HAWAIʻI DATA SCIENCE INSTITUTE
The Hawaiʻi Data Science Institute (HI-DSI) is a University of Hawaiʻi System-wide effort to support data science education, collaborative research and partnerships with industry.
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NEWS
Hurricane Lowell brought 100+ mph winds, heavy rainfall to Kauaʻi, Niʻihau
Hurricane Lowell’s close passage west of Kauaʻi and Niʻihau brought damaging winds, heavy rainfall with more than 23 inches recorded on Mount Waiʻaleʻale, and dangerous surf. To understand the storm’s full impact, a University of Hawaiʻi team reconstructed Hurricane Lowell hour by hour across Kauaʻi and the state using observations from the Hawaiʻi Mesonet, a statewide network of weather stations, alongside experimental high-resolution mapping tools. Users can […]
UH launches free personalized climate summaries for Hawaiʻi subscribers
Reading time: 2 minutes Starting July 1, the Hawaiʻi community can receive free, personalized monthly climate updates tailored specifically to their own neighborhood or coastline delivered straight to their inbox. Developed by the University of Hawaiʻi’s Hawaiʻi Climate Data Portal (HCDP), the new Monthly Climate Summary tool translates complex scientific metrics into highly localized, plain-language updates on rainfall, temperature and drought conditions. Whether you are […]
UH researchers awarded $12M grant to advance AI, data science in medicine
Reading time: 4 minutes Researchers at the University of Hawaiʻi Cancer Center and UH Mānoa John A. Burns School of Medicine (JABSOM) were awarded more than $12 million from the National Institutes of Health (NIH) to establish the Pacific Center for Artificial Intelligence and Data Science in Medicine (PAC-AID)—a new research center dedicated to accelerating biomedical discoveries through artificial intelligence and data science to benefit […]
How AI and field tech are clearing through the fog on Mount Kaʻala
Reading time: 2 minutes An innovative University of Hawaiʻi research team is using trail cameras and artificial intelligence (AI) to better understand how much fog contributes water to native ecosystems and groundwater recharge. Led in part by Honolulu Community College Professor John DeLay, the project focuses on Mount Kaʻala, Oʻahu’s highest peak and an essential watershed. “If we can keep the project […]
EVENTS
Introduction to AI Tools for Research and Productivity
In this workshop, attendees will learn the basics of generative AI and explore how large language models can be used as tools for research, learning, and productivity. hands-on activities involving prompt engineering, evaluating AI-generated responses, and using AI tools to assist with tasks such as brainstorming ideas, summarizing information, and supporting data science workflows. Prerequisites […]
Introduction to Fundamental Connection of Information & Thermodynamics in Decision Making
This interactive workshop will provide an introduction to the Fundamental Connection of Information & Thermodynamics. This session will explore how these concepts help us understand how intelligent beings, including AI make decisions. Prerequisites Optional reading: https://www.organism.earth/library/document/on-the-decrease-of-entropy-in-a-thermodynamic-system-by-the-intervention-of-intelligent-beings Learning Objectives Attendees can expect to gain an understanding of the fundamental physical limits of deterministic decision-making and explore the […]
Coastal Mapping Using Satellite Imagery
This hands-on workshop introduces satellite-derived shorelines as a tool for coastal mapping and shoreline change analysis. Participants will learn how coastlines can be identified from satellite imagery, what factors influence accuracy, and how shoreline datasets can be used to monitor erosion and accretion over time. Participants will work through a guided Jupyter notebook in which […]
Extreme Value Modeling for Rare Event Analysis
This workshop focuses on applying extreme value statistics to estimate the probability and magnitude of rare events in time-series datasets. Using wave heights as a case study, participants will learn to apply the Generalized Extreme Value distribution and Generalized Pareto Distribution through the Annual Maximum Method and Peaks Over Threshold approach, with additional discussion on […]
Machine Learning for Environmental Time-Series Forecasting
Environmental forecasting plays an important role in water resources management, agriculture, and climate resilience. This workshop will introduce participants to the fundamentals of machine learning for environmental time-series forecasting, with a focus on rainfall and evapotranspiration prediction using ground-based meteorological data. Drawing from real-world research applications, the workshop will discuss key steps in developing predictive […]
Physics-Informed AI for Environmental Data Science
This workshop will introduce the concept of physics-informed machine learning and explore why physical constraints matter in AI models for environmental science. Using a hands-on example from atmospheric science, participants will train a simple neural network – first as a purely data-driven model, then with physics-informed constraints. By comparing the two approaches, participants will gain […]
Creating a 3D Model Using Public DEM and/or LiDAR Data
This workshop will cover how to turn elevation data from NOAA into a 3D-printable physical model using Python with no prior GIS, 3D modeling, or Blender experience needed. By the end of the workshop you’ll have generated your own STL file of Hilo Bay, Hawaii as well as a colored FBX file that can be […]
Scale Your Computing and Data Work on the OSDF and OSPool
Learn how to scale your research using the OSPool and Open Science Data Federation (OSDF) in this 90 minute training! Do you have multiple computational tasks to run, like analyzing images, running many simulations, or conducting genomic and bioinformatic analyses? Do you work with large shared datasets, or want a way to access your data […]
Differentiable Optimization using JAX on the Koa HPC Cluster
This hands-on workshop covers how to use JAX on the Koa HPC cluster to implement differentiable optimization. This approach bridges scientific computing and machine learning by letting you insert entire optimization solvers as layers inside end-to-end computational models. Instead of unrolling iterative solvers in memory, we will use the Implicit Function Theorem to compute exact […]
The National Research Platform: Cyberinfrastructure for Research and Education
Instructor(s): Dr. Daniel Diaz is a Computational Data Scientist at the San Diego Supercomputer Center (SDSC). Daniel earned his Ph.D. in Particle Physics from Florida State University in 2020. His research background is in large-scale data analysis for particle detector experiments, where he applies machine learning and specialized computational methods to collect, process, and interpret […]
Differentiable Optimization using JAX on the Koa HPC Cluster
Workshop Description This hands-on workshop covers how to use JAX on the Koa HPC cluster to implement differentiable optimization. This approach bridges scientific computing and machine learning by letting you insert entire optimization solvers as layers inside end-to-end computational models. Instead of unrolling iterative solvers in memory, we will use the Implicit Function Theorem to […]
Deep Generative Models for Learning Complex Geometry on the Koa HPC System
Workshop Description This workshop will cover how deep generative models can be used to learn and generate complex geometric structures, with a focus on subsurface applications such as fracture networks and heterogeneous geological fields. The workshop will introduce the motivation for using generative models in scientific computing, explain how complex geometry can be represented by […]
HPC 101 – Onboarding
Description This workshop is an introduction to using high-performance computing (HPC) systems, specifically the Koa HPC. We can’t cover every case or give an exhaustive course on parallel programming in just two hours of teaching time. Instead, this workshop is intended to give students a good introduction and overview of the tools available and how […]
High Performance Computing (HPC) Resources
Learn more about free University of Hawai‘i HPC resources.
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