All events

For more information visit https://www.hartfordcounty4hfair.org/ (https://www.hartfordcounty4hfair.org/) 

For more information visit https://www.hartfordcounty4hfair.org/ (https://www.hartfordcounty4hfair.org/) 

The exhibiting artists are Marsha Borden, Helena Chastel, Kathryn Frund, Phoebe Godfrey, Hugh MacDonald, Bob Pavlik, Dan Potter, and R. Douglass Rice. Open Air 2025 is open daily and will remain on view through October 6, 2025. June 19, 2025 iis the last day to visit indoor art exhibitions. Exhibitions inside the AVS Gallery will resume on September 11, 2025

The UConn Claude D. Pepper Older Americans Independence Center (i.e., UConn Pepper Center), plans to submit an application for competitive renewal to the National Institute on Aging at NIH. At this time, the UConn Pepper Center Pilot/Exploratory Studies Core (PESC) seeks letters of intent (LOIs) for studies to be included in the application. Studies selected for inclusion in the application will be funded contingent upon continued funding of the UConn Pepper Center. We are seeking Letters of Intent (LOIs) for 1-year pilot and exploratory studies that focus on enhancing function and independence in older adults while also advancing knowledge in the UConn Pepper Center theme of Precision Gerontology, and that will support future grant applications. We welcome a variety of research approaches, ranging from biological to clinical/behavioral to health services/community-based research. Projects focusing on cognition and behavior, host defense and immunity, voiding and continence, and mobility and falls are of particular interest. For proposed studies involving human subjects research, secondary data analysis-based projects are encouraged. Projects involving primary data collection are allowed but must be sufficiently feasible to complete within 1 year. LOIs are due by September 10, 2025 Full-time UConn and JAX faculty are eligible to apply for PESC funding. Priority will be given to junior faculty/early-stage investigators as well as established investigators pursuing aging-related research (relevant to Precision Gerontology) as a new area of research. Investigators may request up to $50,000 (direct costs) for a 1-year pilot project. Those interested in submitting an LOI are strongly encouraged to contact the PESC Co-Leaders Dr. Lisa Barry (libarry@uchc.edu) Dr. Blanka Rogina (rogina@uchc.edu) and to visit the UConn Pepper Center website to learn more about the theme of Precision Gerontology and the UConn Pepper Center Research Resource Cores. https://health.uconn.edu/pepper-center/ Those seeking to apply for UConn PESC funding must submit the following by September 10, 2025: 1. A 1-page Letter of Intent (LOI) that includes:Brief description of the Specific Aims, Significance, and Approach; Statement as to how the proposed study aligns with the UConn Pepper Center theme of Precision Gerontology; Statement of how the proposed study will utilize applicable UConn Pepper Center Research Resource Cores. 2. On a separate page, a brief budget and timeline 3. NIH Biosketch for Principal Investigator. Please send LOIs to Ms. Laura Masi (masi@uchc.edu) Individuals selected to submit full proposals will be notified by the PESC Co-Leaders.

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

Introduction to Artificial Intelligence as a Business Differentiator Focus on how Agile methods and AI converge to drive innovation and competitive advantage. Explore how generative AI and other advanced AI tools are revolutionizing business models. Understand how agile practices accelerate AI integration to enhance product development and service delivery. Learn ways to leverage technology to create unique value propositions that set your organization apart. Technology Leadership for the AI Era: Strategies for Business Growth Develop leadership strategies that pivot from traditional project management to product-focused execution. Learn approaches to shift from project-based to product-based models for sustained innovation. Master techniques to identify and optimize the flow of value across digital processes. Discover strategies to enhance operational efficiency and drive continuous digital transformation. Customer Journey and AI-Driven Technology Alignment Align technology investments with customer needs using AI-driven insights to ensure products and services resonate in the market. Utilize machine learning and predictive analytics to analyze customer interactions across digital touchpoints, identifying trends and optimizing engagement strategies. Leverage natural language processing (NLP) and recommendation algorithms to deliver hyper-personalized experiences that adapt to customer behavior in real-time. Use generative AI and automation to refine product and service lifecycle strategies, ensuring continuous alignment with evolving customer needs and market demands. Team Dynamics and Value Streams to Enable Growth Explore best practices for structuring teams and designing digital infrastructures that support strategic goals by aligning team structures with value stream identification. Apply principles to design team structures that align with value streams, minimizing dependencies and maximizing value delivery. Use AI-driven analytics and process mining to identify inefficiencies in value streams, ensuring technology teams are working on the highest-impact initiatives that drive business value. Why Attend? This workshop is an opportunity to gain a holistic understanding of how technology can be harnessed to transform business strategies and operational practices. By integrating Agile methodologies with the latest in AI innovations, you will learn not only to lead digital transformations but also to optimize processes and structure teams for maximum impact. If you are committed to driving change in your organization and staying ahead in the digital age, this workshop will equip you with the strategic insights and practical tools necessary to excel. Register with the link below.

Compare 3 different AI tools to support design of teaching materials. Discuss ethics, including copyright, privacy, accuracy, and bias. Evaluate examples of AI-generated teaching materials. Register – https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3526 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3526)

In April 2024, the Department of Justice issued an update to Title II of the Americans with Disabilities Act (https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ada.gov%2Fresources%2F2024-03-08-web-rule%2F&data=05%7C02%7Citaccessibility%40uconn.edu%7C20c771e5a88d478a8e9308dd66f63f7d%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C638779929987281013%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=L%2Bz6mRTbBflpXOJe9W3QB7cZ9xNsKm4I%2B5%2FLQclhc5c%3D&reserved=0) which requires state and local governments – including public universities – to ensure that their digital content is accessible to people with disabilities. These changes will impact many in our community, and we want to share information and resources that will help everyone prepare and comply with the new standards.What is Impacted? Any digital content that we provide or make available on behalf of the University of Connecticut must meet the standards set forth by this ruling, whether this content is provided directly by us or via third-party organization as part of a contract, licensing, or other agreement. This includes websites, digital files, social media content, and mobile applications.DeadlinesWebpages & ApplicationsCreated on or after April 2024 must be accessible at launch. Created before April 2024 need to be accessible by April 2026. Digital FilesCreated on or after April 2024 need to be accessible at launch. Created before April 2024 and still in use need to be accessible by April 2026. Created before April 2024 and not in use can be marked as archived and do not need to be remediated unless someone requests it. Technical Standard The Web Content Accessibility Guidelines (WCAG) Version 2.1, Level AA (https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.w3.org%2FWAI%2Fstandards-guidelines%2Fwcag%2F&data=05%7C02%7Citaccessibility%40uconn.edu%7C20c771e5a88d478a8e9308dd66f63f7d%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C638779929987301355%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=GtBfaBbRmzVFT4Jwcx%2B5gcH9Ej1haYILGDt9MSwHiCk%3D&reserved=0) are the current technical standard for web content and mobile apps. Please note that UConn also has web standards (https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbrand.uconn.edu%2Fweb&data=05%7C02%7Citaccessibility%40uconn.edu%7C20c771e5a88d478a8e9308dd66f63f7d%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C638779929987315699%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=IA0Va6a06XjzRJ8LZXG5PMuWZiM0%2FeMIREYo4qO3Mhs%3D&reserved=0) which must be adhered to. We require websites built on behalf of the University and/or using University funds to use a UConn domain and be hosted by UConn. While we know that our faculty and staff support efforts to provide accessible content and equitable experiences, performing this work and maintaining the standards going forward will be an ongoing, shared responsibility.

Describe three AI literacy frameworks; Apply AI literacy concepts to design your courses; Select AI models and tools for your courses; Draft an AI policy statement for your syllabus; Develop a strategy for talking to students about AIAugust 15, 12:00-1:00Register – https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=352 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=352)

Speaker: Pedro Mendes Title: "CatPred: a comprehensive framework for deep learning in vitro enzyme kinetic parameters"https://doi.org/10.1038/s41467-025-57215-9 (https://doi.org/10.1038/s41467-025-57215-9) Via Webex: https://uconnhealth.webex.com/uconnhealth/j.php?MTID=mdacf393cf6a2ee5314a3b76525ea5e57 (https://uconnhealth.webex.com/uconnhealth/j.php?MTID=mdacf393cf6a2ee5314a3b76525ea5e57)

For the full class schedule, descriptions, and to register, please visit the UConn Recreation website (https://recreation.uconn.edu/group-fitness-schedule/).

Audience: faculty; undergrad program director; anyone involved in program or Common Curriculum assessment activities Level: Introductory Learning objectives: By the end of this session, participants will be able to: 1. Explain how Bb EAC can aid in data gathering for program or Common Curriculum assessment activities 2. Describe how to align assessments in HuskyCT with program learning objectives 3. Describe reporting options available through Bb EAC Description Blackboard Education Assessment Corporation EAC (Bb EAC) Visual Data is an assessment and reporting tool integrated with HuskyCT. The software can pull data from assessments administered in HuskyCT and provide statistical reporting information. Instructors can leverage data on student performance to advance student learning. Academic programs can use aggregated data for assessment reports. This introduction to Bb EAC will touch on how to align assessments to program learning objectives, use aggregated data for assessment reports, and perform juried review. Register - https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3577 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3577)

VoiceThread: Video Discussion Board and Engagement Tool August 15, 1:00-2:00 Online Presenter: Jordan Vinikoor VoiceThread is a powerful HuskyCT integrated tool for transforming media into an asynchronous conversation space. Both instructors and students can create media projects in a slide-show style format, record commentary (voice, webcam or text), and share with others for commenting or discussion. Register ?? https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3553 (https://fins.uconn.edu/secure_inst/workshops/workshop_view.php?ser=3553)