Assessment of Open Source Development of Critical Infrastructure and their Vulnerabilities, Risk & ResilienceThe recent COVID outbreak has demonstrated that understanding the risk and the resilience of Critical Infrastructure (CI) is extremely challenging and in an effort to be prepared for future shocks, requires more research into known and unknown hazards. In addition, impacts like climate change, land use change, and population growth will continue to compound the risk and resiliency of our CI. As such, production of high-quality CI which can be freely shared and used to perform analytics to address risk and resiliency, reveal vulnerable populations, and better understand climate change impacts is necessary. This type of research supports national security, emergency response and development of sustainability initiatives, and policy by local and national governments and communities.
In this session we intend to focus on two broad areas of 1.) creation of critical infrastructure to address vulnerability, risk and resiliency and 2.) usage of such datasets for addressing risk and resiliency from pandemic outbreak (Covid19), climate change and extreme weather impacts, and sea-level rise.We expect papers to address (but not limited to) some of the following issues:1. Tools and techniques for harvesting and converting massive amounts of open source data to spatial data:a. Data fusion techniques to ingest data from widely disparate sources in widely disparate formats.b. Methodology and challenges to ensure that geolocations from source data is on entity.c. Applications showcasing spatially enabled critical infrastructure data derived from open source.d. Database management and challenges associated with creation and maintenance of open source derived spatial data. e. Examples of geospatial datasets created from open source data.2. Use of critical infrastructure data to:a. Understand spread, impact, and control of pandemics (Covid19).b. Understand impact of sea-level rise on critical infrastructure, land use, and its impact on economy and population distribution and dynamics.c. Estimate climate and weather impacts on population and critical infrastructure finer resolution.d. Use critical infrastructure data to understand socio-economic vulnerability at higher spatial resolutions (e.g. sub-county).e. Any application of critical infrastructure data.
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