Events
Past Event
WED@NICO SEMINAR: Lightning Talks with NU Scholars and Fellows!
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
NICO is hosting another round of research lightning talks as a part of our Wednesdays@NICO seminar series. Open to Northwestern graduate student or postdoctoral fellows! If you are interested in giving a lightning talk (~12 minutes with questions) to the broader NICO audience, please sign up here: bit.ly/lightning-nico
Speakers will be balanced based on their topics/disciplines in order to provide a broad representation of the research activities at NICO.
Speakers:
Rod Abhari - PhD Student, Media, Technology, and Society "Analyzing Cross-Platform Media Polarization with Multilayer Networks"
Although much has been said about the consequences of new media for polarization, far less research has compared audience polarization across the broad array of platforms and news sources that constitute the diet of the modern media consumer. Using a cross-sectional survey of 986 respondents, we modeled a multilayer audience duplication network where news sources were represented as nodes connected by overlapping audiences and located on a separate layer for each media platform they were reported on. We constructed two audience duplication networks for liberal and conservative audiences separately and then measured partisan overlap among sources by computing the Pearson correlation coefficient between the two networks using the QAP network correlation procedure. Unlike past research, our multilayer audience duplication networks allow us to measure two significant phenomena: within-platform polarization, or the partisan overlap for distinct sources consumed within the same platform, and between-platform polarization, or the partisan overlap for the same source consumed across multiple platforms.
Oh-Hyun Kwon - PhD Student, Kellogg School of Management "Is Innovation Suspense or Surprise?"
In this study, we find that suspenseful and surprising innovations hold distinct predictabilities and future impacts, by constructing an embedding space of the classification codes. Specifically, suspenseful innovations gradually increase contextual similarity, and long-term innovation prediction becomes possible. On the other hand, surprising innovation is more challenging to predict, but it brings more impact on the domain. These findings can help approach innovations and their impact.
Y. Jasmine Wu - PhD Candidate, Communication Studies "Information sharing in the hybrid workplace: Understanding the role of ease-of-use perceptions of communication technologies in advice-seeking relationship maintenance"
Shifts to hybrid work prompted by the COVID-19 pandemic have the potential to sibstantially impact social relationships at work. Hybrid employees rely heavily on digital collaboration technologies to communicate and share information, and employees’ perceptions of the technologies are critical in shaping organizational networks. However, the dyadic-level misalignment in these perceptions may lead to relationship dissolution. To explore the social network consequences of hybrid work, we conducted a two-wave survey in a department of an industrial manufacturing firm. Our results of Stochasic Actor-Oriented Models show that employees were less likely to maintain their advice-seeking ties when they had a mismatch in the ease-of-use perception of technology with their colleagues. The effect was stronger when advice-seekers tended to work remotely. The study provides empirical insights into how congruence in employees' perceptions of organizational communication technologies relates to the dynamics of advice networks in the hybrid workplace.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/98133745974
Passcode: NICO23
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, May 3, 2023 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
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Spring 2026 Commencement
Time
Sunday, June 14, 2026
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University Academic Calendar
Juneteenth - University Closed
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All Day
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Juneteenth - University Closed
Time
Friday, June 19, 2026
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University Academic Calendar
Independence Day (observed) - University Closed
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All Day
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Independence Day (observed) - University Closed
Time
Friday, July 3, 2026
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Fall 2026 Classes Begin
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All Day
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Fall 2026 Classes Begin
Time
Wednesday, September 23, 2026
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University Academic Calendar