Thread: SSA Session: Emerging Developments in Operational Monitoring Systems and Products

Started: 2022-12-20 21:43:55
Last activity: 2022-12-20 21:43:55
We invite you to submit an abstract to the 2023 SSA Annual Meeting session on Emerging Developments in Operational Monitoring Systems and Products! This session seeks presentations showcasing how cutting-edge operational software, products, monitoring, and instrumentation are advancing the geophysical community at large. Please find a brief session description below. The meeting takes place on April 17-20 2023 in San Juan, Puerto Rico. Abstracts are due January 11 2023.

Emerging Developments in Operational Monitoring Systems and Products

Software tools for processing and analyzing geophysical data have continued to evolve along with advancements in monitoring instrumentation and technology. The broad seismic monitoring, assessment and research community must keep up with these advancements in order to quickly and reliably detect events, derive scientific products and distribute this scientific information to a wide array of consumers. In this session we invite presentations that explore emerging developments in operational monitoring systems, interfaces and products. This scope includes, but is not limited to, how various technologies (e.g., cloud-based, orchestration, web services, data streaming) and algorithms or methodologies (e.g., AI/ML, parallel processing) are improving operational monitoring systems for near-real-time processing or rapid delivery of information to human or machine consumers. Abstracts detailing enhancements to code or infrastructure used in the near real-time generation of data products are encouraged. Examples of advancements in monitoring systems via the integration of multiple kinds of data (e.g., geodetic, seismic, DAS, social media, etc.) as well as making software/code, models and interfaces FAIR (findable, accessible, interoperable, and reusable) to a broader scientific community are also important topics of interest.

Thank you,

Kirstie Haynie (USGS) <khaynie<at>usgs.gov>, Michelle Guy (USGS), and Ellen Yu (Southern California Earthquake Data Center)
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