Calls for Papers

Special Issue: AI-Enabled Frontiers in Organizational Science

Submissions Open: October 1, 2026

Submissions Close: November 1, 2026

Special Issue Editors: Claudine Gartenberg, Sharique Hasan, Lamar Pierce, Christopher Bail, Hengchen Dai, Oliver Hauser, Hatim Rahman, Dennis Zhang

This special issue asks a fundamental question about artificial intelligence and social science: do we want it to produce faster, cheaper versions of what we already do, or do we want fundamentally new science? Returning to Organization Science's founding mission—Daft and Lewin's 1990 call to break out of the "normal science straitjacket" and March's "exploration of new possibilities"—we want to shift our focus to how AI is changing the production of science and how it can expand our knowledge, rather than merely increasing the number of papers through efficiency and reduced labor.

In this call for science, we seek contributions that reimagine what a social science research contribution is in an AI-enabled world, encouraging wild ideas and radical innovation over obvious incremental improvement. Welcome contribution types include AI-enabled research loops under human direction, reusable research infrastructure, new forms of measurement, AI-enabled qualitative and theory-building work, synthetic social systems, new approaches to established research designs, and critical or boundary-setting work on the limits of AI-enabled science. We are not looking for conventional full-length papers with AI-related content, nor "AI slop"—we want the innovative applications themselves.

The issue follows a three-stage process—a research proposal and prototype, a collaborative development phase with an in-person workshop, and finalization—culminating in short Science/Nature-style articles and shorter "letters," all treated as true peer-reviewed contributions. We welcome submissions from scholars across the social sciences and adjacent fields, so long as they address organizational or managerial implications, broadly interpreted.

To read the full Call for Papers, here.

Special Issue: Agency in the Age of AI

Submissions Due: February 1, 2027

Guest Editors: Paul Leonardi, Alex Murray, Frank Nagle, Nelson Phillips, Juliana Schroeder, Paula Ungureanu, Elisa Villani

Few concepts are as central to the organizational sciences as agency, and few are as hotly debated. Assumptions about who can act, what acting requires, and who is answerable for the results underlie our theories of motivation, leadership, decision making, control, value creation, careers, institutions, and technological change. These views largely took shape before intelligent technologies began to take part in action. As analytic, generative, and agentic AI increasingly participate in organizational action, intention, execution, and consequence—long assumed to reside in a single human actor—are coming apart, and with them our settled sense of who exercises agency.

This special issue seeks theoretically ambitious work, whether conceptual or empirically grounded, that takes the changing production of action as its starting point. We organize the call around two complementary aims: to reconsider agency itself—what it is, where it resides, and how it operates when action is co-produced by people and machines—and to understand how the changing nature of agency reshapes the phenomena our fields care about, from organizational behavior and careers to management and control, strategy, entrepreneurship, institutions, the sociology of work, information systems, and the governance of autonomous action. We are not looking for general commentary on digital transformation or broad appeals for more AI research.

We welcome submissions from across the organizational sciences and from neighboring disciplines in sociology, economics, psychology, and the philosophy of action. Given the rapid pace of change in agentic technologies, the issue will follow an accelerated review process.

To read the full Call for Papers, here.