hubecall | Tag : social science https://hubecall.com/tag/social-science Derniers appels à publications avec le tag 'social science'. Thu, 13 Aug 2026 04:31:20 GMT https://validator.w3.org/feed/docs/rss2.html https://github.com/jpmonette/feed fr hubecall | Tag : social science https://hubecall.com/public/favicon/android-chrome-96x96.png https://hubecall.com/tag/social-science hubecall © 2026 <![CDATA[Digital Spaces and DIY Health]]> https://hubecall.com/call/elsevier-digital-spaces-and-diy-health-2 elsevier-digital-spaces-and-diy-health-2 Tue, 11 Aug 2026 10:27:21 GMT

Timeline

  • December 11, 2026: Submission deadline
]]> Social Science & Medicine (ELSEVIER) <![CDATA[AI-Enabled Frontiers in Organizational Science]]> https://hubecall.com/call/informs-ai-enabled-frontiers-in-organizational-science informs-ai-enabled-frontiers-in-organizational-science Tue, 11 Aug 2026 01:40:43 GMT

Claudine Gartenberg, .pop

Sharique Hasan, .pop

Lamar Pierce, .pop

Christopher Bail, .pop

Hengchen Dai, .pop

Oliver Hauser, .pop

Hatim Rahman, .pop

Dennis Zhang, .pop

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. 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.

Potential topics

  • 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
  • Critical or boundary-setting work on the limits of AI-enabled science
  • Reimagining social science research contributions in an AI-enabled world

Timeline

  • October 1, 2026: Submissions Open
  • November 1, 2026: Submissions Close
]]> Organization Science (INFORMS)