The existing air transportation system is approaching a bottleneck because its dominant huband- spoke model results in a concentration of a large percentage of the air traffic at a few hub airports. Advanced technologies are greatly needed to enhance the transportation capabilities of the small airports in the U.S.A., and distribute the high volume of air traffic at the hub airports to those small airports, which are mostly non-controlled airports. Currently, two major focus areas of research are being pursued to achieve this objective. One focus concentrates on the development of tools to improve operations in the current Air Traffic Management system. A more long-term research effort focuses on the development of decentralized Air Traffic Management techniques. This dissertation takes the latter approach and seeks to analyze the degree of decentralization for scheduling aircraft landings in the dynamic operational environment at single runway noncontrolled airports. Moreover, it explores the feasibility and capability of scheduling aircraft landings within uninterrupted free-flight environment in which there is no existence of Air Traffic Control (ATC). First, it addresses the approach of developing static optimization algorithms for scheduling aircraft landings and, thus, analyzes the capability of automated aircraft landing scheduling at single runway non-controlled airports. Then, it provides detailed description of the implementation of a distributed Air Traffic Management (ATM) system that achieves decentralized aircraft landing scheduling with acceptable performance whereas a solution to the distributed coordination issues is presented. Finally real-time Monte Carlo flight simulations of multi-aircraft landing scenarios are conducted to evaluate the static and dynamic performance of the aircraft landing scheduling algorithms and operation concepts introduced. Results presented in the dissertation demonstrate that decentralized aircraft landing scheduling at single runway non-controlled airports can be achieved. It is shown from the flight simulations that reasonable performance of decentralized aircraft landing scheduling is achieved with successful integration of publisher/subscriber communication scheme and aircraft landing scheduling model. The extension from the non-controlled airport application to controlled airport case is expected with suitable amendment, where the reliance on centralized air traffic management can be reduced gradually in favor of a decentralized management to provide more airspace capacity, flight flexibility, and increase operation robustness.

The Regional Productive Development Agencies implemented in Chile in 2006, were developed as a way to answer the longing desire to territorially decentralize, and that the own Regions be whom define their future. The Agencies have the responsibility to develop innovation and productive development Agendas in participative processes, which means with public, academic and private actors. Also, the Agencies have the mission to implement Competitive Improvement Plans-PMC (clusters) in prioritized economic sectors by the own region. These PMC are leaded by private actors in each sector. / Las Agencias Regionales de Desarrollo Productivo (ARDP) implementadas en Chile a partir del año 2006, vienen a res­ponder a un anhelo mayoritario por la descentralización territorial para que sean las propias regiones quienes definan su futuro. Las ARDP tienen la responsabilidad de desarrollar agendas de fomento productivo e innovación participativas, es decir que, con el concurso del sector público, académico y principalmente privado, deben implementar planes de mejoramiento de la competitividad (PMC), (cluster) en sectores económicos priorizados por la propia región. Los PMC son liderados por los privados de cada sector.

Blockchain technology emerged as a potent tool for revolutionizing energy systems, offering secure transactions and efficient resource management. Blockchain offers transparency by enabling decentralized transactions. Despite adopting blockchainbased solutions, some cybersecurity issues persist in Decentralized Renewable Energy Marketplaces (DREMs). Specifically, data privacy, security, and verifiability remain a concern for prosumers and grid operators. To address such issues, several blockchainbased solutions utilize technologies such as Self-Sovereign Identities (SSIs), Digital Machine Identities (DMIs), and Zero-knowledge Proofs (ZKPs). In this work, we first review the literature to gain insight into cybersecurity issues within DREMs addressed using blockchain technology. Based on our review, we conceptualize a framework that leverages SSIs, DMIs, and ZKPs to address these issues. This work-in-progress shows the potential of these technologies to enhance security, privacy, and trust in decentralized energy transactions, paving the way for more resilient and efficient energy systems.