Intermediate

ChatGSPP: Building an AI Assistant for Website Navigation and Academic Program Information

kaylal — Tue, 20 May 2025 06:24:28 +0000

ChatGSPP: Building an AI Assistant for Website Navigation and Academic Program Information kaylal Mon, 05/19/2025 - 23:24 ChatGSPP is an AI-powered chatbot developed by the Goldman School of Public Policy that intelligently navigates information about our faculty, staff, programs, and research initiatives. This interactive demo will showcase how we've implemented a conversational interface that analyzes user queries, retrieves appropriate content from our existing web resources, and delivers responses with proper source attribution. The session will demonstrate how the chatbot serves diverse stakeholders including prospective students, policy professionals, researchers, and policymakers seeking to engage with our institution. Learn about our technical architecture, implementation challenges, and how this tool has enhanced user experience by making complex academic information more accessible through AI-assisted navigation.

Darrian Hall

IT Director at UC Berkeley

Darrian Hall is an experienced IT Director at UC Berkeley's Goldman School of Public Policy, where he leads strategic IT operations, cybersecurity initiatives, and infrastructure management. His expertise spans cloud computing platforms such as AWS, Azure, and GCP, advanced Linux systems administration, virtualization, and robust cybersecurity policy implementation.

With a passion for technology leadership, Darrian actively mentors IT professionals and develops cross-functional collaborations across campus departments, including research and instructional technology teams. His technical skill set includes programming in Python, Bash, Elixir, and PowerShell, and he regularly automates complex workflows through scripting and infrastructure-as-code solutions.

Darrian holds a Bachelor’s degree in Business Administration with a minor in Communication from Cal Poly Humboldt. In addition to his technical role, he dedicates time to AI-driven software development (e.g., ChatGSPP), specifically around predictive modeling and algorithmic quantitative analysis.

Connect with Darrian via LinkedIn or explore his coding projects on GitHub.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

This presentation showcases our current ChatGSPP AI (RAG) implementation, which serves as the foundation for our larger AI initiative, Project Oz (a collaboration between the Goldman School of Public Policy and the Public Policy Institute of California). ChatGSPP represents Phase 1 of our roadmap toward a more comprehensive AI-powered platform for democratizing access to California public policy data and educational resources on a global scale.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

EH C

No-Code AI in Action: Digital Transformation for Higher Education

kaylal — Tue, 20 May 2025 06:23:50 +0000

No-Code AI in Action: Digital Transformation for Higher Education kaylal Mon, 05/19/2025 - 23:23

RSS has developed an innovative AI-driven, no-code, cloud-based platform to revolutionize digital transformation, addressing compliance requirements like accessibility and cyber security. The platform combines no-code development, AI automation, predictive analytics, and natural language data querying. It enables rapid development of web and native mobile solutions. This poster will showcase: • No-code features like form builder, workflows, roles and permissions, and dashboards • Faster solution development without coding • Real-world examples of improved user experiences Attendees will learn about: • Accelerating digital transformation • Enhancing decision-making with AI analytics • Improving accessibility compliance • Partnership opportunities with RSS Join us to explore how RSS is reshaping software development by creating more efficient, flexible, and intelligent solutions.

Russell Ilejay

Senior Product Manager at UC Davis

Senior Product Manager with over 5 years of experience delivering risk and safety solutions, with a focus on product innovation, operational efficiency, and user-centric design. I currently lead product strategy and development for a suite of 40 software applications supporting the University of California’s Risk Management and Environmental Health & Safety (EH&S) divisions.

In my current role, I’ve driven the transformation of our platform into a no-code solution, enabling greater flexibility and scalability to meet diverse business requirements and workflows. I’ve also integrated AI capabilities to streamline processes, improve decision-making, and enhance overall efficiency.

My background includes experience in healthcare, specifically within environmental health and safety, providing a strong foundation in regulatory compliance and workplace safety standards. I’m passionate about building adaptable, future-ready solutions that empower users and support mission-critical operations.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

This presentation covers RSS's 18-year journey from building systemwide enterprise applications to developing a no-code, AI-powered platform for digital transformation. The new platform enhances business digital transformation in higher education by using no-code features, AI-driven automation, predictive analytics, and natural language data querying. It allows rapid development of web and mobile solutions without coding expertise, making technology accessible to all users. Attendees will learn how AI streamlines workflow, improves decision-making, and addresses business transformation in higher education, showcasing emerging trends in AI-powered technology.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

EH C

A Data-Driven Approach to Wildfire Health Risk Mitigation

kaylal — Tue, 20 May 2025 06:23:01 +0000

A Data-Driven Approach to Wildfire Health Risk Mitigation kaylal Mon, 05/19/2025 - 23:23 Our team needed to integrate diverse data streams to dynamically identify patients at risk and proactively distribute tailored resources to empower them to protect their respiratory health. Our team needed to identify when high risk patients with respiratory conditions were experiencing poor air quality caused by wildfire smoke. We worked collaboratively with clinical subject matter experts (SME) to define the appropriate target patient population and air quality thresholds. Three wildfire MyChart letter templates were developed, each providing actionable recommendations, which was developed locally by SME’s. A Tableau Wildfire Alert Report was created and is linked to the Epic workbench reports. Occasional data inaccessibility from upstream sources (EPA, NASA) required process reruns. This pilot program demonstrated the potential of the wildfire alert system to improve patient care during wildfires, with future efforts focusing on optimizing the system's accuracy and scalability.

Matthew Crase

Supervisor of Clinical Informatics at UC Davis Health

Matthew Crase is the Supervisor, Clinical Informatics in the Office of Population Health and Accountable Care and has been at UCDH since 2019. Before taking on this role, Matthew came to UC Davis as a member of the Quality Initiatives and Reporting in the Quality and Safety Department at UCDH. His focus at Quality and Safety was direct technical support for the Quality Initiative Program (QIP). Matthew brings a quality background to his current position; prior he worked for over eight years at the California Correctional Health Care Services for the Quality Management department. He has a BA in Political Science from UC Santa Barbara. Matthew has consistently utilized data-driven approaches throughout his career to foster support and implement enduring changes that significantly benefit patients.

Andrew Wong

Clinical Informaticist IV at UC Davis Health

Andrew Wong is a Clinical Informaticist at UC Davis Health, where he plays a vital role in advancing data-driven healthcare solutions that support population health and accountable care initiatives. Andrew holds a master’s degree in mathematics, providing a strong foundation for his analytical approach to problem solving, and previously held a position with the state of California overseeing the data integrity of the Medi-Cal managed care program. In his current role, Andrew applies his expertise as an analytics engineer, helping to transform complex data into actionable insights that improve patient outcomes and operational eDiciency. His work exemplifies the UC Tech 2025 theme—"Innovate. Integrate. Inspire."—by leveraging technology to bridge gaps in healthcare delivery, integrating novel data into informatics solutions to enhance patient support initiatives, and inspiring teams to adopt a data-informed culture that drives innovation within the UC Davis Health system.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Health Sciences

Session Track Reasoning

Large-scale wildfires can significantly contribute to poor air quality during active fire events through the release of various pollutants. Our patient population is directly affected by these wildfires and the increase in poor air quality, especially those diagnosed with Asthma or Chronic Obstructive Pulmonary Disease (COPD). This project sought to create an intelligent alert system using both internal (Electronic Health Record (Epic)) and external (Environmental Protection Agency (EPA) and National Aeronautics Space Administration (NASA)) data sources to support patients with respiratory conditions during wildfires.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

EH C

APeX Enabled Research

kaylal — Tue, 20 May 2025 06:17:08 +0000

APeX Enabled Research kaylal Mon, 05/19/2025 - 23:17 This poster will highlight the impact of the APeX Enabled Research (AER) team on implementing clinical and technical innovations at UCSF. The poster will explain the primary goals of the team, volume of project work, and breadth of technologies used to support research innovation. Ideally UC Tech attendees will learn more about what is technically possible today to support research, get inspiration for projects at their organization, get connected with others doing similar work, and lead to future collaboration and innovation across UC campuses. The AER team has supported dozens of research implementations over the last six years and would love an opportunity to share our learnings with the UC Tech community.

Jory Purvis

APeX Enabled Research - Technical Lead at UC San Francisco

Jory Purvis is the Technical Lead for the APeX (Epic) Enabled Research Team at the University of California, San Francisco. He and his team support the full research project lifecycle—from initial study design, scoping, and budgeting to grant submissions and ongoing implementation. Their work includes developing innovative Epic configurations, supporting multi-site study implementations, and enabling external system integrations to advance clinical research across institutions.

Jassmine Vansise

APeX Enabled Research Build Analyst at UC San Francisco

The APeX Enabled Research (AER) team at UCSF supports researchers in utilizing UCSF's Epic instance to advance their research and clinical trials. In my role as an AER Build Analyst, I work closely with researchers to implement their algorithms, digital tools, and interventions within APeX. I collaborate with teams across UCSF and external sites to develop tailored technical solutions—from disease registries and clinical detection tools to SMART on FHIR integrations, SQL queries, and custom workflows. The work the AER team does aims to bridge the gap between the research and health systems, implementing technology to support data-driven clinical innovation and outcome evaluation.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Health Sciences

Session Track Reasoning

The APeX Enabled Research team support the implementation of research projects within the EMR environment. Our team is consistently helping test new clinical and technical innovations in a real-world environment. This includes new therapies, processes, AI models, and integration of new technologies into the clinical workflow.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

EH C

Migrating an On-Prem Learning Management System to AWS with Infrastructure as Code

kaylal — Tue, 20 May 2025 06:13:23 +0000

Migrating an On-Prem Learning Management System to AWS with Infrastructure as Code kaylal Mon, 05/19/2025 - 23:13 In this session, we will share our experience migrating our Learning Management System from on-premises to AWS. We will walk through designing a scalable and secure cloud infrastructure using CloudFormation, automating deployments with AWS CodePipeline, orchestrating containers with ECS Fargate, and managing databases with Amazon RDS. The migration process involved moving code via GitHub, files with AWS DataSync, and the database through DBMS export/import. We will also discuss how adopting ECS Fargate enabled environment consistency between local development and production, leveraging Docker for improved efficiency and deployment reliability. Additionally, we will highlight the role of AWS ECR in enhancing security and operational efficiency throughout the migration.

Nir Shemer

Application Programmer at UCLA Health

I have a background in web development and system administration, with technical skills of projects involving cloud computing, automation, and security. I've worked with various technologies, including AWS, Docker, and PHP frameworks, to deliver solutions that meet customer needs. My experience has taught me the importance of collaboration and eﬀective problem-solving in IT projects.

Sideok You

Application Programmer at UCLA Health

Sideok You is an application programmer at UCLA Health, specializing in web application development, system integration, and cloud-based infrastructure. He has extensive experience working with PHP frameworks and AWS services. His work includes leading application migrations, optimizing CI/CD pipelines using GitHub Actions, and improving system performance through scalable architecture and automated deployment. He emphasizes security-focused development and contributes to large-scale digital initiatives at UCLA Health.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

This presentation covers key cloud infrastructure topics such as AWS CloudFormation, ECR, ECS Fargate, RDS, EFS, and CodePipeline, along with best practices for automation, scalability, and security. Attendees will gain valuable insights into building a secure and efficient cloud-based system.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

EH C

Using A Chatbot as an Instructional Design Tutor

kaylal — Tue, 20 May 2025 06:11:05 +0000

Using A Chatbot as an Instructional Design Tutor kaylal Mon, 05/19/2025 - 23:11 Our Instructional Design and Technology team was tasked with tracking learning objective achievement in Extension courses to support WASC accreditation. Canvas offers an "Outcomes" feature, but WASC also requires instructors to reflect on how their course design supports student success. While staff could help instructors brainstorm improvements, a more scalable method was needed. We developed a chatbot using Playlab, enabling instructors to input course titles and design elements they do or do not support (e.g., variety of assignments, social presence, use of media, rich feedback, real-world examples, collaboration, accessibility). The chatbot responds with strategies to improve teaching, assessment, or student engagement. Instructors then add their selected strategy to a checklist, which we track for WASC compliance. Afterward, they’re invited to learn how to build their own chatbots, promoting the integration of AI into teaching and learning at Extension.

Ann Kwinn

Director of Instructional Design and Quality Control at UC Riverside

Dr. Ann Kwinn is the Director of Instructional Design and Quality Control for UC Riverside Extension, overseeing the online learning function, pedagogy, instructor support and special projects such as promoting the use of AI in education. Prior to joining UCR, she was a faculty member and Director of Instructional Strategy for Azusa Pacific University. Ann is the co-author, with Ruth Clark, of the Pfeiffer book, The New Virtual Classroom, and has written numerous articles. She has developed and taught many courses for corporate and higher education settings and has spoken at many conferences. Ann holds a Ph.D. in Instructional Technology from the University of Southern California, was a research fellow at the Educational Testing Service and is on an advisory board for UC Irvine, Extension.

Session Format

Poster

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Teaching, Learning, and Student Success

Session Track Reasoning

This session belongs in the Teaching, Learning and Student Success track because this is the focus of all that we do in the Instructional Design and Technology department. Any other technical concern is handled by our technical services department. Our client is our instructors and we work every day to improve their teaching by making them better course designers, better tool users and helping them understand the needs of their students. We strive for student success by improving the learning experiences.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

EH C

Empowering Faculty in the AI Era: Real Stories, Practical Tools, and How AI Can Transform Learning Ethically

Anonymous — Fri, 28 Mar 2025 06:06:01 +0000

Empowering Faculty in the AI Era: Real Stories, Practical Tools, and How AI Can Transform Learning Ethically Anonymous (not verified) Thu, 03/27/2025 - 23:06 As generative AI rapidly reshapes higher education, faculty are looking for real, ethical, and practical ways to adapt. This session offers a firsthand look at how interdisciplinary courses at UCLA have successfully integrated AI—from biomedical sciences to humanities—while preserving academic integrity and improving student engagement. Attendees will explore proven strategies, tools, and frameworks used to empower faculty, redesign assignments, and support students in becoming critical users of AI. Whether you’re new to AI or leading the charge, this session delivers actionable ideas to help you teach more effectively, ethically, and with confidence in this new era.

Tina Austin

AI & Ethics Consultant, Lecturer at UC Los Angeles

Tina R. Austin is an educator and AI strategist who has spent decades teaching and consulting in higher education. Since 2022, she has been at the forefront of integrating AI into classrooms, teaching both graduate and undergraduate courses that span bioethics, regenerative medicine, social sciences, and gender studies. In addition to her teaching, she collaborates with colleges and universities worldwide as an AI consultant, helping educators and institutions navigate the evolving landscape of AI in education. Tina has led faculty development workshops across the country and was recently named one of ASU+GSV’s 2025 Leading Women in AI. Her mission is simple: to empower educators and students to use AI confidently, creatively, and responsibly.

www.linkedin.com/in/tinaaustin

Tina@tinaaustin.com

Session Files

ai-in-higher-ed_-whats-changing-what-no-one-is-talking-about-ucla-teaching-learning-center.pdf (534.8 KB)

Session Format

Standard Presentation

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

This session fits perfectly within the Innovation and Emerging Technologies track because it highlights how generative AI is being used to enhance interdisciplinary teaching across STEM, humanities, and health sciences courses in higher education. Drawing from my experience integrating AI tools ethically in multiple UCLA classrooms, I will share firsthand examples of how this technology can support both faculty and students—while maintaining academic integrity and inclusive practices. The session bridges innovation with pedagogy, demonstrating how emerging tools can be implemented thoughtfully and responsibly in diverse educational contexts.

June 26, 2025 @ 3:00 pm - June 26, 2025 @ 3:45 pm

RC B

Smarter, Faster, Better: How UC San Diego Health is Using AI to Save Time and Money

Anonymous — Fri, 28 Mar 2025 05:39:19 +0000

Smarter, Faster, Better: How UC San Diego Health is Using AI to Save Time and Money Anonymous (not verified) Thu, 03/27/2025 - 22:39 UC San Diego Health is reimagining how healthcare systems operate by integrating artificial intelligence, automation, and real-time dashboards to improve efficiency, reduce costs, and support high reliability. This session shares how our Clinical Quality Improvement and Patient Safety teams partnered with data and technology experts to streamline manual processes—such as quality measure abstraction and CMS reporting—through the use of large language models and smart dashboards. Attendees will gain practical insights into how these tools were implemented, how change was managed across clinical and IT teams, and the measurable outcomes that followed. This is a real-world case study in transforming complexity into clarity, and data into action.

Nicholas Hilbert

Director of Quality and Patient Safety at UC San Diego Health

Nick Hilbert, MSN, RN, is the Director of Quality and Patient Safety at UC San Diego Health. His passion for technology began early, working at a small-town computer store in rural Iowa— now he leads system-wide efforts focused on data, AI, process improvement, and Lean strategies to improve outcomes across the health system. He and his teams have helped UC San Diego Health achieve top national rankings by building dashboards, automation tools, and scalable systems that reduce burden and enhance care delivery. A co-author in The New England Journal of Medicine and Governor of the College of AI & Medicine (California Chapter), Nick’s work lives at the intersection of people, process, culture, tech, and AI — shaping a future driven by smart systems and #AIforGood.

Session Format

Standard Presentation

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

This session demonstrates how UC San Diego Health is leveraging emerging technologies—specifically artificial intelligence, automation, and dashboard design—to solve longstanding operational challenges in healthcare. By streamlining manual, resource-intensive processes and making data more actionable, we've seen measurable improvements in both efficiency and cost reduction. The session aligns with this track by illustrating how innovative tools can be thoughtfully integrated into complex systems to drive meaningful, scalable transformation—lessons that are relevant across disciplines and campuses.

June 27, 2025 @ 10:45 am - June 27, 2025 @ 11:30 am

RC D

From SSIS to DBT: A Modern Approach

Anonymous — Fri, 28 Mar 2025 04:28:57 +0000

From SSIS to DBT: A Modern Approach Anonymous (not verified) Thu, 03/27/2025 - 21:28 The previous SSIS/Python ETL was viewed as antiquated, disjointed and problematic for maintenance and reliability. A modern embedded data solution centered around a user defined data mart which would act as the catalyst for driving informed decision making and supporting prioritized initiatives from executive leaders was seen as the solution. There were two sets of goals, create a self-service data layer for ad hoc questions, a recurring reporting solution and support KPI metric dashboards. The team sought a democratized solution, rapid cycle improvement, scalability, and ability to move from on-prem to cloud when the time came. The solution that stood out was dbt, chosen for its data transformation capabilities. We have successfully created more than a dozen gold-level tables in our production environment with an increase in efficiency and reliability since implementing the open-source solution. The result has improved collaboration, change tracking and version control via Git.

Andrew Wong

Clinical Informaticist IV at UC Davis Health

Matthew Crase

Supervisor of Clinical Informatics at UC Davis Health

Session Format

Standard Presentation

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Systems and Solutions: Enterprise Infrastructure, Data, Research Computing and Support

Session Track Reasoning

The work that the Clinical Informatics team focuses on for the office they support is centered around data driven decision making. As a team which is embedded with their immediate customers, we focus on making data easy to access and use, weather that is through self-service tools or data visualization using Power BI. We have generated technical infrastructure where previously there was none, or it was outdated and archaic.

June 26, 2025 @ 4:00 pm - June 26, 2025 @ 4:45 pm

RC C

Scaling a VERSAtile AI-Powered Platform for Research, Healthcare, Education, and Administration

Anonymous — Fri, 28 Mar 2025 04:12:16 +0000

Scaling a VERSAtile AI-Powered Platform for Research, Healthcare, Education, and Administration Anonymous (not verified) Thu, 03/27/2025 - 21:12 Versa, developed by our AI Tiger Team, is an enterprise-scale AI platform. Meant to secure access to frontier generative-AI (gen-AI) technologies, Versa enhances operations by streamlining text-based workflows for thousands of users. Versa is a platform of products: Versa API supports advanced AI research demands with protected clinical and business data; chatbot-style interactions with LLMs via Versa Chat and Versa Mobile, and our Versa Assistant RAG-based service supports development of dedicated, AI-powered interfaces for protected datastores, knowledgebases, and enterprise content. To date, the AI Tiger Team has scaled our gen-AI education series and user community to over 6,000 users. The Versa platform carries over 2,000 monthly users of Versa Chat, 20-100 Versa API users per month, and numerous departments and teams have developed more than 50 Versa Assistants addressing a wide range of AI-enabled use cases.

Joseph Owens

Enterprise AI Product Leader at UC San Francisco

Joe Owens, PhD, serves as Product Leader for Enterprise AI Platforms & Infrastructure at UCSF, where he guides teams in developing and deploying artificial intelligence tools across the institution's health, education, research, and administrative missions. Drawing from his neuroscience and biomedical engineering background, he previously led product development for digital health platforms and clinical-grade wearables at Verily Life Sciences and Alphabet, and served as an entrepreneur in residence at Google[x]. After beginning his commercial career as a management consultant at McKinsey & Company, he has dedicated his work to combining his clinical and engineering research expertise with servant-leader driven product mindset to improve healthcare through thoughtful use of technology.

Victor Galvez

Director EIA at UC San Francisco

Victor Galvez is Director of Integration, Data Platforms, and AI at UCSF. He leads enterprise integration, analytics infrastructure, and UCSF’s internal generative AI platform, UCSF Versa. With over 20 years in healthcare IT, he oversees real-time data exchange, data warehousing, and secure AI deployments that support UCSF’s clinical, research, and education missions. Victor played a key role in launching UCSF Versa, which enables UCSF users to safely leverage AI for productivity, automation, and decision support. He is focused on building scalable, compliant, and mission-aligned technologies across the UC system.

Session Format

Standard Presentation

Session Skill Level

Intermediate

Session Status

Accepted

Session Track

Innovation and Emerging Technologies

Session Track Reasoning

Developing and scaling generative AI tools across all mission areas of a healthcare, research, and educational UC requires continuous adapting to once in a generation speed technological landscape. Transformationally powerful new AI technologies are released on a monthly basis, requiring rapid adaptation and unquenchable user demand. When every aspect of what the team is building is new, this sits squarely in the Innovation track but is also a new way of building scalable Systems and Solutions in a rapidly changing landscape.

June 26, 2025 @ 1:00 pm - June 26, 2025 @ 1:45 pm

MR 7