This study looks at how choosing certain plants with traits like shade, leaves, and crown shape can help Puerto Rico communities face climate disasters. It shows how individual and community decisions play a big role
Read moreCategory: Data Analytics and Information Sciences
Application of Principal Component Analysis as an Unsupervised Machine Learning to Model Socio-Economic Status of a Community under Natural Disaster
CRISys is a data-driven framework that measures community resilience during disasters using census data and machine learning. It shows how socio-economic factors shape recovery in Jefferson County, TX. Community resilience is defined as an ability
Read moreTHE AI-DRIVEN REENGINEERING OF LEGISLATIVE AND POSTAL SYSTEMS: Streamlining Collective Intelligence Towards Sustainable Development
This paper presents “Democratic Ergonomics,” where AI and citizen feedback close gaps in legislative systems. The goal is to make governments more efficient, accountable, and able to get all SDGs back on track. The UN
Read moreData-Driven Solutions for MSW Material Composition Prediction: Bridging Industrial Engineering and Sustainability
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
Read moreTHE 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 moreFood Wastage in Food Service Industry, Drivers & Consequences
Food production uses lots of land, water, and causes high emissions. A big part of food waste happens in restaurants and retail. Measuring and reducing this waste can save resources and cut environmental damage. Research
Read moreChanging Administrations, Shifting Corporate Sustainability Policies: Opportunities for Industrial and Systems Engineers
US climate policy keeps changing with each president, while the EU stays steady. This creates uncertainty but also chances for ISEs to work on risk planning, supply chains, data, and sustainability in business. Dramatic swings
Read moreBig Data as Sustainable Educational Key to a Waste-Free Future
Big Data helps companies spot patterns and improve processes fast. It makes supply chains and energy use more efficient, lowers carbon impact, and supports sustainable goals through better decisions. How can we reconcile economic growth
Read moreAddressing Food Insecurity by Optimizing Partner Agency Operating Hours
Abstract: Food banks work to address the problem of food insecurity for low-income and underrepresented populations. The food bank acquires food and distributes it to their partner agencies, who, in ton, distribute the food to
Read moreEvidence Based Green City Evaluation and Prediction in The New Normal
Abstract: A green city (GC) implies as an environmental-friendly. How to enhance every city to a green city is a crucial to achieve the new normal after the pandemic. The challenges are with soundness of
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