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DTSTART;TZID=America/Chicago:20240801T100000
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DTSTAMP:20260409T080618
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SUMMARY:
DESCRIPTION:A new exhibit\, “Cultural Bounty: The Beckstead • Lerma • Annala Collection\,” is a showpiece of the UTSA Art Collection. It features 48 artistic pieces from internationally renowned artists such as Andy Warhol and Robert Mapplethorpe and emerging local and Texas artists such as Sara Vanderbeek\, Fernando Andrade\, and UTSA alum Richard Armendariz (’95). The exhibit will run from Thursday\, August 1\, to Saturday\, November 2\, 2024\, at the UTSA Southwest Campus Russell Hill Rogers Galleries. \nCultural Bounty offers visitors a chance to experience a diverse array of powerful artistic expressions. Among the highlights are iconic creations such as “Electric Chair” and “Witch” by Warhol and a single-color photo “Ken Moody\, (Nude with Leaf) by Mapplethorpe. In addition to these illustrious names\, the exhibit will spotlight works created in San Antonio’s vibrant arts community. The exhibit will include works from Texas artists such as Raul Rene Gonzalez’s “O’Banion’s Car Wash” a pen on paper\, Andrade’s stone lithograph “A Jugar La Pinche Guerrita\,” Armendariz’s wood block print “Nocturne Healer I” Abraham Mojica’s “No Regrets” an acrylic on canvas\, painting of the three donors\, “Steve\, Danny\, and Alan.” \nPresented by UTSA Arts in partnership with the UTSA Libraries and the UTSA School of Art. \nRegister for the Opening ReceptionView the exhibit page
URL:https://faculty.utsa.edu/events/cultural-bounty-the-beckstead-lerma-annala-collection/
LOCATION:John L. Santikos Building\, Russell Hill Rogers Galleries\, 1201 Navarro St.\, San Antonio\, TX\, 78205
CATEGORIES:College of Liberal and Fine Arts,UTSA Libraries
ATTACH;FMTTYPE=image/png:https://faculty.utsa.edu/wp-content/uploads/2024/07/exhibit.png
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240927T090000
DTEND;TZID=America/Chicago:20240927T120000
DTSTAMP:20260409T080618
CREATED:20240905T153246Z
LAST-MODIFIED:20240905T153246Z
UID:10416-1727427600-1727438400@faculty.utsa.edu
SUMMARY:WORKSHOP DAY 2- Machine learning fundamentals for socio-demographic researchers. - Texas Research Data Center
DESCRIPTION:Presented By: Michael C. Lotspeich-Yadao\, University of Illinois\, Urbana-ChampaignThe rapid evolution of computational power\, statistical methodologies\, and the proliferation of large datasets have spurred a significant rise in the application of machine learning (ML) techniques in various fields. For population researchers\, integrating data sources such as social media\, mobile phone data\, crowd-sourced information\, and remote sensing imagery with traditional demographic data has opened up new avenues for predicting population trends and enhancing causal inference. \nDespite their potential\, the swift advancement of machine learning methods and the associated specialized terminology can make these techniques challenging to grasp\, particularly for those more accustomed to traditional research methodologies. At its core\, machine learning automates the discovery of patterns and insights from data. This represents a pivotal shift in computer science\, where earlier intelligent systems primarily relied on static algorithms—fixed sets of instructions designed to produce specific outcomes from given inputs. These advancements offer powerful tools for monitoring\, understanding\, and predicting the factors that shape human well-being across different dimensions such as time\, space\, and demographic characteristics\, with applications spanning mortality\, health\, fertility\, social and economic processes\, and sustainable development. \nThis workshop aims to demystify the goals\, methodologies\, and applications of machine learning within the context of population research. Participants will engage in hands-on tutorials\, applying ML methods using R and data from the U.S. Census Bureau. While the course will provide an overview of the theoretical foundations of machine learning\, the primary focus is on practical application\, equipping attendees with the skills to employ these techniques effectively in their research. \nRegister for this eventView more information
URL:https://faculty.utsa.edu/events/workshop-day-2-machine-learning-fundamentals-for-socio-demographic-researchers-texas-research-data-center/
LOCATION:In-Person
CATEGORIES:Research,UTSA Research
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240927T103000
DTEND;TZID=America/Chicago:20240927T120000
DTSTAMP:20260409T080618
CREATED:20240828T163123Z
LAST-MODIFIED:20240911T161615Z
UID:10283-1727433000-1727438400@faculty.utsa.edu
SUMMARY:Navigating Publishing: Selecting a Reputable Publisher and Your Rights as an Author
DESCRIPTION:Does your department or college have a preferred list of journals you should publish? Or are you confused about evaluating the quality of a journal or a book publisher? Join UTSA Libraries for a one-hour workshop giving a broad overview of the current landscape of scholarly publishing\, as well as library services and memberships to help support UTSA authors. \nPresented By: Emily Johnson\, Scholarly Communication Librarian\, Research Engagement & Scholarly Communication\, UTSA Libraries\n FRD_ Navigating Publishing- Selecting a Reputable Publisher \nView the Event FlyerRegister for this eventView more information
URL:https://faculty.utsa.edu/events/navigating-publishing-selecting-a-reputable-publisher-and-your-rights-as-an-author/
LOCATION:Virtual: Zoom
CATEGORIES:Research,UTSA Research
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240927T123000
DTEND;TZID=America/Chicago:20240927T130000
DTSTAMP:20260409T080618
CREATED:20240905T144401Z
LAST-MODIFIED:20240925T142214Z
UID:10370-1727440200-1727442000@faculty.utsa.edu
SUMMARY:Publishing Discounts for UTSA Researchers
DESCRIPTION:Presented By: Emily Johnson\, Scholarly Communication Librarian\, Research Engagement & Scholarly Communication\, UTSA LibrariesJoin UTSA Libraries and Museums to learn more about the publishing discounts available for UTSA researchers. Current agreements include Elsevier\, Cambridge University Press\, Springer Open\, and more. Bring your questions and feedback for the library as we continue to pursue partnerships with publishers to reduce costs for our researchers. \nRegister for this eventView more information
URL:https://faculty.utsa.edu/events/10370/
LOCATION:Virtual: Zoom
CATEGORIES:UTSA Libraries
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240927T140000
DTEND;TZID=America/Chicago:20240927T150000
DTSTAMP:20260409T080618
CREATED:20240904T134513Z
LAST-MODIFIED:20240904T134513Z
UID:10338-1727445600-1727449200@faculty.utsa.edu
SUMMARY:SECLA RIG Meeting
DESCRIPTION:Fall 2024 monthly meeting of the UTSA SECLA RIG.\nView more information
URL:https://faculty.utsa.edu/events/secla-rig-meeting-5/
LOCATION:Faculty Center Small Conference Room JPL 4.04.12D & Virtual: TEAMS
CATEGORIES:Research,UTSA Research
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240927T140000
DTEND;TZID=America/Chicago:20240927T150000
DTSTAMP:20260409T080618
CREATED:20240905T153500Z
LAST-MODIFIED:20240905T153500Z
UID:10418-1727445600-1727449200@faculty.utsa.edu
SUMMARY:WORKSHOP DAY 2- Machine learning fundamentals for socio-demographic researchers. - Texas Research Data Center
DESCRIPTION:Presented By: Michael C. Lotspeich-Yadao\, University of Illinois\, Urbana-ChampaignThe rapid evolution of computational power\, statistical methodologies\, and the proliferation of large datasets have spurred a significant rise in the application of machine learning (ML) techniques in various fields. For population researchers\, integrating data sources such as social media\, mobile phone data\, crowd-sourced information\, and remote sensing imagery with traditional demographic data has opened up new avenues for predicting population trends and enhancing causal inference. \nDespite their potential\, the swift advancement of machine learning methods and the associated specialized terminology can make these techniques challenging to grasp\, particularly for those more accustomed to traditional research methodologies. At its core\, machine learning automates the discovery of patterns and insights from data. This represents a pivotal shift in computer science\, where earlier intelligent systems primarily relied on static algorithms—fixed sets of instructions designed to produce specific outcomes from given inputs. These advancements offer powerful tools for monitoring\, understanding\, and predicting the factors that shape human well-being across different dimensions such as time\, space\, and demographic characteristics\, with applications spanning mortality\, health\, fertility\, social and economic processes\, and sustainable development. \nThis workshop aims to demystify the goals\, methodologies\, and applications of machine learning within the context of population research. Participants will engage in hands-on tutorials\, applying ML methods using R and data from the U.S. Census Bureau. While the course will provide an overview of the theoretical foundations of machine learning\, the primary focus is on practical application\, equipping attendees with the skills to employ these techniques effectively in their research. \nRegister for this eventView more information
URL:https://faculty.utsa.edu/events/workshop-day-2-machine-learning-fundamentals-for-socio-demographic-researchers-texas-research-data-center-2/
LOCATION:In-Person
CATEGORIES:Research,UTSA Libraries
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