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DTSTART;TZID=America/New_York:20260422T150000
DTEND;TZID=America/New_York:20260422T160000
DTSTAMP:20260508T231036
CREATED:20260324T134111Z
LAST-MODIFIED:20260324T134121Z
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SUMMARY:(DSS Colloquium) Silvia Lindner\, University of Michigan
DESCRIPTION:Data Science & Society (DSS) Colloquium Talk with Silvia Lindner\, University of Michigan on Wednesday April 22 at 3PM in Rocky 300. \nTitle: Feeling Like a State: Control in the Age of AI \n 
URL:https://pages.vassar.edu/mathstats/event/dss-colloquium-silvia-lindner-university-of-michigan/
LOCATION:Rockefeller Hall 300
CATEGORIES:DSS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260402T160000
DTEND;TZID=America/New_York:20260402T170000
DTSTAMP:20260508T231036
CREATED:20260324T133935Z
LAST-MODIFIED:20260324T133943Z
UID:954-1775145600-1775149200@pages.vassar.edu
SUMMARY:(Colloquium) Noah Giansiracusa\, Bentley University
DESCRIPTION:The Mathematics & Statistics Department\, Data Science & Society (DSS)\, and Asprey Center for Collaborative Approaches to the Sciences (ACCAS) jointly sponsored Colloquium Talk with Noah Giansiracusa\, Bentley University on Thursday April 2 at 4PM in Rocky 300. \nTitle: From Volcanoes to Robots: The Hidden Geometric Pattern Shaping our World \nAbstract: On the northern coast of Ireland is a remarkable natural formation called the Giant’s Causeway. Nearly perfect pentagons and hexagons reach up from the sea in stone columns. In the 18th century\, these shapes helped geologists discover our planet’s volcanic past. In the 19th century\, the geometric pattern responsible for these shapes helped Darwin shore up a gap in his theory of evolution\, and it helped end a cholera outbreak. In the 20th century\, this same pattern helped telecom companies design cell tower networks. And in the 21st century\, it helps autonomous robots navigate. How can one geometric pattern do so much? Come find out! \nPoster Link:\nhttps://pages.vassar.edu/dss/files/2026/03/noah-poster-draft-3.pdf
URL:https://pages.vassar.edu/mathstats/event/colloquium-noah-giansiracusa-bentley-university/
LOCATION:Rockefeller Hall 300
CATEGORIES:DSS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260401T150000
DTEND;TZID=America/New_York:20260401T160000
DTSTAMP:20260508T231036
CREATED:20260324T133603Z
LAST-MODIFIED:20260324T134115Z
UID:952-1775055600-1775059200@pages.vassar.edu
SUMMARY:(DSS Colloquium) Honghong Tinn\, University of Minnesota
DESCRIPTION:Data Science & Society (DSS) Colloquium Talk with Honghong Tinn\, University of Minnesota on Wednesday April 1 at 3PM in Rocky 310. \nTitle: Taiwan Semiconductor and the New Geopolitics of the 21st Century \nAbstract: Taiwan rose to global prominence in high tech manufacturing since the 1990s. From computer maker to the world’s leading chip manufacturer\, Taiwan boasts the likes of Acer\, Foxconn\, Asus\, and Taiwan Semiconductor Manufacturing Company (TSMC). In this talk\, I will present a history of the fabrication of semiconductor chips in Taiwan. First\, I will review Morris C. M. Chang’s founding of TSMC\, and the multiple origins of the “dedicated foundry model” in the 1980s. The model was independently created by Morris Chang\, and Robert H. C. Tsao at United Microelectronics Corporation (UMC). I argue that the model originated from Chang’s and Tsao’s similar understandings of Taiwan’s successful computer manufacturing industry. Second\, I will discuss how various parties in the United States and Taiwan deemed TSMC’s high-end chips valuable resources in 2022 to cultivate international support to assist Taiwan in deterring a potential Chinese incursion. This talk draws on chapter 10 of my book Island Tinkerers: Innovation and Transformation in the Making of Taiwan’s Computing Industry (MIT Press\, 2025). \nPoster Link:\nhttp://pages.vassar.edu/dss/files/2026/03/20260401_TinnHonghong.pdf \n 
URL:https://pages.vassar.edu/mathstats/event/dss-colloquium-honghong-tinn-university-of-minnesota/
LOCATION:Rockefeller Hall 310
CATEGORIES:DSS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251208T170000
DTEND;TZID=America/New_York:20251208T180000
DTSTAMP:20260508T231036
CREATED:20251125T184536Z
LAST-MODIFIED:20251125T184536Z
UID:887-1765213200-1765216800@pages.vassar.edu
SUMMARY:(LAVA) Rachel Wagner-Kaiser\, VC '10
DESCRIPTION:LAVA Talk on Beyond the AI Hype Cycle\, with Rachel Wagner-Kaiser (VC ’10)\, Monday\, December 8\, 2025 at 5PM in Rocky 200. \n \nAbout Rachel:\nRachel Wagner-Kaiser\, Ph.D.\, class of 2010\, double-majored in Physics & Astronomy at Vassar.  Rachel is now Director\, Data Scientist in consulting at KPMG US. She has 15 years of experience in data and AI and specializes in building AI and natural language processing solutions for real-world problems constrained by limited or messy data. \n\n\n\n\nRachel works across industries to lead technical teams to design\, build\, deploy\, and maintain NLP solutions. Her expertise has helped companies organize and decode their unstructured data to solve a variety of business problems and drive value through automation at scale. \nShe is also author of the book “Teaching Computers to Read”\, a practical guide to effective AI solutions. \n\n\n\n\n 
URL:https://pages.vassar.edu/mathstats/event/lava-rachel-wagner-kaiser-vc-10/
LOCATION:Rockefeller Hall 200
CATEGORIES:DSS,LAVA
ORGANIZER;CN="Ming An":MAILTO:mian@vassar.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240409T173000
DTEND;TZID=America/New_York:20240409T183000
DTSTAMP:20260508T231036
CREATED:20240404T172243Z
LAST-MODIFIED:20240408T005157Z
UID:562-1712683800-1712687400@pages.vassar.edu
SUMMARY:(DSS Event) Lens Media Lab\, Yale University
DESCRIPTION:Data Science & Society (DSS) Event with the Yale University Lens Media Lab on Tuesday April 9 with Thomas Schmickl\, University of Graz\, Austria\, on Monday April 8 (multiple times; see below). \nPlease join us at 5:30PM\, Tuesday\, April 9 in Taylor Hall Room 102. Paul Messier\, Kappy Mintie\, and Damon Crockett from the Lens Media Lab at Yale University will participate in a panel titled \n“Characterizing Twentieth-Century Photographic Papers: A Multidisciplinary Approach.” \nThe panel will describe how the Paperbase project was conceived\, the interdisciplinary work required to develop it\, and how it can be used by scholars interested in the history of photography. Each of the panelists\, who come from different disciplinary backgrounds\, will also describe how they came to work at the Lens Media Lab and how their specialized knowledge contributed to the production of Paperbase. \nThe panel will be followed by a hands-on demonstration of some of the Lens Media Lab’s data collection tools at 6:30 PM in the Taylor Hall Jade Room. \nVassar students have the chance to meet with the panelists to discuss data science\, art\, and photography\, among other topics\, between 12PM and 2PM on April 9 in College Center 240. Food will be provided. Students are directed to sign up at this link. \nThis event is sponsored by Vassar’s Data Science and Society initiative\, the Department of Art\, and the Frances Lehman Loeb Art Center. \n \n 
URL:https://pages.vassar.edu/mathstats/event/dss-event-lens-media-lab-yale-university/
LOCATION:Taylor Hall
CATEGORIES:DSS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240408T170000
DTEND;TZID=America/New_York:20240408T180000
DTSTAMP:20260508T231036
CREATED:20240404T171805Z
LAST-MODIFIED:20240408T004629Z
UID:560-1712595600-1712599200@pages.vassar.edu
SUMMARY:(DSS Colloquium) Thomas Schmickl\, University of Graz\, Austria
DESCRIPTION:Data Science & Society (DSS) Colloquium Talk with Thomas Schmickl\, University of Graz\, Austria\, on Monday April 8 at 5PM in Rocky 300.  \nTitle: Can Robots Save Nature? \nAbstract: Our planet is on the brink of the 6th mass extinction\, as our ecosystems are rapidly losing both\ndiversity and biomass. As intra- and inter-specific interaction networks weaken\, ecosystems\nbecome increasingly unstable\, setting off on a downward trajectory along a deadly spiral. I\nexplore how robotic systems can play a crucial role in supporting ecosystems and communities.\nI will show three levels of agency and how a “tech for good” approach might be helpful to\nfight ecosystem decay: monitoring\, intervention and restoration. By mitigating ecosystem\ndecay\, robots may buy us precious time to address the root causes of environmental crises. I\nwill show innovative systems that we’ve developed over recent years — the initial strides toward going beyond mere animal-interaction systems by establishing eco-effective robotics. \nPoster Link: https://pages.vassar.edu/dss/files/2024/03/Schmickl.presentation.8April2024.pdf
URL:https://pages.vassar.edu/mathstats/event/dss-colloquium-thomas-schmickl-university-of-graz-austria/
LOCATION:Rockefeller Hall 300
CATEGORIES:DSS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20240207T170000
DTEND;TZID=America/New_York:20240207T180000
DTSTAMP:20260508T231036
CREATED:20240205T191543Z
LAST-MODIFIED:20240206T174810Z
UID:487-1707325200-1707328800@pages.vassar.edu
SUMMARY:(DSS Colloquium) Brenden Lake\, New York University
DESCRIPTION:Data Science & Society (DSS) Colloquium Talk with Brenden Lake\, Assistant Professor of Psychology and Data Science at New York University\, on Wednesday February 7 at 5PM in Rocky 300.   \nTitle: Addressing two classic debates in cognitive science with deep learning \nAbstract: How can advances in machine learning advance our understanding of human development? In this talk\, I’ll use deep neural networks to address two classic debates: (1) How much language is learnable from sensory input? Using head-mounted video recordings from a single child\, we show how deep neural networks can acquire many word-referent mappings\, generalize to novel visual referents\, and achieve multi-modal alignment. (2) Can neural networks capture human-like systematic generalization? We address a 35-year-old argument that neural networks are not viable cognitive models because they lack systematic compositionality—the algebraic ability to understand and produce novel combinations from known components. Neural networks can achieve human-like systematic generalization when trained through meta-learning for compositionality\, a new method for optimizing compositional skills through practice. These findings emphasize the power of neural networks and their increasing capability for addressing long standing issues in cognitive science.
URL:https://pages.vassar.edu/mathstats/event/dss-colloquium-brenden-lake-new-york-university/
LOCATION:Rockefeller Hall 300
CATEGORIES:DSS
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20231110T170000
DTEND;TZID=America/New_York:20231110T180000
DTSTAMP:20260508T231036
CREATED:20230928T014008Z
LAST-MODIFIED:20231109T012745Z
UID:239-1699635600-1699639200@pages.vassar.edu
SUMMARY:(DSS Colloquium) Rob Williams\, Bayer Crop Science
DESCRIPTION:Data Science & Society (DSS) Colloquium Talk\nRob Williams\, Data Scientist Remote Sensing at Bayer Crop Science\nFriday November 10\, 2023 at 5PM\nNew England 206 \nTitle: Data Science for Plants \nFor the full DSS Colloquium Series Schedule\, visit: https://pages.vassar.edu/dss/colloquium-series-schedule/
URL:https://pages.vassar.edu/mathstats/event/dss-colloquium-rob-williams-bayer-crop-science/
CATEGORIES:DSS
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