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.
Projectdetails
Introduction
Many pivotal decisions hinge on navigating fundamental uncertainty, where a comprehensive description of the relevant contingencies and exact odds remains elusive. This project explores how such uncertainty influences learning, innovation, and strategic information sharing.
Research Context
While previous research has made significant strides in exploring information incentives, it predominantly revolves around scenarios with well-defined risks, neglecting the intricate real-world challenges of rapidly evolving, complex environments. My approach leverages decision-theoretic advances to construct novel theoretical frameworks of active learning and strategic disclosure, shedding light on the implications of fundamental uncertainty on the decision-makers' desire for robustness, demand for commitment, and strategic incentives.
Active Experimentation
The project entails the study of active experimentation, modeled as a canonical multi-arm bandit problem, in situations where the experimenter's knowledge about the underlying distribution of payoffs is limited.
Theoretical Approach
I propose a new theoretical approach centered on regret minimization and continual re-optimization. This work will generate new insights into the experimenter's dynamic tradeoff between exploitation and exploration in the face of shifting worst-case scenarios, as well as the feasibility of ex-ante optimal experimentation rules.
Strategic Interactions
Shifting the focus to strategic interactions, I will investigate how uncertainty over the underlying process of information endowments impacts information-sharing incentives.
Sender-Receiver Structure
My work will center on a canonical sender-receiver structure with verifiable information. I will examine the role of the receiver's sophistication in the predictions of such models, in particular, the inevitability of information unraveling. This will challenge some widely accepted insights of this literature.
Financiële details & Tijdlijn
Financiële details
Subsidiebedrag | € 1.402.678 |
Totale projectbegroting | € 1.402.678 |
Tijdlijn
Startdatum | 1-1-2025 |
Einddatum | 31-12-2029 |
Subsidiejaar | 2025 |
Partners & Locaties
Projectpartners
- RHEINISCHE FRIEDRICH-WILHELMS-UNIVERSITAT BONNpenvoerder
Land(en)
Vergelijkbare projecten binnen European Research Council
Project | Regeling | Bedrag | Jaar | Actie |
---|---|---|---|---|
Information Economics for ScienceThe project develops tools in organizational economics to enhance scientific decision-making and optimize funding incentives amidst uncertainty in research. | ERC Advanced... | € 1.461.050 | 2023 | Details |
Challenges in Competitive Online OptimisationThis project aims to enhance decision-making under uncertainty by developing new online and learning-augmented algorithms, leveraging recent advancements in algorithm design and machine learning. | ERC Starting... | € 1.499.828 | 2025 | Details |
Modeling Misspecification: Incorporating Information Processing Biases into Economic ModelsModelMisspec aims to develop a unified framework for understanding information processing biases in decision-making, linking theory and empirical analysis to explore their economic implications. | ERC Starting... | € 1.487.820 | 2025 | Details |
Biases in prospective learning and dynamic choicePROSPECT aims to experimentally uncover biases in individuals' ability to assess the benefits of information acquisition for dynamic decision-making and improve their predictive accuracy. | ERC Consolid... | € 1.644.025 | 2025 | Details |
Strategic Information: New Directions and ApplicationsSInfoNiA aims to redefine the role of information in economic coordination through a novel model and methodologies, enhancing analysis of financial stability and social norms. | ERC Advanced... | € 1.152.586 | 2024 | 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.
Challenges in Competitive Online Optimisation
This project aims to enhance decision-making under uncertainty by developing new online and learning-augmented algorithms, leveraging recent advancements in algorithm design and machine learning.
Modeling Misspecification: Incorporating Information Processing Biases into Economic Models
ModelMisspec aims to develop a unified framework for understanding information processing biases in decision-making, linking theory and empirical analysis to explore their economic implications.
Biases in prospective learning and dynamic choice
PROSPECT aims to experimentally uncover biases in individuals' ability to assess the benefits of information acquisition for dynamic decision-making and improve their predictive accuracy.
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.