Overview
An edited volume examining open standards and cognitive security for structuring the information commons. The book addresses how information ecosystems can be designed to promote trust, transparency, and collective sensemaking through open standards, decentralized governance, and cognitive security principles.
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Methods and contributions
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Findings and contributions
- The editors suggest focusing on shared context and meaning as a key element of co-managing the information commons, broadening attention from data security to context sharing.
- The editors argue that declining trust online, viewed as a market with growing pains, is a new instance of an old problem traditionally solved by shared exchange protocols and local rule-setting.
- Chapter I (Cordes et al.) proposes Narrative Information Management as a unifying term and framework for the features and challenges of collective sensemaking.
- Chapter V applies Active Inference to model conflict as multiscale processes of communication, trust, and relationship management among agents.
- Chapter XI presents a design document for TrustFinder, a sociotechnical system for clearinghouses of granular, modular information products.
Methods
- Edited volume of eleven chapters from the VIE program's first year — Collects all work submitted and approved through the UW APL VIE program during Phase 1 of NSF Convergence Accelerator Track F (2021), ordered by submission.
- Catechism-based project management across participating teams — The program coordinated contributing teams using question-based, versionable project documentation adapted from DARPA practice.
- Framing the information environment as a proto-market needing exchange protocols — The program treated online information as a proto-market and aimed to lay foundations for Verified Information Exchange environments (VIEs).
- Expert discussions and interviews feeding market-maturity and design chapters — Chapters such as 'Elements Related to Maturity of Function in Markets' and 'TrustFinder' synthesize program discussions and interviews with experts.
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- 2022_InformationCommons.pdf PDF · 6.60 MiB · extracted-text source
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