Events
Past Event
CANCELLED - POSTPONED to 5/7: WED@NICO SEMINAR: Diego Gómez-Zará, University of Notre Dame
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
This week's Wednesdays @ NICO is postponed due to inclement weather forecast in the Chicago area on 2/12. Professor Gómez-Zará will instead speak during our Spring Seminar Series, on 5/7/25.
Speaker:
Diego Gómez-Zará, Assistant Professor, Department of Computer Science and Engineering, University of Notre Dame
Title:
All-Female and Female-Led Teams Drive More Breakthrough Ideas in Science and Innovation
Abstract:
The increase of female researchers in science over the past decades has initiated many studies on the gender composition of teams and their research outcomes. Substantial evidence underscores the value of including female researchers in science. Yet, their impact on driving new research directions and technological innovation within teams remains underexplored. In this presentation, we analyze over 65 million papers and two million patents spanning 1950-2010. We document the rise in all-female teams and demonstrate that all-female teams consistently produce the highest proportion of disruptive papers. We explore this trend across time periods, team sizes, and fields. We find that despite the overall decline in disruption, notably, all-female teams have the smallest decline in disruption. We analyze publication text, field-specific structural differences, author careers, leadership dynamics, and team dynamics to understand the vital role that all-female teams play in driving breakthroughs.
Speaker Bio:
Diego Gómez-Zará is an Assistant Professor of Computer Science and Engineering at the University of Notre Dame. His research focuses on how social computational systems help people organize and collaborate. His work has been at the forefront of computational social science, human-computer interaction, and network science. Before joining Notre Dame, he was a postdoctoral fellow at Northwestern University's Kellogg School of Management and received his Ph.D. in Technology and Social Behavior at Northwestern University. His recent publications include work in recommender systems, team formation, diversity, and virtual reality. This research has won best paper awards at top conferences in human-computer interaction, including CHI, CSCW, and IUI. His research has been supported by the Alfred P. Sloan Foundation, DARPA, National Science Foundation, Microsoft Research, IBM, Amazon Research, and Slack Inc.
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, February 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 - 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
Contact
Calendar
University Academic Calendar
Independence Day (observed) - University Closed
University Academic Calendar
All Day
Details
Independence Day (observed) - University Closed
Time
Friday, July 3, 2026
Contact
Calendar
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