Tootfinder

EconAgentic in DePIN Markets: A Large Language Model Approach to the Sharing Economy of Decentralized Physical Infrastructure
Yulin Liu, Mocca Schweitzer
https://arxiv.org/abs/2508.21368

EconAgentic in DePIN Markets: A Large Language Model Approach to the Sharing Economy of Decentralized Physical Infrastructure
The Decentralized Physical Infrastructure (DePIN) market is revolutionizing the sharing economy through token-based economics and smart contracts that govern decentralized operations. By 2024, DePIN projects have exceeded \$10 billion in market capitalization, underscoring their rapid growth. However, the unregulated nature of these markets, coupled with the autonomous deployment of AI agents in smart contracts, introduces risks such as inefficiencies and potential misalignment with human value…

Disaster Risk Financing through Taxation: A Framework for Regional Participation in Collective Risk-Sharing
Fallou Niakh, Arthur Charpentier, Caroline Hillairet, Philipp Ratz
https://arxiv.org/abs/2506.18895

Disaster Risk Financing through Taxation: A Framework for Regional Participation in Collective Risk-Sharing
We consider an economy composed of different risk profile regions wishing to be hedged against a disaster risk using multi-region catastrophe insurance. Such catastrophic events inherently have a systemic component; we consider situations where the insurer faces a non-zero probability of insolvency. To protect the regions against the risk of the insurer's default, we introduce a public-private partnership between the government and the insurer. When a disaster generates losses exceeding the tot…

Trust and Reputation in Data Sharing: A Survey
Wenbo Wu, George Konstantinidis
https://arxiv.org/abs/2508.14028 https://arxiv.org/pdf/2508.14028

Trust and Reputation in Data Sharing: A Survey
Data sharing is the fuel of the galloping artificial intelligence economy, providing diverse datasets for training robust models. Trust between data providers and data consumers is widely considered one of the most important factors for enabling data sharing initiatives. Concerns about data sensitivity, privacy breaches, and misuse contribute to reluctance in sharing data across various domains. In recent years, there has been a rise in technological and algorithmic solutions to measure, captur…