Explore NIST's Privacy Engineering Collaboration Space

Tuesday, August 13, 2019 - 10:15 am10:30 am

Kaitlin Boeckl, NIST

Abstract: 

Explore NIST’s recently-launched Privacy Engineering Collaboration Space and learn how you can engage at this session led by NIST. The Privacy Engineering Collaboration Space is an online venue open to the public where practitioners can discover, share, discuss, and improve upon open source tools, solutions, and processes that support privacy engineering and risk management. Individuals affiliated with organizations ranging from Google to the Future of Privacy Forum have shared tools and use cases. The space has an initial focus on de-identification, to include differential privacy techniques, and privacy risk assessment. Join this session for more about contributions to date and how you can contribute.

Kaitlin Boeckl, NIST

Katie Boeckl is a privacy risk strategist at the National Institute of Standards and Technology (NIST) as part of the Privacy Engineering Program and the Privacy Framework team. Katie manages the Privacy Engineering Collaboration Space, works to advance international privacy standards, and develops privacy risk management guidance. At NIST, she has served as a co-author for NIST Special Publication (SP) 800-37, revision 2: Guide for Applying the Risk Management Framework to Federal Information Systems, worked to implement the National Strategy for Trusted Identities in Cyberspace (NSTIC), and contributed to NIST SP 800-63, revision 3: Digital Identity Guidelines. Katie has a B.A. in English from the University of Maryland, College Park, where she specialized in technology through a digital cultures honors program.

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BibTeX
@inproceedings {238182,
author = {Kaitlin Boeckl},
title = {Explore {NIST{\textquoteright}s} Privacy Engineering Collaboration Space},
booktitle = {2019 {USENIX} Conference on Privacy Engineering Practice and Respect ({PEPR} 19)},
year = {2019},
address = {Santa Clara, CA},
url = {https://www.usenix.org/node/238183},
publisher = {USENIX Association},
month = aug
}