data science / en Âé¶¹ÊÓÆµ researchers receive funding for study aimed at detecting criminal disruption of supply chains /news/2021-11/mason-researchers-receive-funding-study-aimed-detecting-criminal-disruption-supply <span>Âé¶¹ÊÓÆµ researchers receive funding for study aimed at detecting criminal disruption of supply chains </span> <span><span>Martha Bushong</span></span> <span><time datetime="2021-11-04T09:38:56-04:00" title="Thursday, November 4, 2021 - 09:38">Thu, 11/04/2021 - 09:38</time> </span> <div class="layout layout--gmu layout--twocol-section layout--twocol-section--30-70"> <div class="layout__region region-first"> <div data-block-plugin-id="field_block:node:news_release:field_associated_people" class="block block-layout-builder block-field-blocknodenews-releasefield-associated-people"> <h2>In This Story</h2> <div class="field field--name-field-associated-people field--type-entity-reference field--label-visually_hidden"> <div class="field__label visually-hidden">People Mentioned in This Story</div> <div class="field__items"> <div class="field__item"><a href="/profiles/cdomenic" hreflang="und">Carlotta Domeniconi</a></div> <div class="field__item"><a href="/profiles/sean" hreflang="und">Sean Luke</a></div> </div> </div> </div> </div> <div class="layout__region region-second"> <div data-block-plugin-id="field_block:node:news_release:body" class="block block-layout-builder block-field-blocknodenews-releasebody"> <div class="field field--name-body field--type-text-with-summary field--label-visually_hidden"> <div class="field__label visually-hidden">Body</div> <div class="field__item"><p class="paragraph"><span><span><span><span>Carlotta Domeniconi,</span>&nbsp;<span><span><span>associate professor, <a href="https://cs.gmu.edu/directory/detail/12/" target="_blank">computer science;</a></span></span></span>&nbsp;<span>Sean Luke, professor, computer science, and Hamdi Kavak,</span>&nbsp;<span><span><span>assistant professor, computational and data sciences,</span></span></span>&nbsp;<span><span><span>received $1 million from the U.S. Department of Homeland Security for their grant</span></span></span>&nbsp;<span><span>"Detecting Criminal Disruption of Supply Chains Study."&nbsp;</span></span>&nbsp;</span></span></span></p> <p class="paragraph"><span><span><span><span><span>The goal of this work is to use simulation to identify possible ways that criminal organizations might be able to disrupt or damage important supply chain networks: for examining how criminals might disrupt the manufacturing and distribution process of a large drug company or a gasoline distributor. To do this, the researchers are modeling both criminal operations and supply chains and their interactions, trying to identify attack points; to develop indicators that can alert authorities and supply chain operators about pending, active, or past attacks; and to offer ways to mitigate vulnerabilities and reduce attack impacts. The project will use both subject matter expertise and automated learning techniques to develop the models. The Âé¶¹ÊÓÆµ team brings to this project strong experience and expertise in machine learning, simulation, geographical information science, stochastic optimization, and social science.</span></span>&nbsp;<br><br> &nbsp;<br><br> <span><span>The team will work closely with its collaborators at the University of Buffalo, Rutgers University, and the <a href="https://cina.gmu.edu/" title="Criminal Investigations Network Analysis Center">Criminal Investigations and Network Analysis Center</a> at Âé¶¹ÊÓÆµ. The developed methodology will be applied to drug and vaccine supply chains, among others relevant to the current COVID-19 pandemic (e.g., personal protective equipment and medical and laboratory equipment).</span>&nbsp;<br><br> &nbsp;<br><br> <span>Funding for this project began in September 2021 and will end in September 2023.</span></span></span></span></span></p> <p class="paragraph"><em><span><span><span><span><span>This brief was provided by the Office of Research, Innovation, and Economic Development.</span></span></span></span></span></em></p> </div> </div> </div> <div data-block-plugin-id="field_block:node:news_release:field_content_topics" class="block block-layout-builder block-field-blocknodenews-releasefield-content-topics"> <h2>Topics</h2> <div class="field field--name-field-content-topics field--type-entity-reference field--label-visually_hidden"> <div class="field__label visually-hidden">Topics</div> <div class="field__items"> <div class="field__item"><a href="/taxonomy/term/3071" hreflang="en">College of Engineering and Computing</a></div> <div class="field__item"><a href="/taxonomy/term/2481" hreflang="en">School of Computing</a></div> <div class="field__item"><a href="/taxonomy/term/3731" hreflang="en">data science</a></div> </div> </div> </div> </div> </div> Thu, 04 Nov 2021 13:38:56 +0000 Martha Bushong 56641 at