ACCESS NYC is an online public screening tool that residents can use to determine the City, State, and Federal health and human service benefit programs for which they are eligible.
NYC's official resource for teens and young adults, including: peer & professional support, family support, education, health care, housing, employment, and other resources to help young people thrive.
This guide discusses general characteristics shared by organizations that have successfully created accessible content, and includes case studies that showcase characteristics of successful accessible content teams.
Better designs should never come at the cost of another person’s wellbeing. Informed consent is a fundamental part of an ethical research program, which respects participants and protects them from harm.
The guidelines for bias-free language contain both general guidelines for writing about people without bias across a range of topics and specific guidelines that address the individual characteristics of age, disability, gender, participation in research, racial and ethnic identity, sexual orientation, socioeconomic status, and intersectionality.
This essay explains why the Center on Privacy & Technology has chosen to stop using terms like "artificial intelligence," "AI," and "machine learning," arguing that such language obscures human accountability and overstates the capabilities of these technologies.
This report explores strategies for developing a new generation of technologists dedicated to public interest work, emphasizing the need for a stronger talent pipeline to support government and nonprofit technology initiatives.
This report offers a critical framework for designing algorithmic impact assessments (AIAs) by drawing lessons from existing impact assessments in areas like environment, privacy, and human rights to ensure accountability and reduce algorithmic harms.
The Policy Rules Database (PRD), developed by the Federal Reserve Bank of Atlanta and the National Center for Children in Poverty, consolidates complex rules for major U.S. federal and state benefit programs and tax policies into a standardized, easy-to-use format. This database allows researchers to model public assistance impacts, simulate policy changes, and analyze benefits cliffs across various household scenarios using common rules and language across different programming platforms.
