DSI Research Portfolio
Our research strategy is informed by the observation that the unique challenges found in real-world problems often inspire foundational advances in data science. By partnering with groups around campus, DSI simultaneously supports the research mission of the university and advances the forefront of data science through use-inspired research.
This portfolio includes examples of projects that DSI has contributed to through our Data Science Services, as well as projects led by our staff and affiliates. Our research portfolio is growing, and we regularly add new projects to this page.
Open Lambda
DSI collaborated with Tyler Caraza-Harter, UW–Madison Computer Sciences, to advance the integration of OpenLambda as a practical, serverless platform capable of supporting real-world applications.
A Hybrid Model for the Pharma Industry
DSI partnered with a biopharmaceutical client to tackle protein purification, developing a computational framework that can predict how much purified protein a given process will yield.
Automated Policy Data Extraction for ProGov21.org Using AI
This project aimed to streamline how policy documents are processed and shared through a fully searchable digital library for local governments.
Data Science and AI for Clinicians
The Data Science for the Non-Data Scientist series provided an approachable overview and practical applications of data science and AI for clinicians.
Survey Analysis for the Office of Sustainability and Clean Energy
The resulting analytical framework provided evidence-based insights and guidelines for policy and climate initiatives.
AI-Driven Anomaly Detection
In this industry collaboration with SafeSet, DSI developed a novel error trap detector utilizing the latest advancements in large language models (LLMs).
Applying Large Language Models for Farm Management Insight
To help farmers apply the latest research, we tested whether AI tools like large language models can turn studies into practical advice.
Alfalfa Crop Management: Systemic Review and Meta-Analysis
This project built a data-driven framework to quantify the agronomic and economic impacts of alfalfa management practices.
Evaluation of Fungicides for Soybean White Mold
Sclerotinia stem rot is ranked third among the top soybean diseases in the northern United States. We evaluated the efficacy of fungicide treatments on disease reduction and grain yield.
Understanding Midbody Remnants
Once considered a “garbage can” of mitosis, midbody remnants (MBRs) are frequently internalized by neighboring cells. This project uncovers MBR payloads and mechanisms of information transfer.
Open Source Crop Disease Forecasting Tool
Emerging diseases pose a growing threat to crop yields. Our open-source crop disease forecasting tool helps farmers protect their yields and profitability through data-driven decisions.
Soil Organic Carbon Assistant
This research aims to quantify the spatial and temporal variations of soil organic carbon stocks across the contiguous US. DSI also developed an open-source API that delivers soil organic carbon data.
AI for Physics
This project uses transformers to precisely calculate scattering amplitudes, which are the mathematical quantities at the heart of many high-energy physics calculations.
ML for Learning to Read
We developed a machine learning model to simulate children’s reading learning processes. This digital twin allows us to explore reading mechanisms and could lead to more personalized instruction.
Corn Fungicide ROI Calculator
This decision-support tool allows corn growers to estimate the profitability of different fungicide applications based on real-time crop conditions.
Corn Yields and Diseases
DSI supported a meta-analysis to determine whether foliar fungicides were effectively controlling diseases and potentially enhancing the overall health of corn crops.
Leaf Image Processing
This project automated the manual process of collecting data from leaf images. DSI data scientists created an app that segments these images into healthy, lesioned, and not-leaf areas.
Dairy Data Science
This project builds off the DairyBrain infrastructure project that ingests and analyzes data from dairy farms, adapting it to an easily-deployable open-source project.
SoundForest Lab Database
The SoundForestLab Database enables the storage and sharing of a large database of ecological soundscape recordings. An audio soundscape is a useful tool for measuring biodiversity.
Ask-XDD
Ask-xDD offers an easy-to-use chat interface for accessing academic information. It helps bridge the gap between complex academic content and users.
COVID-19 Research Group
This interdisciplinary coalition was hosted by DSI with partners from UW–Madison, local and state government, industry, and other academic institutions.