We consider the problem of a leader who can assign rewards for citizens for different anti-regime actions. Citizens face a coordination problem in which each citizen has a private, endogenous degree of optimism about the likelihood of regime change. Because more optimistic citizens are easier to motivate, the choice of optimal rewards entails optimal screening. This leads to a distribution of anti-regime actions. A key result is the emergence of a vanguard, consisting of citizens who engage in the endogenous, maximum level of action. Other citizens participate at varying degrees, with less optimistic citizens contributing less. We explore how the regime’s strength or the maximum reward available to the leader influences the distribution of actions. Moreover, we show that more heterogeneity (e.g., higher inequality) among potential revolutionaries reduces the likelihood of regime change. Our methodological contribution is that we deliver a sharp and novel marriage of screening and global games.
Socio-aware Public Safety Framework Design: A Contract Theory based Approach
Given the substantial penetration of social networks in citizens' everyday life activities, the success of a public safety system depends on the citizens' incentivization by the Emergency Control Center (ECC), and their effective effort contribution in the overall disaster management operation. In this paper, we introduce a formal method based on the principles of Contract Theory, to identify the optimal rewards to the citizens from the ECC's perspective, and the optimal invested effort from the citizens' side, referred to as contract pairs. The identification of these contract pairs (i.e., rewards and respective efforts) between the ECC and each citizen, depend on each citizen's social and communication characteristics that are used to define their specific type and profile, while they are properly reflected in the corresponding designed utility functions to be optimized. The problem under consideration is treated for both cases of complete (ideal) and incomplete (realistic) information availability, with respect to the level of knowledge of the ECC about the exact type of each citizen. The overall framework was evaluated via modeling and simulation, in terms of its efficiency and effectiveness, by studying multiple operation approaches and scenarios.
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- Award ID(s):
- 1849739
- NSF-PAR ID:
- 10228426
- Date Published:
- Journal Name:
- 2020 IEEE International Conference on Communications (ICC)
- Page Range / eLocation ID:
- 1 to 7
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/ICC40277.2020.9148712
