Events
Past Event
WED@NICO SEMINAR: Anjali Bhatt, Harvard Business School "Who Switches Cultural Codes? Evidence from an Organizational Merger"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Anjali Bhatt - Assistant Professor, Harvard Business School, and Complexity Fellow, Santa Fe Institute
Title:
Who Switches Cultural Codes? Evidence from an Organizational Merger
Abstract:
What explains variation in how individuals adapt in culturally heterogeneous contexts? The most consequential cultural dynamics often occur at the intersection of multiple social groups and cultural codes, yet research on social learning and adaptation has predominantly focused on intragroup contexts and conformity to a single group culture. In this talk, I investigate the relationship between these two instances of cultural adaptation – intragroup conformity and intergroup code-switching. Theoretically, conformity may alternately indicate an individual’s capacity to learn and adapt to cultural codes (“skill”) or an individual’s signal of commitment to their group (“will”). I propose that these two theories can be disentangled based on individuals’ intragroup social status: low status individuals who exhibit intragroup conformity may be more likely to switch cultural codes in intergroup contexts, while high status individuals who exhibit intragroup conformity may tend to culturally entrench when exposed to multiple codes. I find evidence for these ideas by applying the tools of computational linguistics to a unique dataset of 1.5 million employee emails and personnel records from before and after an organizational merger of two U.S. regional banks. To circumvent the assumption of cultural homogeneity (a critical challenge for measuring culture), I exploit a random forest classifier to categorize the linguistic styles of messages as either breaching or conforming to existing cultural codes. I discuss implications for status-based theories of cultural boundary work, cultural adaptation in heterogenous contexts, and post-merger cultural dynamics.
Speaker Bio:
Anjali Bhatt is an Assistant Professor in the Organizational Behavior Unit at HBS and a Fellow at the Santa Fe Institute for the study of complex adaptive systems. Professor Bhatt completed her PhD in organizational behavior from Stanford GSB and her AB in physics and chemistry from Harvard College. Professor Bhatt's research investigates structural and cultural change in organizations, including the dynamics of hiring, M&A, and reorganizations. Her work employs a variety of computational methods, including simulations, natural language processing, and machine learning.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/91615317110
Passcode: NICO2022
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, April 20, 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
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All Day
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Spring 2026 Commencement
Time
Sunday, June 14, 2026
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Juneteenth - University Closed
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Juneteenth - University Closed
Time
Friday, June 19, 2026
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Independence Day (observed) - University Closed
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Independence Day (observed) - University Closed
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Friday, July 3, 2026
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Fall 2026 Classes Begin
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Fall 2026 Classes Begin
Time
Wednesday, September 23, 2026
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