Events
Past Event
Data Science Nights - June 2021 Meeting (Speaker: Juandalyn Burke)
Northwestern Institute on Complex Systems (NICO)
5:15 PM
Details

JUNE MEETING: Tuesday, June 29, 2021 at 5:30pm (US Central) via Zoom and Gather
DATA SCIENCE NIGHTS are monthly hack nights on popular data science topics, organized by Northwestern University graduate students and scholars. Aspiring, beginning, and advanced data scientists are welcome!
AGENDA:
5:15: Welcome to Data Science Nights via Zoom
* Zoom Link: https://northwestern.zoom.us/j/99588631168
5:30: Presentation by Juandalyn Burke, University of Washington
6:00: Hacking session via Gather
* Gather link: https://gather.town/app/UCTJAHOgQi2FLx4O/DSN
SPEAKER: Juandalyn Burke, Ph.D. Candidate, Biomedical Informatics and Medical Education Department, University of Washington
TOPIC: Using an Ecological Inference Software Tool to Detect Vote Dilution
The most basic characteristic of a democratic system is the right to vote. The Voting Rights Act (VRA) of 1965 was established to ensure fair voting practices were enacted and that elected officials were representative of the community they served. The VRA prohibits unfair and discriminatory voting practices, including racially polarized voting and vote dilution, based on the race or an individual’s association with minority language groups. However, in the United States, violations of the VRA are difficult to prove because information on race and ethnicity is not collected in the voting process. By definition, racially polarized voting occurs when distinct racial or ethnic groups vote divergently to elect their separate candidates of choice. Vote dilution occurs when the racial majority group votes to block the minority group from electing their preferred candidate. The eiCompare software package detects both racially polarized voting and vote dilution by inferring the race or ethnicity of the voters in a population using several methods of ecological inference. We improved and added features to the eiCompare package including: geocoding, more accurate procedures in detecting the race of voters, better visualization of ecological inference outcomes, parallel processing, and analysis of historical voting data. We think these new features will allow for better detection of racially polarized voting and vote dilution and will help to support evidence presented in voting rights litigation.
ADDITIONAL HACKING SESSION INFO
For anyone interested in building and analyzing networks, Jenny Liu will be at the "hack" sessions with code related to networks. The goal will be to go through some basic exercises from a book, then move onto reproducing the results of some papers.
For more info: data-science-nights.org
Supporting Groups:
This event is supported by the Northwestern Institute for Complex Systems and the Northwestern Data Science Initiative.
Time
Tuesday, June 29, 2021 at 5:15 PM - 7:30 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Lightning Talks w/ Northwestern Scholars!
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details

Speakers:
Yessica Herrera, Visiting Scholar, Northwestern Institute on Complex Systems
Talk Title: The Body Speaks: Visual Cues of Psychological Stress in Bodily Expressions
Abstract: Emotions shape body movement, yet the visual cues that signal psychological stress—distinct from other emotional states—remain poorly understood. Acute stress alters motor patterns and may produce subtle expressive markers. In this study, dancers performed creative improvisations under stress (induced via the Trier Social Stress Test) and in a control condition. Movements were video-recorded and rated by 25 non-expert observers (ages 18–23, all female) using qualitative parameters from Laban Movement Analysis—Weight, Flow, and Rhythm— alongside perceived stress levels. Our study shows that observers reliably identified stressed performances, associating stress with tense, less fluid, and rhythmically altered movement. These findings reveal nuanced visual cues of psychosocial stress in expressive motion and have implications for fields like dance, clinical assessment, and emotionally intelligent systems. In particular, this work supports the growing efforts to make robotic movement more meaningful to humans by applying insights from movement perception studies to improve the design of expressive and more likable robotic technologies.
Aakriti Kumar, Postdoctoral Fellow, Kellogg School of Management and the Northwestern Institute on Complex Systems
Talk Title: Large language models can provide expert-aligned judgments of empathic communication
Abstract: Large language models (LLMs) appear to excel at empathic communication in text-based conversations. But, how reliably can machines judge the nuances of empathic communication? We compare annotations by experts, crowd workers, and LLMs based on four empathic communication frameworks applied to four different datasets. Specifically, we investigate the inter-rater reliability of these three groups across 1,050 annotations of 200 conversations where one partner is sharing a problem, and the other is offering empathetic support. We find high but imperfect reliability between experts across most sub-components of empathic communication; inter-rater reliability between experts varies based on the clarity, complexity, and subjectivity of these sub-components. Furthermore, we find that LLMs approach expert level inter-rater reliability and surpass the inter-rater reliability between crowd workers and experts. Finally, we demonstrate that evaluating subjective annotation can be misleading with traditional classification metrics but clear and robust when evaluating with inter-rater reliability contextualized by an empirical ceiling.
Tingyu "Mark" Zhao, PhD Student, Department of Industrial Engineering and Management Sciences
Talk Title: Noise Filtering in Complex Networks
Abstract: Networks are powerful representations of complex systems, yet real-world network data are often corrupted by edge-level measurement inaccuracies, sampling biases, and incomplete observations, compromising analytical validity. Here, we introduce the Network Wiener Filter (NetWF), a principled method to filter edge noise that jointly leverages both network topology and explicit noise characterization, thereby enhancing downstream analyses and inferences. We demonstrate the efficacy of NetWF in two distinct settings: the Enron Corpus email network and the genetic interaction network of the yeast \textit{Saccharomyces cerevisiae}, noting promising results in both studies. Equipped with technologies such as NetWF, we advocate for error-aware network analysis, with the hope to usher in a new chapter of network science, one that embraces data imperfection as an inherent feature and learns to navigate it effectively.
Sign Up:
Sign up to present at a future Lightning Talk session. NICO Lightning Talks are open to graduate students, postdoctoral fellows, and visiting scholars.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/95387714084
Passcode: NICO25
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, May 14, 2025 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Rosemary Braun, Northwestern University "The Scale of Life"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
//
Lower Level, Chambers Hall
Details

Speaker:
Rosemary Braun, Associate Professor, Department of Molecular Biosciences, Northwestern University
Title:
The Scale of Life
Abstract:
Living systems exhibit surprising and beautiful self-organization at all scales. At the atomic level, proteins self-assemble into macromolecular complexes. The function of these machines is orchestrated within the cell by regulatory networks, whose activity is in turn dictated by, and coordinated with, the cells environment. This coordination takes place across large spans of space and time: the size and lifetime of organisms as large as the blue whale. Populations and ecosystems of many organisms in turn exhibit remarkable emergent dynamics. Today, advances in single-cell assays enable us to probe the molecular state of every cell in a sample in high-dimensional detail. But is this the correct scale at which to probe living systems? What can we learn from this data, and how can we abstract from the microscopic details to macroscopic phenotypes? In this talk, I will discuss some of our recent work bridging the cell and tissue/organism scales, and discuss some challenges and opportunities for the future.
Speaker Bio:
Rosemary Braun is an Associate Professor of Molecular Biosciences, Applied Mathematics [ESAM], and Physics at Northwestern University. A theoretical physicist by training, she earned her PhD in Physics from the University of Illinois, followed by a Masters in Biostatistics from Johns Hopkins University. She completed her postdoctoral training at the National Cancer Institute (NIH) before joining Northwestern as a faculty member. Today, she works at the intersection of statistics, mathematics, and biology to develop computational tools for analyzing high-dimensional data. In addition to her Northwestern affiliations, she is also Associate Director of the National Institute for Theory and Mathematics in Biology, as well as external faculty of the Santa Fe Institute.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/97015976754
Passcode: NICO25
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, May 21, 2025 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)