- Aug 2022
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psyarxiv.com psyarxiv.com
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Zhao, W. J., Coady, A., & Bhatia, S. (2021). Computational mechanisms for context-based behavioral interventions: A large-scale analysis. PsyArXiv. https://doi.org/10.31234/osf.io/8cyad
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- May 2022
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report.ipcc.ch report.ipcc.ch
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Demand-side solutions require both motivation and capacity for change (high confidence).34Motivation by individuals or households worldwide to change energy consumption behaviour is35generally low. Individual behavioural change is insufficient for climate change mitigation unless36embedded in structural and cultural change. Different factors influence individual motivation and37capacity for change in different demographics and geographies. These factors go beyond traditional38socio-demographic and economic predictors and include psychological variables such as awareness,39perceived risk, subjective and social norms, values, and perceived behavioural control. Behavioural40nudges promote easy behaviour change, e.g., “improve” actions such as making investments in energy41efficiency, but fail to motivate harder lifestyle changes. (high confidence) {5.4}
We must go beyond behavior nudges to make significant gains in demand side solutions. It requires an integrated strategy of inner transformation based on the latest research in trans-disciplinary fields such as psychology, sociology, anthropology, neuroscience and behavioral economics among others.
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- Jan 2022
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psyarxiv.com psyarxiv.com
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Strickland, J. C., Stoops, W., Banks, M., & Gipson-Reichardt, C. D. (2022). Logical Fallacies and Misinterpretations that Hinder Progress in Translational Addiction Neuroscience. PsyArXiv. https://doi.org/10.31234/osf.io/frd5e
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- Jul 2020
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psyarxiv.com psyarxiv.com
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Matamala-Gomez, M., Maselli, A., Malighetti, C., Realdon, O., Mantovani, F., & Riva, G. (2020). Body illusions for mental health: A systematic review [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/mk69x
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- Apr 2020
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psyarxiv.com psyarxiv.com
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Ennis, E. G. (2020, April 16). A Novel Solution to Academic Publishing. https://doi.org/10.31234/osf.io/gqxmu
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