University of Washington eScience Institute
The University of Washington eScience Institute is a university-wide data science and AI research support center serving UW faculty, students, and external research communities through consulting, software engineering, hackweeks, cloud resources, and degree programs, funded by institutional support and foundation grants.
- Company typePrivate
- Founded2015
- HeadquartersSeattle, United States
- Headcount11–50
- GTM typeB2B
- OfferingServices
What University of Washington eScience Institute does
The University of Washington eScience Institute is a university-wide research and education unit founded in 2008 and headquartered on the UW Seattle campus, serving faculty, postdocs, staff, and students across all three UW campuses (Seattle, Tacoma, Bothell). It functions as a central hub for data-intensive discovery, pairing domain researchers with data science and AI expertise through the Data Science & AI Accelerator, the Scientific Software Engineering Center (SSEC), Hackweeks, the Data Science Incubator, and the Data Science for Social Good (DSSG) summer fellowship. Educational offerings span Software Carpentry workshops, an undergraduate Data Science Minor, graduate-level options, and a 45-credit Master of Science in Data Science launched in fall 2016.
Its technology footprint centers on applied data science and AI tooling rather than commercial product development: the SSEC builds sustainable open-source research software spanning neuroscience (neuropythy), astrophysics (KBMOD), phylogenetics (Phylo2Vec), and institutional repository automation (Open IRE). Through the NSF-funded CloudBank 2 partnership with San Diego Supercomputing Center and UC Berkeley, the institute brokers commercial cloud resources (AWS, GCP, Azure, IBM Cloud) to roughly 500 research projects annually. AI methods applied across projects include retrieval-augmented generation on Azure, computer vision, LSTMs, and predictive ML for clinical and environmental use cases.
The institute does not operate as a commercial entity and reports no revenue. It is funded by intramural UW support alongside grants from the Gordon and Betty Moore Foundation, Schmidt Sciences, Alfred P. Sloan Foundation, Washington Research Foundation, NSF, NIH, NASA, and DOE. All workshops, hackweeks, office hours, and accelerator services are provided free to participants, and outreach is conducted through content marketing, a weekly newsletter, events, and academic social channels.
University of Washington eScience Institute firmographics
Firmographics- Name
- University of Washington eScience Institute
- Legal name
- University of Washington
- Website
- https://escience.washington.edu
- Company type
- Private
- Founded year
- 2015
- Operating status
- Operating
- Headcount range
- 11–50 employees
- Short description
- The University of Washington eScience Institute is a university-wide data science and AI research support center serving UW faculty, students, and external research communities through consulting, software engineering, hackweeks, cloud resources, and degree programs, funded by institutional support and foundation grants.
- Ownership category
- akta.pro rank
University of Washington eScience Institute industry classification
Industry- Product category
- Academic Research Services
- NAICS
- Colleges, Universities, and Professional Schools (6113), Research and Development in the Physical, Engineering, and Life Sciences (54171), Computer Training (611420), Scientific Research and Development Services (5417)
- SIC
- Services-Educational Services (8200), Services-Commercial Physical & Biological Research (8731), Services-Computer Programming Services (7371)
- akta.pro primary industry
- Public Research Universities with Comprehensive Graduate & Professional Schools (EDAHAAAF)
- akta.pro secondary industries
- Public Research Universities with Multi-Campus Systems (EDAHAAAI), STEM-Focused Technical Universities (EDAHAEAD), Research & Lab-Based Short-Term Programs (Undergraduate/Graduate) (EDAIAIAF)
Keywords
Where University of Washington eScience Institute is headquartered
LocationHeadquarters
- HQ city
- Seattle
- HQ country
- United States
- HQ region
- North America
Offices2 records
Markets served
University of Washington eScience Institute business model
Business model- GTM type
- B2B
- Offering type
- Services
- Cost components
- Personnel, Technology or R&D, Infrastructure, Operations
Revenue model
- Institutional Funding: Primary funding from the University of Washington as an integral part of the institution. The institute is sponsored by UW along with major research foundations and federal agencies.
- Foundation Grants: Major sponsors include Gordon and Betty Moore Foundation, Schmidt Sciences, Alfred P. Sloan Foundation, and Washington Research Foundation which provide grant funding for institute programs and initiatives.
- Federal Research Grants: Funding from National Science Foundation (NSF), National Institutes of Health (NIH), NASA, and Department of Energy for specific research projects, cloud computing infrastructure (CloudBank), and training programs.
- CloudBank Services: The eScience Institute partners on CloudBank, providing commercial cloud resources to research projects nationally, with funding from NSF to support approximately 500 research projects annually.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Freemium | Multi-year contract | Free educational programs for UW community |
Go-to-market motion2 records
Distribution channels5 records
Marketing channels8 records
University of Washington eScience Institute product offering
Product offeringCore offering
The University of Washington eScience Institute is an academic research unit that provides data science consulting, research software engineering, training programs, and shared computational infrastructure (including the Hyak HPC cluster) to researchers. It advances reproducible, data-intensive scientific discovery across disciplines by pairing domain scientists with data scientists and software engineers. Services are primarily funded through federal grants and offered at no cost to UW-affiliated researchers.
Product overview
The University of Washington eScience Institute is an academic institute that serves as a central hub for data science education, research support, and software engineering services across the university. The institute offers a comprehensive portfolio of programs including the Data Science & AI Accelerator (which pairs researchers with experts), the Scientific Software Engineering Center (SSEC) for building research software, Hackweeks for immersive project-based learning, and educational programs including a Data Science Minor, Master of Science in Data Science, Software Carpentry workshops, and various short courses. The institute also provides Cloud Computing resources through CloudBank partnerships, Data Science Incubator projects, and Data Science for Social Good summer programs. Key software products developed include neuropythy (neuroscience data analysis library), KBMOD (moving object detection), Phylo2Vec (phylogenetic research tool), and Open IRE (publication harvesting system). The institute focuses on advancing data-intensive discovery across all academic disciplines through education, collaboration, and open-source software development.
Differentiator
Problem solved
Functional benefit
Brands
- Scientific Software Engineering Center (SSEC): Program that helps researchers create software solutions through professional software engineering support
- Data Science & AI Accelerator
- Data Science for Social Good (DSSG)
- Hackweeks
- WRF Data Science Studio
- Software Carpentry
Products and services
- Research Software Engineering Consulting Pairing of professional software engineers with UW research teams to build, maintain, and improve scientific software and reproducible workflows.
- Data Science Consulting and Statistical Methodology Support Direct consulting to UW researchers on data analysis, statistical methods, and data management for scientific projects.
- Hyak High-Performance Computing Cluster Shared HPC and cloud computing infrastructure provided to UW researchers for large-scale data- and compute-intensive workloads.
- Data Science Training and Education Programs Workshops, courses, and programs (e.g., Data Science for Social Good) that train researchers, students, and staff in modern data science methods and tools.
- Open-Source Scientific Software and Tooling Development and stewardship of open-source software libraries and reproducible research tools used by the scientific community.
Quantifiable outcome
- Supporting approximately 500 research projects annually through CloudBank 2
- +2 more outcomes
Companies that use University of Washington eScience Institute
Customer profileNamed customers6 records
Segments4 records
Ideal customer profiles2 records
University of Washington eScience Institute technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- No
- API docs
- API detail
Core technology
AI maturity
App detail
Integration5 records
AI capability15 records
Feature6 records
University of Washington eScience Institute partnerships and signals
Strategic signalPartnerships
Twelve partnerships are on record, tiered core, major and minor.
- San Diego Supercomputing Center (SDSC)coreCloudBank 2 partner providing supercomputing infrastructure and expertise. Co-PI Vince Kellen and Michael L. Norman lead the project from SDSC.
- UC Berkeley College of Computing, Data Science, and SocietycoreCloudBank 2 partner providing computing and data science expertise. Co-PI Katherine Yelick leads classroom activities for the project.
- University of WashingtoncoreThe parent institution providing institutional support, office space, and academic infrastructure for the eScience Institute across all three UW campuses.
- The CarpentriescoreNon-profit volunteer organization providing Software Carpentry curriculum and instructor training. eScience is a regional partner running quarterly workshops.
- Outdoor Recreation and Data LabmajorCollaborative partnership between UW Outdoor Recreation and Data Lab and eScience to conduct research on federal lands visitation estimation and outdoor recreation data.
- U.S. Department of the InteriormajorFederal agency partnering with UW researchers to inform outdoor recreation data approaches as required by the EXPLORE Act legislation.
- UW LibrariesmajorCollaboration on Open IRE project to automate collection of UW researcher publications into the ResearchWorks institutional repository. SSEC engineers provided software development support.
- University of CopenhagenminorInternational academic partner collaborating on Phylo2Vec software development for phylogenetic research.
- Imperial College LondonminorAcademic collaborator on phylogenetic tree software workshop and Phylo2Vec development.
- Barcelona Supercomputing CenterminorSSEC collaboration on biodiversity and climate change research through the Biodiversity Horizons project focused on predicting climate impacts on biodiversity.
- University of HelsinkiminorInternational partnership for outdoor recreation and tourism research through the Digital Geography Lab collaboration.
- Brown UniversityminorAcademic collaborator on AutoRA (Automated Documentation of Empirical Research) project using LLMs for research documentation.
Scale indicators5 records
Recent moves7 records
Expansion highlights6 records
University of Washington eScience Institute competitors and assessment
Company assessmentOthers
- The Carpentries: Non-profit community that develops and teaches Software Carpentry, Data Carpentry, and Library Carpentry curricula. The eScience Institute is a regional Software Carpentry partner running quarterly workshops, making The Carpentries a content-and-training ecosystem peer rather than a competitor.
- ACCESS (formerly XSEDE): NSF-funded national cyberinfrastructure consortium providing advanced computing and data services to U.S. researchers. CloudBank 2 sits within the ACCESS ecosystem, making it an ecosystem peer in delivering cloud computing access to research projects.
- San Diego Supercomputer Center (SDSC): SDSC is a national supercomputing center co-leading the CloudBank 2 NSF project with UW eScience and UC Berkeley. Highly relevant as a direct collaborator on national-scale cloud infrastructure for research, though its primary mission is HPC rather than university-wide data science enablement.
- National Center for Supercomputing Applications (NCSA): University of Illinois's supercomputing center providing HPC, cloud, and data science resources to researchers. Comparable scope in supporting data-intensive research at a public university and an indirect peer in national cyberinfrastructure delivery.
Direct peers
- Stanford Data Science: Stanford's university-wide data science initiative providing research collaboration, training, and tooling for faculty and students. Operates at comparable scale with similar cross-disciplinary consulting, MS-adjacent programs, and AI/data science accelerator models.
- Michigan Institute for Data Science (MIDAS): University of Michigan's data science institute delivering research enablement, training, and a Data Science Master’s program. Comparable scope across consulting, education, and community programs at a major public research university.
- Harvard Data Science Initiative: Harvard's university-wide data science effort spanning research, training, and infrastructure for faculty and students. Comparable breadth of programs (workshops, MS pathways, faculty consulting) and similar funding model centered on institutional plus foundation support.
- Berkeley Institute for Data Science (BIDS): UC Berkeley's university-wide data science institute offering research support, training, and community programs. One of the Moore-Sloan Data Science Environments alongside UW eScience, making it the most direct peer in mission, funding model, and program structure.
- Columbia Data Science Institute: Columbia University's central data science institute offering MS in Data Science, research support, and industry partnerships. Direct peer on the MS program offering, faculty research collaboration, and industry engagement structure.
- NYU Center for Data Science: NYU's central data science hub delivering MS/PhD programs, faculty research support, and industry partnerships. Also a Moore-Sloan partner, providing near-identical scope in graduate training, research enablement, and community building.
Market position
Strengths5 records
Weaknesses5 records
Competitive moat5 records
Key risks6 records
Key highlights6 records
Customer concentration
University of Washington eScience Institute social profiles
Digital presenceUniversity of Washington eScience Institute financial estimates
Financial estimateRevenue estimate
Valuation estimate
University of Washington eScience Institute leadership team
Management profileNumber of profiles
Profiles2 records
University of Washington eScience Institute subsidiaries and ownership
Company hierarchySubsidiaries5 records
University of Washington eScience Institute funding detail
Funding detailFunding overview
Funding rounds
Investors
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University of Washington eScience Institute M&A and investment
M&A and investmentM&A
Investments
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Frequently asked questions about University of Washington eScience Institute
What does University of Washington eScience Institute do?
The University of Washington eScience Institute is an academic research unit that provides data science consulting, research software engineering, training programs, and shared computational infrastructure (including the Hyak HPC cluster) to researchers. It advances reproducible, data-intensive scientific discovery across disciplines by pairing domain scientists with data scientists and software engineers. Services are primarily funded through federal grants and offered at no cost to UW-affiliated researchers.
Is University of Washington eScience Institute a public or private company?
University of Washington eScience Institute is a private company. It is classified as state government owned and is currently operating.
When was University of Washington eScience Institute founded?
University of Washington eScience Institute was founded in 2015. It employs 11 to 50 people.
Where is University of Washington eScience Institute based?
University of Washington eScience Institute is headquartered in Seattle, United States, in the North America region.
How does University of Washington eScience Institute make money?
Four revenue lines are on record. Institutional Funding is the primary driver. The others are foundation Grants, federal Research Grants and cloudBank Services.
Who are University of Washington eScience Institute's main competitors?
Others on record are The Carpentries, ACCESS (formerly XSEDE), San Diego Supercomputer Center (SDSC) and National Center for Supercomputing Applications (NCSA). Direct peers are Stanford Data Science, Michigan Institute for Data Science (MIDAS), Harvard Data Science Initiative, Berkeley Institute for Data Science (BIDS), Columbia Data Science Institute and NYU Center for Data Science.
Does University of Washington eScience Institute have an API?
No public API is recorded for University of Washington eScience Institute.
What industry is University of Washington eScience Institute in?
University of Washington eScience Institute's product category is Academic Research Services. Its primary akta.pro industry code is EDAHAAAF, Public Research Universities with Comprehensive Graduate & Professional Schools, with a secondary code of EDAHAAAI, Public Research Universities with Multi-Campus Systems. Its NAICS code is 6113 and its SIC code is 8200.