Exploring Collaborative Debating Models for the future of science
Abstract
AI is expanding what researchers can produce. A substantial increase in scientific output would also change how that work is organised and distributed, as earlier shifts in the scale of science have done. This paper develops a thought experiment around Collaborative Debating Models (CDMs), topic-focused environments where researchers work with AI and one another to pursue questions and maintain an evolving account of their field. Individual contributions would remain attributable as ongoing debate and further analysis change the shared account. The paper considers how journals could evolve into these gathering places and how different forms of ownership would shape scientific agendas and the support for continuing work. CDMs could connect participants to remote laboratories and other research services to conduct new studies, with shared repositories making the resulting data available for further inquiry. The proposal links expanded scientific production to collective interpretation through continuing assessment and revision, while leaving room for disciplinary differences in how contributions are reviewed and recognised.
Related
- Future of Artificial Intelligence for Science in Japan 2024 Community Report
- Exploring the Supersymmetric Grand Unified Theories with Gauge Mediation at the Future Proton-Proton Colliders and Hyper-Kamiokande Experiment
- Efficacy and safety of single-fraction stereotactic body radiotherapy (SBRT) for the curative treatment of extracranial primary Tumors: A collaborative systematic review on behalf of the SBRT Focus Group of the European Society for Radiotherapy & Oncology (ESTRO).
- Collaborative AI agents for autonomous experimental research with solid-state quantum spins
- Photonics-GCCE: group collaborative-competitive evolution multi-agent framework for universal and autonomous optical design
BibTeX
@misc{seskir2026exploring,
title = {{Exploring Collaborative Debating Models for the future of science}},
author = {Zeki C. Seskir},
howpublished = {arXiv},
year = {2026},
month = nov,
doi = {10.48550/arxiv.2611.00370},
eprint = {2611.00370},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2611.00370},
}
RIS
TY - UNPB
TI - Exploring Collaborative Debating Models for the future of science
AU - Zeki C. Seskir
PY - 2026
DA - 2026/11/01
PB - arXiv
DO - 10.48550/arxiv.2611.00370
UR - https://arxiv.org/abs/2611.00370
AB - AI is expanding what researchers can produce. A substantial increase in scientific output would also change how that work is organised and distributed, as earlier shifts in the scale of science have done. This paper develops a thought experiment around Collaborative Debating Models (CDMs), topic-focused environments where researchers work with AI and one another to pursue questions and maintain an evolving account of their field. Individual contributions would remain attributable as ongoing debate and further analysis change the shared account. The paper considers how journals could evolve into these gathering places and how different forms of ownership would shape scientific agendas and the support for continuing work. CDMs could connect participants to remote laboratories and other research services to conduct new studies, with shared repositories making the resulting data available for further inquiry. The proposal links expanded scientific production to collective interpretation through continuing assessment and revision, while leaving room for disciplinary differences in how contributions are reviewed and recognised.
ER -