Strategic Information: New Directions and Applications
SInfoNiA aims to redefine the role of information in economic coordination through a novel model and methodologies, enhancing analysis of financial stability and social norms.
Projectdetails
Introduction
In a world saturated with data, the role of information as a coordination device for economic activity is more and more central, and impacts phenomena such as financial crises, currency attacks, and social stability.
Importance of Information
Although the importance of information as a driving force is well established, current models of coordination and robustness are limited to the restricted class of binary actions supermodular games.
Methodological Advances
Following recent methodological advances of the PI as a proof of concept, the project offers a model of strategic types that will define the role of information in general strategic situations.
Divergent Methodology
Our methodology diverges from the conventional approach by reframing all information in relation to the game under study. Rather than considering information description as a distinct entity separate from the game itself, our approach centers on strategically relevant information within a particular, predetermined game context.
Project Overview
SInfoNiA will create new foundations for the analysis of information in economics and delve into new positive and normative implications of the theory as described in 7 work packages (WP).
Work Packages
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WP1: Provides a model of strategic types for a wide array of games.
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WP2: Develops new avenues to measure and value information.
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WP3: Unifies strategic types with global games information structures.
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WP4: Offers algorithms that will allow for wide applicability and dissemination of the methods.
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WP5: Utilizes these methods to expand the global games frontier and analyze new models of financial stability.
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WP6: Offers a broad analysis of the robustness of economic outcomes, including in trade and financial networks.
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WP7: Takes a normative approach and provides joint design of information structures and incentives that efficiently implement desirable outcomes. It offers informational interventions to bring about changes in social norms, in particular in gender inequality.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.152.586 |
Totale projectbegroting | € 1.152.586 |
Tijdlijn
Startdatum | 1-9-2024 |
Einddatum | 31-8-2029 |
Subsidiejaar | 2024 |
Partners & Locaties
Projectpartners
- CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRSpenvoerder
- LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
Land(en)
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Information Economics With Fundamental Uncertainty: Robustness, Commitment, and Strategic IncentivesThis project explores how fundamental uncertainty affects learning and strategic information sharing, using decision-theoretic frameworks to enhance understanding of active experimentation and information dynamics. | ERC Starting... | € 1.402.678 | 2025 | Details |
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Integrated Structural and Probabilistic Approaches for Biological and Epidemiological SystemsINSPIRE aims to develop a framework integrating structural, robust, and probabilistic methods to analyze and control uncertain biological and epidemiological systems for improved prediction and intervention. | ERC Starting... | € 1.500.000 | 2023 | Details |
Information Economics for Science
The project develops tools in organizational economics to enhance scientific decision-making and optimize funding incentives amidst uncertainty in research.
Information Economics With Fundamental Uncertainty: Robustness, Commitment, and Strategic Incentives
This project explores how fundamental uncertainty affects learning and strategic information sharing, using decision-theoretic frameworks to enhance understanding of active experimentation and information dynamics.
A Post Growth Deal
This project aims to develop frameworks for sustainable post-growth policies and provisioning systems that enhance human well-being within planetary boundaries through empirical research and community engagement.
New Frontiers in Information-Theoretic Secure Computation
This project aims to enhance the understanding and efficiency of information-theoretic secure computation through improved secret sharing, secure reductions, and optimized protocols, impacting cryptography and theoretical computer science.
Integrated Structural and Probabilistic Approaches for Biological and Epidemiological Systems
INSPIRE aims to develop a framework integrating structural, robust, and probabilistic methods to analyze and control uncertain biological and epidemiological systems for improved prediction and intervention.
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