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X-WR-CALDESC:Events for Faculty Center
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DTSTART;TZID=America/Chicago:20260428T100000
DTEND;TZID=America/Chicago:20260428T110000
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SUMMARY:Make It Accessible Drop-In / Co-Working Hour (PDF focus)
DESCRIPTION:Join the Digital Accessibility Team for open drop-in hours and dedicated co-working time designed to help faculty and staff improve the accessibility of their digital content in alignment with ADA Title II requirements. Whether you’re writing alt text\, addressing color contrast issues\, or navigating accessibility checkers like Ally\, support is just a question away. You are welcome to stay for the entire time and work alongside your colleagues or drop in with a quick question. Come with your questions and accessibility to-do list\, and let’s make it accessible together! \nCreating an effective learning environment is important to us. To request an accommodation\, please email DigitalAccessibility@utsa.edu one week prior to your scheduled training. \nLog in and Enroll
URL:https://faculty.utsa.edu/events/make-it-accessible-drop-in-co-working-hour-pdf-focus-5/
LOCATION:ONLINE WEBINAR
CATEGORIES:Academic Innovation
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BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260430T120000
DTEND;TZID=America/Chicago:20260430T130000
DTSTAMP:20260404T220311
CREATED:20260123T210256Z
LAST-MODIFIED:20260123T210456Z
UID:12268-1777550400-1777554000@faculty.utsa.edu
SUMMARY:AI in Systematic Reviews & Evidence Synthesis Projects
DESCRIPTION:As artificial intelligence continues to make an impact in academia\, many faculty are wondering how and when it should be incorporated into evidence synthesis projects. This webinar explores the most useful applications of AI in systematic reviews\, how other researchers are integrating AI into their workflows\, how to document AI usage\, and when to avoid it. Best for graduate students and faculty already experienced with evidence synthesis projects. \nRegister for this eventRachel DavisInformation Specialist for Open ScienceRachel is the Information Specialist for Open Science and subject liaison in life and health sciences providing support to UTSA faculty\, students and staff. She is available for research consultations and instruction in these areas. Additionally\, Rachel is happy to assist with advanced literature searching of biomedical databases\, systematic review strategies\, research data management plans\, and EndNote.
URL:https://faculty.utsa.edu/events/ai-in-systematic-reviews-evidence-synthesis-projects/
LOCATION:TX
CATEGORIES:Academic Innovation,College of Business,College of Education & Human Development,College of Engineering,College of Liberal and Fine Arts,College of Sciences,Computer Science,Department of English,Department of History,Honors College,UTSA Libraries,UTSA Office of Research Support,UTSA Research
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DTSTART;TZID=America/Chicago:20260508T140000
DTEND;TZID=America/Chicago:20260508T150000
DTSTAMP:20260404T220311
CREATED:20250829T142610Z
LAST-MODIFIED:20251103T201747Z
UID:11670-1778248800-1778252400@faculty.utsa.edu
SUMMARY:Make it Accessible: Drop-In/Co-Working Hours
DESCRIPTION:Join the Digital Accessibility Team for open drop-in hours and dedicated co-working time designed to help faculty and staff improve the accessibility of their digital content in alignment with ADA Title II requirements. Whether you’re writing alt text\, addressing color contrast issues\, or navigating accessibility checkers like Ally\, support is just a question away. You are welcome to stay for the entire time and work alongside your colleagues or drop in with a quick question. Come with your questions and accessibility to-do list\, and let’s make it accessible together! \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. \nLog In and Enroll
URL:https://faculty.utsa.edu/events/make-it-accessible-drop-in-co-working-hours-10/
LOCATION:ONLINE WEBINAR
CATEGORIES:Academic Innovation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260520T100000
DTEND;TZID=America/Chicago:20260520T110000
DTSTAMP:20260404T220311
CREATED:20250829T143028Z
LAST-MODIFIED:20251103T201617Z
UID:11674-1779271200-1779274800@faculty.utsa.edu
SUMMARY:Make it Accessible: Drop-In/Co-Working Hours
DESCRIPTION:Join the Digital Accessibility Team for open drop-in hours and dedicated co-working time designed to help faculty and staff improve the accessibility of their digital content in alignment with ADA Title II requirements. Whether you’re writing alt text\, addressing color contrast issues\, or navigating accessibility checkers like Ally\, support is just a question away. You are welcome to stay for the entire time and work alongside your colleagues or drop in with a quick question. Come with your questions and accessibility to-do list\, and let’s make it accessible together! \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. \nLog In and Enroll
URL:https://faculty.utsa.edu/events/make-it-accessible-drop-in-co-working-hours-11/
LOCATION:ONLINE WEBINAR
CATEGORIES:Academic Innovation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260526T100000
DTEND;TZID=America/Chicago:20260526T110000
DTSTAMP:20260404T220311
CREATED:20250822T155222Z
LAST-MODIFIED:20260322T014629Z
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SUMMARY:Generative AI Peer Learning Network
DESCRIPTION:Are you curious about how generative AI is transforming higher education? Do you want to be at the forefront of these changes at UT San Antonio? \nJoin the Generative AI Peer Learning Network\, a supportive community dedicated to exploring how these tools can transform teaching and learning. Since its launch in January 2023\, the network has become a central hub for faculty and staff from across campus to explore\, experiment\, and collaborate. \nAs a member\, you’ll have the opportunity to: \n\nDiscover new teaching strategies that responsibly and effectively integrate AI.\nStay ahead of the curve on the latest trends and applications.\nContribute to a growing ecosystem that is shaping the future of learning at our university.\n\nThis is more than just a network\, it’s a space for you to amplify your voice and help guide UT San Antonio’s thoughtful and innovative approach to generative AI. We invite you to join us every last Tuesday of the month and help shape the future. \nLearn more about the Generative AI Peer Learning Network. \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. \nEmail us to join
URL:https://faculty.utsa.edu/events/generative-ai-peer-learning-network-9/
LOCATION:MS 240 and Online
CATEGORIES:Academic Innovation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260630T100000
DTEND;TZID=America/Chicago:20260630T110000
DTSTAMP:20260404T220311
CREATED:20250822T155916Z
LAST-MODIFIED:20260322T015332Z
UID:11625-1782813600-1782817200@faculty.utsa.edu
SUMMARY:Generative AI Peer Learning Network
DESCRIPTION:Are you curious about how generative AI is transforming higher education? Do you want to be at the forefront of these changes at UT San Antonio? \nJoin the Generative AI Peer Learning Network\, a supportive community dedicated to exploring how these tools can transform teaching and learning. Since its launch in January 2023\, the network has become a central hub for faculty and staff from across campus to explore\, experiment\, and collaborate. \nAs a member\, you’ll have the opportunity to: \n\nDiscover new teaching strategies that responsibly and effectively integrate AI.\nStay ahead of the curve on the latest trends and applications.\nContribute to a growing ecosystem that is shaping the future of learning at our university.\n\nThis is more than just a network\, it’s a space for you to amplify your voice and help guide UT San Antonio’s thoughtful and innovative approach to generative AI. We invite you to join us every last Tuesday of the month and help shape the future. \nLearn more about the Generative AI Peer Learning Network. \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. \nEmail us to join
URL:https://faculty.utsa.edu/events/generative-ai-peer-learning-network-10/
LOCATION:MS 240 and Online
CATEGORIES:Academic Innovation
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Chicago:20260728T100000
DTEND;TZID=America/Chicago:20260728T110000
DTSTAMP:20260404T220311
CREATED:20250822T162602Z
LAST-MODIFIED:20260322T014438Z
UID:11627-1785232800-1785236400@faculty.utsa.edu
SUMMARY:Generative AI Peer Learning Network
DESCRIPTION:Are you curious about how generative AI is transforming higher education? Do you want to be at the forefront of these changes at UT San Antonio? \nJoin the Generative AI Peer Learning Network\, a supportive community dedicated to exploring how these tools can transform teaching and learning. Since its launch in January 2023\, the network has become a central hub for faculty and staff from across campus to explore\, experiment\, and collaborate. \nAs a member\, you’ll have the opportunity to: \n\nDiscover new teaching strategies that responsibly and effectively integrate AI.\nStay ahead of the curve on the latest trends and applications.\nContribute to a growing ecosystem that is shaping the future of learning at our university.\n\nThis is more than just a network\, it’s a space for you to amplify your voice and help guide UT San Antonio’s thoughtful and innovative approach to generative AI. We invite you to join us every last Tuesday of the month and help shape the future. \nLearn more about the Generative AI Peer Learning Network. \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. \nEmail us to join
URL:https://faculty.utsa.edu/events/generative-ai-peer-learning-network-11/
LOCATION:MS 240 and Online
CATEGORIES:Academic Innovation
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