Organizers

Susann Wagenknecht is a researcher at the Department of Social Sciences at the University of Siegen. She studies human-technology relations at the workplace, investigating the role of computational algorithms in expert management practices. Her current work focuses on the use of algorithms in smart city management. She received her PhD from Aarhus University, Centre of Science Studies, in 2014.

Min Kyung Lee is a research scientist at the Center for Machine Learning and Health at Carnegie Mellon University. Her research examines the social and decision-making implications of intelligent systems and supports the development of more human-centered machine learning applications. One of her current projects explores the way algorithmic management changes work practices in on-demand work such as Uber. She received her PhD in HCI from Carnegie Mellon University in 2013.

Caitlin Lustig is an informatics PhD candidate at the University of California, Irvine. Her research broadly explores how power and agency are distributed among actors in socio-technical systems. Her current work uses an empirical study of the Bitcoin’s blockchain algorithm to explore ways of designing and supporting distributed and peer-to-peer alternatives to centralized algorithmic systems.

Jacki O’Neill is an ethnographer in the Technology for Emerging Markets research area at Microsoft Research India (MSRI). Her aim is to understand where and how technology can be used to improve the lives of people with lower socio-economic status, whether that be through work, health, education or play. She was previously Principal Scientist at Xerox Research Centre Europe where she focused on the analysis and design of technologies for work.

Himanshu Zade is a research fellow in the Technology for Emerging Markets group at Microsoft Research India (MSRI). His research interests include reasoning how users interact and understand a technology through a bifocal – quantitative and qualitative – analysis of data for identifying meaningful design opportunities. In prior research, he examined how people learn to use unfamiliar machines, by witnessing, capturing, and measuring their understanding as it evolves with more interaction.

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