Data Science and Artificial Intelligence (DSAI) Symposium - November 1st, 2024
The University of Colorado Denver is excited to announce the Data Science and Artificial Intelligence (DSAI) Symposium, an event dedicated to exploring the latest advancements and applications in the fields of data science and AI. We invite researchers, practitioners, and students to interact around presentations and discussion during the day of the event.
| Start | End | Event in the Jake Jabs Conference Center, CU Denver Business School | ||
| 7:30 am | 8:30 am | Registration | ||
| 8:30 am | 8:35 am | Welcome | ||
| 8:35 am | 8:45 am | Opening remarks by Phillip De Leon, PhD Associate Vice Chancellor for Research and Chief Research Officer | ||
| 8:45 am | 9:45 am | Keynote :Leveraging human-AI synergies to empower learning By Peter Foltz | ||
| 9:45 am | 10:00 am | Poster Session and Snack Break | ||
| 10:00 am | 11:00 am | Presentation Session: Healthcare and Molecular Informatics |
Workshop: | |
| 11:00 am | 12:00 am | Presentation Session: Business and Education | ||
| 12:00 am | 1:00 pm | Poster Session and Lunch Break | ||
| 1:00 pm | 2:00 pm | Panel : AI in the Public Eye: AI's Dual Impact on Public Service | ||
| 2:00 pm | 3:00 pm | Presentation Session: Foundations, Benchmarking, and Others |
Workshop: BUS-1200 JP Morgan Center for Commodities,CU Denver Business School |
Workshop: BUS-3700, |
| 3:00 pm | 3:15 pm | Poster Session and Snack Break | ||
| 3:15 pm | 3:45 pm | Student Competition | ||
| 3:45 pm | 4:45 pm | Tutorial: Conformal Prediction for Reliable Decision-Making in AI: A Hands-On. By Farhad Pourkamali Anaraki | ||
| 4:45 pm | 5:00 pm | Closing Remarks | ||
| 5:00 pm | 5:15 pm | Break | ||
| 5:00 pm | 7:00 pm | Movie Screening |
Important Dates:
- Abstract Submission Deadline: October 6th, 2024 October 13th, 2024
- Notification of Acceptance: October 11th, 2024 October 16th, 2024
- Last day to register to attend: October 25th, 2024
- Presentation Date: November 1st, 2024 at Jake Jabs Event Center, University of Colorado Denver’s Business School
Location:
Jake Jabs Center, CU Denver Business School
1475 Lawrence Street, Denver CO
2024 DSAI Symposium Registration
The abstracts submitted to present at the symposium will be reviewed and considered for oral presentation and/or poster presentation. The presenters whose abstracts are selected for oral presentation during the main conference will be notified by October 16th. Other presenters will be invited to present their abstract as poster during the poster session, assuming relevance and appropriateness of the topic.
In the registration form, presentations can be submitted under three main tracks which are:
- Research on Data Science and AI Core Foundations and Methods
- Application of Data Science and AI
- Data Science and AI Education
Our goal is to foster a diverse and comprehensive dialogue around the transformative power of data science and AI. We encourage submissions across these categories, but we also welcome quantitative works in other disciplines and applications that are not listed here.
Research on Data Science and AI Core Foundations and Methods
- Advanced Machine Learning Techniques
- Deep Learning Applications
- Predictive Analytics in Business and Industry
- Interpretable and Explainable AI
- Causal Inference and Causal AI
- Counterfactual Analysis in AI
- Reinforcement Learning in Autonomous Systems
- Ethical and Responsible AI Development
- Advanced Econometrics
- Statistical Modeling and Inference
- Quantitative Methods for Decision Making
Application of Data Science and AI
- AI in Business
- AI-driven Decision Support Systems
- AI and Environmental Sustainability
- AI Policy Governance
- AI and Public Health
- Big Data Analytics for Social Impact
- Computational Finance and Algorithmic Trading
- Natural Language Processing and Sentiment Analysis
- Healthcare Analytics and Decision Making
- Cybersecurity and AI-driven Threat Detection
- Smart Cities and Urban Analytics
- AI for Social Good Initiatives
- Generative AI and Its Applications
- AI-driven Innovation in Public Policy and Governance
- Data-driven Solutions in Supply Chain Management
- Theoretical and Practical Applications of Generative AI in Different Businesses
Data Science and AI Education
- Generative AI in Higher Education and Teaching
- Generative AI in Research
To submit a proposal please register!!!
2024 DSAI Symposium Registration
Important Dates:
- Abstract Submission Deadline: October 6th, 2024 October 13th, 2024
- Notification of Acceptance: October 11th, 2024 October 16th, 2024
- Last day to register to attend: October 25th, 2024
- Event: November 1st, 2024
Location:
Jake Jabs Center, CU Denver Business School
1475 Lawrence Street, Denver CO
Directions and Parking
General Chairs
- Dr. Farnoush Banaei-Kashani, FARNOUSH.BANAEI-KASHANI@UCDENVER.EDU
- Dr. Julien Langou, JULIEN.LANGOU@UCDENVER.EDU
- Dr. Meysam Rabiee, MEYSAM.RABIEE@UCDENVER.EDU
Local Co-Chair
- Dr. Meysam Rabiee
Treasurer Chair
- Dr. Julien Langou
Workshop Chair
- Dr. Farnoush Banaei-Kashani
Tutorial Chair
- Dr. Julien Langou
Panel Chair
- Dr. Sandy Zook, SANDY.ZOOK@UCDENVER.EDU
Sponsor Chair
- Dr. Meysam Rabiee
Publicity Chairs
- Dr. Meysam Rabiee,
- Dr. Tulay Flamand, TULAY.FLAMAND@UCDENVER.EDU
- Dr. Sandy Zook
Student Activities Chair
- Dr. Tulay Flamand,
- Mirakle Wright, MIRAKLE.WRIGHT@UCDENVER.EDU
- Vicente Ramos, VICENTE.RAMOS@UCDENVER.EDU
Registration Chair
- Kushal Rao Marneni, KUSHALRAO.MARNENI@UCDENVER.EDU
Webmaster
- Kushal Rao Marneni
Student Volunteers
- Abdel-Hafiz, Mohamed
- Alkaee Taleghan, Samira
- Davoudi, Saeedeh
- Hussein, Sundous
- Mohamed, Weam
- Mousavian, Aylin
- Taha, Maab
- Zohrabi, Mohammadjavad
We are very thankful to our sponsors! The symposium would not have been possible without their generous contributions. Thanks for contributing to supporting the CU Denver data science & AI community!
Our sponsors are:
- The CU Denver Business School,
The CU Denver College of Engineering, Computing and Design,
The CU Denver College of Liberal Arts Sciences,
and The CU Denver Office of Research Services.
Title: Leveraging human-AI synergies to empower learning
By Peter Foltz
Research Professor
Executive Director, NSF
Institute for Student-AI Teaming Institute of Cognitive Science
University of Colorado, Boulder peter.foltz@colorado.edu
http://peterfoltz.me/
When: Friday, November 1st 2024, 8:45 am to 9:45 am
Where: Jake Jabs Center, CU Denver Business School
Session Chair : Dr. Farnoush Banaei-Kashani
Abstract
As AI continues to transform the landscape of education, there is the promise that it can move us beyond traditional paradigms of education, opening doors to innovative practices that enhance learning outcomes for all students. However, the true potential lies not in replacing human roles but in amplifying the capabilities of both educators and learners. In this talk, we will explore how human-AI synergies can empower equitable and impactful learning experiences. The talk will focus on AI-based approaches to assessing and supporting higher-order thinking skills, like communicating, collaborating and critical thinking. The talk will further address how to center ethical considerations, ensuring that human-AI partnerships are designed and implemented in ways that uphold fairness, transparency, and trust.
Biography
Dr. Peter Foltz is a Research Professor at the University of Colorado, Boulder's Institute of Cognitive Science and Executive Director of the National Science Foundation's AI Institute for Student-AI Teaming. His work covers machine learning and natural language processing for educational and clinical assessments, large-scale data analytics, cognitive skills in reading and writing, team collaboration, and 21st Century skills learning. Peter is an experienced leader in academic and industry settings with a history of leading innovative research and development teams resulting in the transition from ideas to proofs of concept to revenue generating products. He was formerly Founder and Chief Scientist at Knowledge Analysis Technologies, which was acquired by Pearson Education and then served as Vice President for Research at Pearson. His work has been covered widely in the press including The New York Times, Time Magazine, NPR, and Science.
Title: AI in the Public Eye: AI's Dual Impact on Public Service
Join us for an engaging discussion as four experts at the intersection of AI and public service share their insights on the dual impact of AI in government. From improving efficiency in public services to navigating the ethical challenges it presents, our panelists will explore both the promise and the pitfalls of AI in the Denver metro area. Get ready to dive into real-world applications, opportunities for second movers (fast followers), and the complexities of leveraging data science for the greater good.
When: Friday, November 1st 2024, 1:00pm to 2:00pm
Where: Jake Jabs Center, CU Denver Business School
Session Chair: Dr. Sandy Zook
Panelists:
Tracy Altman, PhD, Decision Scientist and Co-Founder of Museum of AI
Laura Dunwoody, Director of Resident Engagement, Technology Services, City and County of Denver
Katie Gathright, Innovation Program Manager, Jefferson County
Tyler Svitak, Executive Director, Colorado Smart Cities Alliance
Moderator: Peter Walsh, MPP Student & Innovation Intern, Jefferson County
Title: Conformal Prediction for Reliable Decision-Making in AI:A Hands-On.
By Farhad Pourkamali Anaraki
When: Friday, November 1st 2024, 3:45 pm to 4:45 pm
Where: Jake Jabs Center, CU Denver Business School
Session Chair: Dr. Meysam Rabiee
Abstract
In the rapidly evolving AI landscape, where machine learning models are increasingly entrusted with critical decision-making, the ability to accurately quantify uncertainty has become paramount. Conformal prediction offers an elegant solution, providing statistically rigorous uncertainty estimates for model predictions without requiring any internal modifications. As conformal prediction gains traction in both academia and industry, with applications spanning medicine, robotics, and finance, this hands-on tutorial provides an introduction to its core algorithms and practical implementations, along with a review of key recent advancements. This tutorial is designed to be interactive. All materials, including code and examples, will be available in a Jupyter notebook format, accessible via platforms like Google Colab, allowing for easy experimentation and deeper learning.
Biography
Farhad Pourkamali Anaraki is an Assistant Professor of Mathematical and Statistical Sciences at the University of Colorado Denver. Previously, he served as an Assistant Professor in the Department of Computer Sciences at the University of Massachusetts from 2018 to 2022. He has been recognized with the Visiting Faculty Research Program (VFRP) award from the Air Force Research Lab and the Best Paper Award from the IEEE International Conference on Machine Learning and Applications. His research primarily focuses on applying mathematical principles to develop rigorous, adaptive, and computationally efficient machine learning methods that can tackle challenges posed by high-dimensional, noisy, multi-modal, and temporal datasets.
When: Friday, November 1st 2024, 3:15 pm to 3:45 pm
Where: Jake Jabs Center, CU Denver Business School
Session Chair: Vicente Ramos
The top 10 participants are:
| Rank | Teams | |||
| member 1 | member 2 | member 3 | member 4 | |
| 1 | Elyas Larfi | Ridwan Mohamud | - | - |
| 2 | Yahya Hamu | Reem Saidmaeruf | Luqman Abdurshid | Zahra Abdullahi |
| 3 | Saeedeh Davoudi | - | - | - |
| 4 | Emanuel Herrera | Alan Delgado | Yucheng Zhang | Chloe Ha |
| 5 | Hung Nguyen | - | - | - |
| 6 | Dylan Phoutthavong | Cynthia Sor | Jonathan Le | Tien Nguyen |
| 7 | Anjana Nallanagula | - | - | - |
| 8 | Darya Vojjina | - | - | - |
| 9 | Saurav Avinash Changde | Sai Ram Yashwanth Lakkoju | Sai Srikar Emani | - |
| 10 | Rana Saidmaeruf | - | - | - |
We invite students from Auraria Campus institutions to participate in The Decoy Challenge, a student competition on manipulation of AI models.
Details and sample code are now available at
http://decoychallenge.ucdenver.pvt
Note: You will need to be on the school network or connected via VPN for access. Some users may see a certificate warning when using HTTPS. Feel free to proceed with accepting the certification; it is safe!
An information session on the challenge will be held on October 10th; see the flyer below!
Below listed is the schedule for the workshops
| Start | End | Event | Location |
| 10:00 am | 1:00 pm | Workshop: An Interdisciplinary Workshop on Global Disinformation | BUS- 3100, CU Denver Business School |
| 2:00 pm | 3:15 pm | Workshop: Data Analytics with ChatGPT | BUS-1200 JP Morgan Center for Commodities, CU Denver Business School |
| 2:00 pm | 5:00 pm | Workshop: Generative AI Applications in Teaching | BUS-3700, CU Denver Business School |
Below are the accepted presentations
Session 1: Healthcare and Molecular Informatics
Session Chair: Peter Dewitt
| Title | Presenter | School/Department | |
| Presentation 1 | Customizing GPTs for the molecular sciences while minimizing hallucinations | Scott Reed | CU Denver, Chemistry |
| Presentation 2 | Predicting Intracranial Pressure Monitor Placement in Children with Traumatic Brain Injury | Seth Russell | CU Anschutz, School of Medicine |
| Presentation 3 | Development of the Phoenix Criteria for Pediatric Sepsis and Septic Shock | Peter DeWitt | CU Anschutz,School of Medicine |
| Presentation 4 | Learning Vocabulary Selection for Expressive Fragmentation-based Molecule Generation in Small-Data Regime | Yuto Suzuki | CU Denver, Computer Science and Engineering |
Session 2: Business and Education
Session Chair: Dr. Tulay Flamand
| Title | Presenter | School/Department | |
| Presentation 1 | Data Science and Analytics to Model and Disrupt Illegal Supply Chains | N. Orkun Baycik | Denver University, Business information and Analytics |
| Presentation 2 | Data Science Degree Programs at CU Denver | Joshua French | CU Denver,Mathematical and Statistical Sciences |
| Presentation 3 | The Effect of Economic Injury Disaster Loans on the Number of Businesses by Industry from 2020 to 2023 | Rafael Perez | Colorado Mountain College, Business |
| Presentation 4 | Mapping Global Supply Chain Networks: A Data-Driven Approach to Traceability, Vulnerability, and Sustainability | Kemalcan Aydogdu | Colorado School of Mines, Mining Engineering |
Session 3: Foundations, Benchmarking and Others
Session Chair: Adam Spiegler
| Title | Presenter | School/Department | |
| Presentation 1 | Uncertainty about Uncertainty Analysis: Using Dirichlet Process to robustly generate Global Sensitivity index distributions. | Michael T. Schmidt | CU Denver, Mathematical and Statistical Sciences |
| Presentation 2 | Bayesian learning-based sparse arbitrary polynomial chaos expansion applied to global sensitivity analysis | Isabel Corona Guevara | CU Denver, Mathematical and Statistical Sciences |
| Presentation 3 | Public Safety Object Segmentation and Classification from Point Cloud City | Doga Cagdas Demirkan | Colorado School of Mines, Mining Engineering |
| Presentation 4 | Reevaluating Crowd Dynamics: Using Data Science Approach to Understanding Stampede Incidents and the Role of Acute Stress Reaction | Nilofar Varzgani | La Salle, Business Systems & Analytics |
Below are the list of accepted Posters
| Title | Presenter | School/Department | |
| Poster 1 | Semi-Supervised Multi-Source Sea Ice Classification | Samira Alkaee Taleghan | CU Denver, Computer science and engineering |
| Poster 2 | 4D Data Analysis for Efficient Drug Discovery, Advancing Health Informatics with Data-Driven Solutions | Aylin Mousavia | CU Denver, Computer science and engineering |
| Poster 3 | Immutable Shoutbox built by AI | Colin McCabe | |
| Poster 4 | Learning Multi-Omics Manifold for COPD: A Foundational Model for Effective Disease Subtyping, Prediction, Progression Analysis and Therapeutic Intervention | Sundous Hussein | CU Denver, Computer science and engineering |
| Poster 5 | EC-Benchmark: A Benchmark Tool for Enzyme Commission Number Prediction Task | Saeedeh Davoudi | CU Denver, Computer science and engineering |
| Poster 6 | A Predictive Approach for Assessing Bike Safety in the City and County of Denver | Rumana Sultana | CU Denver, Computer science and engineering |
When: Friday, November 1st 2024, 5:00 pm to 7:00 pm
Where: Jake Jabs Center, CU Denver Business School
Session Chair: Dr. Meysam Rabiee
The Thinking Game
Chronicles the creation of one of the world's most prominent AI labs, where visionary scientist Demis Hassabis and his team are on a relentless quest to solve the enigma of artificial general intelligence (AGI). Filmed over five years, the film captures the moment when Hassabis and his team make history with AlphaFold, a groundbreaking program that solved a 50-year grand challenge in biology. AlphaFold is already having a global impact by accelerating the development of revolutionary new drugs and paving the way for future advances in science. The Thinking Game captures the exhilaration of historic breakthroughs like AlphaFold, the crushing weight of disappointment during setbacks, and the relentless pursuit of knowledge that defines Demis' unwavering commitment to scientific innovation. This film invites viewers to witness one of the most important scientific adventures of our time, exploring the potential of AGI to reshape our world
