Today, FPF announced the winners of the 8th Annual Privacy Papers for Policymakers (PPPM) Award. This Award recognizes leading privacy scholarship that is relevant to policymakers in the United States Congress, at U.S. federal agencies, and for data protection authorities abroad.
Washington, DC – Today, the Future of Privacy Forum announced the winners of the 8th Annual Privacy Papers for Policymakers Award. The PPPM Award recognizes leading privacy scholarship that is relevant to policymakers in the U.S. Congress, at U.S. federal agencies, and for data protection authorities abroad. The winners of the 2017 PPPM Award are:
Analysis of personal data can be used to improve services, advance research, and combat discrimination. However, such analysis can also create valid concerns about differential treatment of individuals or harmful impacts on vulnerable communities. These concerns can be amplified when automated decision-making uses sensitive data (such as race, gender, or familial status), impacts protected classes, or affects individuals’ eligibility for housing, employment, or other core services. When seeking to identify harms, it is important to appreciate the context of interactions between individuals, companies, and governments—including the benefits provided by automated decision-making frameworks, and the fallibility of human decision-making.
On November 2-3, 2017, the Future of Privacy Forum’s Research Coordination Network partnered with Facebook, Bentley University and University of Central Florida to host a workshop titled “Bridging Industry and Academia to Tackle Responsible Research and Privacy Practices”. As the title infers, the purpose of the workshop was to bring together key stakeholders from across industry, civil society, and academia to advance the privacy research agenda, focusing on topics including data analytics and privacy-preserving technologies, privacy and ethics in user research and people-centered privacy design.
FPF offers up-and-coming privacy professionals fellowship opportunities, often giving college graduates experience in the privacy world. In this post, we will take a look at some of FPF’s former employees who have gone on to impressive privacy careers.
Details on the EU-US privacy engineering workshop were published in European Data Protection Supervisor’s latest newsletter. This workshop was organized by the Internet Privacy Engineering Network (IPEN), Future of Privacy Forum, KU Leuven and Carnegie Mellon University, on November 10, in Leuven.
The nature of the digital economy is as such that it will force the creation of multi-competent supervisory authorities sooner rather than later. What if the European Data Protection Board would become in the next 10 to 15 years an EU Digital Regulator, looking at matters concerning data protection, consumer protection and competition law, having “personal data” as common thread? This is the vision Giovanni Buttarelli, the European Data Protection Supervisor, laid out last week in a conversation we had at the IAPP Data Protection Congress in Brussels.
The Smart Cities and Open Data movements promise to use data to spark civic innovation and engagement, promote inclusivity, and transform modern communities. At the same time, advances in sensor technology, re-identification science, and Big Data analytics have challenged cities and their partners to construct effective safeguards for the collection, use, sharing, and disposal of personal information.
“What data is being transmitted and what data is being used really depends on the device,” Verdi said. “They can offload that information from the device to servers on the internet that are either controlled by the companies or third parties and there’s some processing that can happen there.”
Washington, DC – Today, the Future of Privacy Forum released a new study, Understanding Corporate Data Sharing Decisions: Practices, Challenges, and Opportunities for Sharing Corporate Data with Researchers. In this report, FPF reveals findings from research and interviews with experts in the academic and industry communities. Three main areas are discussed: 1) The extent to which leading companies make data available to support published research that contributes to public knowledge; 2) Why and how companies share data for academic research; and 3) The risks companies perceive to be associated with such sharing, as well as their strategies for mitigating those risks.