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A team of researchers at New York University will develop new methods and tools aimed at minimizing systemic biases and producing more equitable public policy impacts on such areas as city housing inspections, policing, and courts.
Under a $1 million grant from the National Science Foundation (NSF) and Amazon, Computer Science Professor Daniel B. Neill will lead the three-year research project centered on the growing use of Artificial Intelligence (AI) by urban public sector organizations work that will include the creation of open source tools for assessing and correcting biases. Human decisions and algorithmic decisions have potential for systematic biases that may lead to poor downstream outcomes such as disparities and inequity across racial, gender, and socioeconomic lines, said Neill, a professor at NYU s Wagner Graduate School of Public Service and the Center for Urban Science and Progress (CUSP) at NYU s Tandon School of Engineering. What we want to understand
Top Websites for Urban Planning – 2020
Planetizen s annual list of the best of the planning Internet in a year inextricably defined by the uncertainty and constraints of the COVID-19 pandemic. December 14, 2020, 8am PST | James Brasuell |
The events of the year have shown with intense clarity the deep and broad intersectionality of planning. It is nearly impossible to extract consideration of the public health, economic, and social risks of the pandemic from a discussion of planning, both in practice and in theory.
This intersectionality of planning extends to the digital realm. The pandemic has brought new attention to the power of the Internet as a tool for building and protecting the world, and planning expertise has been essential in every new phase of this ordeal. Digital tools like those below, and others like them, will continue to empower effective action as the world begins to pick up the pieces of 2020 and, hopefully, undertake a regenerative recovery in 2021 and