Luana Marrocco

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About

Luana Marrocco is a researcher at the intersection of blockchain technology and urban simulation, with a primary focus on developing decentralized frameworks for smart city modeling. Her most-cited work, "BASIC: Towards a Blockchained Agent-Based SImulator for Cities" (2019), introduces a novel approach that integrates blockchain with agent-based modeling to enhance transparency, security, and trust in urban simulations. This foundational contribution addresses critical challenges in city planning, such as data integrity and decentralized decision-making, offering a scalable tool for simulating complex urban dynamics. With 9 citations, this paper has laid the groundwork for further exploration of blockchain applications in computational social science and smart city research. Marrocco’s work is notable for bridging theoretical concepts with practical simulation tools, positioning her as a key voice in the emerging field of blockchained urban systems. Her research holds promise for advancing sustainable and resilient city infrastructures, making her a researcher to watch for students and scholars interested in the convergence of distributed ledger technology and urban analytics.