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Fuca, Romina
University of Verona, Italy
Verona, Italy
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Romina Fucà received her BA in political science from the University of Palermo, and her PhD in systems theory from the University of Macerata. For the past two decades she has researched postwar totalitarianism. Her work presents insights into probability and conditionalities in subjective preferences, with philosophical approaches to decision-making in human affairs when it is strongly vulnerable to, and at the same time boosted by, uncertainties.

Romina is a passionate reader. A few years ago, she came across the writings of mathematician and social scientist R. Duncan Luce. Since then, she has continuously moved from one computer science subject to the next. She is currently interested in the application of axiomatic probability in the social sciences to better understand human thought.

Romina has authored many papers in sociology as well as a book on the Schengen Area and security systems. She is a PhD tutor for distance learning at the University of Verona’s School of Economics and Management; a member of the Reviewer Board for MDPI’s Sustainability journal; and serves on Frontiers in Law’s editorial board. She has been a reviewer for Computing Reviews since early 2022.

Date Reviewed  
- 4 of 4 reviews

  Artificial intelligence, machine learning, and optimization tools for smart cities: designing for sustainability
Pardalos P., Th. Rassia S., Tsokas A., Springer International Publishing, Cham, Switzerland, 2022. 243 pp.  Type: Book (978-3-030844-58-5)

The book’s 11 chapters deal with digital “vitalism” in cities, unbuildable cities, smart cities and identities, services and data representation of information and communication technology (ICT), strategies for passers-by, electr...

May 22 2023  
  A theoretical perspective on hyperdimensional computing
Thomas A., Dasgupta S., Rosing T. Journal of Artificial Intelligence Research 72(1): 215-249, 2022.  Type: Article

Thomas, Dasgupta, and Rosing offer a tricky essay on hyperdimensional (HD) computing, a representational-transformational-retrieval computing paradigm that is brain-inspired, starting from signal levels as electrodes. All the content is highly tec...

Mar 27 2023  
   Biases in AI systems
Srinivasan R., Chander A. Communications of the ACM 64(8): 44-49, 2021.  Type: Article

As Srinivasan and Chander discuss, software packages and algorithms encounter many biases related to images on the web. This is then an article on computer application control, not human user control. Machine learning (ML) and artificial intellige...

Oct 24 2022  
  Analysis of COVID-19 tracking tool in India: case study of Aarogya Setu mobile application
Gupta R., Bedi M., Goyal P., Wadhera S., Verma V. Digital Government: Research and Practice 1(4): 1-8, 2020.  Type: Article, Reviews: (1 of 2)

Gupta et al. focus on the development of tests, methods, and reference data, and the reliability of information used in proximity sensing for health and safety-related software, such as the Aarogya Setu mobile application provided by t...

Jul 11 2022  
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