approaches in Learning Sciences, namely, agent-based modeling of emergent systems and constructionism. We call this design approach Emergent Systems Microworlds (ESM). This approach is based on Wilensky and Papert’s restructuration theory (2010), which argues for the importance of representational infrastructure for changing fundamental aspects of knowledge encodings in a disciplinary domain. In this talk, I will discuss how agent-based restructurations in an ESM allow learners to develop fundamentally deeper insights into complex phenomena.
In an ESM-based curriculum, students explore and learn about emergent phenomena, using agent-based computational models that are designed in NetLogo (Wilensky, 1999) in the form of a microworld. In such models, an agent is a computational object with particular properties and actions. An ‘emergent’ phenomenon is modeled in terms of agents and their interactions. Microworlds are encapsulated open-ended computational exploratory environments in which a set of concepts can be explored, through interactions that lead to knowledge construction. In this talk, I will present some examples of ESM-based curricula that I designed for high school students to learn about genetics and evolution, two fundamental ideas in biology. I will discuss how the agent-based representational architecture in the ESMs allowed the students to engage in reasoning about complex systems principles in the context of the phenomena they were studying.
Bio: Sugat Dabholkar is a doctoral candidate in the Learning Sciences program at the School of Education and Social Policy, Northwestern University. His work involves designing technology-enhanced learning environments for learning scientific thinking, computational thinking, and complex systems thinking. Over the past four years, Sugat has developed several computational agent-based models, many of which have been incorporated into curricular units for high school students. He has conducted Professional Development programs for teachers focusing on designing Computational Thinking integrated STEM curricular units. These curricular units have been used in school settings in the US as well as in India.
○ Xuan Ma - Postdoctoral Fellow at the Feinberg School of Medicine, Northwestern University
Title: Probing motor control during naturalistic movements for extending BCI use
Abstract: Most existing sensorimotor and brain computer interface (BCI) studies have investigated the mapping from motor cortex (M1) to muscles by training monkeys to perform a few instructed movements in highly restricted conditions. Motivated by the demand of extending those in-lab studies to a wider realm, we propose to explore motor control during more natural movements of unrestrained monkeys. We simultaneously recorded M1 neural activity and electromyograph (EMG) wirelessly while the monkey was in a plastic telemetry cage in which it could perform various free-form movements. We then investigated the features of these signals and the consistency of the relationship between them. In this talk, I will describe progress we have made and challenges we are facing to extend BCI use in more naturalistic contexts, and will also introduce our efforts with deep learning methods to address those challenges.
Bio: Xuan Ma is currently a postdoctoral fellow in Feinberg School of Medicine, Northwestern University. He received the Ph.D. degree in control science and engineering from Huazhong University of Science and Technology, Wuhan, China, in 2017. His research interests include cortically-controlled functional electric stimulation, neural motor control system modeling, and biomedical signal processing.
○ Suman Kalyan Maity - Postdoctoral Fellow at the Kellogg School of Management, CSSI and NICO
Title: Winners, Losers, and Future Achievement
Abstract: One of the most robust findings on human performance is that past achievement predicts future achievements. Indeed, prior achievements may reflect underlying, differentiating characteristics rendering past winners more predictably outperforming their non-winning counterparts in future competitions. Further, the Matthew effect posits that past victories bring reputation and recognition that can translate into tangible assets, which increase the chance for future victories. Hence even if the deck was not stacked against some in favor of others, positive feedback operating on arbitrary initial advantage can increasingly set apart winners from losers. These mechanisms lead to one fundamental principle with crucial implications: Between past winners and losers, it is the former that are more likely to win in the future. Indeed, partly due to the robustness of this principle, the idea of selecting on winners has become one of the most commonly used heuristics in identifying and nurturing talents across a remarkably wide range of domains. In this talk, we systematically test against the principle of selecting between winners and losers across various settings. We observe that whenever there existed a reward based milestone (being on the podium, entering the main draw of a Tennis tournament etc.), the athletes who had just missed it ended up outperforming the athletes who narrowly achieved the milestone in future endeavors.
Bio: Suman Kalyan Maity is a Postdoctoral Fellow at the Kellogg School of Management, The Center for Science of Science & Innovation (CSSI), and NICO.
○ Rebeka O. Szabo - Pre-Doctoral Fellow at the Kellogg School of Management, Northwestern University
Title: The Micro-Dynamic Nature of Team Interaction
Abstract: Teams have become a popular organization form since well-functioning task-focused groups are basic pillars of successful organizations. While there is much interest in contemporary social science in understanding team processes that lead to efficiency, most of these researches rely heavily on self-reported data yielding static and potentially biased information and tends to overlook actual interaction processes. We propose a novel approach that allows portraying a nuanced, complex picture of problem-solving group behavior by measuring performance dynamics as it evolves in real-time, in a controlled environment. The research aims to explore how collaboration networks of small project teams evolve across time and team members, and how it relates to successful task performance. We investigate interaction patterns in escape rooms, where all teams are video recorded during the task-solving process in the same experimental environment. We expected that homogeneous distribution of interaction ties across time and team members fosters successful problem-solving. Concerning the impact of the initial social roles on the dynamics of the interaction pattern, we hypothesized that flexible, less hierarchical team structures favor for problem-solving. This research aims to advance the new science of teams' by focusing on the network micro-mechanisms that allows us to treat teams as dynamic, adaptive, task-performing systems.
Bio: Rebeka O. Szabo is a visiting Pre-Doctoral Fellow at the Kellogg School of Management. She is a PhD candidate at the Central European University's Department of Network and Data Science.
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.
Live Stream:
Time
Wednesday, March 4, 2020 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Luis Amaral, Northwestern University "The World is on Fire. Is it Time to Follow the Science Yet?"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Luis Amaral, Erastus Otis Haven Professor, Professor of Engineering Sciences and Applied, McCormick School of Engineering, Northwestern University
Title:
The World is on Fire. Is it Time to Follow the Science Yet?
Abstract:
TBA
Speaker Bio:
Luis Amaral, a native of Portugal, conducts and directs research that provides insight into the emergence, evolution, and stability of complex social and biological systems. Amaral received a K-25 Career award from NIGMS, was named to the 2006 class of Distinguished Young Scholars in Medical Research by the W. M. Keck Foundation and appointed an Early Career Scientist by the Howard Hughes Medical Institute from 2009 to 2015. He is a fellow of the American Association for the Advancement of Science, the American Physical Society, the American Institute of Medical and Biological Engineers, and the Network Science Society.
Amaral has mentored 25+ graduate students and 20+ postdoctoral fellows. He has also held significant mentoring responsibilities for dozens of undergraduate and high-school students who completed internships in his lab. Amaral’s research has been published in leading scientific journals, including Nature, Science, Cell, PNAS, Nature Physics, Nature Human Behaviour, Nature Machine Intelligence, Physical Review Letters, Physical Review X, PLOS Biology, and eLife. These results reported in the publications have been featured in numerous media sources, both in the US and abroad.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/94166965463
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, networks, and artificial intelligence. 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, September 30, 2026 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Kristina Lerman, Indiana University "Social Dynamics of Human-Algorithm Interactions Amplify Social Dysfunction"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Kristina Lerman, Professor of Informatics, Luddy School of Informatics, Computing and Engineering, Indiana University
Title:
Social Dynamics of Human-Algorithm Interactions Amplify Social Dysfunction
Abstract:
Social media platforms have achieved remarkable success by predicting what users will click, watch, share, and engage with. Yet algorithmic feeds have also been implicated in rising polarization, growing psychological distress, and the erosion of social trust. How can systems so effective at predicting human behavior produce outcomes poorly aligned with human welfare? I introduce algorithmic misalignment as a framework for understanding this puzzle. Recommendation algorithms are optimized to predict observable behavior, but behavioral signals are imperfect proxies for what people actually want or value. Moreover, optimization favors behaviors that are easiest to predict—often fast, reactive, and emotionally driven responses. Feedback loops reinforce these tendencies as algorithmic recommendations shape behavior that subsequently becomes algorithmic training data, allowing subtle human biases to scale into collective outcomes. I illustrate this framework through two case studies. In political discourse, algorithms amplify anger, outrage, and out-group hostility, contributing to affective polarization. Interactions between groups then transform animosity into durable partisan disagreements. In mental health, algorithmic feeds amplify social comparison, envy, and status anxiety, with consequences for body image and eating disorders. Although typically studied separately, these outcomes may share a common structural origin in the interaction between human psychology and algorithmic optimization, suggesting new directions for designing healthier human–algorithm ecosystems.
Speaker Bio:
Kristina Lerman is a Professor of Informatics at Indiana University’s Luddy School of Informatics, Computing and Engineering. Trained as a physicist, she uses AI, machine learning and network science to answer questions in computational social science, including how algorithms and online platforms shape social behavior and human psychology, access to information, attention, and social-emotional support. Her work has been covered by the Washington Post, Wall Street Journal, and The Atlantic. She is a fellow of AAAI.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/93389536671
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, networks, and artificial intelligence. 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 7, 2026 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Timothy Tangherlini, UC Berkeley "Chat Agents, Conspiracy Theory & Threat Narratives: Cultural Analytics and Narrative at Scale"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Timothy Tangherlini, Elizabeth H. and Eugene A. Shurtleff Chair in Undergraduate Education, Distinguished Professor in the Dept. of Scandinavian and the School of Information, University of California, Berkeley
Title:
Chat Agents, Conspiracy Theory & Threat Narratives: Cultural Analytics and Narrative at Scale
Abstract:
In this talk, I present current work on the intersection of conspiracy theory and narratives of threat, with the shifting terrain of chat bots increasingly influencing the social media ecosystem. I present a generative model of narratives of threat, explore aspects of stance detection and the narrative sorting of actants and institutions into "insiders" and "outsiders." I then explore the topology of conspiracy theory as a narrative predilection for a comprehensive explanation of allegedly witnessed or experienced phenomena along with inferences about connections based on a monologic world view. Using examples from earlier political social media discussions, and updating these observations in the context of contemporaneous debates about the role of AI in society allow for insight into the thicket of connections that characterize the ongoing negotiation of belief through narrative
Speaker Bio:
Timothy R. Tangherlini, Elizabeth H. and Eugene A. Shurtleff Chair of Undergraduate Education, is a Distinguished Professor in the Dept. of Scandinavian and the School of Information at the University of California, Berkeley. He is also associate director of the Berkeley Institute for Data Science and the Faculty Director of the Berkeley Folklore Archive. He has worked on computational approaches to folklore, with an emphasis on stories and storytelling over the past three decades. Under the auspices of the NSF's Institute for Pure and Applied Mathematics, he co-directed a program on Culture Analytics, as well as an NEH Institute on Network Analysis for the Humanities. He is the author of several books, and various articles. He has done extensive fieldwork on storytelling among paramedics, and shamanism in South Korea, as well as archival work on rural 19th century Denmark. His current work focuses on generative models of common story genres such as legend, rumor, personal experience narratives, and conspiracy theories, as well as understanding cultural phenomena such as dance and cuisine across many scales of analysis.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/95645191725
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, networks, and artificial intelligence. 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 14, 2026 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Andreia Sofia Teixeira, Northeastern University London "Human Relational Ecology and Conversational AI: From Social Actor to Asymmetric Co-Regulation"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Andreia Sofia Teixeira, Associate Professor, Network Science Institute, Northeastern University London
Title:
Human Relational Ecology and Conversational AI: From Social Actor to Asymmetric Co-Regulation
Abstract:
Human cognition, mental health and relationships unfold within interconnected social systems that change over time. Drawing on work on cognitive-affective structure, the evolution of supportive and conflictual ties in adolescent social networks, and distinct social envirotypes associated with mental health and context-dependent patterns of brain connectivity, I will discuss what these different perspectives tell us about the human relational ecology in which wellbeing is embedded, including the role of co-regulation in shaping emotion, cognition and behaviour.
Understanding this ecology is especially important as conversational AI emerges as a new kind of social actor. These systems can simulate some of the interactional signals associated with co-regulation, including responsiveness, validation, emotional language and apparent empathy, but without reciprocal lived experience, vulnerability, embodiment or shared accountability. I will introduce the concept of asymmetric co-regulation to frame this distinction.
Building on emerging work at the intersection of AI use, social networks and real-world human–AI conversations, I will ask what happens when conversational AI moves beyond instrumental use and starts to occupy more relational roles: when it may scaffold or substitute for existing human capacities and forms of support, how repeated interactions may shape regulation and sense of agency over time, and how these dynamics may become embedded within wider social relationships.
Speaker Bio:
Andreia Sofia Teixeira is an Associate Professor at the Network Science Institute, Northeastern University London, where she leads the BRAN Lab (Behavioral Research and Adaptive Networks). Her research sits at the intersection of network science and machine learning, developing measures, computational models and simulation frameworks to understand the structure and dynamics of complex systems, and how local behaviour can spill over to collective scales. Her work spans human–AI interaction, collective behaviour, cognitive and affective networks, signed and temporal social networks, mental health and neuropsychiatric and neurodegenerative disorders. Across these areas, she is particularly interested in how individual states, relationships and broader social environments shape one another over time.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/98367624907
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, networks, and artificial intelligence. 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 21, 2026 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Rafael Prieto-Curiel, Complexity Science Hub Vienna "Why Incarcerating Cartel Members has not Worked to Reduce their Violence"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Rafael Prieto-Curiel, Faculty Member, Complexity Science Hub Vienna
Title:
Why Incarcerating Cartel Members has not Worked to Reduce their Violence
Abstract:
Organised crime cartels must largely be analysed as black boxes because direct observation is rarely possible, and available evidence consists mostly of imperfect proxies and very limited data. I will present complex systems models to quantify recruitment and incarceration to analyse the effect of organised criminals in Mexico. The results suggest that incarcerating cartel members has minor effects on reducing cartel violence, even with harsher punishment or longer sentences.
Speaker Bio:
Rafael Prieto-Curiel is a Faculty Member at the Complexity Science Hub, working on violence, mobility, migration and urban dynamics. He works for the OECD and the World Bank, where he does a spatial and demographic analysis of cities. He is the Scientific Advisor of Aleph.
He was awarded the “Science Breakthrough” award by the Falling Walls Foundation in 2024.
Before, he was at the Mathematical Institute of the University of Oxford / UCL CASA, working on urban dynamics at the Peak Urban project. He earned an MSc in Statistics and a PhD in Maths and Security and Crime at University College London (UCL).
He worked in the Emergency Attention Centre from Mexico City (C5) as Director of Strategic Analysis. His work consisted basically of crime forecasting and police and resource allocation.
Rafael is very interested in science communication. When he was an undergraduate student, he directed Laberintos e Infinitos, a maths magazine. When he started his PhD at UCL, he founded Chalkdust, a mathematics magazine. He also founded Punto Decimal MX, a science communication website. In total, he has published 11 editions of a maths magazine, with nearly 30,000 printed copies and edited nearly 500 articles by more than 200 authors.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/94858847147
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, networks, and artificial intelligence. 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 28, 2026 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Hamsa Bastani, University of Pennsylvania "Challenges in Achieving Human-AI Collaboration"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Hamsa Bastani, Associate Professor of Operations, Information, and Decisions, and Statistics and Data Science, Wharton School, University of Pennsylvania
Title:
Challenges in Achieving Human-AI Collaboration
Abstract:
TBA
Speaker Bio:
Hamsa Sridhar Bastani is an Associate Professor of Operations, Information, and Decisions (OID) and Statistics and Data Science at the Wharton School of the University of Pennsylvania, where she co-direct the Wharton Healthcare Analytics Lab. Her research sits at the intersection of machine learning, operations research, and economics. She studies how to design, deploy, and evaluate AI systems that empower human decision-makers and improve societal outcomes.
Professor Bastani aims to combine methodological depth with implementation in consequential environments. She has worked with national governments to deploy algorithms at the country scale for targeted border COVID-19 screening and essential medicine access, and has co-led one of the first large field studies of generative AI tutors in high school mathematics. She studies both the mathematical properties of algorithms and the way people respond to them.
Her research has been published in leading outlets including Nature, Management Science, Operations Research, and PNAS, and has garnered numerous recognitions, including the Wagner Prize for Excellence in Operations Research, the INFORMS Pierskalla Award for best healthcare paper, and the George Nicholson Prize. Previously, she graduated summa cum laude from Harvard in 2012 with an A.M. in physics and an A.B. in physics and mathematics, completed her PhD in Stanford's Electrical Engineering department under the supervision of Mohsen Bayati, and spent a year as a Herman Goldstine postdoctoral fellow at IBM Research.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/91360427929
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, networks, and artificial intelligence. 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 4, 2026 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Mayank Agrawal, Proof of Human "The Invisible Turing Test for the Internet"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Mayank Agrawal, Co-founder and CEO, Proof of Human
Title:
Proof of Human: the Invisible Turing Test for the Internet
Abstract:
This presentation introduces the Process Turing Test, a new framework for distinguishing humans from AI that goes beyond linguistic output to analyze behavioral dynamics. As LLMs routinely pass text-based Turing Tests, we need methods that probe the underlying architecture of intelligence through perception, control, and decision-making patterns. Using process tracing data from canonical cognitive tasks, we demonstrate how behavioral embeddings capture computational signatures unique to human cognition. This provides robust proof-of-personhood that resists adversarial attacks while revealing fundamental principles about how humans and machines process information differently.
Speaker Bio:
Mayank Agrawal is the co-founder and CEO of Proof of Human, a research and deployment company building the proof-of-human layer in digital identity. The company develops high-impact research and translates that work into systems for bot detection, fraud prevention, and continuous authentication. Mayank’s work focuses on new approaches to distinguishing humans from AI through behavioral and cognitive signals. He earned his PhD in Psychology and Neuroscience from Princeton University, where he studied computational models of human decision-making with Jonathan Cohen, Tom Griffiths, and Nathaniel Daw. His research spans cognitive science, machine learning, and artificial intelligence, with work published in Science, PNAS, and Psychological Review. He previously studied Computer Science and Philosophy at Swarthmore College.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/96392420891
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, networks, and artificial intelligence. 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 11, 2026 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)