Climate Changes through Data Science: Understanding and Mitigating Environmental Crisis

Abstract

Climate change represents an urgent environmental crisis with far-reaching risks to ecosystems and human communities worldwide. Rapid development of mitigation strategies and solutions is imperative but relies profoundly on advancements in detection, attribution, and prediction derived from climate data analytics. This paper examines the growing role of data science in not only quantifying anthropogenic climate change but also informing impact assessment and targeted intervention across climate-sensitive sectors. First, we survey established and emerging techniques for climate characterization, including machine learning applications on Earth systems data. Next, we discuss how sophisticated climate models alongside statistical analysis of multi-domain datasets—from migration patterns to crop yields—deepens scientific comprehension of climate change repercussions. Building on these insights, we spotlight data-enabled solution paradigms enabling smart climate action, ranging from high-resolution climate risk mapping, emissions reductions via optimized renewable energy infrastructure, to global warming suppression via solar radiation management. However, we also carefully examine the practical limitations hindering deployment and the ethical concerns posed by certain climate intervention proposals. Ultimately, while data science delivers powerful tools for climate change detection, attribution, and response, this paper underscores how continued climate data gathering alongside cross-disciplinary collaboration is vital to overcome analytical uncertainties, implementation barriers, and moral objections as we work to avert profound environmental breakdown.

Insights into optoelectronic, thermodynamic, and thermoelectric properties of novel GePtCh (Ch = S, Se, Te) semiconductors: first-principles perspective

“…New possibilities for the quest for superior functional materials (FM) are opened up by the quick development of new technologies. Recent research endeavors aim to create prospective semiconductor materials, both single and poly-crystal, that satisfy the distinct demands of technological uses [39][40][41]. This work's main goal is to use DFT modeling and investigation to examine the electrical, optical, and thermoelectric characteristics of three narrow band gap GePtCh (Ch = S, Se, and Te) semiconductors.…”

Optimization of Shear Resistance in Precast Concrete Sandwich Wall Panels Using an S-Type Shear Connector

“…Construction projects can minimise environmental impacts by reducing material usage in PCSPs and conserving natural resources such as aggregates, cement, and water. This reduction in raw material consumption helps preserve finite resources and reduces the ecological footprint of construction activities [12]. New materials and technologies have emerged that allow shear connectors to be integrated directly into the insulation cores of sandwich wall panels [13].…”