Data Science and Artificial Intelligence (DSAI) Symposium - November 1st, 2024
These tabs are under development. Content will be updated soon.
| Start | End | Event |
| 7:30 am | 8:30 am | Registration |
| 8:30 am | 8:35 am | Welcome |
| 8:35 am | 8:45 am | Opening remarks by UCD Admin |
| 8:45 am | 9:45 am | Keynote |
| 9:45 am | 10:00 am | Coffee Break |
| 10:00 am | 11:00 am | Presentation Session: Research on Data Science and AI Core Foundations and Methods |
| 11:00 am | 12:00 am | Presentation Session: Application of Data Science and AI |
| 12:00 am | 1:00 pm | Lunch Break |
| 1:00 pm | 2:00 pm | Panel |
| 2:00 pm | 3:00 pm | Presentation Session: Data Science and AI Education |
| 3:00 pm | 3:15 pm | Coffee Break |
| 3:15 pm | 3:45 pm | Student Competition |
| 3:45 pm | 4:45 pm | Tutorial |
| 4:45 pm | 5:00 pm | Closing Remarks |
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
Registration Chair
- Kushal Rao Marneni, KUSHALRAO.MARNENI@UCDENVER.EDU
Webmaster
- Kushal Rao Marneni
Keynote details will be posted here.
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, 01:00pm to 02:00pm.
WHERE: Jake Jabs Center, CU Denver Business School
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.
WHEN: Friday, November 1st 2024, 03:45 pm to 04:45 pm.
WHERE: Jake Jabs Center, CU Denver Business School
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.
To Learn more about our workshops follow the below links.
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!
Welcome 2024 Data Science and Artificial Intelligence (DSAI) Symposium
The University of Colorado Denver is excited to announce the Data Science and Artificial Intelligence 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 submit their work for presentation and discussion.
Please save the date and stay tuned for more details on our keynote speaker, panel, Tutorial, workshops, and other activities as we approach the symposium.
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
We look forward to your contributions and to seeing you at the symposium!
Sincerely,
DSAI Organizing Committee
University of Colorado Denver