About - Global Entrepreneurship Society at UCLA

The Global Entrepreneurship Society at UCLA (formerly Three Day StartUp at UCLA) is an entrepreneurial and educational extracurricular program aimed at university students, emphasizing hands-on learning.

Our mission is to foster entrepreneurial mindsets and skills within our student community to tackle problems, launch new ventures, and cultivate successful businesses with global impacts.

Our approach encompasses every stage of the entrepreneurial journey, from ideation and team formation to market research, rapid prototyping, and final pitch presentations. Through workshops and practical experiences, members directly apply their acquired knowledge to develop sustainable business models, with a focus on expanding startup ideas into thriving global enterprises.

https://gesatucla.org/

About - Trustworthy AI Lab @ UCLA

Trustworthy AI lab at UCLA envisions AI 2.0 as being driven by trustworthiness (beyond performance), and being built upon generative data (on top of raw data). Our lab drives advancements in Generative Data for marketing, healthcare, and finance sectors. We develop data-centric tools, such as artificially generated tables and conversations, which enables privacy-preserving data sharing and reliable scenario exploration.

http://www.stat.ucla.edu/~guangcheng/index.html

Trustworthy AI Lab x GES UCLA Hackathon

The 2024 Hackathon is dedicated to pioneering Generative AI for Data Collaboration – an innovative approach to redefine data privacy and protection. Let's design and implement robust Generative AI solutions set to revolutionize the way data is shared within digital ecosystems.

Detailed prompt release and kickoff event will be held virtually on May 29th.

Teams are of 3-5 people, we can also assist you in forming a team! Registration closes on June 16th.

Please register using the Google Form below, you will receive email confirmation upon successful registration:

Register Here

• Accuracy and Predictive Performance
  Projects will be evaluated based on the accuracy and reliability of their predictive models. (More details upon prompt release)
• Innovation and Creativity
  Judges will assess the novelty and creativity of the solutions, especially in terms of how participants handle data integration, synthesis, and privacy-preserving techniques. (More details upon prompt release)
• Scalability and Efficiency
  The ability of the solution to scale efficiently and process data in real-time will be evaluated. Projects need to demonstrate performance stability and resource management. (More details upon prompt release)