Good Systems Symposium HUB
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12 pm

Welcome and Introductions

Alison Fiorenza is a host of exceptional ability. Studies show that a vast majority of guests attending events by Alison have been known to leave more elated than visitors to Santa's Workshop, The Lost of Continent of Atlantis, and the Fountain of Youth.

Our VP of Product Marketing, Ingrid Wantuch, kicks off the event with a welcome message.

Location: Blue Room

12 pm

Welcome and Introductions

Alison Fiorenza is a host of exceptional ability. Studies show that a vast majority of guests attending events by Alison have been known to leave more elated than visitors to Santa's Workshop, The Lost of Continent of Atlantis, and the Fountain of Youth.

Our VP of Product Marketing, Ingrid Wantuch, kicks off the event with a welcome message.

Location: Blue Room

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GOOD

SYSTEMS

SYMPOSIUM

APRIL 2 - 3

Shaping the Future of Ethical AI

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Our fifth annual symposium brings together leaders across sectors and disciplines to explore the opportunities and challenges at the dynamic intersection of artificial intelligence and society. Come for thought-provoking conversations, exciting tech demos, the latest research insights, a poster session and networking reception, and more. We hope you will join us in learning, innovating, and collaborating to shape the future of ethical, responsible and safe AI.

The Good Systems Symposium is the signature annual event of the UT Austin interdisciplinary research challenge to design AI technologies for the benefit of society. It is free and open to the public.

APRIL 2

1:00 PM

Welcome Remarks


Luis Sentis, Ph.D., Cockrell School of Engineering – Good Systems Chair


Jennifer Lyon Gardner, Ph.D., Office of the Vice President for Research, Scholarship and Creative Endeavors

Etter-Harbin Alumni Center, Connally Ballroom

1:15 PM

Opening Keynote

AI Hopes or Oligarchic Practice: Winners and Losers

Robin Mansell, Ph.D., The London School of Economics and Political Science


This scholarly talk highlights contending positions on how AI developments may be troubling for democracy. There are multiple tensions, including claims that AI will contribute to responsible content and counter-claims that incentives driving commercial data monetization will override any form of responsibility. This is further complicated by rejection of "responsible" in favor of a fundamentalist adherence to free speech.  Where and when harm is identified, the question is whether governmental data governance approaches and local struggles towards data justice are adequate to meet the challenges of protecting human rights, building trust, and securing equitable inclusion in online discourse.  As information ecosystems increasingly rely on AI systems, the core question is who wins and who loses in the contest between reliable information and disinformation?


Keynote to be followed by a fireside chat with Sharon Strover, Ph.D., Moody College of Communication

Etter-Harbin Alumni Center, Connally Ballroom

2:30 PM

Panel Discussion

AI, Autonomous Vehicles, and Energy: Powering Transportation in Smart Cities

How do autonomous vehicles (AVs) work, and how do they impact our cities? What ethical considerations are top of mind when it comes to energy use, public safety, and shifting social norms? In this featured panel discussion moderated by Good Systems Chair Dr. Luis Sentis (Aerospace Engineering), hear perspectives from experts building AI technologies to make transportation safer, more energy efficient and more useful, and from city leaders working to advance responsible energy use and quality of life across our communities as they address complex questions about the future of transportation and planning in Austin and other smart cities.


Drago Anguelov, Ph.D., Waymo

Chandra Bhat, Ph.D., Cockrell School of Engineering

Kristin Bray, City of Austin

Moderated by: Luis Sentis, Ph.D., Cockrell School of Engineering

Etter-Harbin Alumni Center, Connally Ballroom

3:45 PM

Poster Session and Reception


Explore projects from Good Systems faculty, researchers and students and enjoy light bites and beverages during this interactive session.

 

The reception will feature an interactive demonstration by the Lab for Immersive Media: Step into the future with the Department of Arts and Entertainment Technologies (AET). Situated within the nationally ranked School of Design and Creative Technologies (SDCT) at The University of Texas, AET equips graduates with the technological mindset needed to achieve their creative goals across the fields of visualization, sound, games, storytelling, and immersive media, in both digital and real physical spaces.

Etter-Harbin Alumni Center, Connally Ballroom

APRIL 3

8:30 AM

Check-In & Breakfast


Join us for coffee and breakfast as we kick off Day Two of our symposium.

Etter-Harbin Alumni Center, Connally Ballroom

9:00 AM

Good Systems Demos and Discussion

Ethical AI Research in Action

Explore innovations, tools and insights from Good Systems researchers and their partners driving AI technologies for societal benefit.

 

Living and Competing with Robots: RoboCup as an Object of Social Science Study

Emily Norman, Moody College of Communication

Peter Stone, Ph.D., College of Natural Sciences

From Living and Working with Robots

 

Using AI to Forecast Weather Conditions at the 2024 Paris Olympics

Dev Niyogi, Ph.D., Jackson School of Geosciences & Cockrell School of Engineering

Transportation Digital Twin for the City of Austin

Yiming Xu, Ph.D., School of Architecture

From  A Good System for Smart Cities


Generating Multi-Persona Debates with Large Language Models to Explore Diverse Perspectives on Controversial Topics

Houjiang Liu, School of Information

From Designing AI Technologies to Protect Information Integrity

 

Ethical AI Governance and Training for Cities

Azza El Masri, Moody College of Communication

Brad Limov, Ph.D., Moody College of Communication

From Being Watched: Embedding Ethics in Public Cameras


AI Is Not Gonna Take Our Jobs: Supporting Skilled Trade Workers with Smart Hand Tools

Chelsea McCullough, School of Information & Digi.City

Chela New, Cockrell School of Engineering

From Smart Hand Tools: Building the Future of Work with Ethical AI


Improving Pedestrian Safety: A Study of Vehicle-Pedestrian Interactions using Videography and Virtual Reality

Chandra Bhat, Ph.D., Cockrell School of Engineering

Angela Haddad, Cockrell School of Engineering

LLMs for Community Engagement: Enhancing Community Engagement for UAM Planning

Min Kyung Lee, Ph.D., School of Information

Whitney Nelson, School of Information

From Designing AI to Advance Racial Equity

Etter-Harbin Alumni Center, Connally Ballroom

12:00 PM

Closing Keynote

On AI Alignment in the Provision of Social Services: Opportunities and Challenges

Sanmay Das, Ph.D., Virginia Tech


Artificial intelligence and machine learning are increasingly used to aid decision-making about the allocation of scarce societal resources: housing for people who are unhoused, organs for transplantation, and educational supports for K-12 students, among others. What does it mean for these systems to be "aligned" with human preferences? In practice, this involves attempts to achieve some combination of fairness, efficiency and incentive compatibility, depending on the preferences of some set of stakeholders.

Das will share his research in this space, informed by the theories of local justice and of street level bureaucracy and will discuss his analysis of the efficiency, fairness and the distributive justice in human, machine and hybrid decision-making for public services, with a particular focus on resources for those experiencing or at risk of housing insecurity. Das will share key theoretical, empirical and experimental results, highlighting AI's potential benefits, as well as the major human and technical challenges.


Keynote to be followed by a fireside chat with Peter Stone, Ph.D., College of Natural Sciences.

 

Lunch will be provided.

Etter-Harbin Alumni Center, Connally Ballroom

KEYNOTE SPEAKERS

Sanmay Das, Ph.D.

PROFESSOR OF COMPUTER SCIENCE, vIRGINIA TECH

ASSOCIATE DIRECTOR OF AI FOR SOCIAL IMPACT, SANGHANI CENTER FOR AI AND DATA ANALYTICS

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Featured speaker

Robin Mansell, Ph.D.

PROFESSOR EMERITA OF new media and the internet,

the london school of economics and political science 

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SPEAKERS

The full speaker lineup will be announced soon.

Drago Anguelov, Ph.D.

VICE PRESIDENT, HEAD OF AI FOUNDATIONS TEAM

WAYMO

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Chandra Bhat, Ph.D.

joe j. king endowed chair professorship in engineering

cockrell school of engineering

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Kristin Bray

BUSINESS  PROCESS CONSULTANT

CITY OF AUSTIN

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Azza El Masri

PH.D. CANDIDATE

MOODY COLLEGE OF COMMUNICATION

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Angela Haddad

PH.D. CANDIDATE

COCKRELL SCHOOL OF ENGINEERING

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Min Kyung Lee, Ph.D.

ASSISTANT PROFESSOR

SCHOOL OF INFORMATION

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Brad Limov, Ph.D.

POSTDOCTORAL FELLOW

MOODY COLLEGE OF COMMUNICATION

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Houjiang Liu

PH.D. CANDIDATE

SCHOOL OF INFORMATION

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Jennifer Lyon Gardner, Ph.D.

deputy vice president for research

office of the vice president for research, Scholarship and creative endeavors

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Chelsea McCullough

PH.D. Student, sCHool of information

founder, digi.city

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Whitney Nelson

PH.D. STUDENT

SCHOOL OF INFORMATION

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Dev Niyogi, Ph.D.

professor & william stamps farish chair, jackson school of geosciences

professor, cockrell school of engineering

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Emily Norman

PH.D. STUDENT

MOODY COLLEGE OF COMMUNICATION

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Luis Sentis, Ph.D.

Professor

Cockrell School of Engineering

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Peter Stone, Ph.D.

Truchard Foundation Chair in computer science
College of natural sciences

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Sharon Strover, Ph.D.

PHILIP G. WARNER REGENTS PROFESSOR IN COMMUNICATION
Moody college of communication

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Yiming Xu, Ph.D.

postdoctoral fellow

school of architecture

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VENUE

Etter-Harbin Alumni Center

Connally Ballroom

2110 San Jacinto Blvd

Austin, TX 78712

Parking vouchers will be available on a first-come, first-served basis in the Brazos Garage and the Manor Garage.

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Sanmay Das, Ph.D.

PROFESSOR OF COMPUTER SCIENTIST & ASSOCIATE DIRECTOR OF AI FOR SOCIAL IMPACT,

VIRGINIA TECH & SANGHANI CENTER FOR AI AND DATA ANALYTICS

Sanmay Das is Professor of Computer Science and Associate Director of AI for Social Impact at the Sanghani Center for AI and Data Analytics at Virginia Tech’s Innovation Campus. He is chair of the ACM Special Interest Group on Artificial Intelligence, a member of DARPA’s ISAT Study Group, and an emeritus member of the board of directors of the International Foundation for Autonomous Agents and Multiagent Systems. He serves as an associate editor for the ACM Transactions on Economics and Computation, the Journal of Artificial Intelligence Research, and Autonomous Agents and Multiagent Systems, and also as an arXiv moderator. He has served as program co-chair of AAMAS and of the AAAI/ACM Conference on AI, Ethics, and Society, and as Associate Program Chair for IJCAI. He has been recognized with awards for research, teaching, and service, including an NSF CAREER Award, several best paper awards, the Department Chair Award for Outstanding Teaching at Washington University, and the Outstanding Service Award from Computer Science at George Mason University. Dr. Das received his Ph.D. from MIT and a Bachelor’s degree from Harvard, both in Computer Science.

Luis Sentis, Ph.D.

PROFESSOR,

COCKRELL SCHOOL OF ENGINEERING

Luis Sentis is a Professor in the Department of Aerospace Engineering and Engineering Mechanics at The University of Texas at Austin. He is also a General Dynamics Endowed Faculty Fellow, and a member of UT Austin's Good Systems. He received his Ph.D. and M.S. degrees in Electrical Engineering from Stanford University. He was a La Caixa Foundation Fellow while at Stanford. He holds a B.S. degree in Telecommunications and Electronics Engineering from the Polytechnic University of Catalonia. Before Stanford, he worked in Silicon Valley as a Control Systems Engineer for clean room automation.

In Austin, he leads the Human Centered Robotics Laboratory, a laboratory focusing on control, task and motion planning, human factors, and experimentation with humanoid robots, mobile manipulation robots, exoskeletons and autonomous systems. He is also a founding member of the UT Robotics Portfolio Program and the UT Ethics of AI Portfolio Program. He was the UT Austin's Lead for DARPA's Robotics Challenge with NASA Johnson Space Center where he helped to design and test the Valkyrie humanoid robot. His research has been funded by ONR, NASA, NSF, ARL, AFC, DARPA and private companies.

He has been awarded the NASA Elite Team Award for his contributions to NASA’s Johnson Space Center Software Robotics and Simulation Division. He is also a founding member and innovation advisor for Apptronik Systems, a company focusing on human-centered robotic products.

Robin Mansell, Ph.D.

PROFESSOR EMERITA OF NEW MEDIA AND THE INTERNET,

THE LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE

Robin Mansell (PhD 1984, Simon Fraser University Canada) is Professor Emerita, Department of Media and Communications, London School of Economics and Political Science, and Scientific Director, Observatory on Information & Democracy, Paris. She is Fellow, British Academy, Academia Europaea, and CITI (Columbia Institute for Tele-Information). Past-President of International Association for Media and Communication Research (IAMCR), she is Advisory Board member of the Alexander von Humboldt Institute for Internet and Society (HIIG) and LIRNEAsia, Sri Lanka. Professor of Information and Communication Technology Policy at Science Policy Research Unit, (1988-2000), she holds a Doctorate Honoris Causa University of Fribourg and is recipient of the International Communication Association (ICA) C. Edwin Baker award. Her research focuses on media and communications regulation and policy, digital platform governance, privacy and surveillance, and the political economy of innovation in digital technologies. She is author of more than 120 papers. Her 23 books include Handbook of Media and Communication Governance (2024 Edward Elgar, co-edited), Reflections on the International Association for Media and Communications Research: One Forum, Many Voices (Palgrave 2023, co-edited), Advanced Introduction to Platform Economics (2020, Edward Elgar, co-authored) and Imagining the Internet: Communication, Innovation and Governance (2012 Oxford University Press).

Drago Anguelov, Ph.D. 

VICE PRESIDENT, HEAD OF AI FOUNDATIONS TEAM,

WAYMO

Drago leads the Waymo AI Foundations team, which focuses on pushing the state of the art in autonomous driving using ML/AI, and helping deploy the advances to Waymo's systems.

Before Waymo, Drago led the 3D Perception team at Zoox and prior to that, he spent eight years at Google. During his Google tenure, he worked on 3D vision and pose estimation for StreetView and later led an applied research team developing and deploying neural network models for annotating Google Photos. The team also invented popular methods such as the Inception neural network architecture, and the SSD detector, which helped win the Imagenet 2014 Classification and Detection challenges. 

Azza El Masri

PH.D. CANDIDATE,

MOODY COLLEGE OF COMMUNICATION

Azza El Masri is a Ph.D. candidate at the School of Journalism and Media, a graduate research assistant at the Technology & Information Policy Institute, and a graduate research fellow at the Center for Media Engagement.
Her research and work are informed by a commitment to advocating for ethical tech practices and design using participatory and ethnographic research. At TIPI, Azza is primarily involved in the Good Systems Being Watched project, which scrutinizes city regulation and ethical applications of AI-enabled smart city technologies in the United States.
Broadly, her academic endeavors at UT align with a mission to scrutinize the implications of technology–including smart city technologies, social media platforms, and encrypted messaging apps–on vulnerable users in fraught socio-political environments. Her academic work has been published in New Media & Society, Information, Communication, and Society, and the Harvard Kennedy School’s Misinformation Review. She is a Fulbright Program alumna and a graduate affiliate with the Center for Information, Technology, and Public Life (CITAP) at the University of North Carolina, Chapel Hill.

Brad Limov, Ph.D.

POSTDOCTORAL FELLOW,

MOODY COLLEGE OF COMMUNICATION

Brad Limov is a postdoctoral research fellow in media, AI, and ethics at the Technology and Information Policy Institute (TIPI). His work examines how social movements and emerging technologies like generative AI influence media practices and industry norms. This research has focused on communities of practice and how they interact within spaces online and offline at events.  
Brad’s efforts at TIPI primarily fall under the Good Systems Being Watched project, for which he explores similar ethical questions as they pertain to public institutions and the adoption of AI and surveillance technologies. 

Houjiang Liu

PH.D. CANDIDATE,

SCHOOL OF INFORMATION

Houjiang Liu is a doctoral candidate (2021 to present) at the School of Information, UT Austin. Currently, he is advised by professor Matthew Lease in the research group AI & Human-Centered Computing and a graduate student researcher in the Good System project Designing Responsible AI Technologies to Protect Information Integrity. His broad research interest focuses on Human-Centered AI and Design Research, with an emphasis on integrating human-centered principles into AI system design.

Chelsea McCullough 

 PH.D. STUDENT, SCHOOL OF INFORMATION

FOUNDER, DIGI.CITY

Chelsea McCullough (Collier) is a Ph.D. student in the School of Information at the University of Texas at Austin. Her research centers on resident engagement and urban decision-making. She is a graduate research assistant (GRA) for the Smart Hand Tool Project for Good Systems (an interdisciplinary core research program) with a research focus on ethical AI and skilled trade workers. She is also an NSF Research Traineeship Fellow in Ethical AI. Chelsea returns to UT Austin following a career in the private sector which includes founding Digi.City, a forum for social impact and smart(er) cities and serving as a Strategic Advisor for Smart Cities Connect. She is a University of Manchester (UK) Fellow (2019), a Marshall Memorial Fellow (2018) and an Eisenhower Fellow (2016). Her previous experience in government, economic development, social enterprise and tech entrepreneurship informs her cross-sector approach. Her graduate and undergraduate degrees are from the College of Communication at the University of Texas at Austin.

Chandra Bhat, Ph.D.

JOE J. KING ENDOWED CHAIR PROFESSOR IN ENGINEERING,

COCKRELL SCHOOL OF ENGINEERING

Dr. Chandra R. Bhat is the Joe J. King Chair in Engineering at The University of Texas at Austin, where he teaches courses in transportation systems analysis and transportation planning.  He also served as the Director of the Data-Supported Transportation Operations and Planning (D-STOP) Tier 1 USDOT University Transportation Center, the Associate Chairman of the Department of Civil, Architectural and Environmental Engineering, and the Director of the Center for Transportation Research.

Dr. Bhat is recognized nationally and internationally as a leading expert in the area of travel demand modeling and travel behavior analysis.  His substantive research interests include land-use and travel demand modeling, activity-based travel modeling, policy evaluation of the effect of transportation control and congestion pricing measures on traffic congestion and mobile-source emissions, marketing research of competitive positioning strategies for transportation services, use of non-motorized modes of travel, and physical health and transportation. His methodological research interests and expertise are in the areas of econometric and mathematical modeling of consumer behavior, including discrete choice analysis, discrete-continuous econometric systems, and hazard duration models. His methodological works are widely referenced in the economics, marketing, geography, statistics, and transportation fields, and have been included in econometric textbooks and software packages. Many of these works, published as refereed journal papers, have been listed in journals as highly cited papers, and two of his papers were included in a book compilation of the 46 most influential and innovative scholarly papers in the choice modeling field in the past 60 years (the book title is Choice Modelling: Foundational Contributions, 2011, Edward Elgar Publishing Ltd). He also has authored several book chapters focusing on improved methods for choice modeling in general and land use-travel demand modeling in particular. The number of times his work has been cited, as per the Thomson Reuters Web of Science database, is over the 14,200 mark with an h-index of 65. This citation index places him among the top of transportation professors in citations. The number of his citations in the Google Scholar database is over 34,750, with an h-index of 98. Dr. Bhat's research has been funded by the National Science Foundation, the Environmental Protection Agency, the National Institute of Statistical Sciences, State Departments of Transportation, including TxDOT, the Bureau of Transportation Statistics, and the U.S. Department of Transportation.

Sharon Strover, Ph.D.

PHILIP G. WARNER REGENTS PROFESSOR IN COMMUNICATION,

MOODY COLLEGE OF COMMUNICATION

Dr. Strover is the Philip G. Warner Regents Professor in Communication and former Chair of the Radio-TV-Film Department at the University of Texas, where she teaches communications and telecommunications courses and co-directs the Technology and Information Policy Institute. Some of her current research projects examine local and statewide networks and broadband services; the digital divide; rural broadband deployment; telecommunications infrastructure deployment and economic development in rural regions; and Artificial Intelligence issues including social media-based disinformation as well as publicly-deployed technologies. Her most recent publications examine disinformation strategies associated with Russian Facebook ads; local broadband deployment strategies around the world; and the role of broadband in rural regions. Her current undergraduate and graduate teaching addresses communication law and policy, the relationship between technology and culture, and the ethics of artificial intelligence. She has had visiting appointments at several universities around the world including the Chinese University of Hong Kong, Westminster University, Stockholm University, the New University of Lisbon, Aarhus University, among others. Her research has been supported by the U.S. Department of Agriculture’s Rural Utilities Service, the U.S. Federal Communication Commission, the government of Portugal, the Center for Rural Strategies, the European Union, The Appalachian Regional Commission, several State of Texas Commissions and departments, the Institute for Museum and Library Services, Facebook, Google and others.

Peter Stone, Ph.D.

TRUCHARD FOUNDATION CHAIR IN COMPUTER SCIENCE,

COLLEGE OF NATURAL SCIENCES

Dr. Peter Stone holds the Truchard Foundation Chair in Computer Science at the University of Texas at Austin. He is Associate Chair of the Computer Science Department, as well as Director of Texas Robotics. In 2013 he was awarded the University of Texas System Regents' Outstanding Teaching Award and in 2014 he was inducted into the UT Austin Academy of Distinguished Teachers, earning him the title of University Distinguished Teaching Professor. Professor Stone's research interests in Artificial Intelligence include machine learning (especially reinforcement learning), multiagent systems, and robotics. Professor Stone received his Ph.D in Computer Science in 1998 from Carnegie Mellon University. From 1999 to 2002 he was a Senior Technical Staff Member in the Artificial Intelligence Principles Research Department at AT&T Labs - Research. He is an Alfred P. Sloan Research Fellow, Guggenheim Fellow, AAAI Fellow, IEEE Fellow, AAAS Fellow, ACM Fellow, Fulbright Scholar, and 2004 ONR Young Investigator. In 2007 he received the prestigious IJCAI Computers and Thought Award, given biannually to the top AI researcher under the age of 35, and in 2016 he was awarded the ACM/SIGAI Autonomous Agents Research Award. Professor Stone co-founded Cogitai, Inc., a startup company focused on continual learning, in 2015, and currently serves as Executive Director of Sony AI America.

Kristin Bray

BUSINESS PROCESS CONSULTANT,
CITY OF AUSTIN 

Kristin Bray is a Business Process Consultant with the Transportation and Public Works Department in the City of Austin. She supports the Autonomous Vehicle Safety Working Group, an interdepartmental group focused on safe autonomous vehicle deployments. She has been with the City for 11 years, working for Austin Fire, Law Department, and Financial Services Department. Prior to coming to the city, she worked for a non-profit. She graduated with a Bachelor of Arts Degree in International Studies with a focus on International Politics and Diplomacy.

Dev Niyogi, Ph.D. 

PROFESSOR & WILLIAM STAMPS FARISH CHAIR, JACKSON SCHOOL OF GEOSCIENCES

PROFESSOR, COCKRELL SCHOOL OF ENGINEERING

Dev Nioygi is a professor and William Stamps Farish Chair in the Department of Earth and Planetary Sciences, Jackson School of Geosciences, and Department of Civil, Architectural and Environmental Engineering, Cockrell School of Engineering, Affiliate Faculty: Oden Institute for Computational Engineering and Sciences, and UT Center for Space Research. His research focuses on understanding the earth system, specifically the urban environment and agricultural landscapes, and translating the scientific work into decision tools to create more sustainable climate-ready/resilient coastal, cities, and agricultural systems. Prof. Niyogi has coauthored over 200 peer-reviewed papers for international journals, 18 book chapters, and over 150 conference proceedings or abstracts for professional conferences. 

Min Kyung Lee, Ph.D. 

ASSOCIATE PROFESSOR,

SCHOOL OF INFORMATION

Min Kyung Lee is an assistant professor in the School of Information at the University of Texas at Austin. Dr. Lee has conducted some of the first studies that empirically examine the social implications of algorithms' emerging roles in management and governance in society, looking at the impacts of algorithmic management on workers as well as public perceptions of algorithmic fairness. She has proposed a participatory framework that empowers community members to design matching algorithms for their own communities. Her current research on human-centered AI is inspired by and complements her previous work on social robots for long-term interaction, seamless human-robot handovers, and telepresence robots. Dr. Lee is a Siebel Scholar and has received the Allen Newell Award for Research Excellence, research grants from NSF and Uptake, and five best paper awards or honorable mentions in venues such as CHI, CSCW, DIS and HRI. She is an associate editor of the ACM Transactions on Human-Robot Interaction. Her work has been featured in media outlets such as the New York Times, New Scientist, Washington Post, MIT Technology Review and CBS. She received a PhD in Human-Computer Interaction and an MDes in Interaction Design from Carnegie Mellon University.

Emily Norman 

PH.D. STUDENT,

MOODY COLLEGE OF COMMUNICATION

Emily is a third-year Ph.D. student in the Department of Communication Studies at the University of Texas at Austin. Her research lies at the intersection of Organizational Communication, Human Robot Interaction, and Team Science. She is currently a Graduate Research Assistant for Living and Working with Robots – Ethical AI at UT Austin, and will begin her dissertation research this semester. Formerly, she served as an Interdisciplinary Robotics Team Lead on an NSF Growing Convergence Research grant, where she collected data related to transdisciplinary teaming and perceived safety in human robot encounters. She hopes to highlight the importance of both the technical and social aspects of teams performing robotics research, using qualitative research methods and analysis.

Yiming Xu, Ph.D.

POSTDOCTORAL FELLOW,

SCHOOL OF ARCHITECTURE

Yiming Xu is a Postdoctoral Fellow in the School of Architecture at the University of Texas at Austin. He received his B.E. and M.E. degrees in transportation engineering from Tongji University, China in 2016 and 2019, and his Ph.D. in civil engineering from the University of Florida in 2023. His work focuses on developing and applying machine learning methods to tackle challenges in transportation systems. He specializes in trustworthy machine learning and deep learning applications in travel behavior analysis and time series modeling to support urban mobility management and operation.

Angela Haddad 

 PH.D. CANDIDATE,

COCKRELL SCHOOL OF ENGINEERING

Angela Haddad is a Ph.D. candidate in Transportation Engineering at The University of Texas at Austin. Her multidisciplinary research integrates engineering, data science, and social justice principles. She leverages virtual reality and AI to analyze pedestrian behavior and safety, providing insights for infrastructure planning and policy recommendations. Angela's work explores the relationship between neighborhood characteristics and pedestrian safety outcomes, revealing disparities in crash frequencies across communities. She studies automated pedestrian detection technologies and intelligent transportation systems to improve safety for all road users, while examining consumer choice behaviors and transportation access in diverse communities. With publications in top-tier journals, her interdisciplinary approach connects technical solutions with practical applications for transportation planning and urban mobility.

Jennifer Lyon Gardner, Ph.D.

DEPUTY VICE PRESIDENT FOR RESEARCH,

OFFICE OF THE VICE PRESIDENT FOR RESEARCH, SCHOLARSHIP AND CREATIVE ENDEAVORS

Jennifer Lyon Gardner, Ph.D., is UT’s Deputy Vice President for Research and has led research capacity-building efforts at the university since 2008. She designs and implements programming that promotes collaborative research, such as UT’s campus-wide research grand challenge program, Bridging Barriers, and Associate Professor Experimental (APX), a three-day networking and proposal-writing retreat for newly tenured faculty. She also leads the Research Development group, which provides competitive intelligence and proposal development guidance to research teams pursuing major external funding.

Dr. Gardner received her undergraduate degree from Penn State University in chemistry with a minor in English, and she received her Ph.D. in analytical chemistry from The University of Texas at Austin. She was a research-track faculty member at the UT Health Science Center in Houston before returning to UT Austin in 2008 to work in research development.

Before joining the Office of the Vice President for Research, Scholarship, and Creative Endeavors, Dr. Gardner founded the College of Natural Sciences’ Strategic Research Initiatives team and served as its director. She also has served on the Board of Directors for the National Organization of Research Development Professionals (NORDP) and was an inaugural recipient of the organization’s Rising Star Award.

Whitney Nelson 

PH.D. STUDENT,

SCHOOL OF INFORMATION

Whitney Nelson is a PhD student at the University of Texas at Austin, specializing in Human-AI Interaction. Her research explores how AI can support human decision-making, community engagement, and equitable technology design. She is particularly interested in the intersection of AI, policy, and social impact, focusing on ways to bridge technical systems with real-world human needs.

Sharon Strover, Ph.D

PHILIP G. WARNER REGENTS PROFESSOR IN COMMUNICATION,

SCHOOL OF JOURNALISM AND MEDIA

Dr. Strover is the Philip G. Warner Regents Professor in Communication and former Chair of the Radio-TV-Film Department at the University of Texas, where she teaches communications and telecommunications courses and co-directs the Technology and Information Policy Institute. Some of her current research projects examine local and statewide networks and broadband services; the digital divide; rural broadband deployment; telecommunications infrastructure deployment and economic development in rural regions; and Artificial Intelligence issues including social media-based disinformation as well as publicly-deployed technologies. Her most recent publications examine disinformation strategies associated with Russian Facebook ads; local broadband deployment strategies around the world; and the role of broadband in rural regions. Her current undergraduate and graduate teaching addresses communication law and policy, the relationship between technology and culture, and the ethics of artificial intelligence. She has had visiting appointments at several universities around the world including the Chinese University of Hong Kong, Westminster University, Stockholm University, the New University of Lisbon, Aarhus University, among others. Her research has been supported by the U.S. Department of Agriculture’s Rural Utilities Service, the U.S. Federal Communication Commission, the government of Portugal, the Center for Rural Strategies, the European Union, The Appalachian Regional Commission, several State of Texas Commissions and departments, the Institute for Museum and Library Services, Facebook, Google and others.

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