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X-WR-CALDESC:Events for Faculty Center
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DTSTART:20240310T080000
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240913T090000
DTEND;TZID=America/Chicago:20240913T160000
DTSTAMP:20261003T065635
CREATED:20240812T172129Z
LAST-MODIFIED:20240812T172129Z
UID:10121-1726218000-1726243200@faculty.utsa.edu
SUMMARY:Generation AI Summit
DESCRIPTION: Registration Required before August 30\, 2024.   \nPlease join us for the GenerationAI Summit at The University of Texas at San Antonio (UTSA).  \nUTSA Research is honored that our campus will host the “2024 GenerationAI Summit” in April 2024 under the ORAU Innovation Partnerships Program.  \nThe GenerationAI Summit was developed by the GenerationAI Consortium\, a joint initiative between MITRE and UTSA\, that aims to broaden the participation of other ORAU member institutions in the GenerationAI Consortium\, fostering collaborative efforts to advance AI education across diverse academic disciplines.  \nThe GenerationAI Summit will serve as a dynamic platform to showcase the success and impact of GenerationAI in reaching over 10\,000 students since its inception in 2018. The summit will allow AI experts to share artificial intelligence practices\, tools\, and community. GenerationAI faculty will demonstrate their custom-designed GenerationAI lessons and participants can learn how to incorporate AI\, big data analytics\, and data visualization lessons into their courses.  \nEveryone is invited—across disciplines\, across industry\, across the country.  \nThe second annual summit is made possible by the Oak Ridge Associated Universities (ORAU) Innovation Partnerships Program.GenAI Summit Invite \nView the Event FlyerRegister for this eventView more information
URL:https://faculty.utsa.edu/events/generation-ai-summit/
LOCATION:John Peace Library | Assembly Room | 4.04.22
CATEGORIES:Research,UTSA Research
ORGANIZER;CN="UTSA Research":MAILTO:research@utsa.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240920T110000
DTEND;TZID=America/Chicago:20240920T140000
DTSTAMP:20261003T065635
CREATED:20240823T144841Z
LAST-MODIFIED:20240823T155556Z
UID:10230-1726830000-1726840800@faculty.utsa.edu
SUMMARY:Introduction to the LabArchives Electronic Lab Notebook
DESCRIPTION:Presented By: Gloria Yarandi\, MS\, Enterprise Success Specialist\, LabArchives \n The LabArchives Electronic?Lab Notebook (ELN) helps researchers manage the results of research efforts\, record and document research processes and procedures\, and manage digital research data in ways that increase reproducibility\, efficiency\, collaboration\, searchability\, and security. LabArchives and their notebook software interface is securely accessible via the internet from anywhere in the world using a web browser on any device. The University of Texas San Antonio has purchased an enterprise license for LabArchives ELN that allows all UTSA researchers (faculty and students) to utilize LabArchives to manage their research data at no cost.   \n  \nIntroduction to the LabArchives Electronic Lab Notebook   \n  \nJoin us for this 60-minute session to learn more about the advantages of utilizing the LabArchives Electronic Lab Notebook and how it can easily be integrated into your research workflow. We will cover how you can add and manage your data\, notebook access controls\, collaboration tools\, and export options. Also highlighted will be key integration partners\, including GraphPad Prism\, SnapGene\, REDCap\, and Microsoft Office.  \n  \nLabArchives Electronic Lab Notebook \nView the Event FlyerRegister for this eventView more information
URL:https://faculty.utsa.edu/events/introduction-to-the-labarchives-electronic-lab-notebook/
LOCATION:John Peace Library | Assembly Room | 4.04.22
CATEGORIES:Research,UTSA Research
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240920T120000
DTEND;TZID=America/Chicago:20240920T130000
DTSTAMP:20261003T065635
CREATED:20240905T152410Z
LAST-MODIFIED:20240905T152410Z
UID:10406-1726833600-1726837200@faculty.utsa.edu
SUMMARY:TXRDC Informational Session - Texas Research Data Center
DESCRIPTION:Presented By: Mary Campbell\, Texas A&M University & Karin Johnson\, US Census BureauWe will discuss restricted-access demographic\, economic\, and business data\, what the TXRDC is and how we provide access to restricted data\, and how to apply for access restricted federal statistical data. \nRegister for this eventView more information
URL:https://faculty.utsa.edu/events/txrdc-informational-session-texas-research-data-center/
LOCATION:In-Person & Virtual
CATEGORIES:Research,UTSA Research
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240923T133000
DTEND;TZID=America/Chicago:20240923T150000
DTSTAMP:20261003T065635
CREATED:20240828T161617Z
LAST-MODIFIED:20240911T161220Z
UID:10279-1727098200-1727103600@faculty.utsa.edu
SUMMARY:Social Scientists: How to Compete for Social Science Research at NSF\, NIH\, and Foundations
DESCRIPTION:Workshop for social scientists on how to identify and understand which programs within NSF and NIH fund social sciences\, what reviewers are typically looking for\, and common mistakes to avoid. The webinar will also cover how to identify private foundations that may be interested in funding your social science research. \nPresented By: Lucy Deckard\, Academic Research Funding Strategies\n FRD_ Compete for Social Science Research \nView the Event FlyerRegister for this eventView more information
URL:https://faculty.utsa.edu/events/social-scientists-how-to-compete-for-social-science-research-at-nsf-nih-and-foundations/
LOCATION:Virtual: Zoom
CATEGORIES:Research,UTSA Research
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240924T090000
DTEND;TZID=America/Chicago:20240924T120000
DTSTAMP:20261003T065635
CREATED:20240917T182132Z
LAST-MODIFIED:20240917T182132Z
UID:10466-1727168400-1727179200@faculty.utsa.edu
SUMMARY:Coffee with the Cores
DESCRIPTION:Join the UTSA Cores for coffee while discovering the core facilities and resources available to UTSA Research students\, faculty\, and research partners. \nYou will unlock a world of services tailored to enhance your research experience through one-on-one conversations with directors and a guided tour of facilities. \nor more information\, contact: Ana Stevanovic\, KAMC Core Director\, Ana.Stevanovic@utsa.edu \nCoffee with the Cores flyer \nView the Event FlyerRegister for this eventView more information
URL:https://faculty.utsa.edu/events/coffee-with-the-cores/
LOCATION:Biotechnology Sciences and Engineering Building | 1st Floor\, Atrium
CATEGORIES:Research,UTSA Research
ORGANIZER;CN="UTSA Research":MAILTO:research@utsa.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240925T130000
DTEND;TZID=America/Chicago:20240925T140000
DTSTAMP:20261003T065635
CREATED:20240904T134730Z
LAST-MODIFIED:20240904T134730Z
UID:10340-1727269200-1727272800@faculty.utsa.edu
SUMMARY:Climate RIG Meeting
DESCRIPTION:Fall 2024 monthly meeting of the UTSA Climate RIG.\nView more information
URL:https://faculty.utsa.edu/events/climate-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:20240926T103000
DTEND;TZID=America/Chicago:20240926T123000
DTSTAMP:20261003T065635
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240926T120000
DTEND;TZID=America/Chicago:20240926T130000
DTSTAMP:20261003T065635
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:20261003T065635
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240926T140000
DTEND;TZID=America/Chicago:20240926T150000
DTSTAMP:20261003T065635
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240927T090000
DTEND;TZID=America/Chicago:20240927T120000
DTSTAMP:20261003T065635
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
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240927T103000
DTEND;TZID=America/Chicago:20240927T120000
DTSTAMP:20261003T065635
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:20240927T140000
DTEND;TZID=America/Chicago:20240927T150000
DTSTAMP:20261003T065635
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:20261003T065635
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
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20240930
DTEND;VALUE=DATE:20241005
DTSTAMP:20261003T065635
CREATED:20240923T181932Z
LAST-MODIFIED:20240923T183544Z
UID:10496-1727654400-1728086399@faculty.utsa.edu
SUMMARY:Faculty Appreciation Week 2024
DESCRIPTION:We’re excited to announce the return of our annual Faculty Appreciation Week running September 30 – October 4\, 2024. Coordinated by UTSA Faculty Success in partnership with colleges and faculty support offices across the university\, appreciation events for and about faculty are taking place at the Main Campus and Downton Campus that we hope you’ll attend. \nView more information
URL:https://faculty.utsa.edu/events/faculty-appreciation-week-2024/
CATEGORIES:Academic Innovation,Academy of Distinguished Teaching Scholars,Faculty Success,Research,UTSA Academic Affairs,UTSA Research
ATTACH;FMTTYPE=image/png:https://faculty.utsa.edu/wp-content/uploads/2022/09/Screen-Shot-2022-09-27-at-2.13.09-PM.png
ORGANIZER;CN="UTSA Faculty Success":MAILTO:FacultySuccess@utsa.edu
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20240930T160000
DTEND;TZID=America/Chicago:20240930T170000
DTSTAMP:20261003T065635
CREATED:20240904T134108Z
LAST-MODIFIED:20240904T134108Z
UID:10336-1727712000-1727715600@faculty.utsa.edu
SUMMARY:QISE RIG Meeting
DESCRIPTION:Fall 2024 monthly meeting of the UTSA QISE RIG.\nView more information
URL:https://faculty.utsa.edu/events/qise-rig-meeting-5/
LOCATION:Faculty Center Small Conference Room JPL 4.04.12D & Virtual: TEAMS
CATEGORIES:Research,UTSA Research
END:VEVENT
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