Dr. Monica Dantas
I am researching food sustainability through community development. My research focuses on a family farming organization from the Northeast of Brazil that emerged from the Brazilian Landless. The research surveys the current circumstances of the solidarity economy in that region.
In Montreal, I am part of community initiatives such as Incredible Edibles, Transition NDG, also founded Season Jars a community-based, education initiative that uses food as a platform for community building, food security, inter-generational and intercultural learning.
I am a Ph.D. graduate from Concordia University, Montreal. My interdisciplinary study involved sustainable development through data analysis, observation of community organization, and policy integration.
Dr. Monica Dantas
Suggestions for FAO Consultation on the Development of a Voluntary Guidance Tool for Small-Scale Livestock Productivity
Dear FAO Consultation Team,
I am writing to provide my suggestions and views on the proposed objectives, scope, nature, and process for the development of a dedicated voluntary guidance tool for the sustainable enhancement of small-scale livestock productivity. With my background in sustainable family farming development in Brazil, focusing on socio-economy and gender in agriculture, I believe there are crucial considerations to ensure the effectiveness and inclusivity of such a tool.
Objectives:
Scope and Nature:
Challenges of Technology Integration:
Process for Development:
Economic Importance Recognition:
Role of AI and Big Data Analysis:
Furthermore, it is imperative to recognize the potential role of AI and big data analysis in gaining insights from different stakeholders. These technologies can facilitate the collection and analysis of diverse perspectives, helping to produce valuable insights on viable paths forward. Incorporating data-driven decision-making processes will enhance the adaptability and efficiency of the guidance tool.
In conclusion, the development of a dedicated voluntary guidance tool for small-scale livestock productivity should be comprehensive, inclusive, and responsive to the specific needs of these farmers. By addressing the challenges of technology integration, incorporating traditional knowledge, and leveraging AI and big data analysis, we can create a tool that truly enhances sustainability and livelihoods.
Best regards,
Monica Nunes Dantas, PhD.