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Workshop Report: Privacy & Pandemics – Responsible Use of Data During Times of Crisis
In October 2020, the Future of Privacy Forum (FPF) convened a virtual workshop entitled “Privacy and Pandemics: Responsible Uses of Technology and Health Data During Times of Crisis” with invited computer science, privacy law, public policy, social science, and health information experts from around the world to examine benefits, risks, and strategies for the collection […]
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[…] Sciences 117, no. 38 (2020) : 23490 -23498, DOI: 10.1073/pnas.2001682117; National Research Council. 2005. “Expanding Access to Research Data: Reconciling Risks and Opportunities.” Washington, DC. 31 Parthasarathy, Srinivasan. 2020. “Data Science Technology and Governance Challenges Du ring Crisis Response.” Privacy & Pandemics Workshop Working Paper 39. Future of Privacy Forum, October 27. 12 4.1.2 […]
Machine Learning and Speech: A Review of FPF’s Digital Data Flows Masterclass
On Wednesday, December 9, 2020, FPF hosted a Digital Data Flows Masterclass on Machine Learning and Speech. The masterclass on Machine Learning and Speech is the first masterclass of a new series after completing the VUB-FPF Digital Data Flows Masterclass series with eight topics. Professor Marine Carpuat (Associate Professor in Computer Science at the University of Maryland) starts […]
COVID-19: FEDERATED LEARNING FOR PRIVACY PRESERVING MULTI-INSTITUTIONAL COLLABORATION
COVID-19: FEDERATED LEARNING FOR PRIVACY PRESERVING MULTI-INSTITUTIONAL COLLABORATION
Tech is not the Limit | Trust is: Why apps could not solve this crisis and will not solve the next
[…] apps: centralized apps where the data are stored by a central authority and decentralized apps that send and store data in a distributed manner. If implemented as promised, a decentralized app (most use the Google/Apple-supported privacy-respecting approach and API 3 ) can prevent, or at least limit, the abuse of data. But this approach […]
Tech is not the Limit | Trust is: Why apps could not solve this crisis and will not solve the next
[…] apps: centralized apps where the data are stored by a central authority and decentralized apps that send and store data in a distributed manner. If implemented as promised, a decentralized app (most use the Google/Apple-supported privacy-respecting approach and API 3 ) can prevent, or at least limit, the abuse of data. But this approach […]
Making Real-World Data Useful within the New Drug Application Process
Making Real-World Data Useful within the New Drug Application Process
Making Real-World Data Useful within the New Drug Application Process
Making Real-World Data Useful within the New Drug Application Process