Using machine learning, this study predicts waste composition by county to improve recycling and waste-to-energy planning. It also builds the first open dataset to help governments and educate the public on better waste habits. According
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THE AI-DRIVEN REENGINEERING OF LEGISLATIVE AND POSTAL SYSTEMS: Streamlining Collective Intelligence Towards Sustainable Development
This paper introduces “Democratic Ergonomics,” using AI and feedback systems to make governments more accountable and efficient. The idea is to close gaps in legislation so all SDGs can move forward faster and cheaper. The
Read moreA Framework for Carbon Accounting for Sustainable Supply Chains using Blockchain, IoT, and AI
Abstract: Carbon accounting plays a pivotal role in promoting sustainability by monitoring carbon emissions throughout supply chains and encouraging eco-friendly practices, combating climate change. It can help organizations identify major carbon emission sources, enabling them
Read moreAn Experimental Study of Factors Affecting the Accuracy of Measuring Elemental Compositions of Materials Using an X-Ray Fluorescence Spectroscopy (XRF) Analyzer
Abstract: Analyzing elemental composition is essential in optimizing the quality and quantity of food production. The effective utilization of an X-Ray Fluorescence Spectroscopy (XRF) Analyzer can be beneficial in identifying the effects of the amount
Read moreUnderstanding Enablers and Barriers for Deploying AI/ML in Humanitarian Organizations: The Case of DRC’s Foresight
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) capabilities have the potential for large-scale impact to tackle some of the world’s most pressing humanitarian challenges and help alleviate the suffering of millions of people. Although
Read moreA Machine Learning Ensemble Approach for Sustainable Economic Development
Abstract: According to multigenerational values for future generations, the concept of sustainability primarily refers to the preservation of economic, human, and natural resources so that they do not abruptly deplete. As part of economic sustainability,
Read morePrediction of Air Pollution Based on Traffic and Weather Data Using Artificial Intelligence
Abstract: Criteria airborne pollutants, such as particulate matter (PM2.5) and sulfur dioxide (SO2), can cause harm to human health and the environment. Underserved areas near major interstates and industry, such as Prichard, Alabama, can easily
Read moreRole of IOT & AI in decarbonizing in lifecycle refrigeration management: a 90 Billion Metric Ton CO2 eq emissions opportunity.
Abstract: The world faces an unprecedented challenge as average temperature rises and many solutions to reduce carbon immersions require prohibitively high capital investments. This presentation will provide details of a low cost yet impactful technology
Read moreDesigning a collaborative online transportation platform for sustainable regional food distribution
Abstract: Regional food systems offer the potential to improve agricultural sustainability and community resilience. However, regional farmers must find ways of expanding their market reach to a larger number of buyers to ensure the survival
Read moreSustainable Education Tools: a calculator for the emissions of Greenhouse Effect Compounds
Abstract: This paper describes the use of a calculator for the emissions of Greenhouse Effect Compounds as Sustainable Education Tool, using the case of a major Mexican Transnational company. In 2012 the Climate Change General Law
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