scholarly journals Using Machine Learning to Analyze Climate Change Technology Transfer (CCTT)

2021 ◽  
Author(s):  
Shruti Kulkarni

The objective of the present paper is to review the current state of climate change technology transfer. This research proposes a method for analyzing climate change technology transfer using patent analysis and topic modeling. A collection of climate change patent data from patent databases would be used as input to group patents in several relevant topics for climate change mitigation using the topic exploration model in this research. The research questions we want to address are: how have patenting activities changed over time in climate change mitigation related technology (CCMT) patents? And who are the technological leaders? The investigation of these questions can offer the technological landscape in climate change-related technologies at the international level. We propose a hybrid Latent Dirichlet Allocation (LDA) approach for topic modelling and identification of relationships between terms and topics related to CCMT, enabling better visualizations of underlying intellectual property dynamics. Further, a predictive model for CCTT is proposed using techniques such as social network analysis (SNA) and, regression analysis. The competitor analysis is also proposed to identify countries with a similar patent landscape. The projected results are expected to facilitate the transfer process associated with existing and emerging climate change technologies and improve technology cooperation between governments.

Author(s):  
Antoine Dechezleprêtre ◽  
Matthieu Glachant ◽  
Ivan Hascic ◽  
Nick Johnstone ◽  
Yann Ménière

Author(s):  
Antoine Dechezleprêtre ◽  
Matthieu Glachant ◽  
Ivan Hascic ◽  
Nick Johnstone ◽  
Yann Ménière

2015 ◽  
Vol 20 (1) ◽  
pp. 146-174 ◽  
Author(s):  
Larry Crump ◽  
Christian Downie

Climate change is the largest and most complicated interdependent issue the world has confronted. Yet there is little negotiation and conflict management knowledge within the climate change context. To address this gap, this theoretical article reviews the sparse extant literature and provides a brief overview of the science of climate change public policy. This review establishes a foundation for examining negotiation and conflict management research questions that emanate from current and future climate change negotiations. Such questions are considered for climate change mitigation negotiations and climate change adaptation negotiations. This article demonstrates how the negotiation and conflict management field can make important contributions to the study of interdependency in a context of climate change.


2017 ◽  
Author(s):  
Chloé Meyer

The purpose of this paper is to summarize the (I) current state of groundwater on SIDS, (II) potential impacts of climate change to groundwater on SIDS, and (III) importance of groundwater resources in climate change mitigation on SIDS. GRAPHIC’s SIDS studies are highlighted, including several from the Pacific, Caribbean, and other regions of the globe. This paper is part of a series of GRAPHIC publications following the release of the GRAPHIC position paper in 2015. Climate change Groundwater SIDS


2021 ◽  
Vol 12 ◽  
Author(s):  
Mariana Gaytan Camarillo ◽  
Eamonn Ferguson ◽  
Vanja Ljevar ◽  
Alexa Spence

Behavioural scientists have been studying public perceptions to understand how and why people behave the way they do towards climate change. In recent times, enormous changes to behaviour and people’s interactions have been brought about by the worldwide coronavirus disease 2019 (COVID-19) pandemic, unexpectedly and indefinitely; some of which have environmental implications (e.g., travelling less). An innovative way to analyse public perceptions and behaviour is with the use of social media to understand the discourse around climate change. This paper focuses on assessing changes in social media discourse around actions for climate change mitigation over time during the global pandemic. Twitter data were collected at three different points during the pandemic: February (time 1), June (time 2), and October 2020 (time 3). By using machine learning techniques, including recurrent neural networks (RNN) and unsupervised learning Latent Dirichlet Allocation (LDA) topic modelling, we identified tweets mentioning actions to mitigate climate change. The findings identified topics related to “government actions,” “environmental behaviours,” “sustainable production,” and “awareness,” among others. We found an increase in tweets identified as “action tweets” relating to climate change for time 2 and time 3 compared with time 1. In addition, we found that the topic of energy seemed to be of relevance within the public’s perceptions of actions for climate change mitigation; this did not seem to change over time. We found that the topic of “government actions” was present across all time points and may have been influenced by political events at time 1, and by COVID-19 discourse at times 2 and 3. Moreover, topic changes over time within Twitter indicated a pattern that may have reflected restrictions on mobility as these tended to focus on individual and private sphere behaviours rather than group and public sphere behaviours. Changes in topic patterns may also reflect an increase in salience of certain behaviours (e.g., shopping), which may have received increased attention due to lockdown restrictions. Considering restrictions and adaptability challenges people face in times of a global pandemic may help to identify how to support sustainable behaviour change and the likely persistence of these changes.


2021 ◽  
Author(s):  
◽  
Saadi Radcliffe

<p>Climate change mitigation is one the greatest challenges facing humankind. Recent attempts at reducing carbon emissions have stalled. Various proposals have been made that aim to reduce the levels of atmospheric carbon dioxide through geoengineering. One such technique is ocean iron fertilisation. This paper examines the current state of international law surrounding geoengineering practices involving the sea, with a predominant focus on ocean iron fertilisation, to evaluate the law’s appropriateness and effectiveness at regulating this conduct. This paper concludes that the current law lacks certainty and clarity. It proposes that the law would be more effective through a legally binding amendment to the London Convention and Protocol, stronger domestic legislation and the removal of economic incentives.</p>


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