Dear All, I hope you’re having a lovely holiday weekend. Just to let you know that we’ve extended the deadline slightly for anyone who wants to submit an abstract for our conference*, * Data (Re)makes the World <https://law.yale.edu/isp/events/data-remakes-world>* . *It's now *November 25, 2022.* Best, Chinmayi On Thu, Oct 27, 2022 at 11:52 AM Chinmayi Arun <chinmayiarun@gmail.com> wrote:
*Dear All,*
*We are inviting paper submissions for our Spring Conference,* * Data (Re)makes the World <https://law.yale.edu/isp/events/data-remakes-world>. *The deadline for abstracts is November 25th. I’ve shared more details below. *aaron.mendon-plasek@yale.edu <aaron.mendon-plasek@yale.edu>* *can answer any questions that you might have.*
*Best,*
*Chinmayi*
Chinmayi Arun
Executive Director, Yale Information Society Project
Research Scholar in Law, Yale Law School
*CALL FOR PAPERS*
We invite paper submissions for Data (Re)makes the World <https://law.yale.edu/isp/events/data-remakes-world>, a conference hosted by the Information Society Project <https://law.yale.edu/isp> to be held at Yale Law School in New Haven, Connecticut, on March 31-April 1, 2023.
Artificial intelligence, data science, and algorithmic approaches to decision making often assume we can better describe and predict social phenomena through the collection, imputation, and manipulation of data. But the problems and issues of how to measure, how to count, and what counts in counting, have a long history that predates the digital revolution. Quantifying social life shapes not only what we know but how we know. It simultaneously describes, imposes perspectives, and presupposes values.
New forms of quantification and data analysis displace earlier ways of understanding. They may transform and threaten existing practices and professions, and, in the process, create social conflict and breed distrust. Using machine learning systems to augment or replace human decision making may conflict with existing social norms, political values, and legal interpretations. The rise and spread of machine learning systems, and of algorithmic decision making more generally, have spurred calls for legal and social reform. But these technologies may also may change people’s existing values, lead to new political and cultural norms, and novel conceptions (and measures) of community, justice, and equality.
We seek paper submissions that investigate the ways our quantification practices are informing and reshaping our values and our communities—including the effects on democratic representation, civil rights, civil liberties, civil and criminal justice, and the promotion of sound public policy. We are particularly interested in papers discussing artificial intelligence, machine learning, and algorithmic decision-making, but also welcome papers that explore quantification practices across different times, places, and cultures.
We hope to bring together an interdisciplinary group of scholars, technologists, and policy activists working in and outside of the academy, including but not limited to those working in and across the disciplines of history, public health, philosophy, anthropology, sociology, computer science, statistics, mathematics, economics, cultural studies, medicine, and law.
We will cover travel, accommodation and reasonable travel expenses (as per Yale University policies and procedures <https://your.yale.edu/policies-procedures/policies/3301-travel-university-bu...>) for participants invited to present papers at the conference.
*Please submit your 400-word abstract (not including references) in a PDF file that also includes your name and email by 11:59 pm EST on November 25, 2022, via this* *submission form <https://forms.gle/gmoEZDkRF8BWdpCo6>. Authors whose papers are accepted will be expected to provide full paper drafts two weeks prior to the conference, which will be circulated to all conference participants. Please send your questions to* *aaron.mendon-plasek@yale.edu <aaron.mendon-plasek@yale.edu>. We look forward to reading your submissions!*