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X-WR-CALDESC:Events for Faculty Center
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DTSTART:20240310T080000
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DTSTART:20241103T070000
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DTSTART;TZID=America/Chicago:20240801T100000
DTEND;TZID=America/Chicago:20241102T160000
DTSTAMP:20260413T072034
CREATED:20240723T161735Z
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UID:10071-1722506400-1730563200@faculty.utsa.edu
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:20240926T103000
DTEND;TZID=America/Chicago:20240926T123000
DTSTAMP:20260413T072034
CREATED:20240828T162220Z
LAST-MODIFIED:20240911T161501Z
UID:10281-1727346600-1727353800@faculty.utsa.edu
SUMMARY:Pursuing Funding in the Humanities and Humanitistic Social Sciences
DESCRIPTION:Online workshop on the types of funding available to support research in the humanities and humanities-related social sciences and how to compete for them. The webinar focuses on how to compete for grants from the NEH\, NEA\, and private foundations\, and grants to travel to collections and libraries. \nPresented By: Lucy Deckard\, Academic Research Funding Strategies\n FRD_ Pursuing Funding in the Humanities and Humanitistic Social Sciences \nView the Event FlyerRegister for this eventView more information
URL:https://faculty.utsa.edu/events/pursuing-funding-in-the-humanities-and-humanitistic-social-sciences-2/
LOCATION:Virtual: Zoom
CATEGORIES:Research,UTSA Research
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240926T120000
DTEND;TZID=America/Chicago:20240926T130000
DTSTAMP:20260413T072034
CREATED:20240905T152702Z
LAST-MODIFIED:20240905T152702Z
UID:10410-1727352000-1727355600@faculty.utsa.edu
SUMMARY:SEMINAR - Using machine learning to generate neighborhood definitions: The application of hierarchical clustering and commuting zones at the Census Tract level. - Texas Research Data Center
DESCRIPTION:Presented By: Michael C. Lotspeich-Yadao\, University of Illinois\, Urbana-ChampaignVariation in the definitions of spatial units substantially impacts the validation of causal relationships between individual and ecological contexts. Acknowledging this significant influence of neighborhood definition on research outcomes\, our study seeks to introduce a scalable methodological innovation by synthesizing Tolbert and Killian’s (1987) proportional flow methodology with Kwan’s (2012a; 2012b; 2018) lessons in defining neighborhoods. Our new solution\, providing scalable Census tract-level ‘Commuting Zones’\, allows researchers to account for the scale of spatial units and their internal and inter-unit mobility patterns. \nCommuting zones are based on the daily travel between where people live and work. Our methodology uses this information\, derived from the public LEHD-LODES data\, to define neighborhood areas based on strong commuting patterns. This approach has the potential to yield a more accurate and meaningful understanding of human behavior and health outcomes\, calibrated to the realities of lived experiences rather than constrained by arbitrary administrative boundaries. Both researchers (interested in the neighborhood effect) and practitioners (interested in program and service delivery) can benefit from clearer approximations. \nRegister for this eventView more information
URL:https://faculty.utsa.edu/events/seminar-using-machine-learning-to-generate-neighborhood-definitions-the-application-of-hierarchical-clustering-and-commuting-zones-at-the-census-tract-level-texas-research-data-center/
LOCATION:In-Person
CATEGORIES:Research,UTSA Research
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240926T130000
DTEND;TZID=America/Chicago:20240926T140000
DTSTAMP:20260413T072034
CREATED:20240530T184624Z
LAST-MODIFIED:20240530T191220Z
UID:9985-1727355600-1727359200@faculty.utsa.edu
SUMMARY:Teaching and Learning with Generative Artificial Intelligence Informative Sessions
DESCRIPTION:Join our informative sessions on teaching and learning with generative AI\, where you can bring your questions and engage in dynamic discussions. Explore a tour of our self-paced online course designed to explore generative AI in education. Discover spotlight strategies to effectively engage students and integrate generative AI into your teaching practices. \nBy attending this course\, participants will be able to: \n• Understand Generative AI Applications: Participants will be able to explain the principles of generative AI and identify its applications in an educational setting.• Implement Engaging Strategies: Participants will learn and apply strategies to effectively engage students using generative AI tools in their teaching practices.• Navigate Online Resources: Participants will become proficient in navigating and utilizing the self-paced online course to enhance their knowledge and teaching methods involving generative AI. \nCreating an effective learning environment for all is important to us. To request an accommodation\, please email DigitalAccessibility@utsa.edu one week prior to your scheduled training. \nLogin and Enroll
URL:https://faculty.utsa.edu/events/teaching-and-learning-with-generative-artificial-intelligence-informative-sessions-2/
LOCATION:MS 240 and Online
CATEGORIES:Academic Innovation
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240926T130000
DTEND;TZID=America/Chicago:20240926T140000
DTSTAMP:20260413T072034
CREATED:20240904T133846Z
LAST-MODIFIED:20240904T133846Z
UID:10334-1727355600-1727359200@faculty.utsa.edu
SUMMARY:Community Solutions RIG Meeting
DESCRIPTION:Fall 2024 monthly meeting of the UTSA Community Solutions RIG.\nView more information
URL:https://faculty.utsa.edu/events/community-solutions-rig-meeting-6/
LOCATION:Virtual: TEAMS
CATEGORIES:Research,UTSA Research
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240926T140000
DTEND;TZID=America/Chicago:20240926T150000
DTSTAMP:20260413T072034
CREATED:20240905T152924Z
LAST-MODIFIED:20240905T152924Z
UID:10414-1727359200-1727362800@faculty.utsa.edu
SUMMARY:WORKSHOP DAY 1- 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-1-machine-learning-fundamentals-for-socio-demographic-researchers-texas-research-data-center/
LOCATION:In-Person
CATEGORIES:Research,UTSA Research
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