Algorithmic Regimes
Algorithmic Regimes
Methods, Interactions, and Politics
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Algorithmic Regimes: Methods, Interactions, and Politics
Knowing in Algorithmic Regimes. An Introduction
Revisiting Transparency Efforts in Algorithmic Regimes
Understanding and Analyzing Science’s Algorithmic Regimes – a Primer in Computational Science Code Studies
Sensitizing for Algorithms Foregrounding Experience in the Interpretive Study of Algorithmic Regimes
Reassembling the Black Box of Machine Learning: Of Monsters and the Reversibility of Foldings
Methods in algorithmic regimes
Buildings in the Algorithmic Regime: Infrastructuring Processes in Computational Design
The Organization in the Loop: Exploring Organizations as Complex Elements of Algorithmic Assemblages
Algorithm-Driven Reconfigurations of Trust Regimes: An Analysis of the Potentiality of Fake News
Recommender Systems Beyond the Filter Bubble: Algorithmic Media and the Fabrication of Publics
Taking to Machines. Knowledge Production and Social Relations in the Age of Governance by Data Infrastructure
POLITICS The Politics of Data Science. Institutionalizing Algorithmic Regimes of Knowledge Production 308
Algorithmic Futures: Governmentality and Prediction Regimes
Power and resistance in the Twitter bias discourse
Making Algorithms Fair. Ethnographic Insights from Machine Learning Interventions
Commentary: The Entanglements, Failures And Uncertainties Of Algorithmic Regimes

Recensies en Artikelen

“I’ve been waiting for a book like this. Both comprehensive and novel, it explores algorithms from a wide range of perspectives and angles. An almost endless source of insights, this book moves debates about algorithms forward on a number of fronts. It’s a text that will help us to come to terms with the ongoing automation of the social world.”
— David Beer, Professor of Sociology, University of York

“This insightful collection of essays delves into the intricate landscapes of algorithmic regimes, offering valuable perspectives on the connections between new modes of algorithmic knowledge production, decision-making, and the social dynamics at play. A must-read for anyone seeking to navigate the complex terrain of algorithmic power and its impact on our lives.”
— Taina Bucher, Professor in Media and Communication, University of Oslo

"Algorithmic Regimes: Methods, Interactions, and Politics is an insightful and stimulating collection that addresses the increasing presence of algorithms in our societies. It brings together concepts and methods from a broad set of disciplines, and the encounter between these perspectives makes for a thought-provoking read. I highly recommend this book to students and researchers who want to know more about algorithmic regimes and how to study them, in particular those who are looking to broaden their horizons beyond their own discipline."
— Bernhard Rieder, Associate Professor of New Media and Digital Culture, University of Amsterdam

"The rampant spread of algorithms has shifted the focus of research from technological issues to social impact. The concept of algorithmic regimes proposes a much required conceptual frame for addressing this development and its many challenges. This book will be a highly relevant reference for all research on the digitized society."
— Elena Esposito, Professor of Sociology, Bielefeld University and University of Bologna

Algorithmic Regimes

Methods, Interactions, and Politics

De onderstaande tekst is niet beschikbaar in het Nederlands en wordt in het Engels weergegeven.
Algorithms have risen to become one, if not the central technology for producing, circulating, and evaluating knowledge in multiple societal arenas. In this book, scholars from the social sciences, humanities, and computer science argue that this shift has, and will continue to have, profound implications for how knowledge is produced and what and whose knowledge is valued and deemed valid. To attend to this fundamental change, the authors propose the concept of algorithmic regimes and demonstrate how they transform the epistemological, methodological, and political foundations of knowledge production, sensemaking, and decision-making in contemporary societies. Across sixteen chapters, the volume offers a diverse collection of contributions along three perspectives on algorithmic regimes: the methods necessary to research and design algorithmic regimes, the ways in which algorithmic regimes reconfigure sociotechnical interactions, and the politics engrained in algorithmic regimes.

Juliane Jarke

Juliane Jarke is Professor of Digital Societies at the University of Graz. Her research attends to the increasing importance of digital data and algorithmic systems in the public sector, education and for ageing populations. She received her PhD in Organisation, Work and Technology from Lancaster University and has a background in computer science, philosophy and STS.

Bianca Prietl

Bianca Prietl is Professor for Gender Studies with a Focus on Digitalization at University of Basel. Her main area of expertise is feminist technoscience studies, with her more recent work focusing on the interrelations of knowledge, power, and gender in the context of (digital) datafication.

Simon Egbert

Simon Egbert, PhD, is a postdoc researcher at the faculty of sociology of Bielefeld University, working in the research project ‘The Social Consequences of Algorithmic Forecast in Insurance, Medicine and Policing’ (ERC grant agreement No. 833749). His research interests are science and technology studies, algorithm studies, sociology of testing and sociology of the future.

Yana Boeva

Yana Boeva is a Postdoctoral Researcher at the Institute for Social Sciences and the Cluster of Excellence “Integrative Computational Design and Construction for Architecture (IntCDC)”, University of Stuttgart. Her research explores the transformation of design, architectural practice, and different user expectations of computation and automation.

Hendrik Heuer

Hendrik Heuer, Dr., is a senior researcher at the University of Bremen. His research focuses on Human-Computer Interaction and Machine Learning. Currently, he is working on ways to fight misinformation. He studied and worked in Bremen, Stockholm, Helsinki, and Amsterdam and was a visiting postdoctoral research fellow at Harvard University

Maike Arnold

Maike Arnold is a research associate at the KRITIS research training group and the Institute of Philosophy at TU Darmstadt. Their research focuses on trust in testimony in the context of critical decision making, especially concerning critical infrastructures and in the context of the algorithmization of information technology systems.