![Dc Heatmap](https://fpf.org/wp-content/uploads/2018/01/DC-Heatmap.jpg)
If You Can't Take the Heat Map: Benefits & Risks of Releasing Location Datasets
Strava’s location data controversy demonstrates the unique challenges of publicly releasing location datasets (open data), even when the data is aggregated.
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FPF Publishes Model Open Data Benefit-Risk Analysis
This Report first describes inherent privacy risks in an open data landscape, with an emphasis on potential harms related to re-identification, data quality, and fairness. To address these risks, the Report includes a Model Open Data Benefit-Risk Analysis (“Model Analysis”). The Model Analysis evaluates the types of data contained in a proposed open dataset, the potential benefits – and concomitant risks – of releasing the dataset publicly, and strategies for effective de-identification and risk mitigation.
![Seattle](https://fpf.org/wp-content/uploads/2017/08/seattle.jpg)
New Future of Privacy Forum Study Finds the City of Seattle’s Open Data Program a National Leader in Privacy Program Management
Today, the Future of Privacy Forum released its City of Seattle Open Data Risk Assessment. The Assessment provides tools and guidance to the City of Seattle and other municipalities navigating the complex policy, operational, technical, organizational, and ethical standards that support privacy-protective open data programs.
![Chart 1200x289](https://fpf.org/wp-content/uploads/2018/01/Chart_1200x289.jpg)
Examining the Open Data Movement
The transparency goals of the open data movement serve important social, economic, and democratic functions in cities like Seattle. At the same time, some municipal datasets about the city and its citizens’ activities carry inherent risks to individual privacy when shared publicly. In 2016, the City of Seattle declared in its Open Data Policy that the city’s data would be “open by preference,” except when doing so may affect individual privacy.[1] To ensure its Open Data Program effectively protects individuals, Seattle committed to performing an annual risk assessment and tasked the Future of Privacy Forum (FPF) with creating and deploying an initial privacy risk assessment methodology for open data.
![Folder By Smutjespickles](https://fpf.org/wp-content/uploads/2017/04/folder-by-smutjespickles-scaled.jpg)
Public comments on proposed Open Data Risk Assessment for the City of Seattle
FPF requested feedback from the public on its proposed Draft Open Data Risk Assessment for the City of Seattle. In 2016, the City of Seattle declared in its Open Data Policy that the city’s data would be “open by preference,” except when doing so may affect individual privacy. To ensure its Open Data program effectively protects individuals, Seattle committed to performing an annual risk assessment and tasked FPF with creating and deploying an initial privacy risk assessment methodology for open data.
![Hogan Cars Event](https://fpf.org/wp-content/uploads/2018/01/Hogan-Cars-Event.jpg)
Privacy and the Connected Vehicle: Navigating the Road Ahead (January 23, 2018 in Washington, DC)
Join Hogan Lovells and FPF for an event focused on data issues related to connected cars and the future of mobility on January 23, 2018, from 9:45 AM – 2:00 PM. This half-day event will highlight industry privacy practices, regulatory developments, and emerging uses of mobility data.
![Pawel Nolbert 291146](https://fpf.org/wp-content/uploads/2017/07/pawel-nolbert-291146-scaled.jpg)
Roundtable Discussion: Smart Cities and Open Data (2017 MetroLab Network Annual Summit)
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.
![Image 106 By Brad Flickinger 1](https://fpf.org/wp-content/uploads/2017/11/image_106-by-Brad-Flickinger-1.jpg)
The Top 10: Student Privacy News (October-November 2017)
The Future of Privacy Forum tracks student privacy news very closely, and shares relevant news stories with our newsletter subscribers. Approximately every month, we post “The Top 10,” a blog with our top student privacy stories.
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Spotlight on PPPM Judges (2017)
In December, the Future of Privacy Forum will announce the winners of the 2017 Privacy Papers for Policymakers Award. Each year, FPF awards the Privacy Papers for Policymakers Award to the authors of leading privacy research and analytical work that is relevant to policymakers in the United States Congress, at U.S. federal agencies, and for data […]
![Hong Kong](https://fpf.org/wp-content/uploads/2017/09/Hong-Kong.jpg)
Artificial Intelligence, Machine Learning, and Ethical Applications
On September 25, 2017, the Future of Privacy Forum and the Information Accountability Foundation will co-host an official side event at the International Conference of Data Protection Commissioners. The event follows IAF’s publication of Artificial Intelligence, Ethics and Enhanced Data Stewardship, and FPF’s curation of leading research highlighting the privacy challenges posed by artificial intelligence.