The quest to achieve the United Nations (UN) sustainable development goals (SDGs) agenda 2030 is the hope and dream of every nation globally. The 17 SDGs adopted by the UN member states in September 2015 broadly address three significant issues - countries' economic, social, and environmental welfare. Achieving these primary goals turned out to be a considerable challenge due to several factors, notably the pandemic, insecurity, and environmental degradation. The insecurity created by certain groups and movements in various parts of the world is affecting the agricultural system whereby farmers cannot farm, creating food insecurity.
Moreover, this insecurity creates severe negative environmental impacts on terrestrial habitats. Human actions such as disposal of municipal solid waste, dumping refuse into the seawater, etc., significantly affect the ecosystem. The actions and lifestyles of people need to be addressed and changed to achieve sustainable development. Mathematical optimization and statistical analysis methods have helped to support the decision-making process on micro-and macro-economic levels. With the support of today's computer power, large-scale mathematical models can deal with real-world data and guide practitioners to operate their respective systems in a more brilliant, more sustainable way.
The nature of the problem attracts several researchers in this domain. Since the targeted year for the SDG agenda (2030) is approaching soon, there is a need to devise optimization approaches to measure the achievement of these goals and explore possible working policies that will guide the fast-tracking and optimal achievements of SDGs. To this end, this Research Topic dwells on the research related to environmental waste management and renewable energy sources optimization. It explores its potential to bridge the gap and suggest a guiding policy for the proper implantation.
This Research Topic will concentrate on SDG 2 (Ending hunger, achieving food security, improving nutritional value via agricultural promotion and improvement), SDG 7 (Affordable and Clean Energy), SDG 11, and SDG 12 (Sustainable Waste services and responsible consumption and production), including targets focused on environmentally sound management of all waste through prevention, reduction, recycling and reuse (targets 12.4 and 12.5), and reduction of food waste (target 12.3) waste services prominently feature in the targets and indicators of both SDG 11 and SDG 12, notably with commitments to prevent, reduce, recycle and reuse – as well as to properly collect and discharge – urban solid waste and halve global food waste by 2030; and to handle appropriately and treat chemical and other hazardous waste. It will provide a valuable compendium of several decision-making problems in SDGs related topics. This Research Topic will broadly cover applications of mathematical optimization & statistical techniques in decision-making in SDGs.
This Research Topic will include but is not limited to the following topics.
• The role of decision-making tools in actualizing SDGs.
• How does human lifestyle affect the implementation of the SDGs?
• How does climate change affect the SDGs target in the long run?
• Applications of Statistical and Optimization Methods in analyzing SDGs.
• The role of renewable energy for achieving SDGs.
• The role of the green economy in SDGs.
• How does industry 4.0 help achieve the SDGs.
The quest to achieve the United Nations (UN) sustainable development goals (SDGs) agenda 2030 is the hope and dream of every nation globally. The 17 SDGs adopted by the UN member states in September 2015 broadly address three significant issues - countries' economic, social, and environmental welfare. Achieving these primary goals turned out to be a considerable challenge due to several factors, notably the pandemic, insecurity, and environmental degradation. The insecurity created by certain groups and movements in various parts of the world is affecting the agricultural system whereby farmers cannot farm, creating food insecurity.
Moreover, this insecurity creates severe negative environmental impacts on terrestrial habitats. Human actions such as disposal of municipal solid waste, dumping refuse into the seawater, etc., significantly affect the ecosystem. The actions and lifestyles of people need to be addressed and changed to achieve sustainable development. Mathematical optimization and statistical analysis methods have helped to support the decision-making process on micro-and macro-economic levels. With the support of today's computer power, large-scale mathematical models can deal with real-world data and guide practitioners to operate their respective systems in a more brilliant, more sustainable way.
The nature of the problem attracts several researchers in this domain. Since the targeted year for the SDG agenda (2030) is approaching soon, there is a need to devise optimization approaches to measure the achievement of these goals and explore possible working policies that will guide the fast-tracking and optimal achievements of SDGs. To this end, this Research Topic dwells on the research related to environmental waste management and renewable energy sources optimization. It explores its potential to bridge the gap and suggest a guiding policy for the proper implantation.
This Research Topic will concentrate on SDG 2 (Ending hunger, achieving food security, improving nutritional value via agricultural promotion and improvement), SDG 7 (Affordable and Clean Energy), SDG 11, and SDG 12 (Sustainable Waste services and responsible consumption and production), including targets focused on environmentally sound management of all waste through prevention, reduction, recycling and reuse (targets 12.4 and 12.5), and reduction of food waste (target 12.3) waste services prominently feature in the targets and indicators of both SDG 11 and SDG 12, notably with commitments to prevent, reduce, recycle and reuse – as well as to properly collect and discharge – urban solid waste and halve global food waste by 2030; and to handle appropriately and treat chemical and other hazardous waste. It will provide a valuable compendium of several decision-making problems in SDGs related topics. This Research Topic will broadly cover applications of mathematical optimization & statistical techniques in decision-making in SDGs.
This Research Topic will include but is not limited to the following topics.
• The role of decision-making tools in actualizing SDGs.
• How does human lifestyle affect the implementation of the SDGs?
• How does climate change affect the SDGs target in the long run?
• Applications of Statistical and Optimization Methods in analyzing SDGs.
• The role of renewable energy for achieving SDGs.
• The role of the green economy in SDGs.
• How does industry 4.0 help achieve the SDGs.
