About this Research Topic
Computer science has generated important advances in diverse areas of knowledge, policy, production, and consumption, enabling informed decision-making that reduces the environmental impacts of society. Within Computer Science, the development of data science, artificial intelligence, image and signal processing, and other methods have allowed for innovative approaches for analysis, assessment, and dissemination of information worldwide. Numerous computational tools provide a powerful mechanism of change into our livelihoods nowadays, especially towards incentives for the adoption of sustainable actions throughout production chains.
Food systems are particularly important due to their vital role in providing employment, income, well-being, nutrition, and health promotion throughout the processes involved in production and consumption. Yet, it is important to acknowledge that agents interact within food systems that present singular characteristics, exhibiting behaviors and interactions marked by nonlinear patterns, emergency, phase transitions, adaptiveness, and self-organization in complex networks that may result in unexpected outcomes for environmental sustainability.
This Research Topic invites manuscripts that deal with applications of computational methods, data governance, and ICT access in food systems for the promotion of sustainability. Approaching the digital era in food systems decision-making processes will enhance the existing knowledge on applications of computational methods within food systems to fulfill the gap in the existing literature, especially regarding the digital divide between stakeholders in food systems from farm to fork.
The types of manuscripts considered for publication in this Research Topic are Original Research, Systematic Review, Methods, Policy and Practice Reviews, Hypothesis and Theory, Policy Brief, and Technology and Code.
Manuscripts submitted should clearly address issues in food systems sustainability using one or more of the following approaches:
• Use of computational methods in data science (e.g., artificial intelligence, data mining, machine learning);
• Adoption of complex systems perspective (e.g., complex networks analysis, agent-based modeling);
• Digital divide in information and communication technology (e.g., public policy towards universal access, innovations in information and communication technology);
• Image and signal processing methods applied/adapted to solve problems related to sustainable food systems (e.g., image-based georeferencing, photogrammetric spectroscopy, or ultrasound applications,);
• Data governance and equity in the accessibility of digital technologies for sustainable food systems (e.g., data sharing, data sovereignty, publicly available datasets, and information systems)
Keywords: food systems, sustainability, computer science, information and communication technology, complex systems, digital divide, machine learning, image and signal processing, data governance
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.