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EJIS Special Issue: Theorizing the Data-AI Nexus

About the Special Issue

The European Journal of Information Systems (EJIS) invites submissions for a special issue on Theorizing the Data-AI Nexus, launched at the Theorizing Data & AI Conference.

The issue welcomes conceptual and empirical work that theorizes the evolving relationship between data and AI in organizations — how data constitutes AI, how AI produces data, and how this entanglement reshapes knowledge, work, and organizing. A broad range of paradigms is welcome (interpretive, processual, critical, computational, design-oriented).

Focus areas

  • Data and AI as constitution — how data shapes what AI systems become
  • AI as data-maker — AI as a producer of data, not merely a consumer
  • Data decoupled from practice — consequences of abstracting data from the practices that generate it
  • The social life of the data-AI nexus — institutional, organizational and societal dimensions

Key dates

  • Call launch: 28 May 2026
  • Initial submission deadline: 15 January 2027
  • Final revision deadline: 15 January 2028

Associated Editors

  • Aleksi Aaltonen
  • Ida Asadi Someh
  • Ioanna Constantiou
  • Domenico di Prisco
  • Mayur Joshi
  • Ekaterina Jussupow
  • Jannis Kallinikos
  • Tomislav Karačić
  • Stan Karanasios
  • Alexander Kempton
  • Angelos Kostis
  • Harris Kyriakou
  • Christine Legner
  • Kalle Lyytinen
  • Eric Monteiro
  • Jeff Parsons
  • Mike Power
  • Jan Recker
  • Paavo Ritala
  • Marta Stelmaszak Rosa
  • Lauri Wesssel

Guest Editors

Cristina Alaimo & Lauren Waardenburg (ESSEC Business School), Jonny Holmström (Umeå University), Lior Zalmanson (Tel Aviv University), Reza M. Bayg (VU Amsterdam).

Full call & submission

Full scope, submission guidelines and author instructions are available on the official journal page. Use the button on this page to access it.

Questions: waardenburg@essec.edu · alaimo@essec.edu

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