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DTSTART;TZID=America/New_York:20260318T160000
DTEND;TZID=America/New_York:20260318T170000
DTSTAMP:20260605T011418
CREATED:20260113T194004Z
LAST-MODIFIED:20260305T150144Z
UID:10000024-1773849600-1773853200@mathstats.uncg.edu
SUMMARY:Helen Barton Lecture: The Math and Politics of Counting People
DESCRIPTION:Professor Moon Duchin\, University of Chicago \n\n\n\nTitle: The Math and Politics of Counting People \n\n\n\nAbstract: The Census is our most fundamental tool for measuring who lives in the United States\, and where. Ever since the founding of the country\, the categories have reflected how Americans think about ourselves\, and the data gets used for everything from funding allocations to political districting. So\, it might be surprising that the most recent Decennial Census included intentional injections of random numbers to noise the data for privacy protection. This was hugely controversial! In this talk\, Moon Duchin will explain some of the history and the impacts of how we enumerate the country. \n\n\n\nMoon Duchin is a Professor of Computer Science and Data Science at the University of Chicago. Her background in pure math centers on geometry\, topology\, groups\, and dynamics; her applied work uses these tools to build algorithms and models to study the mechanisms of democracy. She runs a multidisciplinary lab bringing math and computing into conversation with law\, policy\, and geography. Duchin has served as an expert In numerous voting rights court cases around the country\, and she is the co-editor of the volume Political Geometry. She is also an external faculty member at the Santa Fe Institute\, which is dedicated to the study of complex systems. Duchin is a Fellow of the American Mathematical Society.
URL:https://mathstats.uncg.edu/event/helen-barton-lecture-3/
LOCATION:Petty Science Building Room 150\, 317 College Ave\, Greensboro\, North Carolina\, 27412
CATEGORIES:Helen Barton Lecture Series
ATTACH;FMTTYPE=image/png:https://mathstats.uncg.edu/wp-content/uploads/2026/01/Moon-Duchin.png
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BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260211T160000
DTEND;TZID=America/New_York:20260211T170000
DTSTAMP:20260605T011418
CREATED:20260113T195134Z
LAST-MODIFIED:20260324T190354Z
UID:10000026-1770825600-1770829200@mathstats.uncg.edu
SUMMARY:Helen Barton Lecture: "Real Numerical Algebraic Geometry and Applications"
DESCRIPTION:Professor Jonathan Hauenstein\, University of Notre Dame \n\n\n\nTitle: Real Numerical Algebraic Geometry and Applications \n\n\n\nAbstract: Nonlinear polynomial equations naturally arise throughout mathematics\, science\, and engineering with their solutions describing various phenomena including the motion of a mechanical linkage such as a robotic arm and steady states of a dynamical system arising from a biochemical reaction network. Polynomials are central to some of the deepest mathematics and have been studied for millennia. The advent of modern computers has ushered in a new wave of algorithms for computing solution sets to systems of polynomial equations\, both from an algebraic and geometric perspective. Since the physically-meaningful solutions in most applications are real\, this talk will highlight recent developments for numerical computing and representing real solutions to systems of polynomial equations\, collectively called real numerical algebraic geometry\, along with demonstrating them on several applications in science and engineering. 
URL:https://mathstats.uncg.edu/event/helen-barton-lecture-2/
LOCATION:Petty Science Building Room 150\, 317 College Ave\, Greensboro\, North Carolina\, 27412
CATEGORIES:Helen Barton Lecture Series
ATTACH;FMTTYPE=image/jpeg:https://mathstats.uncg.edu/wp-content/uploads/2025/09/Hauenstein-scaled.jpg
ORGANIZER;CN="UNCG Mathematics & Statistics Department":MAILTO:mathstats@uncg.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20260128T160000
DTEND;TZID=America/New_York:20260128T170000
DTSTAMP:20260605T011418
CREATED:20260113T192339Z
LAST-MODIFIED:20260324T190520Z
UID:10000023-1769616000-1769619600@mathstats.uncg.edu
SUMMARY:Helen Barton Lecture: "Optimal Transport and Topological Data Analysis for single-cell biology"
DESCRIPTION:Professor Zixuan Cang\, North Carolina State University \n\n\n\nTitle: “Optimal Transport and Topological Data Analysis for single-cell biology” \n\n\n\nAbstract: Single-cell and spatial transcriptomics data examines high-throughput gene expression profiles at fine resolutions providing an unprecedented opportunity to elucidate the underlying complex biological processes. Optimal transport and Topological Data Analysis has proven to be an effective tool for exploiting complex structures in high-dimensional data. In this talk\, we will discuss several optimal transport variants motivated by the biological applications\, where there are detailed application-specific constraints\, multiple distribution species\, and multiple embedding spaces of the same system. We will illustrate the applications of these tools for addressing multi-compatible molecular species in cell-cell communication analysis and devising coherent trajectories of the same biological system from multi-omics datasets. We will also discuss some applications of topological data analysis to single-cell data analysis.
URL:https://mathstats.uncg.edu/event/10051/
LOCATION:Petty Science Building Room 150\, 317 College Ave\, Greensboro\, North Carolina\, 27412
CATEGORIES:Helen Barton Lecture Series
ATTACH;FMTTYPE=image/png:https://mathstats.uncg.edu/wp-content/uploads/2026/01/Zixuan-Cang.png
ORGANIZER;CN="UNCG Mathematics & Statistics Department":MAILTO:mathstats@uncg.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250926T160000
DTEND;TZID=America/New_York:20250926T170000
DTSTAMP:20260605T011418
CREATED:20250922T135738Z
LAST-MODIFIED:20250922T135740Z
UID:10000021-1758902400-1758906000@mathstats.uncg.edu
SUMMARY:ANTCoG seminar talk
DESCRIPTION:Our speaker will be Andrew Stout from CUNY. \n\n\n\nTitle: Computations of generalized jet schemes in SINGULAR using the arc.lib library \n\n\n\nAbstract:  \n\n\n\nJet spaces associated to an algebraic variety are important in the area of singularity theory. In this talk\, we will give an introduction to this particular area of algebraic geometry with the goal of offering an accessible introduction to research in this area.  We will discuss how to write down the equations of a jet space and why having the ability to compute these equations directly in a computer algebra system is important in the first place. Then\, we will use the speaker’s new SINGULAR library arc.lib to perform some exploratory calculations. If time permits\, we will also discuss some of the more theoretical results of the speaker related to jet schemes and some open questions amenable to experimental exploration via the arc.lib library.  \n\n\n\n*Support for this project was also provided in-part by a BMCC-CUNY Faculty Development Grant entitled \n\n\n\n“Singularity Theory\, the Rogers-Ramanujan Identities\, and the Cohen-Macaulayness of Jet Schemes.” 
URL:https://mathstats.uncg.edu/event/antcog-seminar-talk-2/
LOCATION:Petty Science Building Room 150\, 317 College Ave\, Greensboro\, North Carolina\, 27412
ORGANIZER;CN="UNCG Mathematics and Statistics Department":MAILTO:mathstats@uncg.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250905T160000
DTEND;TZID=America/New_York:20250905T170000
DTSTAMP:20260605T011418
CREATED:20250903T162807Z
LAST-MODIFIED:20250903T162809Z
UID:10000017-1757088000-1757091600@mathstats.uncg.edu
SUMMARY:ANTCoG seminar talk
DESCRIPTION:There will be an ANTCoG seminar talk on Friday September 5th in Petty 150 at 4pm. Our speaker will be Thomas Weighill from UNCG. \n\n\n\nTitle: How to map data to the circle (or anything else) \n\n\n\nAbstract:  \n\n\n\nA common challenge in data analysis is to reduce a high-dimensional dataset to a low-dimensional approximation that can be visualized. In some recent work with Ranthony Clark and Tom Needham that started life as a redistricting project\, we came up with our own method for mapping data onto a circle that suited our needs. The method ended up performing well in more general contexts as well. I’ll talk about the application we had in mind\, introduce the method\, and show some results. 
URL:https://mathstats.uncg.edu/event/antcog-seminar-talk/
LOCATION:Petty Science Building Room 150\, 317 College Ave\, Greensboro\, North Carolina\, 27412
ORGANIZER;CN="UNCG Mathematics & Statistics Department":MAILTO:mathstats@uncg.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250825T160000
DTEND;TZID=America/New_York:20250825T170000
DTSTAMP:20260605T011418
CREATED:20250825T153300Z
LAST-MODIFIED:20250825T153303Z
UID:10000015-1756137600-1756141200@mathstats.uncg.edu
SUMMARY:ANTCog - Phousawanh Peaungvongpakdy (Washington State University)
DESCRIPTION:Title: Case Studies of Short Burst Optimization for Multiple Redistricting Criteria  \n\n\n\nAbstract:  \n\n\n\nIn complex and non-convex energy landscapes like those that occur in the discrete context of partition sampling for redistricting\, optimal states can be difficult to discover. In 2023 Cannon et al. demonstrated that “short bursts’’\, biased random walks performed in a small number of steps and repeated\, led to significantly better performance than simple biased walks in finding global optima in this redistricting context. In this talk\, we will present case studies applying short bursts to a variety of traditional redistricting criteria. Applying this method on real-world redistricting data allows us to explore tradeoffs between metrics and the corresponding Pareto frontiers. We also present some results about short bursts on simple random walks on labeled graphs.
URL:https://mathstats.uncg.edu/event/antcog-phousawanh-peaungvongpakdy-washington-state-university/
LOCATION:Petty Science Building Room 150\, 317 College Ave\, Greensboro\, North Carolina\, 27412
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250228T160000
DTEND;TZID=America/New_York:20250228T170000
DTSTAMP:20260605T011418
CREATED:20250227T134222Z
LAST-MODIFIED:20250227T134225Z
UID:10000011-1740758400-1740762000@mathstats.uncg.edu
SUMMARY:Ant-cog Seminar
DESCRIPTION:The ANT-CoG (Algebra\, Number theory\, Topology\, Combinatorics\, & Geometry) seminar will meet Friday\, 2/28\, from 4:00-5:00pm in Petty 150. We are pleased to welcome our own Dr. Thomas Weighill for Friday’s talk. \n\n\n\nTitle:  {vectorize\, data?\, unordered\, (continued)\, Can\, you} \n\n\n\nAbstract: In this talk we will continue to examine the question of whether vectorizations which introduce a bounded amount of distortion (i.e. coarse embeddings) exist for certain data types. It turns out that this question is also important in other fields such as geometric group theory and the topology of manifolds. I will touch on some known results about the space of probability distributions and the space of persistence diagrams. I will then present a recent result of my own on spaces of finite samples\, and quotients of spaces by finite group actions. This talk will be a thematic continuation of the previous one\, though it should be understandable even if you missed the first talk.
URL:https://mathstats.uncg.edu/event/ant-cog-seminar/
LOCATION:Petty Science Building Room 150\, 317 College Ave\, Greensboro\, North Carolina\, 27412
ORGANIZER;CN="Michael Hull":MAILTO:MBHULL@uncg.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250221T160000
DTEND;TZID=America/New_York:20250221T170000
DTSTAMP:20260605T011418
CREATED:20250219T143432Z
LAST-MODIFIED:20250219T143435Z
UID:10000007-1740153600-1740157200@mathstats.uncg.edu
SUMMARY:ANT-CoG Seminar Talk
DESCRIPTION:The ANT-CoG (Algebra\, Number theory\, Topology\, Combinatorics\, & Geometry) seminar will meet Friday\, 2/21\, from 4:00-5:00pm in Petty 150. We are pleased to welcome our own Dr. Thomas Weighill for Friday’s talk. \n\n\n\nTitle:  {vectorize\, data?\, unordered\, Can\, you} \n\n\n\nAbstract: We will look at some very theoretical results motivated by the practical problem of visualizing and vectorizing complex datasets like shapes\, samples\, densities\, and even Congressional district maps. We will talk about some general strategies that sometimes work\, and prove at least one impossibility result showing that in some cases no good vectorizations exist. This talk will be designed to be accessible to undergraduate and graduate students.  
URL:https://mathstats.uncg.edu/event/ant-cog-seminar-talk/
LOCATION:Petty Science Building Room 150\, 317 College Ave\, Greensboro\, North Carolina\, 27412
ORGANIZER;CN="Michael Hull":MAILTO:MBHULL@uncg.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20250212T110000
DTEND;TZID=America/New_York:20250212T120000
DTSTAMP:20260605T011418
CREATED:20250207T205326Z
LAST-MODIFIED:20250207T210012Z
UID:10000005-1739358000-1739361600@mathstats.uncg.edu
SUMMARY:Colloquium: "Restoring Confidence in the Value of Mathematics"
DESCRIPTION:with guest speaker Travis Jarvis from Brigham Young University\n\n\n\n\n\nJoin the Department of Mathematics and Statistics for this free colloquium presentation\, open to the public. Located in the Petty Science Building\, Room 150. \n\n\n\nAbstract: Fifteen years ago\, math majors at BYU told us\, “We love math\, but we know it won’t get us a job unless we want to teach.” This feedback motivated us to create the ACME program—a curriculum designed to teach mathematics that is not only deep and beautiful but also practical and in high demand by employers. \n\n\n\nSince its inception 11 years ago\, the ACME program has doubled the number of math majors at BYU. Our graduates command higher starting salaries and gain admission to top graduate programs\, flourishing in both academia and industry. In this lecture\, I will share the challenges we faced in launching ACME\, the factors behind its success\, and the lessons learned along the way.
URL:https://mathstats.uncg.edu/event/colloquium-restoring-confidence-in-the-value-of-mathematics/
LOCATION:Petty Science Building Room 150\, 317 College Ave\, Greensboro\, North Carolina\, 27412
ATTACH;FMTTYPE=image/png:https://mathstats.uncg.edu/wp-content/uploads/2025/02/TravisJarvis.png
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