Enhancing security by coordinating human and computational intelligence.

A multidisciplinary research community working with the private and public sectors to address risks in complex systems involving humans and technology.

CHPRA is organized to facilitate researcher interaction, promote new and innovative research, and transfer emerging results to business and government, responding flexibly to changing needs and challenges. The interdisciplinary nature of the center enhances research by facilitating the sharing of expertise, experience, and information across areas of specialization. The Center is also well positioned to partner with major corporations and government agencies in high-technology industries to identify effective and efficient resource allocation strategies.

CHPRA was initially inspired in part by the Exxon Valdez disaster. The recent 787 MAX crashes and the rise of self-driving cars show that finding the appropriate balance between human performance and reliance on analysis and technology is still a critical challenge. As ubiquitous computing expands, these problems become even more pressing. CHPRA is currently focusing on how humans and computers, each with their unique strengths, can share the tasks of maintaining security in an ever more complex and interconnected world.

– Risk analysis                                                                                                        – Operations research

– Reliability analysis                                                                                              – Optimal testing

– Emergency planning and response                                                                  – Information-system design and evaluation

– Decision analysis                                                                                                  – Intelligence systems

– Systems analysis                                                                                                   – Applied psychology

– Uncertainty analysis                                                                                            – Machine learning

– Game theory