Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
Filtered by: Sustainability
Predicting Daily CO₂ Emissions with Machine Learning and Deep Learning Models
The recent devastating wildfires in California serve as a reminder of the urgent need for actionable climate solutions. These events, fueled by rising global temperatures and unchecked CO₂ emissions, highlight the importance of understanding and predicting carbon output on a more granular level.
From pore to process: an industrially promising application for MOFs in separating the most potent greenhouse gas
SF6/N2 separation is crucial for sustainable development. Here, we prepared low-cost and robust MOF composite pellets and established a vacuum temperature swing adsorption process with both high recovery and high purity of SF6.
How Climate-related Financial Policies Drive Emissions Reductions and Renewable Energy Growth
Climate-related financial policies (CRFPs) address climate change and financial stability by reducing risks and driving green investments. This study examines how their sequencing and enforcement shape CO2 emissions and renewable energy across 87 countries, offering policy insights.
Unsettling Power Dynamics: Collective Dialogues to Transform North-South Academic Partnerships
What does it take to move beyond entrenched colonial dynamics in North-South academic collaborations? Can collective reflexivity lead us toward meaningful change? In our recent work we explored a transformative approach to addressing these issues.
Gridded precipitation intensity-duration-frequency curves in Qinghai-Tibet Plateau
The Qinghai-Tibet Plateau Precipitation Intensity-Duration-Frequency Curves (QTPPIDFC) dataset, with a 1/30° spatial resolution, is generated, as the first gridded dataset tailored for estimating extreme precipitation characteristics in the region.
The decreasing housing utilization efficiency in China’s cities
In contrast to most regions of the world, where there are high rates of urbanization, there is no shortage of urban housing in China. Quite the opposite: there has been an overproduction of housing in Chinese cities.
Towards Sustainable Benchmarking in AI for Digital Pathology
Deep Learning (DL) can transform medical diagnostics, but its environmental cost is often overlooked. A new benchmarking approach for DL in pathology is vital, integrating carbon footprint with diagnostic performance to develop sustainable, efficient AI solutions.
