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University of Washington eScience Institute

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uuid004db61

Namestring
University of Washington eScience Institute
Legal namestring
University of Washington
Company typeenum
Private
Founded yearint
2015
Descriptiontext

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.

Short descriptiontext

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.

Operating statusenum
Operating
Ownership categoryenum
Headcount rangeband
11–50
akta.pro rankint
HeadquartersSeattle, United States
HQ citystring
Seattle
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices2 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
data science research, research software engineering, cloud computing services, scientific computing infrastructure, academic research consulting
Industry4 codes
1Public Research Universities with Comprehensive Graduate & Professional Schools
CodeEDAHAAAFPrimaryYes
2Public Research Universities with Multi-Campus Systems
CodeEDAHAAAIPrimaryNo
3STEM-Focused Technical Universities
CodeEDAHAEADPrimaryNo
4Research & Lab-Based Short-Term Programs (Undergraduate/Graduate)
CodeEDAIAIAFPrimaryNo
NAICS code4 codes
  • Colleges, Universities, and Professional Schools6113
  • Research and Development in the Physical, Engineering, and Life Sciences54171
  • Computer Training611420
  • Scientific Research and Development Services5417
SIC code3 codes
  • Services-Educational Services8200
  • Services-Commercial Physical & Biological Research8731
  • Services-Computer Programming Services7371
Product category
Academic Research Services
GTM motion2 records

Each record includes

Type, Description, Source

Revenue model4 records
1Institutional Funding
TypeSubscription Recurring
Description

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.

escience.washington.edu
2Foundation Grants
TypeLicensing Royalties
Description

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.

escience.washington.edu
3Federal Research Grants
TypeLicensing Royalties
Description

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.

escience.washington.edu
4CloudBank Services
TypeManaged Services
Description

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.

escience.washington.edu
Marketing channels8 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels5 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components4 values
Personnel, Technology or R&D, Infrastructure, Operations
Pricing details1 tier
1Free educational programs for UW community
ModelFreemiumBilling cadenceMulti-year contract
Notes

All workshops, hackweeks, Software Carpentry sessions, and short courses are offered free to participants. Programs are funded through institutional support and grants. No fees are charged for participation in Data Science & AI Accelerator, incubator projects, or hackweeks.

escience.washington.edu
GTM typeB2B
B2B
Offering typeServices
Services
Brand1 of 6 records shown
1Scientific Software Engineering Center (SSEC)
Description

Program that helps researchers create software solutions through professional software engineering support

escience.washington.edu
+5 more records
Core offering1 text field

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.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 3 values shown
  • Supporting approximately 500 research projects annually through CloudBank 2
+2 more records
Product overview1 text field

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.

Product and service5 records
1Research Software Engineering Consulting
CategoryResearch consulting services
Description

Pairing of professional software engineers with UW research teams to build, maintain, and improve scientific software and reproducible workflows.

2Data Science Consulting and Statistical Methodology Support
CategoryResearch consulting services
Description

Direct consulting to UW researchers on data analysis, statistical methods, and data management for scientific projects.

3Hyak High-Performance Computing Cluster
CategoryCloud computing infrastructure
Description

Shared HPC and cloud computing infrastructure provided to UW researchers for large-scale data- and compute-intensive workloads.

4Data Science Training and Education Programs
CategoryEducation and training
Description

Workshops, courses, and programs (e.g., Data Science for Social Good) that train researchers, students, and staff in modern data science methods and tools.

5Open-Source Scientific Software and Tooling
CategorySoftware and tooling
Description

Development and stewardship of open-source software libraries and reproducible research tools used by the scientific community.

Scale indicator5 records

Each record includes

Type, Value, Description, Source

Partnership12 partners
Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-01-01
Description

CloudBank 2 partner providing supercomputing infrastructure and expertise. Co-PI Vince Kellen and Michael L. Norman lead the project from SDSC.

Strategic tierCoreTypeStrategic or Co-development PartnerAnnounced on2025-01-01
Description

CloudBank 2 partner providing computing and data science expertise. Co-PI Katherine Yelick leads classroom activities for the project.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

The parent institution providing institutional support, office space, and academic infrastructure for the eScience Institute across all three UW campuses.

Strategic tierCoreTypeStrategic or Co-development Partner
Description

Non-profit volunteer organization providing Software Carpentry curriculum and instructor training. eScience is a regional partner running quarterly workshops.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Collaborative partnership between UW Outdoor Recreation and Data Lab and eScience to conduct research on federal lands visitation estimation and outdoor recreation data.

Strategic tierMajorTypeStrategic or Co-development Partner
Description

Federal agency partnering with UW researchers to inform outdoor recreation data approaches as required by the EXPLORE Act legislation.

7UW Libraries
Strategic tierMajorTypeStrategic or Co-development Partner
Description

Collaboration on Open IRE project to automate collection of UW researcher publications into the ResearchWorks institutional repository. SSEC engineers provided software development support.

escience.washington.edu
Strategic tierMinorTypeStrategic or Co-development Partner
Description

International academic partner collaborating on Phylo2Vec software development for phylogenetic research.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Academic collaborator on phylogenetic tree software workshop and Phylo2Vec development.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

SSEC collaboration on biodiversity and climate change research through the Biodiversity Horizons project focused on predicting climate impacts on biodiversity.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

International partnership for outdoor recreation and tourism research through the Digital Geography Lab collaboration.

Strategic tierMinorTypeStrategic or Co-development Partner
Description

Academic collaborator on AutoRA (Automated Documentation of Empirical Research) project using LLMs for research documentation.

Recent move7 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeOthers
Description

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.

2ACCESS (formerly XSEDE)
TypeOthers
Description

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.

TypeDirect peer
Description

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.

TypeOthers
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeDirect peer
Description

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.

TypeOthers
Description

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.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks6 records

Each record includes

Headline, Details, Source

Key highlights6 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers6 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment4 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
No

Docs URL, Description

Integration5 records

Each record includes

Title, Type, Description, Source

AI capability15 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature6 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles2 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

Subsidiaries5 records

Each record includes

Name, Acquired on, Relationship type, Type, Business focus

No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

University of Washington eScience Institute

Academic Research Servicesescience.washington.edu

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.

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

  • Data science research
  • Research software engineering
  • Cloud computing services
  • Scientific computing infrastructure
  • Academic research consulting

Where University of Washington eScience Institute is headquartered

Location

Headquarters

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

  1. 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.
  2. 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.
  3. 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.
  4. 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

ModelBillingPrice
FreemiumMulti-year contractFree educational programs for UW community

Go-to-market motion2 records

Distribution channels5 records

Marketing channels8 records

University of Washington eScience Institute product offering

Product offering

Core 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 profile

Named customers6 records

Segments4 records

Ideal customer profiles2 records

University of Washington eScience Institute technology and API

Technology

Technology 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 signal

Partnerships

Twelve partnerships are on record, tiered core, major and minor.

  • San Diego Supercomputing Center (SDSC)coreStrategic or Co-development Partner · 1 January 2025CloudBank 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 SocietycoreStrategic or Co-development Partner · 1 January 2025CloudBank 2 partner providing computing and data science expertise. Co-PI Katherine Yelick leads classroom activities for the project.
  • University of WashingtoncoreStrategic or Co-development PartnerThe parent institution providing institutional support, office space, and academic infrastructure for the eScience Institute across all three UW campuses.
  • The CarpentriescoreStrategic or Co-development PartnerNon-profit volunteer organization providing Software Carpentry curriculum and instructor training. eScience is a regional partner running quarterly workshops.
  • Outdoor Recreation and Data LabmajorStrategic or Co-development PartnerCollaborative 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 InteriormajorStrategic or Co-development PartnerFederal agency partnering with UW researchers to inform outdoor recreation data approaches as required by the EXPLORE Act legislation.
  • UW LibrariesmajorStrategic or Co-development PartnerCollaboration on Open IRE project to automate collection of UW researcher publications into the ResearchWorks institutional repository. SSEC engineers provided software development support.
  • University of CopenhagenminorStrategic or Co-development PartnerInternational academic partner collaborating on Phylo2Vec software development for phylogenetic research.
  • Imperial College LondonminorStrategic or Co-development PartnerAcademic collaborator on phylogenetic tree software workshop and Phylo2Vec development.
  • Barcelona Supercomputing CenterminorStrategic or Co-development PartnerSSEC collaboration on biodiversity and climate change research through the Biodiversity Horizons project focused on predicting climate impacts on biodiversity.
  • University of HelsinkiminorStrategic or Co-development PartnerInternational partnership for outdoor recreation and tourism research through the Digital Geography Lab collaboration.
  • Brown UniversityminorStrategic or Co-development PartnerAcademic 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 assessment

Others

  • 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 presence

University of Washington eScience Institute financial estimates

Financial estimate

Revenue estimate

Valuation estimate

University of Washington eScience Institute leadership team

Management profile

Number of profiles

Profiles2 records

University of Washington eScience Institute subsidiaries and ownership

Company hierarchy

Subsidiaries5 records

University of Washington eScience Institute funding detail

Funding detail

Funding overview

Funding rounds

Investors

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

University of Washington eScience Institute M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

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.

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