A Code of Conduct for Marine Carbon Dioxide Removal Research

Given the clear need to inform societal decision-making on the role marine Carbon Dioxide Removal (mCDR) can play in solving the climate crisis, it is imperative that researchers begin to answer questions about its effectiveness and impacts. Yet overly hasty deployment of new ocean-based climate interventions risks harm to communities and ecosystems and could jeopardize public perception of the field as a whole. In addition, the harms, risks and benefits of mCDR efforts are unlikely to be evenly distributed. Unabated, climate change could have a devastating impact on global ecosystems and human populations, and the impacts of mCDR should be contemplated in this context. This Code of Conduct exclusively applies to mCDR research and does not attempt to put any affiliated risk in the context of the risk of delaying climate action. Its purpose is to ensure that the impacts of mCDR research activities themselves are adequately understood and accounted for as they progress. It provides a roadmap of processes, procedures, and activities that project leads should follow to ensure that decisions regarding whether, when, where, and how to conduct mCDR research are informed by relevant ethical, scientific, economic, environmental, and regulatory considerations

Something old, something new: historical perspectives provide lessons for blue growth agendas

This is the author accepted manuscript. The final version is available from Wiley via the DOI in this record.The concept of ‘blue growth’, which aims to promote the growth of ocean economies whilst holistically managing marine socio-ecological systems, is emerging within national and international marine policy. The concept is often promoted as being novel, however, we show that, historical analogies exist which can provide insights for contemporary planning and implementation of blue growth. Using a case study approach based on expert knowledge, we identified 20 historical fisheries or aquaculture examples from 13 countries, spanning the last 40–800 years, that we contend embody blue growth concepts. This is the first time, to our knowledge, that blue growth has been investigated across such broad spatial and temporal scales. The past societies managed to balance exploitation with equitable access, ecological integrity, and/or economic growth for varying periods of time. Four main trajectories existed that led to the success or failure of blue growth. Success was linked to equitable rather than open access, innovation, and management that was responsive, holistic, and based on scientific knowledge and monitoring. The inability to achieve or maintain blue growth resulted from failures to address limits to industry growth and/or anticipate the impacts of adverse extrinsic events and drivers (e.g., changes in international markets, war), the prioritisation of short-term gains over long-term sustainability, and loss of supporting systems. Fourteen cross-cutting lessons and 10 recommendations were derived that can improve understanding and implementation of blue growth. Despite the contemporary literature broadly supporting our findings, these recommendations are not adequately addressed by agendas seeking to realize blue growth.European Commissio

Harvest – a System for Creating Structured Rate Filing Data from Filing PDFs

We present a machine-learning-guided process that can efficiently extract factor tables from unstructured rate filing documents. Our approach combines multiple deep-learning-based models that work in tandem to create structured representations of tabular data present in unstructured documents such as pdf files. This process combines CNN's to detect tables, language-based models to extract table metadata and conventional computer vision techniques to improve the accuracy of tabular data on the machine-learning side. The extracted tabular data is validated through an intuitive user interface. This process, which we call Harvest, significantly reduces the time needed to extract tabular information from PDF files, enabling analysis of such data at a speed and scale that was previously unattainable

The influence of political ideology on trust in science

In recent years, some scholars, journalists, and science advocates have promoted broad claims that ‘conservatives distrust science ’ or ‘conservatives oppose science’. We argue that such claims may oversimplify in ways that lead to empirical inaccuracies. The Anti-Reflexivity Thesis suggests a more nuanced examination of how political ideology influences views about science. The Anti-Reflexivity Thesis hypothesizes that some sectors of society mobilize to defend the industrial capitalist order from the claims of environmentalists and some environmental scientists that the current economic system causes serious ecological and public health problems. The Anti-Reflexivity Thesis expects that conservatives will report significantly less trust in, and support for, science that identifies environmental and public health impacts of economic production (i.e., impact science) than liberals. It also expects that conservatives will report a similar or greater level of trust in, and support for, science that provides new inventions or innovations for economic production (i.e., production science) than liberals. Analyzing data from a recent survey experiment with 798 adults recruited from the US general public, our results confirm the expectations of the Anti-Reflexivity Thesis