2017 Keynote Speakers

OPENING KEYNOTE  |  ANNA LAUREN HOFFMANN

Anna Lauren Hoffmann is a postdoctoral scholar with the School of Information at the University of California, Berkeley. Her research is situated at the intersections of data, technology, culture, and ethics, with particular attention to the ways in which the design and use of information technology can promote or hinder the pursuit of important human values like respect and justice. Her work has appeared in various scholarly journals like New Media & Society, The Library Quarterly, First Monday, and JASIST. Her writing has also appeared in popular outlets, including The Guardian, Slate, and the Los Angeles Review of Books.

You can find out more at annaeveryday.com or follow her on Twitter at @anneveryday.

WATCH ANNA’S TALK:

Data Violence: Dignity, Discrimination, and Algorithmic Identity

Today, our “data doubles”—algorithmically-generated, computation-friendly versions of our identities produced by and through digital data—present new challenges for social justice. Among these challenges is the problem of promoting dignity and self-respect, values that provide individuals and groups with a sense that their identities and experiences are valuable and their goals are worth pursuing. For vulnerable or marginalized populations, dignity and self-respect can be undermined by violent actions, symbols, or cultural ideas promoted through mass media, law and policy, or—increasingly—the design of data-intensive systems that seek to sort, evaluate, and rank people according to opaque or biased criteria.In this talk, I position “data doubles” as sites of potential violence—especially when they conflict with our own moral self-perceptions, ideas, and beliefs in ways that implicate our dignity. Through an examination of 1) historical human rights abuses perpetrated through population data, 2) current critical discussions of surveillance, algorithms, and data ethics, and 3) the experiences of transgender women navigating systems that fail to account for their particular identities and bodies, I show how institutionalized and other biases work in and through data-driven systems to deprive certain people of what philosopher John Rawls called “the social bases of self-respect.”


CLOSING KEYNOTE  DR. MONICA BULGER

Dr. Monica Bulger leads the Enabling Connected Learning initiative at the Data & Society Research Institute where she studies issues of student data privacy, equity, and media literacy. She co-authors the bi-weekly Student Data Privacy, Equity and Digital Literacy newsletter in collaboration with the Youth and Media team at the Berkman Klein Center for Internet & Society at Harvard University. She serves on the International Advisory Boards for Global Kids OnlineBetter Internet for Kids Policy Mapping, and the International Child Redress Project. A 2014-2015 Fellow at the Berkman Klein Center for Internet & Society, she is a Research Associate at the Oxford Internet Institute and a fellow of Fundación Ceibal studying impacts of educational technologies on children’s everyday experiences. Monica has contributed policy research to UNICEFEU Kids Online, the U.S. Department of Justice, and the European Commission. She holds a PhD in Education with an emphasis in cognitive science and social dimensions of technology.

WATCH MONICA’S TALK:

Fake news, reliability & questioning: A researcher’s struggle to navigate the new information landscape

In the past year, we’ve gotten a crash course in ‘fake news,’ ‘alternative facts,’ disinformation, confusion, propaganda, and media overwhelm. This isn’t just a philosophical issue for us, but one that strikes at the core of what we do. How does this affect our daily work as curators and creators of information? As a veteran researcher, I’m facing new challenges in my information search and evaluation processes. There are twin feelings of overwhelm and urgency given the rapidity with which stories seem to surface and fade, and the sheer volume of what seem to be very critical stories emerging daily. At the same time, emerging news is often difficult to triangulate and I sometimes find myself reading sources with which I’m unfamiliar and not trusting that a story getting picked up by mainstream news is verification of its reliability. In this presentation, I will share the challenges of developing and publishing research across different frequencies: Twitter, bi-weekly newsletter, blogging, policy briefs, academic journals. I will discuss the evolving information landscape and its impacts on information collection, vetting, and sense-making.