I-GUIDE Platform for Geospatial Data-intensive Convergence Research and Education

Shaowen Wang; Furqan Baig; Yunfan Kang; Erick Li; Alexander Michels; Nattapon Jaroenchai; Anand Padmanabhan; Arunesh Kumar; Rajesh Kalyanam; Noah S. Oller Smith; X. Carol Song; Lan Zhao; Steven Manson; Mohan Ramamurthy; Sina Taghavikish; David Tarboton

doi:10.1145/3708035.3736108

I-GUIDE Platform for Geospatial Data-intensive Convergence Research and Education

Shaowen Wang
, Furqan Baig
, Yunfan Kang
, Erick Li
, Alexander Michels
, Nattapon Jaroenchai
, Anand Padmanabhan
, Arunesh Kumar
, Rajesh Kalyanam
, Noah S. Oller Smith
, X. Carol Song
, Lan Zhao
, Steven Manson
, Mohan Ramamurthy
, Sina Taghavikish
, David Tarboton

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

Abstract

The I-GUIDE Platform is a pioneering cyberinfrastructure environment designed to advance geospatial data-intensive convergence science and knowledge discovery across various domains. By integrating geospatial data, domain-specific knowledge elements, and open educational resources, the platform empowers researchers and practitioners to tackle complex scientific challenges cutting across multiple disciplines. This paper provides an overview of the motivation, architecture, principles, and applications and impacts of the platform, demonstrating how it fosters interdisciplinary collaboration and enables geospatial data-intensive convergence research and education.

Original language	English
Title of host publication	PEARC 2025 - Practice and Experience in Advanced Research Computing 2025
Subtitle of host publication	The Power of Collaboration
Publisher	Association for Computing Machinery, Inc
ISBN (Electronic)	9798400713989
DOIs	https://doi.org/10.1145/3708035.3736108
State	Published - Jul 18 2025
Externally published	Yes
Event	2025 Practice and Experience in Advanced Research Computing, PEARC 2025 - Columbus, United States Duration: Jul 20 2025 → Jul 24 2025

Publication series

Name	PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration

Conference

Conference	2025 Practice and Experience in Advanced Research Computing, PEARC 2025
Country/Territory	United States
City	Columbus
Period	07/20/25 → 07/24/25

Funding

This paper is based upon work supported by the National Science Foundation under award No. 2118329. Any opinions, findings, conclusions, or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Keywords

cyberinfrastructure
geospatial artificial intelligence (AI)
science gateway

Access to Document

10.1145/3708035.3736108

Cite this

Wang, S., Baig, F., Kang, Y., Li, E., Michels, A., Jaroenchai, N., Padmanabhan, A., Kumar, A., Kalyanam, R., Oller Smith, N. S., Song, X. C., Zhao, L., Manson, S., Ramamurthy, M., Taghavikish, S., & Tarboton, D. (2025). I-GUIDE Platform for Geospatial Data-intensive Convergence Research and Education. In PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration Article 46 (PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration). Association for Computing Machinery, Inc. https://doi.org/10.1145/3708035.3736108

Wang, Shaowen ; Baig, Furqan ; Kang, Yunfan et al. / I-GUIDE Platform for Geospatial Data-intensive Convergence Research and Education. PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration. Association for Computing Machinery, Inc, 2025. (PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration).

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abstract = "The I-GUIDE Platform is a pioneering cyberinfrastructure environment designed to advance geospatial data-intensive convergence science and knowledge discovery across various domains. By integrating geospatial data, domain-specific knowledge elements, and open educational resources, the platform empowers researchers and practitioners to tackle complex scientific challenges cutting across multiple disciplines. This paper provides an overview of the motivation, architecture, principles, and applications and impacts of the platform, demonstrating how it fosters interdisciplinary collaboration and enables geospatial data-intensive convergence research and education.",

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month = jul,

day = "18",

doi = "10.1145/3708035.3736108",

language = "English",

series = "PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration",

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Wang, S, Baig, F, Kang, Y, Li, E, Michels, A, Jaroenchai, N, Padmanabhan, A, Kumar, A, Kalyanam, R, Oller Smith, NS, Song, XC, Zhao, L, Manson, S, Ramamurthy, M, Taghavikish, S & Tarboton, D 2025, I-GUIDE Platform for Geospatial Data-intensive Convergence Research and Education. in PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration., 46, PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration, Association for Computing Machinery, Inc, 2025 Practice and Experience in Advanced Research Computing, PEARC 2025, Columbus, United States, 07/20/25. https://doi.org/10.1145/3708035.3736108

I-GUIDE Platform for Geospatial Data-intensive Convergence Research and Education. / Wang, Shaowen; Baig, Furqan; Kang, Yunfan et al.
PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration. Association for Computing Machinery, Inc, 2025. 46 (PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration).

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

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AU - Wang, Shaowen

AU - Baig, Furqan

AU - Kang, Yunfan

AU - Li, Erick

AU - Michels, Alexander

AU - Jaroenchai, Nattapon

AU - Padmanabhan, Anand

AU - Kumar, Arunesh

AU - Kalyanam, Rajesh

AU - Oller Smith, Noah S.

AU - Song, X. Carol

AU - Zhao, Lan

AU - Manson, Steven

AU - Ramamurthy, Mohan

AU - Taghavikish, Sina

AU - Tarboton, David

PY - 2025/7/18

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AB - The I-GUIDE Platform is a pioneering cyberinfrastructure environment designed to advance geospatial data-intensive convergence science and knowledge discovery across various domains. By integrating geospatial data, domain-specific knowledge elements, and open educational resources, the platform empowers researchers and practitioners to tackle complex scientific challenges cutting across multiple disciplines. This paper provides an overview of the motivation, architecture, principles, and applications and impacts of the platform, demonstrating how it fosters interdisciplinary collaboration and enables geospatial data-intensive convergence research and education.

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KW - geospatial artificial intelligence (AI)

KW - science gateway

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BT - PEARC 2025 - Practice and Experience in Advanced Research Computing 2025

PB - Association for Computing Machinery, Inc

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Wang S, Baig F, Kang Y, Li E, Michels A, Jaroenchai N et al. I-GUIDE Platform for Geospatial Data-intensive Convergence Research and Education. In PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration. Association for Computing Machinery, Inc. 2025. 46. (PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration). doi: 10.1145/3708035.3736108

I-GUIDE Platform for Geospatial Data-intensive Convergence Research and Education

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Keywords

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