AERO: An autonomous platform for continuous research

Valérie Hayot-Sasson; Abby Stevens; Nicholson Collier; Sudershan Sridhar; Kyle Conroy; J. Gregory Pauloski; Yadu Babuji; Maxime Gonthier; Nathaniel Hudson; Dante D. Sanchez-Gallegos; Ian Foster; Jonathan Ozik; Kyle Chard

arXiv · 2505.18408

AERO: An autonomous platform for continuous research

Valérie Hayot-Sasson·Abby Stevens·Nicholson Collier·Sudershan Sridhar·Kyle Conroy·J. Gregory Pauloski·Yadu Babuji·Maxime Gonthier·Nathaniel Hudson·Dante D. Sanchez-Gallegos·Ian Foster·Jonathan Ozik·Kyle Chard

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Abstract

The COVID-19 pandemic highlighted the need for new data infrastructure, as epidemiologists and public health workers raced to harness rapidly evolving data, analytics, and infrastructure in support of cross-sector investigations. To meet this need, we developed AERO, an automated research and data sharing platform for continuous, distributed, and multi-disciplinary collaboration. In this paper, we describe the AERO design and how it supports the automatic ingestion, validation, and transformation of monitored data into a form suitable for analysis; the automated execution of analyses on this data; and the sharing of data among different entities. We also describe how our AERO implementation leverages capabilities provided by the Globus platform and GitHub for automation, distributed execution, data sharing, and authentication. We present results obtained with an instance of AERO running two public health surveillance applications and demonstrate benchmarking results with a synthetic application, all of which are publicly available for testing.

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Valérie Hayot-Sasson, Abby Stevens, Nicholson Collier, Sudershan Sridhar, Kyle Conroy, J. Gregory Pauloski, Yadu Babuji, Maxime Gonthier, Nathaniel Hudson, Dante D. Sanchez-Gallegos, Ian Foster, Jonathan Ozik, Kyle Chard. 2025-05-23. AERO: An autonomous platform for continuous research. https://arxiv.org/abs/2505.18408

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