FPF Archive

Civic Data Privacy Leaders Convene at MetroLab Annual Summit
The Blog

September 25, 2019 | Kelsey Finch

Civic Data Privacy Leaders Convene at MetroLab Annual Summit

By Kelsey Finch, FPF Senior Counsel The MetroLab Network’s Annual Summit brought together an inspired group of civic, academic, industry, and nonprofit leaders to discuss the most important issues in smart cities and civic innovation. For the third year in a row, FPF partnered with MetroLab Network to promote data privacy perspectives and to advance responsible […]

Sidewalk Labs Releases Detailed Plans for Collaboration with City of Toronto on Quayside Smart City Project, Including Proposed Privacy and Data Protection Framework
The Blog

July 8, 2019 | Kelsey Finch

Sidewalk Labs Releases Detailed Plans for Collaboration with City of Toronto on Quayside Smart City Project, Including Proposed Privacy and Data Protection Framework

By: Suzie Allen Experts Highlight Data Protection Safeguards, Opportunities, and Risks “Master Innovation and Development Plan” will be Vetted by City Residents, Officials Last week, Sidewalk Labs unveiled its proposed “Master Innovation and Development Plan” (MIDP) for Sidewalk Toronto, a project that would design a smart city district in Toronto’s Eastern Waterfront. The proposal will […]

Municipal Leaders Joining Network to Advance Civic Data Privacy
The Blog

March 28, 2019 | editor

Municipal Leaders Joining Network to Advance Civic Data Privacy

Connected technologies and always-on data flows are helping make today’s cities and communities more livable, productive, and equitable. At the same time, these technologies raise concerns about individual privacy, autonomy, freedom of choice, and institutional discrimination. How do we leverage the benefits of a data-rich society while giving members of our community the confidence of […]

Smart Communities: A Conversation with Kelsey Finch
The Blog

February 12, 2019 | editor

Smart Communities: A Conversation with Kelsey Finch

One of FPF Policy Counsel Kelsey Finch’s areas of focus is Smart Communities, a field which draws from many of FPF’s issue areas. From her Seattle office, she has the opportunity to do hands-on work with cities in the Pacific Northwest. Last year, she worked with city officials on Seattle’s first Open Data Risk Assessment, […]

Nothing to Hide: Tools for Talking (and Listening) About Data Privacy for Integrated Data Systems
The Blog

October 31, 2018 | Kelsey Finch

Nothing to Hide: Tools for Talking (and Listening) About Data Privacy for Integrated Data Systems

Data-driven and evidence-based social policy innovation can help governments serve communities better, smarter, and faster. Integrated Data Systems (IDS) use data that government agencies routinely collect in the normal course of delivering public services to shape local policy and practice. They can use data to evaluate the effectiveness of new initiatives or bridge gaps between public services and community providers.

FPF Publishes Report Supporting Stakeholder Engagement and Communications for Researchers and Practitioners Working to Advance Administrative Data Research
The Blog

July 16, 2018 | Kelsey Finch

FPF Publishes Report Supporting Stakeholder Engagement and Communications for Researchers and Practitioners Working to Advance Administrative Data Research

The ADRF Network is an evolving grassroots effort among researchers and organizations who are seeking to collaborate around improving access to and promoting the ethical use of administrative data in social science research. As supporters of evidence-based policymaking and research, FPF has been an integral part of the Network since its launch and has chaired the network’s Data Privacy and Security Working Group since November 2017.

FPF Publishes Model Open Data Benefit-Risk Analysis
The Blog

January 30, 2018 | Kelsey Finch

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.

Examining the Open Data Movement
The Blog

January 25, 2018 | Kelsey Finch

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.