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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 integrated, coordinated, open, networked (ICON) principles (Goldman et al., 2021, https://doi.org/10.1029/2021eo153180) 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. Plain Language Summary: Seismological observations can provide critical insights into the physical processes of the Earth's interior and associated near‐surface consequences, resulting from both natural and anthropogenic activities across spatial and temporal scales. This commentary discusses the current status and opportunities of integrated, coordinated, open, and networked (ICON) principles in seismology. As an applied discipline, seismology is highly data‐dependent and inherently relies on sensing (data acquisition) and computing (data processing and modeling) technologies. Integrating data from multiple scales and domains has improved our understanding of earthquakes and is also beneficial to adjacent disciplines, such as reservoir engineering and rock mechanics. When more open data and models are produced and integrated by coordinated acquisition systems and networked programming efforts, seismology will enable new discoveries in the Earth sciences. Key Points: We comment on the current status and potential for synergy and challenges of implementing integrated, coordinated, open, networked principles in seismologyThe integration of multi‐parametric and multi‐scale observations across disciplines benefits Earth imaging and earthquake understandingHigh‐performance computing and open‐source algorithms offer networked opportunities for a broader community to contribute to seismology [ABSTRACT FROM AUTHOR]