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\begin{document}

\title{Seismology Perspectives on Integrated, Coordinated, Open, Networked
(ICON) Science}



\author[1,1]{Lei Li}%
\author[2,2]{Wing Ching Jeremy Wong}%
\author[3,3]{Benjamin Schwarz}%
\author[4,4]{Tsz Lam Lau}%
\affil[1]{Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring, Central South University}%
\affil[2]{Scripps Institution of Oceanography, University of California San Diego}%
\affil[3]{GFZ German Research Centre for Geosciences}%
\affil[4]{The Chinese University of Hong Kong}%


\vspace{-1em}



  
  \date{May 26, 2024}


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\begin{abstract}
Seismology focuses on the study of earthquakes and associated phenomena
to characterize seismic sources and Earth structure, which both are of
immediate relevance to society. This article is composed of two
independent views on the state of the ICON principles (Goldman et al.,
2021) in seismology and reflects on the opportunities and challenges of
adopting them from a different angle. Each perspective focuses on a
different topic. Section 1 deals with the integration of multiscale and
multidisciplinary observations, focusing on integrated and open
approaches, whereas Section 2 discusses computing and open-source
algorithms, reflecting coordinated, networked, and open principles. In
the past century, seismology has benefited from two co-existing
technological advancements - the emergence of new, more capable sensory
systems and affordable and distributed computing infrastructure.
Integrating multiple observations is a crucial strategy to improve the
understanding of earthquake hazards. However, current efforts in making
big datasets available and manageable lack coherence, which makes it
challenging to implement initiatives that span different communities.
Building on ongoing advancements in computing, machine learning
algorithms have been revolutionizing the way of seismic data processing
and interpretation. A community-driven approach to code management
offers open and networked opportunities for young scholars to learn and
contribute to a more sustainable approach to seismology. Investing in
new sensors, more capable computing infrastructure, and open-source
algorithms following the ICON principles will enable new discoveries
across the Earth sciences.%
\end{abstract}%



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