Santa Clara, CA
Researchers, computer scientists and data scientists from a range of disciplines are working with increasingly large, multi-dimensional datasets in the context of complex networks and computing infrastructure. Data generated by these advanced applications are often subject to an evolving landscape of protection requirements, due to the involvement of human subjects or critical physical infrastructure. How do we secure the data, the network, and the computer to meet this challenge?
This one-day workshop will convene researchers from a variety of disciplines who are leading these trends through their work in biology and medicine, public health and the social sciences, and other fields. In addition, IT service providers and security architects will describe new services and platforms being developed to provide secure research data management and computation capabilities at scale, while managing challenges of authentication, access control, and privacy protection. We will also present advanced theory on the tradeoffs between engineering systems for complexity and robustness, and how this tradeoff in itself can create fragility.
Identify and discuss research trends and patterns across domains, especially where large restricted or sensitive data are being mobilized for collaborations among researchers at different sites
Examine the state of secure research data and compute infrastructure services, design patterns, and supporting capabilities that are providing models for sustainable and scalable solutions
Discuss infrastructure standards, and share resources, knowledge, and structures for best practices