Addressing Adaptation in the EU Policy Framework
In: Developing Adaptation Policy and Practice in Europe: Multi-level Governance of Climate Change, S. 39-96
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In: Developing Adaptation Policy and Practice in Europe: Multi-level Governance of Climate Change, S. 39-96
In: Romanian journal of european affairs, Band 8, Heft 1, S. 60-87
ISSN: 1582-8271
In: Romanian Journal of European Affairs, Band 8, Heft 1
SSRN
"Psychological concerns around the impact of smartphone use tends to overshadow all other threats and concerns around digital spaces. This chapter critically considers research that has associated smartphone use with negative traits and behavioural outcomes. In contrast to other areas of smartphone research, and while many prominent academics have argued that smartphone data have a great deal to offer as a research tool in psychology, comparatively little research utilises objective smartphone usage data in relation to potential harms (Andrews et al., 2015). For example, the majority of existing research tends to rely on self-report alone when to quantifying 'addictive' behaviour. A frank discussion regarding similar issues of measurement would help the field move forward more quickly, improve its visibility and generate additional impact from Emotional intelligencea policy and practitioner perspective"--
In: International studies review, Band 8, Heft 1, S. 150-165
ISSN: 1468-2486
In: International studies review, Band 8, Heft 1, S. 150-165
ISSN: 1521-9488
Explanations for the European Unions exploitation of bargaining asymmetries with Central & Eastern European prospects for European enlargement & the latter groups acceptance of such disadvantageous political economic agreements are offered. After reviewing contemporary literature that has sought to theorize European integration processes, conditions that facilitated the European Unions attempts to acquire substantial economic & political concessions from Central & Eastern European prospects are highlighted. Even though contemporary literature states that new members to the European Union receive greater benefits than established members, it is demonstrated that long-standing European Union member-states gained considerable advantages (eg, almost immediate access to Central & Eastern European agricultural markets) & that Central & Eastern European member-states were burdened with substantial costs (eg, upgrading their infrastructures to European standards). Other advantages for existing member-states & disadvantages for Central & Eastern European member-states are identified, eg, new member-states struggles to attain adequate financial resources to ensure their regional competitiveness. The studys political & theoretical implications are also pondered. Tables. J. W. Parker
In: Thesis eleven: critical theory and historical sociology, Band 103, Heft 1, S. 45-53
ISSN: 1461-7455, 0725-5136
Aesthetic experience has been relativized and marginalized by recent social and cultural theory. As less attention has been paid to understanding the nature of aesthetic experience than mapping the distributed social correlates of tastes, its transformative potential and capacity to animate actors' imaginations and actions goes unexplored. In this paper we draw upon a large number of in-depth interviews with performing arts audiences around Australia to investigate the language and discourse used to describe aesthetic experiences. In particular, we begin with theorizations of the subject-object nexus within object-relations theory to consider the transformative potential of aesthetic experience. Using these literatures, and extending them to others within sociology of the arts and materiality, our focus is on the way aesthetic experience can fuse human subjects with aesthetic objects. We examine how viewers take an aesthetic object into themselves and in turn project themselves into the aesthetic object by various visual and imaginative techniques. Our theoretical and empirical analysis bears out the constructive and productive capacity of aesthetic experience.
In: Thesis eleven: critical theory and historical sociology, Band 103, Heft 1, S. 45-54
ISSN: 0725-5136
In: Environmental science & policy, Band 40, S. 1-15
ISSN: 1462-9011
In: Environmental science & policy, Band 14, Heft 8, S. 1062-1078
ISSN: 1462-9011
World Affairs Online
To-date, forest resource-based carbon accounting in land use, land use change and forestry (LULUCF) under the United Nations Framework Convention on Climate Change (UNFCCC), Kyoto Protocol (KP), European Union (EU) and national level emission reduction schemes considers only a fraction of its potential and fails to adequately mobilize the LULUCF sector for the successful stabilization of atmospheric greenhouse gas (GHG) concentrations. Recent modifications at the 2011 COP17 meetings in Durban have partially addressed this basic problem, but leave room for improvement. The presence of an Incentive Gap (IG) continues to justify reform of the LULUCF carbon accounting framework. Frequently neglected in the climate change mitigation and adaptation literature, carbon accounting practices ultimately define the nuts and bolts of what counts and which resources (forest, forest-based or other) are favored and utilized. For Annex I countries in the Kyoto Mechanism, the Incentive Gap under forest management (FM) is significantly large: some 75% or more of potential forestry-based carbon sequestration is not effectively incentivized or mobilized for climate change mitigation and adaptation (Ellison etal. 2011a). In this paper, we expand our analysis of the Incentive Gap to incorporate the changes agreed in Durban and encompass both a wider set of countries and a larger set of omitted carbon pools. For Annex I countries, based on the first 2years of experience in the first Commitment Period (CP1) we estimate the IG in FM at approximately 88%. Though significantly reduced in CP2, the IG remains a problem. Thus our measure of missed opportunities under the Kyoto and UNFCCC framework - despite the changes in Durban - remains important. With the exception perhaps of increased energy efficiency, few sinks or sources of reduced emissions can be mobilized as effectively and efficiently as forests. Thus, we wonder at the sheer magnitude of this underutilized resource.
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In: HELIYON-D-24-04196
SSRN
In July 2016, the European Commission (EC) published a legislative proposal for incorporating greenhouse gas emissions and removals due to Land Use, Land Use Change and Forestry (LULUCF) into its 2030 Climate and Energy Framework. The Climate and Energy Framework aims at a total emission reduction of 40% by 2030 for all sectors together as part of the Paris Agreement. The LULUCF proposal regulates a "no debit" target for LULUCF (Forests and Agricultural soils), and regulates the accounting of any additional mitigation potential that might be expected of it. We find that the forest share of the LULUCF sector can achieve much more than what is in the regulation now. We elaborate a strategy for unlocking European Union (EU) forests and forest sector potential based on the concept of "climate smart forestry" (CSF). We find that to-date, European policy has not firmly integrated forest potential into the EU climate policy framework. Nor have climate objectives been firmly integrated into those of the forest and forest sector at either the EU or national level. Yet a wide range of measures can be applied to provide positive incentives for more firmly integrating these climate objectives into the forest and forest sector framework. With the right set of incentives in place at EU and Member States levels, we find the current literature supports the view that the EU has the potential to achieve an additional combined mitigation impact through CSF of 441 Mt CO2/year by 2050. In addition, CSF, through reducing and/or removing greenhouse gas emissions, adapting and building forest resilience, and sustainably increasing forest productivity and incomes, tackles multiple policy goals.
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Machine Learning (ML) is more than just training models, the whole life-cycle must be considered. Once deployed, a ML model needs to be constantly managed, supervised and debugged to guarantee its availability, validity and robustness in dynamic contexts. This demonstration presents an agent-based ML workflow manager so-called Scanflow1, which enables autonomic management and supervision of the end-to-end life-cycle of ML workflows on distributed clusters. The case study on a MNIST project2 shows that different teams can collaborate using Scanflow within a ML project at different phases, and the effectiveness of agents to maintain the model accuracy and throughput of the model serving while running in production. ; This work was partially supported by Lenovo as part of LenovoBSC 2020 collaboration agreement, by the Spanish Government under contract PID2019-107255GB-C22, and by the Generalitat de Catalunya under contract 2017-SGR-1414 and under grant 2020 FI-B 00257. ; Postprint (published version)
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