Influence of interdisciplinarity on scientific impact: The case of climate change field

Song, Yijia; Fang, Zhichao; Fu, Hui‐Zhen

doi:10.1016/j.joi.2023.101410

Cited by 6 publications

(3 citation statements)

References 73 publications

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“…These frameworks are necessary for tracking the effectiveness and efficiency of investments (König et al, 2013). By utilizing knowledge from the social sciences, engineering, policy analysis, and healthcare, multidisciplinary research may provide strong guidelines and benchmarks to assess project results, ensuring efficient utilization of funds (Song et al, 2023). Increasing involvement beyond traditional experts through approaches like "post-normal science" and "citizen science" is essential in action-oriented climate and multidisciplinary research.…”

Section: Targeted Research Projectsmentioning

confidence: 99%

Promoting transdisciplinary collaboration in academia: uniting for climate-resilient health

Qamar,

Qayum,

Nisa

et al. 2024

Front. Clim.

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In a world where some regions are directly experiencing the effects of the climate change, while others are more vulnerable; this article dives into the deep and frequently catastrophic impact of the climate change on vulnerable countries. This review emphasizes the need for transdisciplinary academic collaboration, including social scientists, healthcare professionals, engineers, policy experts, and climate scientists, and underscores academia’s potential role in advancing climate-resilient health systems in these areas. The study promotes inclusive research that prioritizes at-risk groups, involves communities, and supports culturally sensible methodologies. Beyond their traditional tasks, academia has an obligation for action, learning, innovation, and change. To address the complex health concerns brought on by the planetary crisis, collaboration across academic fields and in tandem with communities, governments, and international organizations is crucial. Ongoing collaboration between academia, governments, and stakeholders is crucial to developing healthcare systems and technologies that are climate resilient. The complex role of academia involves developing pioneering solutions in healthcare for a sustainable future, advocating for policies based on evidence, and educating the next generation of professionals.

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Section: Targeted Research Projectsmentioning

confidence: 99%

Promoting transdisciplinary collaboration in academia: uniting for climate-resilient health

Qamar,

Qayum,

Nisa

et al. 2024

Front. Clim.

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“…Science and technology are becoming more interdisciplinary to create knowledge in a new level (Song et al, 2023). Researchers and government continue to be interested in exploring the role and measures of interdisciplinary (Chen et al, 2022;Leydesdorff et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

A deep learning approach to enhance accuracy and diversity of recommendation for interdisciplinary journals

Yang,

Wang,

Shi

et al. 2024

Preprint

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To meet scholars' need to recommend both higher accuracy and diversity when submitting interdisciplinary papers, this paper proposes an improved journal diversity recommendation method based on the attention mechanism in deep learning. This method can retain all key information in long texts by using the attention mechanism. It identifies and stores the research directions and hotspots covered in different papers across journals to extract common research topics for each journal type. Five deep learning models based on attention mechanism are introduced, 104,176 paper abstracts from 111 Web of Science journals are used to fine-tune the models. After learning on training set and model testing on the test set, recommendation accuracy and diversity results are calculated for 9 categories. Finally, the recommendation accuracy and diversity of the 5 attention mechanism based deep learning models are compared with benchmark models across different journal types. The experimental results demonstrate the feasibility and superiority of this method comprehensively considering the metrics of accuracy and diversity at a large scale. It provides theoretical and practical advancements to develop an effective journal recommender system which helps scholars to make wise decision for journal submission.

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“…Some scholars have utilized OLS, VAR, and GARCH-type models to examine causality between variables [35][36][37]. However, these methods rely on estimating the conditional mean and cannot capture the causal relationship between market returns and volatility across the entire conditional distribution.…”

Section: Introductionmentioning

confidence: 99%

The Asymmetric Effects of Extreme Climate Risk Perception on Coal Futures Return Dynamics: Evidence from Nonparametric Causality-In-Quantiles Tests

2023

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This paper uses nonparametric causality-in-quantiles tests to examine the asymmetric effects of climate risk perception (CRP) on the thermal and coking coal futures high-frequency returns and volatilities. The results show that CRP significantly impacts the dynamic high-frequency returns of the coal futures market, with volatility indicators exhibiting asymmetry at different percentiles and being more pronounced in a downward market. The influence of CRP on dynamic coal futures mainly transmits through continuous components, while its impact on coking coal futures primarily transmits through jump parts. Additionally, the positive and negative volatilities of coal futures are asymmetrically affected by CRP. By incorporating the climate risk perception factor, investors can better predict price fluctuations in the coal market. This study provides an important supplement to the theory of pricing climate risks, and it is beneficial for formulating financial policies related to climate risk management and promoting the sustainable development of the coal industry.

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Influence of interdisciplinarity on scientific impact: The case of climate change field

Cited by 6 publications

References 73 publications

Promoting transdisciplinary collaboration in academia: uniting for climate-resilient health

Promoting transdisciplinary collaboration in academia: uniting for climate-resilient health

A deep learning approach to enhance accuracy and diversity of recommendation for interdisciplinary journals

The Asymmetric Effects of Extreme Climate Risk Perception on Coal Futures Return Dynamics: Evidence from Nonparametric Causality-In-Quantiles Tests

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