Collaborative analytics for biological facility characterization

Jacob P. Caswell; Kelsey L. Cairns; Christina L. Ting; Mark W. Hansberger; Matthew A. Stoebner; Thomas R. Brounstein; Christopher R. Cueller; Elizabeth R. Jurrus

doi:10.1117/12.2307770

4 May 2018 Collaborative analytics for biological facility characterization

Jacob P. Caswell, Kelsey L. Cairns, Christina L. Ting, Mark W. Hansberger, Matthew A. Stoebner, Thomas R. Brounstein, Christopher R. Cueller, Elizabeth R. Jurrus

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Proceedings Volume 10635, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX; 1063508 (2018) https://doi.org/10.1117/12.2307770
Event: SPIE Defense + Security, 2018, Orlando, FL, United States

Abstract

Thousands of facilities worldwide are engaged in biological research activities. One of DTRA’s missions is to fully understand the types of facilities involved in collecting, investigating, and storing biological materials. This characterization enables DTRA to increase situational awareness and identify potential partners focused on biodefense and biosecurity. As a result of this mission, DTRA created a database to identify biological facilities from publicly available, open-source information. This paper describes an on-going effort to automate data collection and entry of facilities into this database. To frame our analysis more concretely, we consider the following motivating question: How would a decision maker respond to a pathogen outbreak during the 2018 Winter Olympics in South Korea? To address this question, we aim to further characterize the existing South Korean facilities in DTRA’s database, and to identify new candidate facilities for entry, so that decision makers can identify local facilities properly equipped to assist and respond to an event. We employ text and social analytics on bibliometric data from South Korean facilities and a list of select pathogen agents to identify patterns and relationships within scientific publication graphs.

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Jacob P. Caswell, Kelsey L. Cairns, Christina L. Ting, Mark W. Hansberger, Matthew A. Stoebner, Thomas R. Brounstein, Christopher R. Cueller, and Elizabeth R. Jurrus "Collaborative analytics for biological facility characterization", Proc. SPIE 10635, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX, 1063508 (4 May 2018); https://doi.org/10.1117/12.2307770

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KEYWORDS

Pathogens

Analytics

Databases

Analytical research

Statistical analysis

Visualization

Defense and security

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