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Research on SARS-CoV-2 and its social implications have become a major focus to interdisciplinary teams worldwide. As interest in more direct solutions, such as mass testing and vaccination grows, several studies appear to be dedicated to the operationalization of those solutions, leveraging both traditional and new methodologies, and, increasingly, the combination of both. This research examines the challenges anticipated for preventative testing of SARS-CoV-2 in schools and proposes an artificial intelligence (AI)-powered agent-based model crafted specifically for school scenarios. This research shows that in the absence of real data, simulation-based data can be used to develop an artificial intelligence model for the application of rapid assessment of school testing policies.

Submission ID: 1099097025File name: ational_Inf ormation_Sharing_IIS_Success_in_the_Public_Sector.pdf (351.79K) Word count: 7584Character count: 43162

Governments have vast data resources related to a wide-variety of policies and programs. Integrating and sharing data across agencies and departments can add value to these data resources and bring about significant changes in public services as well as better government decisions. However, in addition to the lack of standards and an adequate information architecture, the main obstacles to a centralized government data-sharing strategy are security and privacy concerns. Blockchain - a decentralized peer-to-peer distributed ledger technology - provides a new way to develop sharing mechanisms. In addition, blockchain-based systems are difficult to tamper with and are highly traceable. Based on the current problems of a big data center in the city of Ningbo, China, this paper identifies limitations of this approach and explores the potential of some data sharing mechanism based on blockchain technology. Our analysis describes some potential advantages and the feasibility of using distributed data sharing and automated management mechanisms based on blockchain smart contracts. We also explore implementation challenges and provide some practical recommendations.

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