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<NewsItem contentIssues="false" id="153589" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153589">
<Title>UMBC undergrads invited to participate in study on reliance on AI for writing</Title>
<Body>
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    <p><a href="https://www.linkedin.com/in/shahin-hossain-82a02599/" rel="nofollow external" class="bo">Shahin Hossain</a>, a PhD student in Language, Literacy, and Culture, is conducting a research study on how undergraduate students use generative AI tools, such as ChatGPT, and the impact on their writing. The goal is to better understand how these advanced technologies are changing writing practices and behavior.</p>
    <p>Current UMBC undergraduate students who have used AI technologies for academic purposes in their writing are invited to complete an online survey, which should take no more than 10 minutes.</p>
    <p>Students can get more information and access the survey <a href="https://my3.my.umbc.edu/groups/cahss/posts/153558" rel="nofollow external" class="bo">here</a>.</p>
    </div>
]]>
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<Summary>Shahin Hossain, a PhD student in Language, Literacy, and Culture, is conducting a research study on how undergraduate students use generative AI tools, such as ChatGPT, and the impact on their...</Summary>
<Website>https://my3.my.umbc.edu/groups/cahss/posts/153558</Website>
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<Tag>ai</Tag>
<Tag>generative-ai</Tag>
<Tag>llm</Tag>
<Tag>survey</Tag>
<Tag>writing</Tag>
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<PostedAt>Wed, 15 Oct 2025 11:01:58 -0400</PostedAt>
<EditAt>Wed, 15 Oct 2025 11:05:11 -0400</EditAt>
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<NewsItem contentIssues="false" id="153555" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153555">
<Title>Short course: AI for Statistical Analysis</Title>
<Tagline>2:00-5:00pm EDT Friday, Oct. 31, 2025, Math/Psych 104</Tagline>
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    <p>Dr. <a href="https://reetamm.com/" rel="nofollow external" class="bo">Reetam Majumder</a> from the University of Arkansas will lead a three-hour short course on AI for statistical analysis from 2:00 to 5:00 pm on Friday, October 31, 2025, in room 104 of UMBC's Math &amp; Psychology building. The course will provide a hands-on introduction to deep learning models using the <a href="https://keras.io/" rel="nofollow external" class="bo">Keras</a> package in <a href="https://en.wikipedia.org/wiki/R_(programming_language)" rel="nofollow external" class="bo">R</a>.</p>
    <h4>
    <strong>Register </strong><a href="https://docs.google.com/forms/d/e/1FAIpQLSfnmZACusd7MbsJlWZsOfpoiQcYMmBC6NOCZ4nLIZXSl5PmDQ/viewform?usp=header" rel="nofollow external" class="bo"><strong>here</strong></a><strong> by October 24.</strong>
    </h4>
    <p><a href="https://en.wikipedia.org/wiki/Deep_learning" rel="nofollow external" class="bo">Deep learning</a> is the cornerstone of all current AI models. While they have historically been used extensively in supervised and unsupervised learning problems, deep learning is also seeing increased adoption for statistical inference associated with complex/intractable models, massive datasets, or both. The short course will provide a hands-on introduction to deep learning models using the keras package in R.</p>
    <p>The course aims to familiarize statisticians with the entire pipeline for analyzing data, including software setup, data preprocessing, and some common neural network architectures used in predictive modeling for different data types like tables, images, and time series. Participants will also be introduced to deep learning approaches for density estimation and parameter estimation in statistical problems, and an overview of the current state-of-the-science. </p>
    <p>The hands-on sections will be demonstrated on <a href="https://colab.google/" rel="nofollow external" class="bo">Google Colab</a>, and participants will be able to follow along on their own personal devices. Course materials, including code, data, slides, and resources for installing the Keras and <a href="https://en.wikipedia.org/wiki/Torch_(machine_learning)" rel="nofollow external" class="bo">Torch</a> deep learning libraries on R, will be made available on GitHub.</p>
    <div><br></div>
    </div>
]]>
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<Summary>Dr. Reetam Majumder from the University of Arkansas will lead a three-hour short course on AI for statistical analysis from 2:00 to 5:00 pm on Friday, October 31, 2025, in room 104 of UMBC's Math...</Summary>
<Website>https://docs.google.com/forms/d/e/1FAIpQLSfnmZACusd7MbsJlWZsOfpoiQcYMmBC6NOCZ4nLIZXSl5PmDQ/viewform</Website>
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<PostedAt>Tue, 14 Oct 2025 13:54:01 -0400</PostedAt>
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<NewsItem contentIssues="false" id="153544" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153544">
<Title>AI as Your Design Sidekick workshop</Title>
<Tagline>5:30-7:30pm on Thursday, October 23, 2025, UMBC IRC</Tagline>
<Body>
<![CDATA[
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    <p><strong>AI as Your Design Sidekick</strong> is a free, hands-on, interdisciplinary workshop for founders, designers, and programmers interested in applying AI tools effectively and responsibly. It will be held 5:30-7:30pm on Thursday, October 23, 2025, in the UMBC <a href="https://irc.umbc.edu/" rel="nofollow external" class="bo">Imaging Research Center</a>. </p>
    <p>Sponsored by <a href="https://bwtech.umbc.edu/" rel="nofollow external" class="bo">bwtech@UMBC</a> and the <a href="https://umbc.edu/artsplus/" rel="nofollow external" class="bo">UMBC Arts+ Initiative</a>, the event invites students and researchers from all disciplines to explore how AI can enhance innovation, from startup development to web design and technical workflows. The event will include </p>
    <ul>
    <li><p><strong>DIY methods</strong> for improving your website and content workflows with AI</p></li>
    <li><p><strong>SEO and marketing optimization</strong> strategies using AI</p></li>
    <li><p><strong>Ethical and creative integration</strong> of AI across design and tech pipelines</p></li>
    <li><p><strong>Live demos, free resources, and discussion</strong> on how to stay competitive while keeping human creativity at the center.</p></li>
    <li><p><strong>Free food</strong>, <strong>a raffle for a year of ChatGPT Plus, and a paid internship opportunity.</strong></p></li>
    </ul>
    <h4>Register <a href="https://docs.google.com/forms/d/e/1FAIpQLSf645JqabbNws8fCs8roAhkG3JJqC0k-I2pJj0YNCUZlRcsoA/viewform" rel="nofollow external" class="bo">here</a>.</h4>
    </div>
]]>
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<Summary>AI as Your Design Sidekick is a free, hands-on, interdisciplinary workshop for founders, designers, and programmers interested in applying AI tools effectively and responsibly. It will be held...</Summary>
<Website>https://docs.google.com/forms/d/e/1FAIpQLSf645JqabbNws8fCs8roAhkG3JJqC0k-I2pJj0YNCUZlRcsoA/viewform</Website>
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<Sponsor>betech@umbc and the UMBC Arts+ Initiative</Sponsor>
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<PostedAt>Tue, 14 Oct 2025 11:49:17 -0400</PostedAt>
<EditAt>Tue, 14 Oct 2025 12:35:39 -0400</EditAt>
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<NewsItem contentIssues="false" id="153497" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153497">
<Title>Beyond the Hype: Embedding Ethics in AI Policy for Libraries &amp; Higher Ed, 10/15</Title>
<Tagline>12-1pm EDT Wednesday, October 15, 2025, online</Tagline>
<Body>
<![CDATA[
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    <div>
    <a href="https://www.law.georgetown.edu/tech-institute/people/our-team/nina-simone-edwards/" rel="nofollow external" class="bo"><strong>Nina-Simone Edwards</strong></a> from the Georgetown University Institute for Technology Law and Policy will address ethical issues in AI policy for libraries and higher education in an online session at 12-1pm EDT on Wednesday, October 15.</div>
    <div><br></div>
    <div>
    <div>As AI tools are rapidly integrated into library and higher education systems, conversations often focus on functionality over ethics. This presentation zooms out from tool-specific uses to examine the deeper legal, ethical, privacy, and policy implications of AI in academic and library settings. Drawing on current examples and institutional trends, it explores what's often missing: genuine privacy protections and ethical design embedded from the start. From vendor contracts to algorithmic bias, this session highlights the risks of uncritical adoption and the need to move beyond performative ethics. Attendees will leave better equipped to challenge the AI status quo and advocate for thoughtful, user-centered implementation that protects the core values of education and librarianship.</div>
    <div><br></div>
    <h4>
    <a href="https://my3.my.umbc.edu/groups/library/events/144145" rel="nofollow external" class="bo"><strong>Register here</strong></a> </h4>
    
    <hr>
    <a href="https://umbc.webex.com/recordingservice/sites/umbc/recording/40895e5d1d1344849f346c5286dca139/playback" rel="nofollow external" class="bo">Session recording</a>, <a href="https://docs.google.com/presentation/d/1ct3fn1SFIPGQ76FoiSbLyM4E6GWaaxKy/edit?slide=id.p1#slide=id.p1" rel="nofollow external" class="bo">slides</a>
    </div>
    <div><br></div>
    <div><br></div>
    </div>
]]>
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<Summary>Nina-Simone Edwards from the Georgetown University Institute for Technology Law and Policy will address ethical issues in AI policy for libraries and higher education in an online session at...</Summary>
<Website>https://my3.my.umbc.edu/groups/library/events/144145</Website>
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<Sponsor>UMBC AOK Library</Sponsor>
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<PostedAt>Mon, 13 Oct 2025 11:13:35 -0400</PostedAt>
<EditAt>Tue, 21 Oct 2025 18:55:57 -0400</EditAt>
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<NewsItem contentIssues="false" id="153488" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153488">
<Title>Generative AI in Teaching II: Applied Skills and Use Cases</Title>
<Tagline>12-1 pm EDT Monday, October 13, 2025 online via WebEx</Tagline>
<Body>
<![CDATA[
    <div class="html-content">
    <div>Building on <a href="https://my3.my.umbc.edu/groups/umbc-ai/posts/153251" rel="nofollow external" class="bo">Gen AI &amp; Teaching I,</a> this online Webex interactive session led by UMBC professor <a href="https://saph.umbc.edu/ftfaculty/person/cv56922/" rel="nofollow external" class="bo">John Schumacher</a> highlights applied skills and practical use cases. Faculty will practice effective prompting, explore discipline-specific scenarios, and consider assignment design strategies. Examples will touch on advanced features (custom GPTs/GEMs, Canvas Mode, Deep Research Mode, agent mode) related to teaching.</div>
    <div><br></div>
    <p><strong>Reserve a seat and get the WebEx llnk by registering</strong> <a href="https://my3.my.umbc.edu/groups/calt/events/146815" rel="nofollow external" class="bo">here</a>.</p>
    <p>This second session builds on Dr. Shumacher's first session.  Slides and a video of that session are available <a href="https://my3.my.umbc.edu/groups/umbc-ai/posts/153251" rel="nofollow external" class="bo">here</a>.</p>
    <div>
    <div><br></div>
    <div><br></div>
    <div><br></div>
    </div>
    </div>
]]>
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<Summary>Building on Gen AI &amp; Teaching I, this online Webex interactive session led by UMBC professor John Schumacher highlights applied skills and practical use cases. Faculty will practice effective...</Summary>
<Website>https://my3.my.umbc.edu/groups/calt/events/146815</Website>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Sun, 12 Oct 2025 19:03:53 -0400</PostedAt>
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<NewsItem contentIssues="false" id="153483" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153483">
<Title>Teaching Circle: Active Learning and In-class Assessment in the Age of AI</Title>
<Tagline>12-1 pm Monday, Oct. 27, 2025, 409 Sondheim Hall</Tagline>
<Body>
<![CDATA[
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    <p>UMBC's <a href="https://mathstat.umbc.edu/" rel="nofollow external" class="bo"><strong>Department of Mathematics and Statistics</strong></a> will hold a teaching circle series on "Active Learning and In-class Assessment in the Age of AI", moderated by Professor <a href="https://manilsuri.umbc.edu/" rel="nofollow external" class="bo"><strong>Manil Suri</strong></a>. The sessions will explore the pedagogical pitfalls and possibilities that new AI systems have opened up, with a focus on Math 200 and 300 level undergraduate courses.</p>
    <p>The first session will be held 12-1pm on Monday, October 27, in 409 Sondheim Hall, with subsequent sessions on <a href="https://my3.my.umbc.edu/groups/mathweb/events/147182" rel="nofollow external" class="bo"><strong>November 10</strong></a> and <a href="https://my3.my.umbc.edu/groups/mathweb/events/147183" rel="nofollow external" class="bo"><strong>December 8</strong></a>. Participants are encouraged to share their own AI-related classroom experiences at the first meeting.</p>
    <p>Get more information and register for the October session <a href="https://my3.my.umbc.edu/groups/mathweb/events/147181" rel="nofollow external" class="bo"><strong>here</strong></a>.</p>
    <div><br></div>
    </div>
]]>
</Body>
<Summary>UMBC's Department of Mathematics and Statistics will hold a teaching circle series on "Active Learning and In-class Assessment in the Age of AI", moderated by Professor Manil Suri. The sessions...</Summary>
<Website>https://my3.my.umbc.edu/groups/mathweb/events/147181</Website>
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<Tag>ai</Tag>
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<Tag>mathematics</Tag>
<Tag>statistics</Tag>
<Tag>teaching</Tag>
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<Group token="umbc-ai">UMBC AI</Group>
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<Sponsor>UMBC Department of Mathematics and Statistics</Sponsor>
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<PostedAt>Sat, 11 Oct 2025 11:37:40 -0400</PostedAt>
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<NewsItem contentIssues="false" id="153469" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153469">
<Title>Eric Stokan receives USM professorship to promote AI equity for students and faculty</Title>
<Body>
<![CDATA[
    <div class="html-content">UMBC Professor <a href="https://www.ericjstokan.com/" rel="nofollow external" class="bo">Eric Stokan</a>, director of the <a href="https://socialscience.umbc.edu/" rel="nofollow external" class="bo">Center for Social Science Scholarship</a>, has been awarded the <a href="https://umbc.edu/stories/eric-stokan-usm-professorship-ai-access/" rel="nofollow external" class="bo">Elkins Professorship for Academic Transformation</a> to address the significant barrier that prevents many in the social sciences from using powerful tools like AI and open-source software. Although these technologies have revolutionary potential, they often require advanced skills or expensive software, limiting their impact. <div><br></div>
    <div>Stokan's work, supported by the University System of Maryland award, aims to bridge this gap by creating scalable, modular training in computational social science and generative AI, making the tools more accessible for faculty and students in teaching, research, and public impact projects.</div>
    <div><br></div>
    <div>The funding also supports the design and implementation of <a href="https://my3.my.umbc.edu/groups/csss/posts/151756" rel="nofollow external" class="bo">five hands-on training modules and workshops</a> tailored for faculty, students, and community organizations. Participants will learn to use generative AI systems like ChatGPT with simple programs written in <a href="https://en.wikipedia.org/wiki/R_(programming_language)" rel="nofollow external" class="bo">R</a>. The goal is to help them answer novel and important research questions, develop marketable technical skills, work more effectively with data, and better communicate the results of their analyses with the broader community.<br><div><br></div>
    <div>Read more about Professor Stokan's work and award in this <a href="https://umbc.edu/stories/eric-stokan-usm-professorship-ai-access/" rel="nofollow external" class="bo">UMBC News article</a>.</div>
    </div>
    </div>
]]>
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<Summary>UMBC Professor Eric Stokan, director of the Center for Social Science Scholarship, has been awarded the Elkins Professorship for Academic Transformation to address the significant barrier that...</Summary>
<Website>https://umbc.edu/stories/eric-stokan-usm-professorship-ai-access/</Website>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Fri, 10 Oct 2025 12:26:09 -0400</PostedAt>
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<NewsItem contentIssues="false" id="153251" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153251">
<Title>Part I of UMBC FDC Introduction to Generative AI in Teaching Series</Title>
<Tagline>12-1PM ET Monday, October 6, online</Tagline>
<Body>
<![CDATA[
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    <div>This first session of the FDC series on AI and teaching introduces the basics of generative AI and its implications for teaching and learning. It focuses on AI literacy by examining what these tools are, what they can and cannot do, basic prompting, ethical and responsible use, and how they may impact classroom practice. Faculty will see short demos of ChatGPT, Gemini, Perplexity and have time for Q&amp;A.</div>
    <div><br></div>
    <p><strong>Get more information and register <a href="https://my3.my.umbc.edu/groups/calt/events/146814" rel="nofollow external" class="bo">here</a>.</strong></p>
    <div>The following resources are available (a UMBC login is required for access.):<ul>
    <li>
    <a href="https://umbc.webex.com/recordingservice/sites/umbc/recording/playback/e65b33631b504123bdf29fc679a1ebb2" rel="nofollow external" class="bo">WebEx recording</a> of the session</li>
    <li>
    <a href="https://drive.google.com/file/d/1cRtUjpUIvOndLGaIhEgQZDtI7JDg-2uj/view?usp=sharing" rel="nofollow external" class="bo">John Schumacher's slides</a> from the program</li>
    <li>
    <a href="https://umbc.box.com/s/rzcobdn5zikhs8e414w1rzifjn5s1c6e" rel="nofollow external" class="bo">Consolidated chat transcript</a> (Box link)</li>
    </ul>
    <div></div>
    </div>
    <div>The FDC is co-sponsoring the series of three workshops facilitated by John Schumacher, Professor of Sociology, Anthropology and Public Health and a USM Generative AI Pedagogy Fellow for 2025-26. Whether you have already begun exploring AI for your teaching and for student learning, are an AI-skeptic, or are somewhere in between, joining Dr. Schumacher and your UMBC colleagues for these hands-on workshops will help you to deepen your understanding of how AI works, some of the ethical concerns of AI-usage, and when and how to use which Gen AI tools.  The second and third sessions are:</div>
    <div><strong><br></strong></div>
    <div>
    <p><a href="https://my3.my.umbc.edu/groups/umbc-ai/posts/153195/a6c/c883f28f6dbc7e828b31441bf7a1dc05/web/link?link=https%3A%2F%2Fmy3.my.umbc.edu%2Fgroups%2Fcalt%2Fevents%2F146815" rel="nofollow external" class="bo">Generative AI in Teaching II:  Applied Skills and Use Cases</a><br>Monday, Oct 13, 12:00-1:00 pm<br>Building on Generative AI in Teaching I, this interactive session highlights applied skills and practical use cases.  Faculty will practice effective prompting, explore discipline-specific scenarios, and consider assignment design strategies.  Examples will touch on advanced features (custom GPTs/GEMs, Canvas Mode, Deep Research Mode, agent mode) related to teaching.</p>
    <p><a href="https://my3.my.umbc.edu/groups/umbc-ai/posts/153195/a6c/b65b574600d033093e4308d1083935ac/web/link?link=https%3A%2F%2Fmy3.my.umbc.edu%2Fgroups%2Fcalt%2Fevents%2F146817" rel="nofollow external" class="bo">I'm Not Teaching with Generative AI, But What Do I Still Need to Know?</a><br>Monday, Oct 27,  12:00-1:00 pm<br>This session highlights what faculty need to know, even if they are not adopting AI in their own teaching. Topics include basic Gen AI literacy, a critical examination of student use of AI tools, equity and access, ethical concerns, credible sources of Gen AI information, and implications for assessment and pedagogy..</p>
    </div>
    </div>
]]>
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<Summary>This first session of the FDC series on AI and teaching introduces the basics of generative AI and its implications for teaching and learning. It focuses on AI literacy by examining what these...</Summary>
<Website>https://my3.my.umbc.edu/groups/calt/events/146814</Website>
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<Group token="umbc-ai">UMBC AI</Group>
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<Sponsor>UMBC Faculty Development Center</Sponsor>
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<ThumbnailAltText>AI and teaching</ThumbnailAltText>
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<PostedAt>Sun, 05 Oct 2025 14:08:18 -0400</PostedAt>
<EditAt>Sun, 12 Oct 2025 18:26:34 -0400</EditAt>
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<NewsItem contentIssues="false" id="153247" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153247">
<Title>AI Innovation: Data Science Students in the Field</Title>
<Tagline>6-7pm EDT, Wednesday Oct 25, 2025</Tagline>
<Body>
<![CDATA[
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    <div>
    <p>Wondering what kind of research opportunities you'll have as a master's student at <a href="https://shadygrove.umbc.edu/" rel="nofollow external" class="bo">UMBC-Shady Grove</a>? Join our students and alumni who will be presenting their research on real life challenges and data science trends:</p>
    <ul>
    <li>AI-Driven Culinary Innovation: Leveraging LLMs to Develop a Chemically Aware Recipe Generation Model - Jennifer Giolitti and Kevin Smith</li>
    <li>Applications of <a href="https://en.wikipedia.org/wiki/Generative_artificial_intelligence" rel="nofollow external" class="bo">Generative A</a>I for Students with Learning Challenges - Feng Li</li>
    </ul>
    <p>During the virtual event, you will also hear about the M.P.S. in Data Science from Program Director Dr. Ali Yousuf and have the chance to ask questions.</p>
    <h3><a href="https://events.blackthorn.io/en/3t1z5Tf7/g/fg7KS5CJ1F/ai-innovation-data-science-students-in-the-field-5a2HVX1YNG9/overview" rel="nofollow external" class="bo">Register here</a></h3>
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    <div><br></div>
    </div></div>
    <div><div><div></div></div></div>
    </div>
]]>
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<Summary>Wondering what kind of research opportunities you'll have as a master's student at UMBC-Shady Grove? Join our students and alumni who will be presenting their research on real life challenges and...</Summary>
<Website>https://events.blackthorn.io/en/3t1z5Tf7/g/fg7KS5CJ1F/ai-innovation-data-science-students-in-the-field-5a2HVX1YNG9/overview</Website>
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<Sponsor>UMBC AI</Sponsor>
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<NewsItem contentIssues="false" id="153200" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153200">
<Title>AI Literacy: Employer Expectations for New College Graduates</Title>
<Tagline>12-1pm EDT, Wednesday, October 8th, online</Tagline>
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    <p>This webinar is the first in the AI in Practice webinar series for the 2025-2026 academic year sponsored by the University of Baltimore, UMBC, and JHU.</p>
    <p><strong>AI Literacy: Employer Expectations for New College Graduates<br></strong>Wednesday, October 8th | 12:00-1:00 PM EDT, online via Zoom</p>
    <p>Register online: <a href="https://bit.ly/AiP-Oct8" rel="nofollow external" class="bo">https://bit.ly/AiP-Oct8</a></p>
    <p>What AI skills do employers actually want from new graduates? Join us as we go beyond the technical basics to explore the real-world competencies that drive hiring decisions today. Our expert panelists, <a href="https://www.linkedin.com/in/vudean/" rel="nofollow external" class="bo">Dean Merritt</a>, Esq. from Mindgrub and <a href="https://www.linkedin.com/in/kobabalola/" rel="nofollow external" class="bo">Karolyn Babalola</a>, PhD from Booz Allen Hamilton (UMBC '03), will share insights on essential AI literacy, ethical considerations, and the gap between classroom learning and workplace application. Perfect for students preparing for the job market, faculty designing curriculum, and career professionals staying ahead of industry trends.</p>
    <h4><a href="https://www.youtube.com/watch?v=POAnSywSisE" rel="nofollow external" class="bo">Webinar video recording</a></h4>
    </div>
]]>
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<Summary>This webinar is the first in the AI in Practice webinar series for the 2025-2026 academic year sponsored by the University of Baltimore, UMBC, and JHU.  AI Literacy: Employer Expectations for New...</Summary>
<Website>https://www.youtube.com/watch?v=POAnSywSisE</Website>
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<Sponsor>UBalt, UMBC, and JHU</Sponsor>
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<PostedAt>Fri, 03 Oct 2025 10:14:06 -0400</PostedAt>
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