Events
Past Event
WED@NICO SEMINAR: Karim Lakhani, Harvard Business School "Through the Looking Glass of the Knowledge Production Process"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Karim R. Lakhani - Charles E. Wilson Professor of Business Administration, Harvard Business School
Title:
Through the Looking Glass of the Knowledge Production Process: Knowledge Exchange, Cognitive Similarity and Knowledge Production in Science
Abstract:
This research considers how knowledge exchange between two workers affects the knowledge production process, namely knowledge transfer, creation and diffusion. We theorize that field and intellectual similarity between individuals’ prior related discipline and knowledge domain areas systematically relates to the extent that knowledge is transferred, created and diffused. To estimate the relationships, we designed and executed a randomized natural field experiment at an advanced imaging symposium for medical scientists, in which exogenous variation was introduced to provide one-quarter of the 28,258 scientist-pairs with opportunities for information-rich, face-to-face encounters. Our data includes direct observations of interaction patterns collected using sociometric badges, and detailed longitudinal data on their publication records for six years following the symposium. Findings suggest knowledge exchange is more likely to lead to knowledge transfer and creation when individuals share intellectual interests in common. By contrast, knowledge exchange reduces knowledge creation and diffusion when individuals share greater field similarity. This suggests that prior cognitive similarity can have differentiated effects on the knowledge production process and that organizational activities aimed at promoting knowledge exchange needs to consider how the field and intellectual overlap between employees can affect the productivity of the knowledge production process.
Speaker Bio:
Karim R. Lakhani is the Charles E. Wilson Professor of Business Administration and the Dorothy and Michael Hintze Fellow at the Harvard Business School. He is the founder and co-director of the Laboratory for Innovation Science at Harvard, the principal investigator of the NASA Tournament Laboratory at the Harvard Institute for Quantitative Social Science, and the faculty co-founder of the Harvard Business School Digital Initiative. He specializes in technology management and innovation. His research examines crowd-based innovation models and the digital transformation of companies and industries. Lakhani is known for his pioneering scholarship on how communities and contests can be designed and managed to achieve innovative outcomes. He has partnered with NASA, Topcoder, and the Harvard Medical School to conduct field experiments on the design of crowd innovation programs. His research on digital transformation has shown the importance of data and analytics as drivers of business and operating model transformation and source of competitive advantage. He serves on the Board of Directors of Mozilla Corporation and Local Motors.
Live Stream:
** Please note that in addition to streaming, we will record this talk for later viewing. We apologize to those who cannot attend due to Yom Kippur. **
Time
Wednesday, October 9, 2019 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
No classes - Memorial Day - University offices are closed
University Academic Calendar
All Day
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No classes - Memorial Day - University offices are closed
Time
Monday, May 25, 2026
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Calendar
University Academic Calendar
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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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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