Tuesday February 25, 2020 2:45pm - 4:00pm
Data. People talk about data as oil, a natural resource that both fuels opportunity and devastates the planet. People talk about data with reverence, as though if we only had more data, we could solve the world's problems. The hype is profound, especially as the conversation turns to artificial intelligence. Data become legitimate because we collectively believe that those data are sound, valid, fit-for use. This means that there is power in collecting and disseminating the data, but there is also power in interpreting and manipulating the data. The struggle over data's legitimacy says more about our society - and our values - than it says about the data itself.
NISO Plus 2020
Continuing in the tradition of the NFAIS conference which ran for 61 years, in February of 2020 we inaugurated the 62nd year and celebrate the merger of NISO and NFAIS with a new and different conference experience for the information community. Our goal was to bring all of the constituencies in the information economy together to generate discussion, seek common ground, identify areas of opportunity and provide a space and resources to work towards solving common problems.
Partner Researcher at Microsoft Research, the founder and president of Data & Society
danah boyd is a Partner Researcher at Microsoft Research, the founder and president of Data & Society, and a Visiting Professor at New York University. Her research is focused on addressing social and cultural inequities by understanding the relationship between technology and society. Her most recent books - "It's Complicated: The Social Lives of Networked Teens" and "Participatory Culture in a Networked Age" - examine the intersection of everyday practices and social media. She is a 2011 Young Global Leader of the World Economic Forum, a member of the Council on Foreign Relations, a Director of both Crisis Text Line and Social Science Research Council, and a Trustee of the National Museum of the American Indian. She received a bachelor's degree in computer science from Brown University, a master's degree from the MIT Media Lab, and a Ph.D in Information from the University of California, Berkeley.