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⚡ APPLICATIONS NOW OPEN · MAY 22-23, 2026 · OPEN TO ALL UNIVERSITIES · 24-HOUR EVENT · FREE TO ENTER · PRIZES AWARDED · TEAMS MIN 4 MEMBERS · NO EXPERIENCE REQUIRED · DATA SCIENCE · ML · CV · NLP · ⚡ APPLICATIONS NOW OPEN · MAY 22-23, 2026 · OPEN TO ALL UNIVERSITIES · 24-HOUR EVENT · FREE TO ENTER · PRIZES AWARDED · TEAMS MIN 4 MEMBERS · NO EXPERIENCE REQUIRED · DATA SCIENCE · ML · CV · NLP ·

CSULB AI CLUB PRESENTS

AIXDATA

24 hours. Real data. No limits.

MAY 22-23, 2026

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Events on Pine — 140 Pine Ave, Downtown Long Beach

Events on Pine · 140 Pine Ave, 3rd Floor · Downtown Long Beach, CA 90802

Applications are LIVE
SIGN UP NOW

ABOUT

AIXDATA is the CSULB AI Club's annual datathon — a 24-hour competition where teams extract insights from real-world datasets and present their findings to a panel of judges. Open to all university students with no experience required.

Whether you're running your first regression or fine-tuning a neural net, there's a track for you. Workshops, mentors, free food, and prizes across both days.

Project submissions will be done through DevPost.

Where

Events on Pine — 3rd Floor
140 Pine Ave, Downtown Long Beach, CA 90802

When

Day 1: May 22, 2026 · 8 AM – 9 PM
Day 2: May 23, 2026 · 9 AM – 3 PM

Who

Open to all university students — any major, any year

Cost

100% free. Meals included.

REGISTER

Spots are limited. Lock in your place now.

Early Acceptance Deadline May 10, 2026 · 11:59 PM
Final Acceptance Deadline May 17, 2026 · 11:59 PM

Schedule

May 22–23, 2026 — times are approximate and subject to change.

DAY 1 — MAY 22, 2026

Events on Pine · 140 Pine Ave, 3rd Floor, Long Beach

7:30 – 8:00 AM

Officer Set Up

8:00 – 9:15 AM

Check In

9:15 – 9:30 AM

Officer Introductions

9:30 – 10:00 AM

Guest Speaker

10:00 AM – 10:15 AM

Instructions + Where to Start

10:00 AM – 1:00 PM

⚡ Hack Session #1

1:00 PM

Lunch

Costco Pizza

1:00 – 7:00 PM

⚡ Hack Session #2

2:00 PM

Workshop #1:How to Build Your Application

2:30 – 3:00 PM

Mid-Day Check-In

3:30 PM

Snacks Served

6:00 PM

Dinner Served

7:00 – 8:00 PM

Workshop #2:Submission Guide Workshop

8:00 – 9:00 PM

⚡ Hack Session #3

8:30 – 9:00 PM

Clean Up + Closing

DAY 2 — MAY 23, 2026

Award Ceremony + Project Showcase · California State University, Long Beach — SSPA North Lawn (Outpost Lawn), Lawn in front of Engineering

9:00 – 10:00 AM

Check In

10:00 AM

⏱ Project/Model Hard Deadline

10:00 – 11:00 AM

Judging Window

11:00 AM

Brunch + Coffee

Cassidys

11:00 AM – 2:00 PM

Expo

11:30 AM – 12:30 PM

🏆 Closing Ceremony + Prizes

2:00 PM – 3:00 PM

Exit

Tracks

Four distinct competition tracks. Pick your focus — or go broad.

Click any card to flip it.

SUPERVISED

Supervised Learning

Work with labeled datasets to build classification and regression models. Predict outcomes, score accuracy, and optimize performance.

  • Classification & regression
  • Feature engineering
  • Model evaluation
UNSUPERVISED

Unsupervised Learning

Discover hidden patterns in unlabeled data. Cluster, compress, and explore without predefined answers.

  • Clustering (K-Means, DBSCAN)
  • Dimensionality reduction
  • Anomaly detection
COMPUTER
VISION

Computer Vision

Build models that see. Classify images, detect objects, and extract meaning from visual data.

  • Image classification
  • Object detection
  • CNNs & transfer learning
NLP / LLM

NLP / LLM

To Be Determined — details coming soon.

FAQ

A datathon is a data science competition where teams analyze a real dataset and present insights within a fixed time window. Unlike hackathons focused on building apps, datathons emphasize analysis, modeling, and data storytelling.

Events on Pine — 3rd Floor, 140 Pine Ave, Downtown Long Beach, CA 90802.

Open to all university students — any major, any year, any experience level. Beginner workshops and mentors are available throughout the day so you don't need a background in ML to compete.

Teams must have a minimum of 4 members. There are a maximum of 6 teams and 56 participants total. Solo/individual participation is not available — you must be on a team. Team formation will be held at the beginning of the event for those who still need a team.

No. AIXDATA is completely free to attend. Meals and snacks throughout the day are included, thanks to our sponsors.

Your laptop, charger, a valid university student ID, and your best ideas. We'll handle the rest.

Datasets are revealed at the opening ceremony — everyone starts at the same time. No early access, no exceptions. Keeps it fair and keeps it exciting.

Speakers

Industry professionals and researchers sharing insights. Announcements coming soon.

Naomi JianCang Alvarado

Naomi JianCang Alvarado

Data Analysis Expert at Resolution Economics

LinkedIn

Sponsors

Supported by organizations investing in the next generation of data scientists.

Become a Sponsor →

The Team

Soroush Mirzaee
Soroush Mirzaee President
Jason Ramirez
Jason Ramirez Vice President
David Cardenas
David Cardenas Tech Lead
Winston Ta
Winston Ta Event Executive
Mindy Yun
Mindy Yun Treasurer
Bertrand Lee
Bertrand Lee Secretary
Han Htoo Zin
Han Htoo Zin Networking Director
Camille Wong
Camille Wong Project Executive
Mometa Uddin
Mometa Uddin Design Director
Amanda Gantugs
Amanda Gantugs Marketing Director