Events
Past Event
WED@NICO SEMINAR: Lightning Talks w/ Northwestern Scholars and Fellows
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
NICO LIGHTNING TALKS are open to Northwestern graduate student or postdoctoral fellows! If you are interested in giving a lightning talk (~10 minutes with questions) to the broader NICO audience, please fill out this short survey: https://kellogg.qualtrics.com/jfe/form/SV_6XdMMBOgiOylqgS. We will host our next session in Winter 2023.
Fall Speakers
Tara Sowrirajan - Research Assistant Professor
Kellogg School of Management
Northwestern Institute on Complex Systems
"The Glass Ceiling in Boundary Pushing Innovation"
We analyze the innovation system and find systematic differences in the patenting experiences between male and female inventors. Women inventors’ boundary-pushing inventions are rejected more than men’s whereas women’s conventional inventions show no differences in patenting rates than men’s. Patent grant rates for men increase when they make novel connections between technological domains, while women face an increased chance of rejection.
Ruoming Gong - PhD Student
McCormick School of Engineering
Engineering Sciences and Applied Mathematics
"How do planetary rings form? A new idea based on collisions and oscillators."
Why do some planets have rings and moons while others have only moons (or neither)? We propose a toy model for ring and moon formation based on ideas drawn from the study of coupled oscillators. Specifically, we examine the behavior of a system of N identical particles locked into circular, gravitationally-bound orbits around a central body. We treat interactions as dominated by inter-particle collisions and demonstrate that the system can be reduced to a variant of the Kuramoto model, which undergoes a phase transition as parameters vary. This may explain the transition between the formation of rings versus moons.
Yaxin Cui - PhD Student
McCormick School of Engineering
Mechanical Engineering
"Network Based Customer Preference Modeling"
We present an approach of modeling heterogeneous customer preferences and decision-making behaviors based on social network science by viewing customer-product relationships (customers consider and purchase products) as networks. Case studies on modeling customer preferences in vehicle systems design highlight the steps of network-based customer preference modeling and demonstrate its advantages in visualizing and modeling the complex interdependencies among different entities in a design ecosystem.
Elisa Borowski - PhD Candidate
McCormick School of Engineering
Civil and Environmental Engineering
"Wisdom of Crowds in Multi-Hazard Events: The Role of Social Influence in a Pandemic-Concurrent Flood Evacuation"
Social influence has been shown to be a significant factor in evacuation decision-making, but what happens when multiple hazards occur simultaneously? This study examines the role of social influence when a flood evacuation happens during a viral pandemic. Our results show that people tend to follow the crowd when deciding whether to evacuate but go against the crowd when deciding how to evacuate. Furthermore, the magnitude of social influence is inversely proportional with the flood threat level. These findings have important implications for emergency management communication.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/91209535173
Passcode: NICO22
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, October 19, 2022 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Data Science Nights - MAY 2026 - Speaker: Xudong Tang, Computer Science and NICO
Northwestern Institute on Complex Systems (NICO)
5:30 PM
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M416, Technological Institute
Details
MAY MEETING: Thursday, May 28, 2026 at 5:30pm (US Central)
LOCATION:
ESAM Conference Room, Tech M416
2145 Sheridan Road, Evanston, IL 60208
AGENDA:
5:30pm - Meet and greet with refreshments
6:00pm - Talk with Xudong Tang, PhD Student, Computer Science, NICO, and the Human-AI Collaboration Lab, Northwestern University
TALK TITLE:
Human and Machine Perception of Voice Similarity
ABSTRACT:
Modern voice cloning systems generate synthetic speech that listeners frequently cannot identify as being synthetic. But a voice can sound natural without sounding like the intended person, and what determines whether a clone is heard as a particular person is an open question. Here we report a large-scale preregistered experiment in which we collected 92,239 responses from 175 participants on their perception of pairs of real recordings, voice clones, and continuously morphed voices drawn from 100 contemporary celebrities across 20 speaker groups. We find that voice clones do not reliably preserve perceived speaker identity, reducing same-speaker judgments by 12.7 percentage points even though the clones are produced by a state-of-the-art text-to-speech model, while leaving different-speaker judgments unchanged. Using continuously morphed stimuli, we find that speakers vary substantially in how much variation their perceived identity tolerates, and that this variation is not predicted by speaker demographics. Speaker embeddings account for 58.9\% (95\% CI = [55.7, 61.9]) of variance in identity judgments, which is more than acoustic features, social attributes, and clone status combined. Once all these observed features are accounted for, clone status adds no additional predictive power. These results shows that the perceptual impact of voice cloning is positional rather than categorical: we can model how listeners judge a voice by how close it falls to the perceptual boundary that defines each speaker's recognizable voice, applying the same criterion to real and synthetic speech alike.
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
FUTURE DATES:
Data Science Nights will return in September!
Time
Thursday, May 28, 2026 at 5:30 PM - 7:00 PM
Location
M416, Technological Institute Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Spring 2026 Commencement
University Academic Calendar
All Day
Details
Spring 2026 Commencement
Time
Sunday, June 14, 2026
Contact
Calendar
University Academic Calendar
Juneteenth - University Closed
University Academic Calendar
All Day
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Juneteenth - University Closed
Time
Friday, June 19, 2026
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Calendar
University Academic Calendar
Independence Day (observed) - University Closed
University Academic Calendar
All Day
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Independence Day (observed) - University Closed
Time
Friday, July 3, 2026
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University Academic Calendar
Fall 2026 Classes Begin
University Academic Calendar
All Day
Details
Fall 2026 Classes Begin
Time
Wednesday, September 23, 2026
Contact
Calendar
University Academic Calendar