In the last nine months the world has seen the emergence of information technologies designed to provide portable proximity detection for the purpose of limiting the spread of respiratory infectious diseases. These technologies include wearables that provide alerts when social distance is not maintained, applications that enable coordination with public health officials to provide exposure notification and/or augment manual contact tracing, and the use of encounter metrics to inform space occupancy limits and environmental controls management. Efforts to address questions about effectiveness and privacy are taking place within non-profit organizations, academia, commercial entities, public health and government.
This workshop is a forum to discuss successes and challenges associated with implementation of proximity detection technologies and identify areas in which additional effort is required. These areas could be, but are not limited to, privacy and cybersecurity concerns, testbeds, machine learning algorithms, efficacy modelling, new technologies, data and standards, validation and verification, and commercialization. NIST invites the community of stakeholders to participate in the workshop by sharing their views on future needs for this rapidly developing discipline. The first day features speakers on a variety of aspects of proximity detection and the existing challenges. The second day features a panel discussion and facilitated break-out sessions that provide opportunity for community engagement on ways to overcome the challenges presented in the first day. The final day features a reports from the break-out session and a wrap-up discussion.
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