A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery

Rafael Ferreira Da Silva; Milad Abolhasani; Dionysios A. Antonopoulos; Laura Biven; Ryan Coffee; Ian T. Foster; Leslie Hamilton; Shantenu Jha; Theresa Mayer; Benjamin Mintz; Robert G. Moore; Salahudin Nimer; Noah Paulson; Woong Shin; Frédéric Suter; Mitra Taheri; Michela Taufer; Newell R. Washburn

doi:10.1145/3750720.3757292

A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery

Rafael Ferreira Da Silva
, Milad Abolhasani
, Dionysios A. Antonopoulos
, Laura Biven
, Ryan Coffee
, Ian T. Foster
, Leslie Hamilton
, Shantenu Jha
, Theresa Mayer
, Benjamin Mintz
, Robert G. Moore
, Salahudin Nimer
, Noah Paulson
, Woong Shin
, Frédéric Suter
, Mitra Taheri
, Michela Taufer
, Newell R. Washburn

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

Scientific discovery is being revolutionized by AI and autonomous systems, yet current autonomous laboratories remain isolated islands unable to collaborate across institutions. We present the Autonomous Interconnected Science Lab Ecosystem (AISLE), a grassroots network transforming fragmented capabilities into a unified system that shorten the path from ideation to innovation to impact and accelerates discovery from decades to months. AISLE addresses five critical dimensions: (1) cross-institutional equipment orchestration, (2) intelligent data management with FAIR compliance, (3) AI-agent driven orchestration grounded in scientific principles, (4) interoperable agent communication interfaces, and (5) AI/ML-integrated scientific education. By connecting autonomous agents across institutional boundaries, autonomous science can unlock research spaces inaccessible to traditional approaches while democratizing cutting-edge technologies. This paradigm shift toward collaborative autonomous science promises breakthroughs in sustainable energy, materials development, and public health.

Original language	English
Title of host publication	54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings
Publisher	Association for Computing Machinery, Inc
Pages	142-150
Number of pages	9
ISBN (Electronic)	9798400721090
DOIs	https://doi.org/10.1145/3750720.3757292
State	Published - Dec 20 2025
Event	54th International Conference on Parallel Processing Workshop, ICPP 2025 - San Diego, United States Duration: Sep 8 2025 → Sep 11 2025

Publication series

Name	54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings

Conference

Conference	54th International Conference on Parallel Processing Workshop, ICPP 2025
Country/Territory	United States
City	San Diego
Period	09/8/25 → 09/11/25

Funding

This research used resources of the Oak Ridge Leadership Computing Facility, and is sponsored by the INTERSECT Initiative as part of the Laboratory Directed Research and Development Program of Oak Ridge National Laboratory, supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725.

Keywords

Autonomous Discovery
Autonomous Science
Labs of the Future
Scientific Workflows

Access to Document

10.1145/3750720.3757292

Cite this

Ferreira Da Silva, R., Abolhasani, M., Antonopoulos, D. A., Biven, L., Coffee, R., Foster, I. T., Hamilton, L., Jha, S., Mayer, T., Mintz, B., Moore, R. G., Nimer, S., Paulson, N., Shin, W., Suter, F., Taheri, M., Taufer, M., & Washburn, N. R. (2025). A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery. In 54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings (pp. 142-150). (54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings). Association for Computing Machinery, Inc. https://doi.org/10.1145/3750720.3757292

Ferreira Da Silva, Rafael ; Abolhasani, Milad ; Antonopoulos, Dionysios A. et al. / A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery. 54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings. Association for Computing Machinery, Inc, 2025. pp. 142-150 (54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings).

@inproceedings{157ade89e2d74e96a435959c1148ad50,

title = "A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery",

abstract = "Scientific discovery is being revolutionized by AI and autonomous systems, yet current autonomous laboratories remain isolated islands unable to collaborate across institutions. We present the Autonomous Interconnected Science Lab Ecosystem (AISLE), a grassroots network transforming fragmented capabilities into a unified system that shorten the path from ideation to innovation to impact and accelerates discovery from decades to months. AISLE addresses five critical dimensions: (1) cross-institutional equipment orchestration, (2) intelligent data management with FAIR compliance, (3) AI-agent driven orchestration grounded in scientific principles, (4) interoperable agent communication interfaces, and (5) AI/ML-integrated scientific education. By connecting autonomous agents across institutional boundaries, autonomous science can unlock research spaces inaccessible to traditional approaches while democratizing cutting-edge technologies. This paradigm shift toward collaborative autonomous science promises breakthroughs in sustainable energy, materials development, and public health.",

keywords = "Autonomous Discovery, Autonomous Science, Labs of the Future, Scientific Workflows",

author = "\{Ferreira Da Silva\}, Rafael and Milad Abolhasani and Antonopoulos, \{Dionysios A.\} and Laura Biven and Ryan Coffee and Foster, \{Ian T.\} and Leslie Hamilton and Shantenu Jha and Theresa Mayer and Benjamin Mintz and Moore, \{Robert G.\} and Salahudin Nimer and Noah Paulson and Woong Shin and Fr{\'e}d{\'e}ric Suter and Mitra Taheri and Michela Taufer and Washburn, \{Newell R.\}",

note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; 54th International Conference on Parallel Processing Workshop, ICPP 2025 ; Conference date: 08-09-2025 Through 11-09-2025",

year = "2025",

month = dec,

day = "20",

doi = "10.1145/3750720.3757292",

language = "English",

series = "54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings",

publisher = "Association for Computing Machinery, Inc",

pages = "142--150",

booktitle = "54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings",

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Ferreira Da Silva, R, Abolhasani, M, Antonopoulos, DA, Biven, L, Coffee, R, Foster, IT, Hamilton, L, Jha, S, Mayer, T, Mintz, B, Moore, RG, Nimer, S, Paulson, N, Shin, W , Suter, F, Taheri, M, Taufer, M & Washburn, NR 2025, A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery. in 54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings. 54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings, Association for Computing Machinery, Inc, pp. 142-150, 54th International Conference on Parallel Processing Workshop, ICPP 2025, San Diego, United States, 09/8/25. https://doi.org/10.1145/3750720.3757292

A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery. / Ferreira Da Silva, Rafael; Abolhasani, Milad; Antonopoulos, Dionysios A. et al.
54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings. Association for Computing Machinery, Inc, 2025. p. 142-150 (54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery

AU - Ferreira Da Silva, Rafael

AU - Abolhasani, Milad

AU - Antonopoulos, Dionysios A.

AU - Biven, Laura

AU - Coffee, Ryan

AU - Foster, Ian T.

AU - Hamilton, Leslie

AU - Jha, Shantenu

AU - Mayer, Theresa

AU - Mintz, Benjamin

AU - Moore, Robert G.

AU - Nimer, Salahudin

AU - Paulson, Noah

AU - Shin, Woong

AU - Suter, Frédéric

AU - Taheri, Mitra

AU - Taufer, Michela

AU - Washburn, Newell R.

PY - 2025/12/20

Y1 - 2025/12/20

N2 - Scientific discovery is being revolutionized by AI and autonomous systems, yet current autonomous laboratories remain isolated islands unable to collaborate across institutions. We present the Autonomous Interconnected Science Lab Ecosystem (AISLE), a grassroots network transforming fragmented capabilities into a unified system that shorten the path from ideation to innovation to impact and accelerates discovery from decades to months. AISLE addresses five critical dimensions: (1) cross-institutional equipment orchestration, (2) intelligent data management with FAIR compliance, (3) AI-agent driven orchestration grounded in scientific principles, (4) interoperable agent communication interfaces, and (5) AI/ML-integrated scientific education. By connecting autonomous agents across institutional boundaries, autonomous science can unlock research spaces inaccessible to traditional approaches while democratizing cutting-edge technologies. This paradigm shift toward collaborative autonomous science promises breakthroughs in sustainable energy, materials development, and public health.

AB - Scientific discovery is being revolutionized by AI and autonomous systems, yet current autonomous laboratories remain isolated islands unable to collaborate across institutions. We present the Autonomous Interconnected Science Lab Ecosystem (AISLE), a grassroots network transforming fragmented capabilities into a unified system that shorten the path from ideation to innovation to impact and accelerates discovery from decades to months. AISLE addresses five critical dimensions: (1) cross-institutional equipment orchestration, (2) intelligent data management with FAIR compliance, (3) AI-agent driven orchestration grounded in scientific principles, (4) interoperable agent communication interfaces, and (5) AI/ML-integrated scientific education. By connecting autonomous agents across institutional boundaries, autonomous science can unlock research spaces inaccessible to traditional approaches while democratizing cutting-edge technologies. This paradigm shift toward collaborative autonomous science promises breakthroughs in sustainable energy, materials development, and public health.

KW - Autonomous Discovery

KW - Autonomous Science

KW - Labs of the Future

KW - Scientific Workflows

UR - https://www.scopus.com/pages/publications/105026444511

U2 - 10.1145/3750720.3757292

DO - 10.1145/3750720.3757292

M3 - Conference contribution

AN - SCOPUS:105026444511

T3 - 54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings

SP - 142

EP - 150

BT - 54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings

PB - Association for Computing Machinery, Inc

T2 - 54th International Conference on Parallel Processing Workshop, ICPP 2025

Y2 - 8 September 2025 through 11 September 2025

ER -

Ferreira Da Silva R, Abolhasani M, Antonopoulos DA, Biven L, Coffee R, Foster IT et al. A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery. In 54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings. Association for Computing Machinery, Inc. 2025. p. 142-150. (54th International Conference on Parallel Processing, ICPP 2025 - Workshops Proceedings). doi: 10.1145/3750720.3757292

A Grassroots Network and Community Roadmap for Interconnected Autonomous Science Laboratories for Accelerated Discovery

Abstract

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Keywords

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