Kalervo N. Gulson is professor in education policy at the University of Sydney. He is author of Education Policy, Space, and the City: Markets and the (In)visibility of Race and coauthor of Education Policy and Racial Biopolitics in Multicultural Cities. Sam Sellar is professor in education policy at the University of South Australia. Most recently he coedited the World Yearbook of Education 2019: Comparative Methodology in the Era of Big Data and Global Networks.P. Taylor Webb is associate professor in the Department of Educational Studies at the University of British Columbia. He is coauthor of, among others, Education Policy and Racial Biopolitics in Multicultural Cities.

• Introduction. Synthetic Governance: Algorithms in Education1. Governing: Networks, Artificial Intelligence, and Anticipation2. Thought: Acceleration, Automated Thinking, and Uncertainty3. Problems: Concept Work, Ethnography, and Policy Mobility4. Infrastructure: Interoperability, Datafication, and Extrastatecraft5. Patterns: Facial Recognition and the Human in the Loop6. Automation: Data Science, Optimization, and New Values7. Synthetic Politics: Responding to Algorithms in EducationAcknowledgmentsNotesIndex

"Algorithms of Education is an essential guide to the possibilities and political implications of artificial intelligence in education policy and governance. Working with ambitious concepts and innovative methods, the authors provocatively ask how education can be governed when policies are implemented by humans and automated machines that think and make decisions together."-Ben Williamson, University of Edinburgh

Kalervo N. Gulson is professor in education policy at the University of Sydney. He is author of Education Policy, Space, and the City: Markets and the (In)visibility of Race and coauthor of Education Policy and Racial Biopolitics in Multicultural Cities. Sam Sellar is professor in education policy at the University of South Australia. Most recently he coedited the World Yearbook of Education 2019: Comparative Methodology in the Era of Big Data and Global Networks.P. Taylor Webb is associate professor in the Department of Educational Studies at the University of British Columbia. He is coauthor of, among others, Education Policy and Racial Biopolitics in Multicultural Cities.

• Introduction. Synthetic Governance: Algorithms in Education1. Governing: Networks, Artificial Intelligence, and Anticipation2. Thought: Acceleration, Automated Thinking, and Uncertainty3. Problems: Concept Work, Ethnography, and Policy Mobility4. Infrastructure: Interoperability, Datafication, and Extrastatecraft5. Patterns: Facial Recognition and the Human in the Loop6. Automation: Data Science, Optimization, and New Values7. Synthetic Politics: Responding to Algorithms in EducationAcknowledgmentsNotesIndex

"Algorithms of Education is an essential guide to the possibilities and political implications of artificial intelligence in education policy and governance. Working with ambitious concepts and innovative methods, the authors provocatively ask how education can be governed when policies are implemented by humans and automated machines that think and make decisions together."-Ben Williamson, University of Edinburgh

Kalervo N. Gulson is professor in education policy at the University of Sydney. He is author of Education Policy, Space, and the City: Markets and the (In)visibility of Race and coauthor of Education Policy and Racial Biopolitics in Multicultural Cities. Sam Sellar is professor in education policy at the University of South Australia. Most recently he coedited the World Yearbook of Education 2019: Comparative Methodology in the Era of Big Data and Global Networks.P. Taylor Webb is associate professor in the Department of Educational Studies at the University of British Columbia. He is coauthor of, among others, Education Policy and Racial Biopolitics in Multicultural Cities.

• Introduction. Synthetic Governance: Algorithms in Education1. Governing: Networks, Artificial Intelligence, and Anticipation2. Thought: Acceleration, Automated Thinking, and Uncertainty3. Problems: Concept Work, Ethnography, and Policy Mobility4. Infrastructure: Interoperability, Datafication, and Extrastatecraft5. Patterns: Facial Recognition and the Human in the Loop6. Automation: Data Science, Optimization, and New Values7. Synthetic Politics: Responding to Algorithms in EducationAcknowledgmentsNotesIndex

"Algorithms of Education is an essential guide to the possibilities and political implications of artificial intelligence in education policy and governance. Working with ambitious concepts and innovative methods, the authors provocatively ask how education can be governed when policies are implemented by humans and automated machines that think and make decisions together."-Ben Williamson, University of Edinburgh