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CNA HONORS JERRY MEYERLE FOR EXCEPTIONAL CONTRIBUTIONS TO US NATIONAL SECURITY

/our-media/press-releases/2023/08-2023

Dr. Jerry Meyerle receives the Phil E. DePoy Award for Analytical Excellence

Monsalve, Dr. Matthew Prebble, and Dr. Rebekah Yang; and the Mary Ann Pianka-Carey Kellam Award for Exceptional Service, to Dana Smith. Arlington, VA /images/news/releases/MEYERLG-cropped.jpg

Drone Agent based Modeling Airspace Fairness

/analyses/2023/06/drone-agent-based-modeling-airspace-fairness

UAS Cooperative Airspace Traffic Simulation (UCATS™) tool explores airspace fairness, providing insight into future decision-making for UAS traffic management.

both traffic level and package delivery filing. These variables would impact our metrics for airspace fairness under the FFFS method. Rebekah Yang Simone Walker /reports/2023/06

Informing Renormalization of COVID19

/analyses/2021/10/informing-renormalization-of-covid19

During the coronavirus disease 2019 pandemic, US jails have faced challenges in providing safety, security, programming, and care while limiting virus transmission. Data-driven insights can help inform correctional leaders as they seek to transition to more normalized operations. We customized an agent-based model, Simulation Applications for Forecasting Effective Responses in Corrections (SAFER-C), to simulate the operations, environment, and virus spread within a representative 100-bed housing unit, using de-identified data from District of Columbia Department of Corrections. Simulations indicated that most infections occur via staff-to-staff and inmate-to-inmate interactions, that benefits from higher facility vaccination rates are offset by the lower vaccination rates among intakes, and that resuming high-contact activities (e.g., basketball) may cause outbreaks. Simulation results aligned closely with practitioner experience. The detailed insights gained from this analysis suggest that SAFER-C is a valuable tool for correctional decision-makers.

as they transition to higher activity levels and resume out-of-cell activities while mitigating and managing COVID-19 transmission risks. Rebekah Yang Reena Chakraborty /reports/2021/11

cna talks: Optimally Deploying Unmanned Systems

/our-media/podcasts/cna-talks/2025/12/optimally-deploying-unmanned-systems

This episode examines a new CNA model that can help government officials optimally deploy unmanned systems, and how it overlaps with our existing tools.

Optimally Deploying Unmanned Systems This episode examines a new CNA model that can help government officials optimally deploy unmanned systems, and how it overlaps with our existing tools. /images/podcasts/CNA-Talks.webp Optimally Deploying Unmanned Systems Guest Biographies Arpita Verma  is an expert in optimization, modeling, and simulation in CNA's  Data Science for Production Program . John Crissman  is an expert in artificial intelligence (AI), machine learning (ML) and natural language processing in CNA’s Center for Data Management Analytics. Rebekah Yang  is an expert

cna talks: Moving at the Speed of Innovation — Regulating Package Delivery Drones

/our-media/podcasts/cna-talks/2023/08/moving-at-the-speed-of-innovation---regulating-package-delivery-drones

Companies, including Amazon, UPS, and Domino's are all investing in package delivery drones. These systems represent a significant paradigm shift from the current air traffic control model. With the private sector moving at the speed of innovation, the government will need new tools to regulate this new airspace. In this episode, we discuss CNA’s new agent-based model, UAS Cooperative Airspace Traffic Simulation (UCATS™), and how it can help the FAA and local stakeholders fairly regulate package delivery drone operations.

operations. Moving at the Speed of Innovation — Regulating Package Delivery Drones Guest Biographies  Rebekah Yang   is Systems Engineer with CNA’s Center for Data Management Analytics