Skip to main content
NC State Home
Data Science and AI Academy
Sharefair Promotional Image

Data Science and AI Education Share Fair

From Classroom to Conference: Share Your Work with DSA

What is the Share Fair Conference?

The Data Science and AI Education Share Fair is an in-person, student-led showcase of projects from DSA courses—whether completed or still in progress.

Rooted in the ADAPT (All-Campus Data Science and AI Project-Based Teaching and Learning) model, the Share Fair demonstrates how students apply data science in real-world contexts while strengthening communication, collaboration and professional skills.

At this year’s event, students will present digital posters at Hunt Library and receive feedback from instructors, peers and DSA staff in a collaborative setting.

Learn more about the ADAPT model

Showcase Your Project

Present your DSA course project—finished or in progress—as a digital poster at the 2026 Share Fair.

Connect with the DSA Community

Get real-time feedback and network with peers, instructors and professionals.

Build Your Resume and Portfolio

Highlight your data science experience and presentation skills with a professional showcase.

Learn More About ADAPT

The ADAPT model is DSA’s project-based framework for teaching data science and AI, designed to bring real-world problem-solving into every classroom.

2024-2026 Share Fair Archive

2026 Event Recording

Full Event Recording

Watch the 2026 Data Science and AI Education Share Fair!

WATCH VIA VIMEO

2025 Event Recordings and Materials

Opening Remarks, The History of ADAPT, and Group Discussion

Opening Remarks from Rachel (Ray) Levy, Executive Director, Data Science and AI Academy

Event Overview by the DSA postdoctoral cohort: Kelsey Virginia Dufresne, Tom R. Leppard, Jeanne McClure and Zarifa Zakaria

Overview of the ADAPT model by DSA’s Sunghwan Byun and David Stokes

Q & A session moderated by DSA’s Kelsey Virginia Dufresne

WATCH VIA VIMEO

Student Presentations Session 1: Workforce Preparedness

See real-world examples of successful data science and AI final projects and witness how the ADAPT model is applied through their work.

Presenters: 
Justin Huang
Mannaka Green
Anna Doo 

Moderator:
Jeanne McClure

WATCH VIA VIMEO

Student Presentations Session 2: 10 Common Learning Elements 

See real-world examples of successful data science and AI final projects and witness how the ADAPT model is applied through their work.

Presenters:
Soumya Pannala
Velma Shang
Frances LeMond-Glasser

Moderator:
Kelsey Virginia Dufresne

WATCH VIA VIMEO

Student Poster Presentations

View the detailed poster presentations provided by our 2025 student presenters.

ACCESS 2025 STUDENT POSTERS

The History of ADAPT

View and share a slideshow presentation on the history of the ADAPT model and its implementation.

ACCESS SLIDES

Post-Event Discussion Questions

Host an asynchronous workshop on ADAPT using these discussion questions curated by the DSA National Science Foundation Postdoctoral Cohort.

ACCESS DISCUSSION QUESTIONS

2024 Event Recordings

Welcome & Keynote Speaker

Introduction for the event and Keynote Speaker, Sunghwan Byun and David Stokes.

WATCH VIA VIMEO

Rapid Fire Presentations

Breakout rooms focused on the 3 parts of the ADAPT Model: Project-Based Learning, the 10 Learning Elements and Identity-Conscious Choices.

WATCH VIA VIMEO

Student Presentations

Two students provide their perspective about their experience learning via the ADAPT Model.

WATCH VIA VIMEO

Presentations and Guided Activities

Three breakout rooms focused on ways to implement the ADAPT model in the classroom.

WATCH VIA VIMEO

Please cite this work using CC-BY-NC-ND 2022