How to make decisions on complex environmental issues?

Mariia Kozlova
Post-doctoral Researcher, Docent,
LUT University

Julian Scott Yeomans
Professor, Operations Management and Information Systems,
Director, Master of Business Analytics (MBAN) Program,
Director, Master of Management in Artificial Intelligence (MMAI) Program,
Schulich School of Business,
York University, Canada

We trust that the number and quality of the papers will prove to be of significant value to the many different researchers and practitioners who actively engage in applying disparate computational methodologies to sustainability analysis and environmental decision-making using simulation, optimization, and analytics. It is our sincere hope that this book will not only enlighten readers on the current state-of-the-art applications in computational sustainability, but will also serve to inspire further collaboration and cooperation on extensions to these topics. Continuing advancement on these topics is always necessary as “It is difficult to predict, especially the future” (Danish proverb often attributed to Niels Bohr) but, more to the point and borrowing from the deeply philosophical characters in the cartoon Calvin and Hobbes, “The trouble with the future is that it keeps turning into the present”.
The book by Mariia Kozlova and Julian Scott Yeomans “Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytic” includes a number of such applied computational analytics contributions that either create new decision-making methods or provide innovative implementations of existing methods for addressing a wide spectrum of sustainability applications, broadly defined. The rich diversity of applications within the papers exemplifies the considerable range of both methodological relevance and practical contributions to research in environmental analysis. The disparate contributions all emphasize novel approaches of computational analytics as applied to environmental decision-making and sustainability analysis –be this on the side of optimization, simulation, modelling, computational solution procedures, visual analytics, and/or information technologies.

from Mariia Kozlova, Timo Nykänen and Julian Scott Yeomans Technical Advances in Aviation Electrification: Enhancing Strategic R&D Investment Analysis through Simulation Decomposition Reprinted from: Sustainability 2022, 14, 414, doi:10.3390/su14010414
Kozlova, M. & Scott Yeomans, J. S.(2022) Sustainability Analysis and Environmental Decision-Making Using Simulation, Optimization, and Computational Analytics. MDPI, Basel, Switzerland, p. 248.
Keywords
environmental decision-making; simulation; simulation decomposition; optimization; computational analytics; visual analytics; sustainability analysis; waste management; water resource planning; energy policy; climate change; industrial ecology; resource recovery; recycling