In this workshop you will learn both the art and the science of crafting LLM prompts for generative AI models to elicit accurate and relevant results. You will also learn...
This workshop will share how OARC is supporting researchers with mobile engagement strategies and helping them collect analytics for their behavioral studies. From Psychology to Oncology to Dentistry projects, we...
This in-person workshop will introduce the UCLA research community to the emerging class of Time Series Foundation Models (TSFMs) and their application to sustainability challenges such as electricity grid carbon...
Are you doing research and collecting survey data? Do you use RedCap for behavioral intervention research? Do you think its complicated to position yourself to collect data in the field?...
This training introduces participants to Siteimprove, UCLA’s automated accessibility evaluation platform. Attendees will learn how to navigate the main accessibility dashboard, review accessibility issues across their websites, and use the...
This interactive session introduces the fundamentals of digital accessibility and why it matters at UCLA. Participants will learn what accessibility means in a digital context, gain insight into disability culture,...
While Python has been the most popular programming language since 2019, data scientists often critique its slow speed and limited capabilities in handling big data scenarios. In this workshop series,...
This 1-hour, non-technical workshop will introduce researchers to UCLA Messaging, a campus service that can send study-related notifications directly to participants through custom mobile apps. Using the NIH-funded UCLA Oralytics...
This workshop will introduce researchers to cutting-edge machine learning (ML) methods that are transforming computational chemistry and materials science. Participants will learn how ML models can accelerate atomistic simulations, bridging...
This workshop will explore how artificial intelligence is used to reconstruct biomedical microscopy data, emphasizing both the opportunities and the risks of these approaches. While AI has enabled remarkable advances...
This workshop will introduce the UCLA research community to the application of diffusion probabilistic models for medical imaging problems, with a focus on MRI. Participants will learn both the fundamentals...
This workshop introduces core methods for generating high-quality meshes used in large-scale simulation, scientific computing, and computer graphics. We will explore how Voronoi tessellation and Delaunay triangulation form the foundation...