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<NewsItem contentIssues="false" id="153828" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153828">
<Title>Talk 10/29: Building Trustworthy LLM Agents for Academia through Structured, Interpretable Knowledge Retrieval and Source Attribution</Title>
<Tagline>Manas Gaur and Yash Saxena, 2-1 pm EDT Wed., Oct. 29, online</Tagline>
<Body>
<![CDATA[
    <div class="html-content">UMBC Professor <a href="https://manasgaur.github.io/" rel="nofollow external" class="bo"><strong>Manas Gaur</strong></a> and Ph.D. student <strong><a href="https://www.linkedin.com/in/yash-saxena-a18b251bb/" rel="nofollow external" class="bo"><strong>Yash Saxena</strong></a> </strong>talk online on <strong>Building Trustworthy LLM Agents for Academia through Structured, Interpretable Knowledge Retrieval and Source Attribution</strong>, 12-1 PM EDT on Wednesday, October 29.<div><br></div>
    <div>Ensuring the trustworthiness of language model outputs is essential for their adoption in academic research. This work presents a <a href="https://en.wikipedia.org/wiki/Retrieval-augmented_generation" rel="nofollow external" class="bo">retrieval-augmented</a> LLM agent designed to generate verifiable responses with sentence-level source attribution. The system employs a structured two-stage retrieval approach. In the first stage, lightweight neural modules adapt both query and document representations to improve alignment and enhance the quality of initial retrieval.</div>
    <div><br></div>
    <div>The second stage applies an advanced selection method to refine and finalize the evidence set. This pipeline is interpretable and attribution-aware, allowing users to trace each sentence in the generated output back to its supporting source. By combining structured retrieval with fine-grained attribution, the proposed architecture enables generation that is fluent, contextually accurate, and grounded in verifiable evidence. This design aligns with the rigorous standards required for scholarly communication.</div>
    <div><br></div>
    <h4>Session <a href="https://umbc.webex.com/recordingservice/sites/umbc/recording/2d95e582c98f4a518708f6e480c94f48/playback" rel="nofollow external" class="bo"><strong>recording</strong></a> and <a href="https://docs.google.com/presentation/d/1IIcsNmLuNmNbPGr3rk1bFJ-Llq7A-VsW/edit?usp=sharing&amp;ouid=113110094810317774015&amp;rtpof=true&amp;sd=true" rel="nofollow external" class="bo"><strong>slides</strong></a>
    </h4>
    <div><br></div>
    <p><a href="https://my3.my.umbc.edu/groups/library/events/144147" rel="nofollow external" class="bo"><strong>Register and/or join event here</strong></a></p>
    </div>
]]>
</Body>
<Summary>UMBC Professor Manas Gaur and Ph.D. student Yash Saxena talk online on Building Trustworthy LLM Agents for Academia through Structured, Interpretable Knowledge Retrieval and Source Attribution,...</Summary>
<Website>https://my3.my.umbc.edu/groups/library/events/144147</Website>
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<Tag>agent</Tag>
<Tag>llm</Tag>
<Tag>rag</Tag>
<Tag>trust</Tag>
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<Sponsor>UMBC AOK Library</Sponsor>
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<PostedAt>Thu, 23 Oct 2025 09:05:37 -0400</PostedAt>
<EditAt>Mon, 03 Nov 2025 12:15:30 -0500</EditAt>
</NewsItem>

<NewsItem contentIssues="false" id="153799" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153799">
<Title>AI in Graduate &amp; Postdoctoral Research: Leveraging Gemini, 10/24</Title>
<Tagline>Online session with Dr. Anupam Joshi, 2:30-3:30 Fri. Oct 24</Tagline>
<Body>
<![CDATA[
    <div class="html-content">
    <p>Dr. <a href="https://umbc.edu/stories/joshi-named-vice-provost-chief-ai-officer-at-umbc/" rel="nofollow external" class="bo"><strong>Anupam Josh</strong></a><strong>i</strong>, UMBC's Vice Provost and Chief AI Officer, will lead an interactive session to help graduate students and postdocs see how they can enhance their scholarly work with Google's <a href="https://gemini.google/about/" rel="nofollow external" class="bo"><strong>Gemini</strong></a><strong>  </strong>systems. The session will give participants a chance to engage with the Gemini platform, experiment, and get help in overcoming obstacles to see what it can do.</p>
    <p>Initial post had the wrong link.</p>
    <h4>Members of the UMBC community can register for the event <a href="https://my3.my.umbc.edu/groups/gspd/events/146875" rel="nofollow external" class="bo"><strong>here</strong></a>. </h4>
    </div>
]]>
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<Summary>Dr. Anupam Joshi, UMBC's Vice Provost and Chief AI Officer, will lead an interactive session to help graduate students and postdocs see how they can enhance their scholarly work with Google's...</Summary>
<Website>https://my3.my.umbc.edu/groups/meyerhoffgrad/events/146875/join_meeting</Website>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Wed, 22 Oct 2025 10:57:06 -0400</PostedAt>
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<NewsItem contentIssues="false" id="153732" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153732">
<Title>Participate in an online research study of how users interact with an AI chatbot</Title>
<Body>
<![CDATA[
    <div class="html-content">
    <div><div><div><div><div><div><div><div><div><div><div>
    <div>
    <p>We are conducting a research study to explore how users interact with AI. Use an AI chatbot to answer 3 quiz questions! <strong>Here is the study link: </strong><a href="https://llm-frontend-9fnt.onrender.com/signup" rel="nofollow external" class="bo"><strong>https://llm-frontend-9fnt.onrender.com/signup</strong></a></p>
    <p><strong>Who can participate? </strong>You must be</p>
    <ol>
    <li><p>18 years or older </p></li>
    <li><p>Fluent in English</p></li>
    <li><p>Able to access to a laptop or desktop computer and a stable internet connection</p></li>
    <li><p>Have a basic understanding of how to use an AI Chatbot (e.g., ChatGPT).</p></li>
    </ol>
    <p><strong>What will I do?</strong> </p>
    <p>This task will be completed remotely online and will take 20 minutes or less. You will use an LLM chatbot called Aletheia to answer three on-screen questions and complete a brief survey about your experience.</p>
    <p><strong>What will I get?</strong> </p>
    <p>You will be entered into a raffle for a $50 Amazon gift card. </p>
    <p>If you would like to learn more or have any questions, please contact </p>
    <p>Chielota Uma at <a href="mailto:cuma1@umbc.edu" rel="nofollow external" class="bo">cuma1@umbc.edu</a> or  Dr. Shimei Pan at  <a href="mailto:shimei@umbc.edu" rel="nofollow external" class="bo">shimei@umbc.edu</a></p>
    <p>Thank you for considering helping us with our research! Your time is greatly appreciated.</p>
    </div>
    <div><br></div>
    </div></div></div></div></div></div></div></div></div></div></div>
    <div><div></div></div>
    </div>
]]>
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<Summary>We are conducting a research study to explore how users interact with AI. Use an AI chatbot to answer 3 quiz questions! Here is the study link: https://llm-frontend-9fnt.onrender.com/signup  Who...</Summary>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Mon, 20 Oct 2025 16:40:20 -0400</PostedAt>
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<NewsItem contentIssues="false" id="153683" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153683">
<Title>Talk: Making Sense of Data with AI: Lowering Barriers, Expanding Who Participates</Title>
<Tagline>12-1pm EDT, Wednesday, October 22, online</Tagline>
<Body>
<![CDATA[
    <div class="html-content">As part of UMBC's AOK Library series of <a href="https://my3.my.umbc.edu/groups/library/posts/151504" rel="nofollow external" class="bo">AI Symposia</a>, <a href="https://jenposada.com/" rel="nofollow external" class="bo">Jennifer Posada</a> will hold an online session via Webex on <span>making sense of data with AI</span><span> from 12-1 pm EDT on Wednesday, October 22.</span><div>
    <br><span><div><div><div>
    <div>Generative AI tools like Chat GPT have shifted who gets to participate in data analysis and how. Opportunities exist for large language models (LLMs) to support tasks like code writing for data cleaning and exploration. This has potential to make it easier to engage with data, particularly for those that lack formal technical skills or have limited technical support. In this talk, Jennifer reflects on how LLMs have changed her own workflow by streamlining analysis and lowering barriers to iterating and exploring. She also poses questions around who gets to be considered a data analyst now, and what skills or literacies may matter most.</div>
    <div><br></div>
    <div>
    <a href="https://jenposada.com/" rel="nofollow external" class="bo">Jennifer Posada</a> is a UMBC PhD student working with professor <a href="https://flourish.umbc.edu/karen-chen/" rel="nofollow external" class="bo">Lujie Karen Chen</a> in the <a href="https://flourish.umbc.edu/" rel="nofollow external" class="bo">Lab for Informatics for Human Flourishing</a>. Her research is focused on  Automation and AI for Personal Informatics Data storytelling.</div>
    <div><br></div>
    <h4>Sign up for the online event <a href="https://my3.my.umbc.edu/groups/library/events/144146" rel="nofollow external" class="bo">here</a>
    </h4>
    <div><br></div>
    <h4>
    <a href="https://umbc.webex.com/recordingservice/sites/umbc/recording/4f925369031b4a1a93c80435d3b368f0/playback" rel="nofollow external" class="bo">Video recording</a> of session</h4>
    </div></div></div></span>
    </div>
    </div>
]]>
</Body>
<Summary>As part of UMBC's AOK Library series of AI Symposia, Jennifer Posada will hold an online session via Webex on making sense of data with AI from 12-1 pm EDT on Wednesday, October 22....</Summary>
<Website>https://my3.my.umbc.edu/groups/library/events/144146</Website>
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<Sponsor>UMBC AOK Library</Sponsor>
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<ThumbnailAltText>poster of on online session on Making Sense of Data with AI: Lowering Barriers</ThumbnailAltText>
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<PostedAt>Sun, 19 Oct 2025 12:47:26 -0400</PostedAt>
<EditAt>Wed, 29 Oct 2025 11:19:10 -0400</EditAt>
</NewsItem>

<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>
<![CDATA[
    <div class="html-content">
    <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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<ThumbnailAltText>survey on how undergraduate students use generative AI tools for academic writing</ThumbnailAltText>
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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="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[
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    <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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<Tag>agent</Tag>
<Tag>ai</Tag>
<Tag>canvas-mode</Tag>
<Tag>deep-research-mode</Tag>
<Tag>gehai</Tag>
<Tag>gem</Tag>
<Tag>gpts</Tag>
<Tag>llm</Tag>
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<PostedAt>Sun, 12 Oct 2025 19:03:53 -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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<Tag>social-science</Tag>
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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="153403" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153403">
<Title>Talk: Towards Multilingual Evaluations of Knowledge for LLMs</Title>
<Tagline>2-3pm EDT Tue., Oct. 14, 2025, ITE 325b, UMBC</Tagline>
<Body>
<![CDATA[
    <div class="html-content">
    <h5>Language Technology Seminar Series (LaTeSS)</h5>
    <h4>Towards Multilingual Evaluations of Knowledge for Large Language Models</h4>
    <h5>Bryan Li, University of Pennsylvania<br>2-3pm Tue., Oct. 14, 2025, ITE 325b, UMBC</h5>
    <div>Contemporary language models (LMs) support dozens of languages, promising to broaden information access for global users. However, existing multilingual evaluations largely study factual recall tasks, failing to address knowledge-intensive tasks shaped by the uneven coverage and different perspectives of knowledge across languages. This dissertation investigates how LMs handle such tasks by examining their internal parametric knowledge and their use of externally-provided contextual knowledge. In the first part, I introduce benchmarks for complex reasoning and territorial disputes, and find that LM responses on both tasks exhibit a lack of cross-lingual robustness, outputting inconsistent answers to underlying queries written in different languages. I then show that lightweight methods of leveraging program code and persona-based prompting can mitigate these issues.</div>
    <div><br></div>
    <div>In the second part, I explore the retrieval-augmented generation (RAG) setting, which combines LM's internal parametric knowledge with contextual knowledge from external knowledge bases (KBs). Focusing on the territorial disputes task, I show that while RAG over single-language or single-source KBs has mixed effects on robustness, retrieving over multilingual and multi-source KBs — Wikipedia, as well as a large-scale dataset of state media articles I collected — substantially boosts robustness. Together, these findings highlight the need for LMs that can navigate, and assist users in navigating, the real-world distribution of knowledge across languages and sources. This is a practice dissertation talk, and your feedback would be greatly appreciated!</div>
    <div><br></div>
    <div>
    <a href="https://manestay.github.io/" rel="nofollow external" class="bo"><strong>Bryan Li </strong></a>is a final-year PhD student at the University of Pennsylvania, advised by Prof. Chris Callison-Burch. His research focuses on multilingual evaluations of LLMs, spanning both the fields of natural language processing and computational social science. His work has appeared in conferences such as ACL, COLM, and ICLR. Outside of research, you can find him in a trendy cafe, a river-side running trail, or at home listening to a good podcast.</div>
    </div>
]]>
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<Summary>Language Technology Seminar Series (LaTeSS)  Towards Multilingual Evaluations of Knowledge for Large Language Models  Bryan Li, University of Pennsylvania 2-3pm Tue., Oct. 14, 2025, ITE 325b, UMBC...</Summary>
<Website>https://laramartin.net/LaTeSS</Website>
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<Tag>language-model</Tag>
<Tag>llm</Tag>
<Tag>multilingual</Tag>
<Tag>nlp</Tag>
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<Sponsor>UMBC Language, Aid, and Representation AI Lab</Sponsor>
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<NewsItem contentIssues="false" id="153195" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153195">
<Title>UMBC Faculty Development Center: Introduction to Generative AI in Teaching Webinar Series</Title>
<Tagline>Three sessions: 12-1pm Mondays, Oct. 6, 13, &amp; 27, online</Tagline>
<Body>
<![CDATA[
    <div class="html-content">UMBC's Faculty Development Center will host a series of three webinars for UMBC faculty on teaching and generative AI systems from 12:00-1:00 p.m. on October 6, 13, and 27. For more information, please follow the links below.  Faculty can register for any of them by clicking on the <em>Going Virtually</em> link on the event's web page.<div><br></div>
    <div>
    <p><a href="https://my3.my.umbc.edu/groups/calt/events/146814" rel="nofollow external" class="bo"><strong>Generative AI in Teaching I:  Literacy and Foundations</strong></a><br><span>Monday, Oct 6,  12:00-1:00 pm </span></p>
    <p>This session 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 &amp; responsible use, and how they may impact classroom practice.  Faculty will see short demos of ChatGPT, Gemini, Perplexity, and have space for Q&amp;A.  </p>
    <div>
    <p><a href="https://my3.my.umbc.edu/groups/calt/events/146815" rel="nofollow external" class="bo"><strong>Generative AI in Teaching II:  Applied Skills and Use Cases</strong></a><br><span>Monday, Oct 13, 12:00-1:00 pm</span></p>
    <p><span>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.</span></p>
    <p><a href="https://my3.my.umbc.edu/groups/calt/events/146817" rel="nofollow external" class="bo"><strong>I'm Not Teaching with Generative AI, But What Do I Still Need to Know?</strong></a><br>Monday, Oct 27,  12:00-1:00 pm</p>
    <p></p>
    <p>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>
    </div>
]]>
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<Summary>UMBC's Faculty Development Center will host a series of three webinars for UMBC faculty on teaching and generative AI systems from 12:00-1:00 p.m. on October 6, 13, and 27. For more information,...</Summary>
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<Tag>ai</Tag>
<Tag>generative-ai</Tag>
<Tag>llm</Tag>
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<Sponsor>UMBC Faculty Development Center</Sponsor>
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<PostedAt>Thu, 02 Oct 2025 21:47:10 -0400</PostedAt>
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<NewsItem contentIssues="false" id="153192" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/153192">
<Title>Introduction to R and the Basics of LLMs and Generative AI</Title>
<Tagline>12-1:30pm EDT, Friday October 3, 2025 in PUP 451</Tagline>
<Body>
<![CDATA[
    <div class="html-content">UMBC's Center for Social Science Scholarship kicks off its Fall workshop series on generative AI, LLMs, and computational social science methods with <a href="https://www.ericjstokan.com/" rel="nofollow external" class="bo">Eric Stokan</a>'s session on computing in R and how to use generative AI/LLMs in social science research workflows. The session will cover:<div>
    <ul>
    <li>How to install and set up <a href="https://en.wikipedia.org/wiki/R_(programming_language)" rel="nofollow external" class="bo">R</a> and <a href="https://en.wikipedia.org/wiki/RStudio" rel="nofollow external" class="bo">RStudio</a>
    </li>
    <li>R fundamentals: objects, vectors, data frames, scripts, packages (<a href="https://en.wikipedia.org/wiki/Tidyverse" rel="nofollow external" class="bo">tidyverse</a>)</li>
    <li>R Markdown/Quarto: document structure, code chunks, rendering to HTML/PDF</li>
    <li>LLMs 101: what they are, common research use cases, and calling them through the R package <a href="https://ellmer.tidyverse.org/" rel="nofollow external" class="bo">ellmer</a>
    </li>
    <li>A checklist for responsible LLM use in research</li>
    </ul>
    <div>The session will be held 12-1:30pm in person in room 451 of the Public Policy Building.</div>
    </div>
    <div><strong><br></strong></div>
    <div>
    <strong>Lunch will be provided for </strong><a href="https://my3.my.umbc.edu/groups/csss/events/146488/a6c/db722cf0ff049717edca46a54588ca86/web/link?link=https%3A%2F%2Fdocs.google.com%2Fforms%2Fd%2Fe%2F1FAIpQLSe3Ak7LlIMsTLTxgyLBg62qtlbbPDQcC6vNFULCQiDZOEkEwQ%2Fviewform%3Fusp%3Dheader" rel="nofollow external" class="bo"><strong>registered</strong></a><strong> attendees only.</strong>
    </div>
    <div><strong><br></strong></div>
    <div><a href="https://my3.my.umbc.edu/groups/csss/events/146488/a6c/db722cf0ff049717edca46a54588ca86/web/link?link=https%3A%2F%2Fdocs.google.com%2Fforms%2Fd%2Fe%2F1FAIpQLSe3Ak7LlIMsTLTxgyLBg62qtlbbPDQcC6vNFULCQiDZOEkEwQ%2Fviewform%3Fusp%3Dheader" rel="nofollow external" class="bo"><strong>Register here</strong></a></div>
    <div><br></div>
    <div><br></div>
    </div>
]]>
</Body>
<Summary>UMBC's Center for Social Science Scholarship kicks off its Fall workshop series on generative AI, LLMs, and computational social science methods with Eric Stokan's session on computing in R and...</Summary>
<Website>https://my3.my.umbc.edu/groups/csss/events/146488</Website>
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<Tag>ai</Tag>
<Tag>ellmer</Tag>
<Tag>genai</Tag>
<Tag>llm</Tag>
<Tag>programming</Tag>
<Tag>r</Tag>
<Group token="umbc-ai">UMBC AI</Group>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Thu, 02 Oct 2025 15:31:32 -0400</PostedAt>
<EditAt>Thu, 02 Oct 2025 15:39:29 -0400</EditAt>
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