This seminar presents a synthesis of research focused on leveraging these data sources for infectious disease prediction, spanning from classical statistical approaches to modern AI architectures.

Key Areas of Discussion:

• Statistical Methodologies: The presentation covers a family of models that combine autoregressive time series structure with penalized regression on Google search data. This includes extensions to spatial-temporal modeling, multi-disease settings, and COVID-19 adaptation.
• AI Architectures: Recent work on attention-based transformer architectures for time series forecasting will be discussed, highlighting methods for multivariate dependency modeling, in-context learning, and efficient linear attention.
• Practical Application: Drawing from ongoing participation in the CDC FluSight forecasting initiative, the session compares the strengths and limitations of both paradigms and shares practical lessons learned from real-time deployment.

The talk aims to offer perspective on when and how statistical rigor and deep learning flexibility each contribute to reliable disease forecasting.

About the Speaker

Dr. Shihao Yang is the Harold E. Smalley Early Career Professor and Assistant Professor in the School of Industrial and Systems Engineering at Georgia Tech. He completed his PhD in statistics and post-doc in Biomedical Informatics at Harvard University. Dr. Yang’s research focuses on data science, with special interest in time series, dynamical systems, and applications in infectious disease transmission forecasting.

Join President Cabrera with Rodney Adkins, former Senior Vice President at IBM, to discuss leadership in technology. 

Location: 
Kendeda Building, 422 Ferst Dr, porch (or if raining, inside lobby)

Developing a community-based perspective on data center development

The Sound of Motion: Transforming Artistic Body Movement into Music for Motor Therapy

Designing Ethical Robot Behaviors for Unforeseen Human-Robot Interactions Using LLMs

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IPaT: GVU Lunch Lecture Series

Presenter: Alex Yang

Seminar Title

 LitForager: Exploring Multimodal Literature Foraging Strategies in Immersive Sensemaking 

Affiliation

IVI Lab (Immersive Visualization & Interaction Lab), School of Interactive Computing (Georgia Tech College of Computing)

Seminar Title

We actively encourage cross-departmental participation and welcome engagement from both internal academic units and external industry partners. Our goal is to foster a robust community of practice around XR at Georgia Tech. 

Participation & Visibility

We actively encourage cross-departmental participation and welcome engagement from both internal academic units and external industry partners. Our goal is to foster a robust community of practice around XR at Georgia Tech. 

Subscribe & Sign Up 

To join our mailing list and RSVP your attendance for these seminar series, please sign up here: RSVP HERE. Lunch will be served for those who RSVP.

PLEASE NOTE SEMINAR IS TUESDAY THE 21st!

Abstract: How should we act under incomplete information? We must integrate over missing values to assess the risk of a downstream decision, or the expected risk reduction from gathering further information.  Applications include NLP annotation, LLM workflows, clinical medicine, experimental design, and many others.  The classical approach to predicting missing values involves fitting some generative model to the incomplete data.  Alas, classical methods are slow and often inaccurate due to local optima, poor mixing, or model misspecification.  We propose a low-fuss, efficient alternative with fewer assumptions: given incomplete data, train a neural network to directly predict masked values. Our generic network architecture resembles BERT: it constructs a representation for each random variable's posterior marginal distribution and iteratively refines it through attention on other random variables and entities.  We find that this posterior marginal Transformer ("Marformer") works much better than EM and almost as well as MCMC even when those methods know the true data generating model, and it outperforms them on naturally occurring data. We outline future methods for adaptive masking and a future design for managing data collection efforts.

Bio: Jason Eisner is Professor of Computer Science at Johns Hopkins University and a Fellow of the Association for Computational Linguistics. At Johns Hopkins, he is also affiliated with the Center for Language and Speech Processing, the Mathematical Institute for Data Science, the Cognitive Science Department, and the Data Science and AI Institute. His goal is to develop the probabilistic modeling, inference, and learning techniques needed for a unified model of all kinds of linguistic structure, and to connect existing models (such as LLMs) to commonsense reasoning, formal reasoning, and downstream applications. His 180+ papers have presented various algorithms for parsing, machine translation, and weighted finite-state machines; formalizations, algorithms, theorems, and empirical results in computational phonology; unsupervised or semi-supervised learning methods for syntax, morphology, and word-sense disambiguation; and principled methods for conversational AI, including neural language modeling and semantic parsing. From 2019-2024 he was Director of Research at Microsoft Semantic Machines, which developed new approaches to conversational AI. He is also the lead designer of Dyna, a declarative programming language that provides an infrastructure for AI algorithms. He has received 3 school-wide awards for excellence in teaching, most recently in 2025, as well as recent 

 Zoom Link

Meeting ID: 977 5500 1285  | Passcode: 247306 

For more information, or for CODA guest access, please contact shatcher8@gatech.edu at least 2 business days prior to the event.

Abstract

Civil society organizations (CSOs) operate at the frontline of civic engagement, often navigating complex political, social, and economic environments. In East Africa, CSOs face several challenges, ranging from a shrinking civic space, to increasingly disengaged populations to shrinking funding. CSO programming has also been ineffective in many cases leading to wasted resources, poor feedback loops and sub-par outcomes. This talk draws on practical experience working with CSOs in the region to unpack the behavioral barriers that limit civic participation as well as effective CSO programming. It explores how behavioral science has been applied through experimentation, co-design and communications to redesign engagement strategies, influence policy, improve public service delivery and improve government responsiveness to citizens' voices. This talk will also highlight key lessons on what works, what doesn’t, and why, offering a grounded perspective on how to design more effective, context-sensitive civic engagement programs.

Admission is free and open to the public.

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View the concert program.

Watch the live stream on the School of Music's YouTube channel.

Visit the School of Music's website to view the schedule of concerts for this semester. 

Follow the School of Music on Facebook to keep up with our news and events.

Abstract

The internet has fundamentally changed small businesses in the United States. Social media and e-commerce platforms have enabled new business models, many of which can be operated from home offices and basements. Entrepreneurs are less dependent on brick-and-mortar presences than ever. We argue that this shift has dramatic effects on small business owners’ political behaviors and identity. The small-business-owner-as-civic-leader archetype that features so heavily in American civic and political life is not inherent to entrepreneurial activity, but is rather the product of interactions that are specific to brick-and-mortar businesses, especially when co-located with other brick-and-mortar businesses. Brick-and-mortarness, we argue, exposes business owners to a plethora of routine interactions with the government (via parking, construction, building permits, etc.) that catalyzes (sometimes collective) political actions. These mundane political actions teach small business owners how local politics works, but also socialize them to see themselves as political beings, with long term and broad impacts on how they relate to local politics and civic life. We test this using data from a statewide survey on Minnesota small business owners and through a new dataset of small business owners’ participation in the January 23, 2026 anti-ICE strike in Minnesota. We find consistent support for our theory. An implication of this is that the technological innovations of the  internet suppresses the political socialization of business owners into individual and collective political actors.

With more than nine years of experience in early-stage venture investing, including prior roles in the Bay Area and at Toyota Ventures’ frontier tech fund, Erin brings a seasoned investor’s perspective to innovation, commercialization, and startup growth. In this conversation, she will share insights into venture investing, Georgia Tech’s entrepreneurial ecosystem, and the role GTF Ventures plays in supporting innovation emerging from campus. 

Attendees will gain a better understanding of fund operations, capital raising, and what investors look for in early-stage opportunities. This session will be especially valuable for innovators, founders, and anyone interested in the intersection of research, entrepreneurship, and investment at Georgia Tech.

About Erin Keller

Erin Keller is Venture Fund Lead at the Georgia Tech Foundation, where she leads diligence, investment recommendations, and post-deal support. She previously spent more than six years in the Bay Area investing in early-stage companies, most recently at Toyota Ventures’ frontier tech fund. Erin began her career at a Medtech Venture Studio in Atlanta and holds a degree in Biomedical Engineering from Georgia Tech.

IDEaS-affiliated students and staff are also welcome.

If you do not have access to Coda, near the beginning of the event we will have a staff member or student waiting by the reception desk near the elevators to escort people up.

For questions please contact Ashley.edwards@gatech.edu

Coffee and snacks will be served.

COURSE IS FULL

Sponsored by The Institute for Data Engineering and Science (IDEaS).
Supported by the School of Computer Science.

Abstract: Generative AI systems are no longer just tools — they are becoming active participants in how people make sense of themselves, seek support, and navigate moments of vulnerability. Nowhere is this shift more consequential than in mental health, where large language models (LLMs) are increasingly mediating help-seeking, shaping perceptions of care, and producing guidance at scale. This talk positions digital mental health as a critical testbed for interrogating the foundations of generative AI, where questions of reliability, alignment, and human impact are especially salient.

Drawing on empirical research, I describe how LLMs participate in mental health discourse: as conversational agents, sources of guidance, and mediators of support. While these systems demonstrate remarkable fluency and scalability, they also exhibit important limitations: variability in correctness and consistency, cultural and therapeutic misalignment, and challenges in capturing the nuance of lived experience. I further discuss emerging risks associated with generative systems in this context, including over-reliance, sycophantic responses, and the potential erosion of human agency and social connection. These findings underscore a broader tension in generative AI: systems optimized for engagement and responsiveness may not align with the goals of care, safety, and long-term wellbeing. I conclude by outlining a human-centered foundation for generative AI — one that foregrounds identity, agency, and institutional context, and advances toward systems that are not only capable of generating language, but are accountable to the human conditions they shape.

Bio: Munmun De Choudhury is J. Z. Liang Professor at the School of Interactive Computing and Co-Lead of Patient-Centered Care Delivery at the Children's Healthcare of Atlanta-Pediatric Technology Center in Georgia Institute of Technology. Dr. De Choudhury is known for her contributions to the fields of computational social science, human-computer interaction, and digital mental health. Through fostering interdisciplinary collaborations, Dr. De Choudhury and her collaborators have contributed significantly to advancing the development of computational techniques for early detection and intervention in mental health, as well as in unpacking how social media use benefits or harms mental well-being.

De Choudhury's contributions have been recognized through awards like the 2023 SIGCHI Societal Impact Award, the 2023 ICWSM and the 2022 Web Science Trust Test-of-Time Awards, the 2021 ACM-W Rising Star Award, as well as nearly two dozen paper awards. In 2024, she was inducted into the SIGCHI Academy and in 2025 was named an ACM Distinguished Member. Beyond her academic contributions, Dr. De Choudhury is a persistent contributor to policy-framing and advocacy initiatives, and is frequently sought for expert advice to governments and media. Notably, Dr. De Choudhury was an invited contributor to the Office of U.S. Surgeon General’s 2023 Advisory on The Healing Effects of Social Connection. Currently, she serves as a member of the Technical Advisory Group of the Commission for Social Connection at the World Health Organization and also advises the World Bank.

Zoom link for virtual participation

INNS Scientific Achievement Award: Apply by April 17

INNS Arts Achievement Award: Apply by April 17

Join us for a community meal service event where we'll be handing out warm meals to our Atlanta neighbors in need. This is a hands-on opportunity to give back, show up for your community, and make a real difference — one meal at a time.

📅 Date: Saturday, April 11th 🕒 Time: 3:00 PM – 6:00 PM 📍 Location: Atlanta, GA

Whether you're a first-time volunteer or a seasoned community servant, all are welcome to come out and help feed our neighbors with warmth and care.

To sign up, visit GivePulse or scan the QR code on the flyer.

This event will bring together people from academia, industry, government, and other organizations to discuss the future of data center sustainability, particularly from a social and policy lens, and to debate methods to help ensure equitable growth where the rewards and costs associated with this massively growing industry are shared across populations and communities. This is particularly important, as many community discussions about data centers focus on water and energy sustainability, while overlooking issues of policy, social, and community sustainability.

Our discussions will focus on both the local issues here in Atlanta and lessons learned and best practices we can draw from across the globe.

Expect engaging conversations pointing to a shared understanding of:

• Current and future social and policy challenges and opportunities related to data centers;
• An array of solutions and strategies to address the identified challenges;
• Perspectives and lessons learned from Atlanta and around the globe regarding the political and social aspects of data centers;
• Best practices and considerations for creating effective mechanisms for community engagement with data center stakeholders.

Event webpage with agenda and speaker details: https://research.gatech.edu/ipat/data-ctrs-future-apr2026

<RSVP> for the event here >>

Registration: Coffee and Compost: In-Vessel Tour Sign Up, April 17, 2026 9 a.m. or 10 a.m. start options – Fill out form

Abstract:

Bio: 

Thursday, April 16, 2026, 11:30 AM - 12:30 PM

Georgia Tech: Suddath Seminar Room 1128 - Institute for Bioengineering and Biosciences Building (IBB)

RSVP

Speakers include:

• Kenneth De Jesus, Ph.D., Associate, Biomechanics
• Regan Lawson, Ph.D., Senior Managing Scientist, Human Factors
• Susie Shepardson, Ph.D., Senior Scientist, Human Factors
• Stacy Ross, M.S. Associate, Vehicle Engineering
• Joseph Pearson, Ph.D., Senior Associate, Biomechanics

Digital technologies are reshaping our work and our lives at unprecedented speed. This presentation examines three forces driving this Fourth Industrial Revolution: exponentiality, convergence, and ubiquity, and their implications for higher education and adult learning. Dr. Schatz explores critical questions: How do we leverage AI-enabled personalization to support careers when 40% of worker skills become obsolete every five years? How do we design learning ecosystems that scale adaptive support across institutional boundaries? How do we use data to inform lifelong learning while respecting individuals’ data sovereignty? Drawing on cognitive science and learning engineering research, this presentation offers actionable strategies for implementing AI-augmented adult learning systems that move from pilot projects to institutional practice.

Biosketch

Sae (pronounced like “say”) works at the intersection of cognition, technology, and data. She specializes in bridging the gap between scientific principles and human-centered practice, and her unique approach to “strategic storytelling” (translating complex topics into memorable messages) has garnered professional awards and seen her work translated into multiple languages. 

In 2023, Sae launched the Knowledge Forge LLC, a boutique consultancy offering keynotes, professional development workshops, and strategic services. Her clients include government agencies, academic institutions, and businesses. Recently, for example, she delivered keynotes at the UK Special Forces Club (Knightsbridge), Prometric board meeting, and Innovations in Testing annual conference. She’s published works in TD Magazine, Defense Dossier, and the Journal of Military Learning, and she helped to produce the Learning Engineering Toolkit (2022), authored Engines of Engagement: A Curious Book About Generative AI (2023), and contributed to the U.S. National Academies’ report on Adult Learning in the Military Context (2024). 

From 2015 to 2022, Sae served as the director of the Advanced Distributed Learning (ADL) Initiative, a U.S. Department of Defense program for research, development, and policy stewardship. She also co-chaired the NATO Training Group (NTG) Individual Training and Educational Developments task group. Under her leadership, the U.S. ADL Initiative sparked the international community’s pursuit of the lifelong “digital learning ecosystem,” in part with her popular book Modernizing Learning: Building the Future Learning Ecosystem. Her efforts were also formally recognized as “a pathfinder for enterprise data services” by then–DoD Chief Data Officer David L. Spirk. 

Before joining the civil service, Sae worked as an applied human-systems scientist in both business and academia. From 2011 to 2014, she was the chief scientist at MESH Solutions (a defense contractor), where she led the U.S. Marine Corps’ Making Good Instructors Great project and the U.S. Joint Staff’s award-winning Blended Learning–Training effort. Prior to that, she held an assistant professorship with the University of Central Florida’s Institute for Simulation and Training. Sae is a prolific writer and professional presenter as well as a graphic designer who often uses those skills to enhance books, presentations, and infographics. 

She holds a doctorate in Modeling and Simulation (M&S), with an emphasis on human systems.

RSVP to secure your spot - there will be two presentation sessions, two meet-and-greets, and free food throughout the day.

Each film will be introduced live, offering insight into the creative process behind the work. Attendees will also have access to press kits that further contextualize the films and their connection to Stein’s poetry.

With popcorn provided and a focus on experimental, student-driven creativity, this event offers a relaxed yet thought-provoking environment to experience innovative film and artistic interpretation.

The first portion details research in Articulatory Phonology, specifically the utilization of real-time MRI (rtMRI) to analyze the physiological mechanisms of speech production within the human vocal tract. 

The second portion provides an overview of how linguistics contributes to the Speech Technologies sector, focusing on the development and deployment of Text-to-Speech (TTS) systems.

The campus community is invited to attend the exhibition to view the zines and portfolios, as well as to interact with and celebrate the artists! Concurrent with the exhibition is a celebration for all LMC seniors to enjoy and celebrate their accomplishments with one another and the wider campus community.

Title: Breaking the Scaling Wall in Distributed Deep Learning

Abstract: Significant advances in computer architecture (development of extremely powerful server-class GPUs) and parallel computing (scalable libraries for dense and sparse linear algebra) have contributed to the on-going AI revolution. In particular, distributed training of deep neural networks (DNNs) relies on scalable matrix multiplication algorithms and efficient communication on high-speed interconnects. Pre-training and fine-tuning large language models (LLMs) with hundreds of billions to trillions of parameters and graph neural networks (GNNs) on extremely large graphs requires hundreds to tens of thousands of GPUs. However, such training often suffers from significant scaling bottlenecks such as high communication overheads and load imbalance.

In this talk, I will present several systems research directions that directly impact AI model training. First, I will describe my group's work in using a three-dimensional parallel algorithm for matrix multiplication in large-scale LLM training.  Second, I will demonstrate the application of the same algorithm to full-graph and mini-batch GNN training when working with extremely large graphs. Finally, I will also discuss the need for scalable collective communication routines for large-scale DNN training.

Bio: Abhinav Bhatele is an associate professor in the department of computer science, and director of the Parallel Software and Systems Group at the University of Maryland, College Park. His research interests are broadly in systems and AI, with a focus on parallel computing and distributed AI. He has published research in parallel programming models and runtimes, network design and simulation, applications of machine learning to parallel systems, parallel deep learning, and on analyzing/visualizing, modeling and optimizing the performance of parallel software and systems. Abhinav has received best paper awards at Euro-Par 2009, IPDPS 2013, IPDPS 2016, and PDP 2024, and a best poster award at SC 2023. He was selected as a recipient of the IEEE TCSC Award for Excellence in Scalable Computing (Early Career) in 2014, the LLNL Early and Mid-Career Recognition award in 2018, the NSF CAREER award in 2021, the IEEE TCSC Award for Excellence in Scalable Computing (Middle Career) in 2023, and the UIUC CS Early Career Academic Achievement Alumni Award in 2024.

Abhinav received a B.Tech. degree in Computer Science and Engineering from I.I.T. Kanpur, India in May 2005, and M.S. and Ph.D. degrees in Computer Science from the University of Illinois at Urbana-Champaign in 2007 and 2010 respectively. He was a post-doc and later computer scientist in the Center for Applied Scientific Computing at Lawrence Livermore National Laboratory from 2011-2019. Abhinav was an associate editor of the IEEE Transactions on Parallel and Distributed Systems (TPDS) from 2022-2024. He was one of the General Chairs of IEEE Cluster 2022, and Research Papers Chair of ISC 2023.

Come and learn about a distributed CubeSat constellation concept that Georgia Tech is developing to map space weather effects on the ionosphere and their impacts on space-enabled technologies using natural signals of opportunity from lightning. This workshop will feature speakers from multiple GTRI laboratories and GT schools discussing the technologies and capabilities that Georgia Tech has available to provide important ionospheric measurements for “space weather meteorologists” that will also enable future improvements in forecast models.

Lunch provided.

Agenda

12-12:30p – lunch + meet and greet
12:30p-2p – workshop

Following the performance, a post-show talkback will be led by Thomas Brazzle, Assistant Director of GT Arts, providing insight into the creative process, the production, and its exploration of AI in storytelling.

This free event is open to all, offering a unique blend of music, technology, and critical reflection on the digital age.

Can math models help us understand the brain?

Thursday, April 16, 2026
5:00PM - 6:00PM @ DM Smith 115 
Reception at 4:00pm in Skiles Atrium

Stelson Lecture Abstract

Can math models help us understand the brain? I would like to think that they can, and will illustrate by sharing some work my collaborators and I have done on the monkey visual system, which is very similar to that of humans. Specifically, I will focus on two visual properties: one is used in the detection of edges, the other is relevant when our eyes track moving objects. To explain the origin of these properties, simple mathematical ideas were first developed in idealized settings. They were then tested -- and fine-tuned -- via simulations using large-scale dynamical network models that are biologically more realistic.

SoM Colloquium Abstract

Convergence of ergodic averages from an observational viewpoint (Friday 4/17 at 11am)
The Birkhoff Ergodic Theorem describes typical behaviors and averaged quantities with respect to an invariant measure. In this talk, I will focus on "observable" events, equating observability with positive Lebesgue measure. From this observational viewpoint, "typical" means typical with respect to Lebesgue measure. This leads immediately to issues for attractors, where all invariant measures are singular. I will present highlights of developments in smooth ergodic theory that address these questions. The theory of physical and SRB measures applies to dynamical systems that are deterministic as well as random, in finite and infinite dimensions (where observability has to be interpreted differently). This body of ideas argue in favor of convergence of ergodic averages for typical orbits. But the picture is a little more complicated: In the last part of the talk, I will discuss some recent work that shows that in many natural settings (e.g. reaction networks), it is also typical for ergodic averages to fluctuate in perpetuity due to heteroclinic-like behavior.

About the Speaker

Lai-Sang Young is a Professor of Mathematics and Henry and Lucy Moses Professor of Science at the Courant Institute, New York University. She received her PhD from the University of California at Berkeley in 1978. Her primary area of research is dynamical systems, with applications to mathematical physics and computational neuroscience. She has given plenary lectures at the International Congress of Mathematicians (2018), International Congress on Mathematical Physics (1997, 2018), and in annual meetings of the American Mathematical Society and Society for Industrial and Applied Mathematics. Her recent awards include the Moser Prize (2021), Hopf Prize (2023), and Schock Prize (2024). She is a member of the US National Academy of Sciences.

Registration required at this link

MathWorks and PACE are partnering to offer two hands-on computing workshops, taught by MathWorks engineers, to PACE researchers and other members of the Georgia Tech community. 
In both sessions, you will also learn how to take advantage of PACE resources, which are available to all researchers at Georgia Tech (including a free tier available at no cost), to scale your MATLAB computations.

Who should attend?

Students, post docs and faculty at Georgia Tech that want to use machine learning in MATLAB and scale their computations to take advantage of PACE resources. 

Featuring music and lyrics by William Finn and a book by Rachel Sheinkin, this fast-paced production runs April 3–18, 2026, with evening performances, continuing DramaTech’s tradition of student-driven, innovative theatre that highlights both comedic flair and meaningful storytelling. 

Featuring music and lyrics by William Finn and a book by Rachel Sheinkin, this fast-paced production runs April 3–18, 2026, with evening performances, continuing DramaTech’s tradition of student-driven, innovative theatre that highlights both comedic flair and meaningful storytelling. 

Featuring music and lyrics by William Finn and a book by Rachel Sheinkin, this fast-paced production runs April 3–18, 2026, with evening performances, continuing DramaTech’s tradition of student-driven, innovative theatre that highlights both comedic flair and meaningful storytelling. 

Featuring music and lyrics by William Finn and a book by Rachel Sheinkin, this fast-paced production runs April 3–18, 2026, with evening performances, continuing DramaTech’s tradition of student-driven, innovative theatre that highlights both comedic flair and meaningful storytelling. 

Ticket Information:

External Pricing - $40
GT Faculty, Staff, & Alumni Pricing - $30
Student Pricing - $20

What does my ticket include?
All tickets include admission to the gala, dinner, beverages, networking opportunities, one free raffle ticket, engagement with prominent individuals, access to the research gallery, and photo opportunities with a very special Yellow Jacket.

RSVP at the hyperlinked form to receive a link to purchase your ticket! Please note that your RSVP does not guarantee entrance to the event unless you have a paid ticket or have received VIP guest status from Southeast Analog.

If you would like to learn more about our organization, please visit our website (www.southeastanalog.org) or our socials (@SoutheastAnalog). Any and all questions should be directed to southeastanalog@gmail.com.

This course module is designed for individuals interested in hands-on training in the fabrication of microfluidic devices using the soft lithography technique. This two day intensive short course will be structured to assume no prior knowledge of the technologies by the participants. The course agenda is evenly divided between laboratory hands-on sessions, including SU-8 master mold creation using photolithography and PDMS device fabrication in the IMS cleanroom, and supporting lectures. The goal for this course is to impart a basic understanding of soft lithography for microfluidic applications as practiced in academia and industry.  

Attendance is open to the general technical community and is not limited to current Georgia Tech students or IMS users. Anyone interested in soft lithography or microfluidics techniques is strongly encouraged to attend this course. The course is suitable for both new and experienced researchers interested in soft lithography techniques and applications. 

A course emphasis will be placed on IMS cleanroom resources, however, the concepts and techniques discussed are applicable to a broad array of research in this field.

Rates: *Rates include lunches on all days*

• Georgia Tech Rate: $150
• Academic and Government Rate: $300
• Industry Rate: $600

Abstract: As AI becomes increasingly powerful and ubiquitous, it is disrupting skills and displacing workers. NSF’s National AI Institute for Adult Learning and Online Education (AI-ALOE) posits that AI can be part of the solution to the growing problem if we can use AI for reskilling, upskilling, and workforce development at scale. The long-term vision of AI-ALOE is to develop and use AI technologies to enhance the proficiency of online education for all adult learners, using in-person education as a benchmark. The day-to-day mission of AI-ALOE is to conduct responsible research into AI that is grounded in theories of human cognition and learning and derived from the scientific process of learning engineering. I will describe ongoing research at AI-ALOE.

Bio: Ashok Goel is a Professor of Computer Science and Human-Centered Computing in the School of Interactive Computing at Georgia Institute of Technology, and the Chief Scientist with Georgia Tech’s Center for 21st Century Universities. He is a Fellow of AAAI and the Cognitive Science Society, an Editor Emeritus of AAAI’s AI Magazine, and a recipient of AAAI’s Robert Engelmore Award, Outstanding AI Educator Award, Distinguished Service Award, and of multiple IBM Faculty Awards. Ashok is the PI and Executive Director of NSF’s National AI Institute for Adult Learning and Online Education (aialoe.org) headquartered at Georgia Tech. He is the Founder of Beyond Question AI, LLC.

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IPaT: GVU Lunch Lecture Series

Abstract: Since the release of ChatGPT in 2022, generative artificial intelligence has evolved rapidly from conversational tools to autonomous systems that reason, act, and learn independently. This represents a fundamental shift from AI as a classroom presence to educational infrastructure. Neuroscience now confirms what learning designers have long known: scaffolding, sequence, and cognitive friction are not optional features of learning—they are its foundations. General-purpose AI, deployed without pedagogical alignment, risks removing that friction, accumulating “cognitive debt” rather than foundational understanding.

In this talk, Pratschke introduces Generativism, her design approach for creating generative learning in a world where humans learn and work in partnership with AI, and the three integrated frameworks that operationalize it: (1) a Contextual Framework identifying four essential dimensions—cognitive, learner, pedagogical, and technical; (2) TPAIK, which reimagines the established TPACK framework to define the intelligences required of AI systems; and (3) the Agentic Community of Inquiry (ACoI), an adaptation of the Community of Inquiry model that provides a structure for multi-agent learning environments.

As AI moves from language to experience—from agentic systems to world models that generate entire simulated environments—the stakes for pedagogical design only increase. These frameworks provide the foundations for designing learning that takes place not just with AI, but inside the worlds it creates. The role of the educator is shifting—from consumer of AI tools to designer and creator of AI systems—and these frameworks serve as a guide.

Biography: Mairéad Pratschke is a researcher, strategist, and advisor who has worked at the intersection of digital technology and education for more than 25 years. She is the author of Generative AI and Education: Digital Pedagogies, Teaching Innovation and Learning Design (Springer, 2024), and her work focuses on moving institutions from passive AI adoption to intentional pedagogical system design. She is a visiting professor at the LSE Data Science Institute and sits on the External Advisory Board of AI-ALOE at Georgia Tech.

• Website: https://maireadpratschke.com/
• LinkedIn: https://www.linkedin.com/in/maireadpratschke/

Join the Georgia Tech Library online Thursday, April 23 from 11 a.m. to 12:30 p.m. for our Designing for Climate Resilience: A Tableau and HCI Approach workshop. 

Allison Traylor
Assistant Professor
College of Behavioral, Social, and Health Sciences
Clemson University

Whether your team is starting a new project, working to establish new norms, or setting expectations for new members, a team charter can help your team lay the foundation for success. A team charter is a codified plan for how a team will manage teamwork activities. Team charters are evidence-based and are associated with improved team performance. This hands-on workshop will describe the benefits of team charters and provide the resources necessary to implement an effective charter in your team.

Team consult opportunity:

Our Team Science Skills presenters have graciously opened their schedules to provide a limited amount of attendees with direct feedback and guidance on their personal team issues. During a one-hour consulting session, attendees will be able to directly ask our experts questions and get personalized advice on how to effectively move their team forward.  Requesters must attend the full session and complete the post-evaluation survey to be eligible. 

Join us for lunch to learn how to better leverage the incredible resources available via your IBB Core Facilities! Lunch provided for registered attendees. 

Register to attend 

 

When: 9:00 AM – 11 AM
Where: McIntire Conference Room (Whitaker Bldg. Rm 3115)
What:

• Open-door format: stay for the full two hours or drop in for 15–30 minutes — every bit counts!
• Enjoy a supportive, motivating space to focus on your writing — no pressure, just progress.
• Coffee, tea, and pastries are provided to keep you fueled.

Who is Welcome?
Anyone working in neuroscience, neurotechnology, or society-related research and writing. Undergraduates, graduate students, trainees, postdocs, faculty, and staff are all encouraged to join!

• Resources for finding credible journals in your field
• Library databases for journal impact measures
• Tools for measuring citation counts and tracing citations
• Options for managing your scholarly identity and visibility
• Resources for open access publishing

EndNote software is available to the Georgia Tech community, as part of your Georgia Tech Technology Fee.

At the end of this session you will be able to add references to EndNote from databases and online sources, manage references and PDFs in EndNote, and use Cite While You Write to add citations from EndNote to MS Word documents.

No prior experience with EndNote required.

Fans can get their first look at the 2026 Georgia Tech Football Game at the annual White & Gold Game, presented by Renasant Bank, on Saturday, April 18, at 1 p.m. at Bobby Dodd Stadium at Hyundai Field, with free admission for all fans. 

Before kickoff, Georgia Tech will host the first-ever Legends Brunch presented by Proof of the Pudding, an exclusive event featuring a full brunch buffet and a panel discussion with prominent former Yellow Jacket Head Coach and players. Limited tickets are remaining, and you can get yours by clicking here. 

The day will also include a free on-field kids’ clinic for children ages 5–12 before the game, allowing young fans to take the field and learn football skills from 11:00 am – 12:00 pm, with check-in starting at 10 am. Click here to claim your free kids' ticket. 

Whether you’re preparing for exams or just need a focused environment, this is a great space to stay accountable and get things done.

All majors and experience levels are welcome.

Georgia Tech's Symphony Orchestra will lead the way on April 9th featuring soloists Adrian Cheung playing Sibelius' Violin Concerto in D minor, and Aubrey Odle performing Wagner's Tristan and Isolde. On April 19th, the student showcase includes student ensembles from across campus and Georgia Tech's Concert Orchestra playing a variety of music, from Tchaikovsky to Gynt to Hisaishi, featuring student conductors from the orchestra.

Each concert will feature a small reception after!

Whether you're here to find a collaborator or just to be inspired, come see how the Digital Media Program is redefining what’s possible.

Join faculty from across the Georgia CTSA for an energetic and dynamic virtual networking session!

Georgia Tech’s Quadrant-i (Q-i) team and Cadence Design Systems are partnering to host a special on-campus event focused on cloud-enabled semiconductor design and simulation for the Georgia Tech research and innovation community.

Join us for Cadence Cloud for Semiconductor Design Startups Tech Day, a full-day event bringing together researchers, founders, and industry leaders to explore the latest innovations in semiconductor design and simulation technologies.

 Register to attend:

https://airtable.com/appT8RkeDd5BZwGES/pagByzTNsNXx9ocDP/form