Digital Identity, Privacy, and Trust Meetup

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Digital Identity, Privacy, and Trust Meetup

Join us Wednesday, February 15, for a meetup about digital identities and privacy.

When and where

Date and time

Location

Capital Factory 701 Brazos St Devvie Room Austin, TX 78701

Map and directions

How to get there

About this event

  • 1 hour 30 minutes
  • Mobile eTicket

Almost everyone now has many different digital identities, mostly disconnected from each other—and yet companies are exchanging/selling data and monetizing your personal identity data. Can we simplify how we manage our digital identity and add compensation while enhancing privacy and control of when our data is sold?

Join us for the discussion (meetup format) with opening and closing comments from thought leaders, experts, and practitioners. Share ideas, reactions, and recommendations that may help you, your company, or other companies and organizations improve the security and value of digital identities.

After the discussion at Capital Factory, we invite you to join us Upstairs at Caroline for networking.

Registration and Attendance Instructions

All participants must register for this event via Eventbrite. This will be an in-person event. This event will be held In the Devvie Room at Capital Factory, located at 701 Brazos St., Austin, TX 78701. Join us for networking after the event at Upstairs at Caroline, located at 621 Congress Ave, Austin, TX 78701.

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Jay Williams​, Vice President, Frontier Marketplaces

Jay Williams has been a chief technology officer and consultant to many of the Fortune 500. As a consultant he has developed a highly refined process for managing a company’s technology infrastructure, including applications, security, and network assets. Jay is a highly sought-after, enterprise systems architect and problem solver. He has advised a number of high profile technology companies on their products and is known for a rare combination of deep technology expertise, expert problem solving ability and business acumen. Jay is widely respected by peers and has influenced many pivotal technology consortia and industry steering groups. He regularly consults with senior technology and business executives and is frequently consulted by venture and capital investors for analyses of new technology strategies.

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Amy Winecoff Ph.D., Research Fellow, Princeton University’s Center for Information Technology Policy (CITP) and Center for Statistics and Machine Learning (CSML)

Amy Winecoff (Ph.D., Psychology & Neuroscience, Duke University) is a research fellow at Princeton University’s Center for Information Technology Policy (CITP) and Center for Statistics and Machine Learning (CSML). Using a combination of qualitative, quantitative, and simulation techniques, she studies how technology communities develop algorithmic systems such as artificial intelligence (AI) and blockchain platforms and how these systems evolve over time. She also serves on the advisory board of the eLab startup accelerator program hosted by Princeton’s Keller Center for Innovation in Engineering Education and conducts workshops on incorporating ethical deliberation into technology development processes. Prior to joining Princeton, Winecoff worked as an Assistant Professor of Psychology at Bard College and as a data scientist for e-commerce technology companies, where she developed large-scale machine learning systems for providing product recommendations. She has published numerous academic articles and book chapters on psychology, neuroscience, machine learning, and human-computer interaction.

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