Pixelated face, as part of CDT's Equity in Civic Technology Project. Original image by Joanna Nix-Walkup on Unsplash.

Equity in Civic Technology

Public agencies and civic institutions increasingly rely on data and technology to carry out their responsibilities, from designing educational programs and providing healthcare options for uninsured families, to allocating unemployment benefits and addressing food and housing instability. As governments expand their use of technology and data, it is critical that they do so in ways that affirm individual privacy, respect civil rights, foster inclusive participatory systems, promote transparent and accountable oversight, and advance just social structures within the broader community.

CDT furthers these goals by providing balanced advocacy that promotes the responsible use of data and technology while protecting the privacy and civil rights of individuals. We engage with these issues from both technical and policy-minded perspectives, creating solutions-oriented policy resources and actionable technical guidance.

Featured Content

CDT webinar on February 25, 2021, entitled "Tech Tales: Discussing Privacy & Tech Use with Parents & Education Leaders"

CDT Tech Tales: Discussing Privacy & Tech Use with Parents & Education Leaders

CDT Leads Letter to New York City Council on Pending Automated Employment Tools Bill

Screen Shot of CDT's Two Pager on Responsible Use of Data and Technology in Education: Community Engagement to Ensure Students and Families Are Helped, Not Hurt

Responsible Use of Data and Technology in Education: Community Engagement to Ensure Students and Families Are Helped, Not Hurt

CDT Report, entitled "Data Ethics in Education and the Social Sector: What Does It Mean and Why Does it Matter?"

Report – Data Ethics in Education and the Social Sector: What Does It Mean and Why Does it Matter?

CDT's Thinkific training course on "Algorithmic Systems in Education."

Training Module: Algorithmic Systems in Education

Screen Shot of CDT's Two Pager on Managing Equity and Bias in Algorithmic Systems

Responsible Use of Data and Technology in Education: Managing Equity and Bias in Algorithmic Systems

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