A series of workshops were hosted through the University of Hawaiʻi's Hawaiʻi Data Science Institute covering a variety of topics.
The workshop will cover the Hawaii Climate Data Portal (HCDP) and its features, datasets, and uses. It will also include an overview of the API for data access and examples of how to get access to and use the API.
Methods and strategies for teaching data science concepts and building skilled data science teams in both academic and research settings.
Practical skills development in conducting systematic reviews and meta-analyses to synthesize research findings in the fields of ecology and evolution.
This workshop will be led by Dr. Haopeng Zhang. The workshop will focus on text summarization, large language models and Generative AI.
Secure Software Development
Best practices and fundamental principles for developing secure software, focusing on preventing common vulnerabilities and threats
Combining AI and computational photography techniques to build advanced camera systems for 3D imaging applications.
Exploring various data science applications and current research projects being conducted at the SDAV (Spatial Data Analysis and Visualization) lab.
This workshop covers the application of artificial intelligence and machine learning techniques to enhance and accelerate climate modeling and prediction.
Enhancing Search with RAG
This workshop will focus on optimizing Retrieval-Augmented Generation (RAG) systems by exploring advanced retrieval techniques, including reranking, chunking, vector tuning, and small-to-big retrieval, to build superior domain-specific applications.
Introduction to Jetstream2
This workshop introduces researchers and educators to the NSF ACCESS program using the user-friendly Jetstream2 cloud environment, focusing on managing allocations and demonstrating use cases like serving a web chat interface from a virtual machine.
Data Movement
This workshop will introduce participants to the challenges, tools (including Globus and Rclone), and techniques for optimizing scientific data transfers over a network, addressing common bottlenecks and performance issues.
Scale Your Computing and Data Work on the OSDF and OSPool
This 90-minute training will introduce researchers to High Throughput Computing (HTC) and efficient data scaling using the computational capacity of the OSPool and the data distribution network of the Open Science Data Federation (OSDF) via hands-on exercises.
Research Computing using the NSF FABRIC compute and test-bed Cyberinfrastructure
This comprehensive, hands-on workshop is dedicated to quickly enhancing proficiency in advanced research computing and networking by teaching participants how to access and leverage the unique compute, storage, networking, and specialized infrastructure (like GPUs and FPGAs) of the NSF FABRIC platform for both foundational experiments and advanced applications in AI/ML.
