Events
Past Event
Data Science Nights - FEBRUARY 2022 Meeting (Speaker: Emily Webber, Amazon)
Northwestern Institute on Complex Systems (NICO)
5:30 PM
Details
FEBRUARY MEETING: Monday, February 28, 2022 at 5:30pm (US Central) via Zoom
DATA SCIENCE NIGHTS are monthly talks on data science techniques or applications, organized by Northwestern University graduate students and scholars. Aspiring, beginning, and advanced data scientists are welcome!
ZOOM: https://northwestern.zoom.us/j/7199764864
RSVP: https://forms.gle/RkAdfHHLCEKQPsqp8
AGENDA:
5:15 - 5:30 p.m. Meet & Greet
5:30 - 5:45 p.m. Talk by Emily Webber from Amazon
5:45 - 6:15 p.m. Extended Q&A
6:15 - 7:15 p.m. Meeting of people interested in taking on the organization of DSN for the future.
SPEAKER: Emily Webber, Senior Machine Learning Specialist Solutions Architect, Amazon Web Services
TITLE: A day in the life of the Amazon SageMaker (machine learning) team
ABSTRACT: Machine learning specialists at Amazon Web Services help customers make the best use of machine learning resources on the cloud to solve business challenges, improve operations, and promote innovation. Join us for a look at the exciting tools and interesting problems data scientists get to work with, in a talk by Senior Machine Learning Specialist, Emily Webber. We will also hear about Webber's path to becoming a data scientist, while keeping connected to academia and providing mentorship.
BIO: Emily Webber is currently a Senior Machine Learning Specialist Solutions Architect at Amazon Web Services (AWS). She is also an adjunct professor at the Illinois Institute of Technology (IIT) and a machine learning mentor at 1871, a startup incubator. Webber earned her MS from the University of Chicago in 2017, where she interned at Data Science for Social Good. Webber has worked for IssueVoter, the Federal Reserve Bank of Chicago, and simMachines (ML software company). She is a keynote speaker at Amazon Web Services, and has a YouTube video channel on SageMaker with 150,000+ views.
YOU can make a difference at DSN
The graduate students and postdocs organizing Data Science Nights (DSN) are evaluating the possibility of expanding the types of events comprising DSN and determining the optimal frequency for different types of events. In order to best understand what the Northwestern community needs, we have prepared a short survey to guide our decision making. If you know anyone potentially interested in DSN, please share this survey with them. Thank you for taking the time to help improve DSN!
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.
Thanks to our co-host in this talk, AI@NU!
Time
Monday, February 28, 2022 at 5:30 PM - 7:15 PM
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Daniel Stouffer, Leibniz Institute "Conceptual and Theoretical Challenges in the Study of Multi-Species Coexistence"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Daniel B. Stouffer, Research Group Leader, Department of Evolutionary and Integrative Ecology, the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany
Title:
Conceptual and Theoretical Challenges in the Study of Multi-Species Coexistence
Abstract:
The population dynamics of most ecological communities unfold on temporal scales that cannot be fully studied in the laboratory or field. The generation times of trees, for example, are so long and varied that we may need to wait decades to determine how a whole, interconnected forest community responds to a changing climate. Many researchers thus use models to generate predictions that go beyond the bounds of what is experimentally tractable. To do so, it has become common to follow the "model-paramerisation paradigm". For example, a researcher interested in forest dynamics would not conduct long-term experiments to directly probe whether one tree species is ever competitively excluded by any other(s). Instead, they would use data from shorter-term experiments to estimate the parameters of a presupposed model, and then study whether or not their empirically parameterised model predicts competitive exclusion or coexistence. As powerful as this perspective has proven to be, it routinely hinges on multiple key assumptions that limit its versatility. I will describe recent and ongoing work that challenges these assumptions, while also describing some unexpected hurdles encountered along the way.
Speaker Bio:
Daniel B. Stouffer is a Research Group Leader in the Department of Evolutionary and Integrative Ecology at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Berlin, Germany. His group adopts a variety of computational, statistical, and analytical approaches to overcome ecological communities' innate complexity while exploring fundamental biological questions. They work on a variety of topics and systems and are particularly interested in understanding the emergent ecological and evolutionary consequences that arise due to interactions between species.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/98364690035
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, networks, and artificial intelligence. 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 6, 2026 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Hamsa Bastani, Wharton School, University of Pennsylvania "Challenges in Achieving Human-AI Collaboration"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
Speaker:
Hamsa Bastani, Associate Professor of Operations, Information, and Decisions, and Statistics and Data Science, Wharton School, University of Pennsylvania
Title:
Challenges in Achieving Human-AI Collaboration
Abstract:
TBA
Speaker Bio:
Hamsa Sridhar Bastani is an Associate Professor of Operations, Information, and Decisions (OID) and Statistics and Data Science at the Wharton School of the University of Pennsylvania, where she co-direct the Wharton Healthcare Analytics Lab. Her research sits at the intersection of machine learning, operations research, and economics. She studies how to design, deploy, and evaluate AI systems that empower human decision-makers and improve societal outcomes.
Professor Bastani aims to combine methodological depth with implementation in consequential environments. She has worked with national governments to deploy algorithms at the country scale for targeted border COVID-19 screening and essential medicine access, and has co-led one of the first large field studies of generative AI tutors in high school mathematics. She studies both the mathematical properties of algorithms and the way people respond to them.
Her research has been published in leading outlets including Nature, Management Science, Operations Research, and PNAS, and has garnered numerous recognitions, including the Wagner Prize for Excellence in Operations Research, the INFORMS Pierskalla Award for best healthcare paper, and the George Nicholson Prize. Previously, she graduated summa cum laude from Harvard in 2012 with an A.M. in physics and an A.B. in physics and mathematics, completed her PhD in Stanford's Electrical Engineering department under the supervision of Mohsen Bayati, and spent a year as a Herman Goldstine postdoctoral fellow at IBM Research.
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/99847338986
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, networks, and artificial intelligence. 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 13, 2026 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
WED@NICO SEMINAR: Lightning Talks with NU Scholars!
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level, Chambers Hall
Details
NICO is looking for participants to share 12-15 minute lightning talks on their current research. To sign up, please fill out this short survey. These are open to Northwestern graduate students, postdoctoral fellows, and visiting scholars!
All talks will be given in person at Chambers Hall and this event will also be livestreamed via Zoom.
Speakers will be balanced based on their topics/disciplines in order to provide a broad representation of the research activities at NICO
Location:
In person: Chambers Hall, 600 Foster Street, Lower Level
Remote option: https://northwestern.zoom.us/j/98031689779
About the Speaker Series:
Wednesdays@NICO is a vibrant weekly seminar series focusing broadly on the topics of complex systems, networks, and artificial intelligence. 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 20, 2026 at 12:00 PM - 1:00 PM
Location
Lower Level, Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)