Events
Past Event
WED@NICO SEMINAR: Penny Mealy, University of Oxford "Adjacent Possible Policies: The Climate Policy Space Conditions Future Policy Adoption"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Penny Mealy - Economist at the World Bank, Research Associate at INET and the University of Oxford Smith School of Enterprise and the Environment, Adjunct Senior Research Fellow at SoDa Labs at the Monash Business School
Title:
Adjacent Possible Policies: The Climate Policy Space Conditions Future Policy Adoption
Abstract:
The feasibility of implementing climate policy – rather than technological constraints or economic costs – is now looming as one of the biggest impediments to keeping global warming below 1.5’C. While it is often recognized that certain policies are possible in some contexts and not others, to date there has been limited quantitative or empirical analysis of the extent to which policy feasibility differs across countries. Drawing on a rich dataset of climate policies introduced across countries over the last 50 years, this paper explores global patterns in climate policy adoption and identifies climate policies that are likely to involve greater political effort than others. By constructing a ‘Climate Policy Space’ network based on the co-occurrence of climate policies across countries, we illustrate differences in countries’ climate policy adoption and their evolution through time.
We also develop a measure of climate policy alignment and show that this measure is significantly predictive of future climate policy adoption. Based on this measure, we construct empirically validated climate policy ‘feasibility frontiers’ for each country, highlighting climate policies that are likely to be more feasible to adopt. While the exploring space of feasible climate policies paints a sobering picture for some countries, having a better understanding of countries’ policymaking realities could help improve the policy design process and increase the probability of successful climate policy implementation in the future.
Speaker Bio:
Penny Mealy is an economist at the World Bank, a Research Associate at INET and the Oxford Smith School of Enterprise and the Environment, and an Adjunct Senior Research Fellow at SoDa Labs at the Monash Business School. Her work applies various methods from complex systems and data science to analyse the interrelated challenges of climate change and economic development. Her research has developed novel, data-driven approaches for analysing structural change, occupational mobility and the future of work, and the transition to the green economy.
Penny completed a PhD at the Institute for New Economic Thinking at Oxford University. She has held various research fellow roles at the Oxford Martin School, the Oxford Smith School of Enterprise and the Environment, the Bennett Institute for Public Policy at Cambridge University, and SoDa Labs, Monash University. Penny also has frequently advised international organisations, governments and businesses on green growth and development strategies.
Location:
NOTE: Penny Mealy is joining this talk remotely via Zoom. Attendees are welcome to join us in Chambers Hall as usual where we will project and moderate the talk. We will have boxed lunches for those in attendance.
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/93658786968
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 26, 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
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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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Independence Day (observed) - University Closed
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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