The Center for Accelerating Operational Efficiency (CAOE), led by Arizona State University, develops and applies advanced analytical tools and technologies to enhance planning, information sharing and real-time decision-making in homeland security operations.
The research at CAOE will help the Department of Homeland Security improve efficiency and security at our national borders, ports and airports through better prediction and response to emergencies.
Established as a Center of Excellence by the Department of Homeland Security Science and Technology Directorate.
Featured projects
Strengthening Trust in Large Language Models
The emergence of large language models (LLMs) such as ChatGPT has revolutionized information retrieval and interaction, particularly in intelligence analysis. However, concerns about their trustworthiness in security-critical applications persist due to security risks, factuality issues and biases. The project proposes a multifaceted approach to evaluating and enhancing the trustworthiness of large language models (LLMs), addressing key concerns related to security, factuality and biases.
Enhancing AI for Homeland Security
The Multisource AI Scorecard Table (MAST) for Evaluating Generative AI in Worker-Automation Team Tasks (MEGAWATT) project aims to leverage MAST, a tool rooted in Intelligence Community Directive (ICD) 203, to evaluate and enhance the performance of large language models (LLMs) like OpenAI’s ChatGPT.
Unlocking Software Safety with CHIAUS
The CHIAUS project aims to revolutionize risk communication in software development and consumption by integrating human-centered interactions with Software Bill of Materials (SBOM) data. Led by Principal Investigator L Jean Camp and her team at Indiana University, the project addresses the pressing need for actionable, understandable risk communication in the software ecosystem.
Fortifying Security Screenings by examining human-AI interaction
In the realm of safety science, a paradigm shift towards resilience engineering offers new insights into addressing the challenges of complex systems, particularly in high-stakes environments like security screening. This project, Resilience Engineering for Visual Screening in Security Settings (REVS), aims to advance the understanding of resilience engineering principles within the context of security screening tasks.
Recent news and events
RFP for Minority Serving Institutions to join student design challenge
To ensure the Department of Homeland Security can continue to operate efficiently, it is imperative to maintain an active pipeline of new homeland security professionals. One of the most efficient ways to encourage college students to pursue careers within the homeland security enterprise is to expose them to real-world homeland security issues.
Seminar Series: Privacy Enhancing Technologies (PETS) – Dr. Lorrie Cranor – Replay Available
The final seminar in this series will feature capstone speaker Dr. Lorrie Cranor. She will be discussing user-centric approaches to designing and evaluating privacy interfaces that better meet user needs and reduce the overwhelming number of privacy choices.
Seminar Series: Privacy Enhancing Technologies (PETS) – Dr. Alisa Frik
The Center for Accelerating Operational Efficiency (CAOE) invites you to our latest seminar series Privacy Enhancing Technologies – Challenges, Opportunities, and Advancements. The next seminar features Dr. Alisa Frik who will be discussing the challenging task of balancing privacy values with the benefits of information sharing.
Split-second decision-making. Wise allocation of scarce resources. Accurately predicting cascading consequences of natural and manmade disasters.
These are just some of the complex challenges our country’s homeland security workforce faces each day. The research, systems and technology developed at CAOE provide homeland security agencies with real-time information, predictive tools for resource and response planning, and systems that increase the odds of resolving security problems.
Improving Airport Checkpoints
Dynamic resource allocation for predicted demands at a network of screening facilities.
Social media
Follow us on social media to stay up-to-date with current opportunities to collaborate, ongoing projects and cutting-edge research.
