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24 results for “Social Sustainability”
EnergyPROSPECTS Energy Citizenship Factsheet Series, Part 7: Aspects of ENCI III.: Towards social sustainability
<p>This document is Part 7 of the EnergyPROSPECTS Factsheet Series. We have created the Series to publish the results of a mapping of energy citizenship in Europe, along with the first stage of our analysis of the respective data. The EnergyPROSPECTS consortium mapped 596 cases of energy citizenship (ENCI) between November 2020 and May 2021 using desk research, collecting data on many aspects of the cases. Although the analysis is a work in progress, we believe it is important to share our data and, through doing this, contribute to the understanding of energy citizenship in Europe.</p> <p>EnergyPROSPECTS (PROactive Strategies and Policies for Energy Citizenship Transformation), a H2020 project between 2021-2024, works with a critical understanding of energy citizenship that is grounded in state-of-the-art social sciences and humanities (SSH) insights.</p>
Coastal SEES Collaborative Research: Coastal Sustainability: A cross-site comparison of salt marsh persistence in response to sea-level rise and feedbacks from social adaptations
Coastal ecosystems are often valued for decision-making purposes based on monetized market and non-market values of goods and services, and associated economic impacts. Examples include values of fishery landings, price changes for waterfront homes, and tourism revenues. Monetized quantities such as these do not provide a comprehensive characterization of the values provided by these ecosystems. Human reliance on the goods and services provided by ecosystems and the global decline in the health of many of these ecosystems suggests the need for ecosystem valuation to help inform decision-making and conservation policy. However, traditionally employed economic valuation methods are rarely able to capture the full scope of the benefits ecosystems provide, including benefits provided by "cultural" ecosystem services. Qualitative methods such as focus groups can provide insight on these values not available through quantitative methods alone. This research explores public perceptions of salt marsh value through the use of semi-structured focus groups in marsh-adjacent communities in Massachusetts, Virginia, and Georgia. The data include de-identified focus group transcripts from three 90-minute focus groups held in each state. Initial questions were drawn from the same semi-structured question list in each focus group, with exploratory follow-up questions based on participant responses. Results of text analysis suggest that in case study communities, outdoor experiences in salt marshes inspire serenity in Massachusetts, influence shore identities in Virginia, and promote stewardship cultivation in Georgia. Perceived threats to these benefits, such as the threat of residential development, industrial pollution, and increasing flood risk, together constitute the context for various community responses related to marsh protection. Results supplement information from extant economic valuations and show the importance of utilizing diverse methods to elicit information on soci
Triggering Sustainable Biogas Energy Communities through Social Innovation- ISABEL ---- Social Innovation and Community energy best preactices, methods and tools across Europe ----Semi-structured interviews from communities
<p>Having identified through the literature review various success and failure factors for social innovation applied to community energy projects, ISABEL has further conducted 18 semi-structured interviews of a range of stakeholders. The interviewee sample was a convenience sample of participants in existing projects and thus, inevitably, they are able to speak more to successful than unsuccessful projects and they likely have had less exposure to obstacles to the success of their projects. T The interviews have focused on identifying answers to the questions: <em>What were the key success factors? What obstacles were overcome? How? Participants were also asked to specify the type of renewable energy and community energy model. </em></p>
Assessing Student Sustainable Learning Engagement in Mobile Learning through Social Cognitive Theory and Social Learning Theory
<p><span>Data collected and processed as part of the ODDEA (Overcoming Digital Divide Between Europe and Southeast Asia) EU research project (<em>Project ID: HORIZON MSCA-SE 101086381)</em>.</span><span> the data was collected as part of ODDEA WP2.</span></p>
Data for the paper, "Social media data for environmental sustainability: a critical review of opportunities, threats and ethical use"
<p>These data were collected for the paper, "Social media data for environmental sustainability: a critical review of opportunities, threats and ethical use" published in One Earth. It includes a database of studies applying social media data in environmental sustainability research, which were collected and reviewed in full by the authors. Rather than providing a comprehensive summary of all relevant literature like in a systematic review, our objective was to take stock and evaluate the previous body of work in the field in order to promote conceptual innovation from its critical examination. Building on a set of 169 studies collected in a previous systematic review of social media data applications in environmental research (Ghermandi and Sinclair 2019), the database includes additional relevant studies that were identified by snowballing previous references and adding further gray and scientific academic articles known to the authors. For studies to be included in our analysis, they had to involve the use of data from one or more social media platforms and investigate human interactions with and/or impacts on the environment. We relied on a broad definition of social media including any website or application that enables users to create and share content or to participate in social networking (e.g., blogging sites, recommendation sites, and online forums). We further strengthened the analysis by including insights from additional literature on social media that do not have a direct application to environmental sustainability (e.g., studies on biases in social media data). The final database consists of 415 studies, which were published between 2011 and 2021.</p> <p> </p> <p>Ghermandi, Andrea, and Michael Sinclair. "Passive crowdsourcing of social media in environmental research: A systematic map." <em>Global environmental change</em> 55 (2019): 36-47.</p>
Data from: The evolutionary origins of natural pedagogy: Rhesus monkeys show sustained attention following nonsocial cues versus social communicative signals
<p>The natural pedagogy hypothesis proposes that human infants preferentially attend to communicative signals from others, facilitating rapid cultural learning. In this view, sensitivity to such signals are a uniquely human adaptation and as such nonhuman animals should not produce or utilize these communicative signals. We test these evolutionary predictions by examining sensitivity to communicative cues in 206 rhesus monkeys (<i>Macaca mulatta</i>) using an expectancy looking time task modeled on prior work with infants. Monkeys observed a human actor who either made eye contact and vocalized to the monkey (<i>social cue</i>), or waved a fruit in front of her face and produced a tapping sound (<i>nonsocial cue</i>). The actor then either looked at an object (<i>referential look</i>) or looked towards empty space (<i>look away</i>). We found that, unlike human infants in analogous situations, rhesus monkeys looked longer at events following nonsocial cues, regardless of the demonstrator's subsequent looking behavior. Moreover, younger and older monkeys showed similar patterns of responses across development. These results provide support for the natural pedagogy hypothesis, while also highlighting evolutionary changes in human sensitivity to communicative signals.</p>
Sustainability Science Papers: Image accompanying social media post
<p>Image accompanying a social media post on the micro-blogging platform called Twitter at the time.</p> <p>Image description/ Alt text:</p> <p>An image of twelve abstracted scientific papers with with only titles readable. The Title of the whole image is "Sustainability Science Papers". The twelve titles are:<br>- A new framework to organize frameworks about human-nature relations<br>- Eating meat is bad<br>- It's capitalism's fault<br>- The economists did not let me publish my degrowth stuff<br>- Turns out businesses are not as green as they claim to be<br>- Here are many different scenarios for the future. Now go cry.<br>- We went to this island and did some workhshops with fishermen and the government. They just don't get it.<br>- This anthropocene concept is mindblowing<br>- Academia sucks, that's why we wrote a paper about it<br>- A social-ecological-art-dentistry reflection on interdisciplinary challenges<br>- You say activist, I say transdisciplinarity<br>- I have a PhD in sustainability science. I still do not know what it is.</p> <p>The social media post text accompanying the image at the time was:</p> <p>"I had to make one for #sustainability science, because a) the others made me laugh a lot and b) gave me a nice unfiltered insight into some fields 😂. #TypesOfScientificPapers #AcademicTwitter <br>(btw, thx @g_levrier) https://t.co/vkaPKsvVtq"</p>
The cost of noise: Stochastic punishment falls short of sustaining cooperation in social dilemma experiments
<p>Identifying mechanisms able to sustain costly cooperation among self-interested agents is a central problem across social and biological sciences. One possible solution is peer punishment: when agents have an opportunity to sanction defectors, classical behavioral experiments suggest that cooperation can take root. Overlooked from standard experimental designs, however, is the fact that real-world human punishment---the administration of justice---is intrinsically noisy. Here we show that stochastic punishment falls short of sustaining cooperation in the repeated public good game. As punishment noise increases, we find that contributions decrease and punishment efforts intensify, resulting in a 45% drop in gains compared to a noiseless control. Moreover, we observe that uncertainty causes a rise in antisocial punishment, a mutually harmful behavior previously associated with societies with a weak rule of law. Our approach brings to light challenges to cooperation that cannot be explained by economic rationality and strengthens the case for further investigations of the effect of noise---and not just bias---on human behavior.</p>
Corporate Governance, Corporate Social Responsibility and Corporate Sustainability: The Moderating Role of Top Management Commitment
<table align="center"> <tbody> <tr> <td> <p><strong>Design/Methodology/Approach:</strong> We used the non-probability sampling technique by employing convenience sampling for data collection. By employing a survey questionnaire, data were collected from 397 employees of SMEs in Ghana. The IBM Statistical Package for Social Science (SPSS) version 25.0 and IBM's Analysis of Moments of Structures (AMOS) version 24 software packages were employed as analytical tools in this investigation.</p> </td> </tr> </tbody> </table>
Measuring social dimensions of sustainability at the community level: An illustrative but cautionary tale
<p>Many communities are working to enhance the sustainability of their physical, economic, and social systems. While economic and physical systems are routinely measured (e.g., money, energy, greenhouse gas emissions), important psychological and behavioral elements of social systems (norms, attitudes, individual behavior) are seldom tracked. This research evaluated a potentially scalable approach to measuring the impact of local sustainability initiatives on these variables in a community engaged in a holistic effort to promote sustainability. Survey data were collected at two timepoints measuring pro-environmental thought and behavior in two small towns in Ohio: Oberlin, a community engaged in holistic efforts to enhance environmentally sustainable behavior; and Berea, a similar community used as a control. Despite verifiable changes in Oberlin due to sustainability programs and awareness of these programs, our survey results did not provide strong evidence that program efforts resulted in the desired changes in attitudes, norms and behaviors. Pro-environmental attitudes about recycling and installing LED bulbs were two exceptions. Conclusions: Assessing the psychological and behavioral dimensions of sustainability poses particular challenges. In our study, we encountered ceiling effects and inadequate statistical power. Possibly norms and attitudes are not easily influenced even by a holistic community-wide effort.</p>
Indicators of Social Sustainability obtained from Sustainability in Aquaculture Research Network
<p>Indicators of social sustainability obtained for the 8 systems of LTS studied. Monoc. = monoculture; sub-trop. = subtropical; IMTA = integrated multi trophic aquaculture; PHY = person-hour per year; PH = person-hour, “-“ = no data.</p>
Measuring social dimensions of sustainability at the community level: An illustrative but cautionary tale
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Data from: The evolutionary origins of natural pedagogy: Rhesus monkeys show sustained attention following nonsocial cues versus social communicative signals
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The cost of noise: Stochastic punishment falls short of sustaining cooperation in social dilemma experiments
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User Personas Improve Social Sustainability by Encouraging Software Developers to Deprioritize Antisocial Features
<p>This dataset contains the supplementary material for the paper "User Personas Improve Social Sustainability by Encouraging Software Developers to Deprioritize Antisocial Features".</p> <p>The dataset includes:</p> <ul> <li>Pilot study material and analysis document</li> <li>Task Materials(Instruction, prioritization worksheet, personas, stakeholder map)</li> <li>Instructions for Invigilators (experimental protocol)</li> <li>Consent form (de-identified)</li> <li>Data sheet</li> <li>Preliminary data analysis script and visualizations - Python Notebook</li> <li>Cummulative Link Mixed Model analysis script - R</li> <li>Propotional Odds analysis script - R</li> <li>Instructional videos<br><br>***This version includes written experimental protocol for invigilators, instructional videos for participants and Propotional Odds assumption analysis script.</li> </ul>
Supporting Information: Assessing the Social Dimension in Strategic Network Design for a Sustainable Development: The Case of Bioethanol Production in the EU
<p>Supporting Information S2 provides all parameters of the optimization model, both those associated with the social objective and hotspot functions of the study at hand, and those from the underlying model by Wietschel et al. (2021). To put the method of the study into perspective, it also gives an overview of referenced frameworks (GSLCAPO, SHDB, SDGs) and their categories, subcategories, and indicators. Furthermore, it includes detailed results for all social, environmental, and economic objective functions in all scenarios, and of the Pareto optimization. Lastly, the underlying data for all figures of the manuscript and Supporting Information S1 is provided.</p>
Using Multi-Modal Path-Specific Transit Trips in Transportation Social Sustainability Analysis: Case Study in Atlanta, GA
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Social life cycle sustainability assessment of dried tomato products based on material and process selection through multi-criteria decision making
<h3>BACKGROUND</h3> <p>Tomatoes are a significant product of the Mediterranean region and a crucial component of the Mediterranean diet. The formulation of dried tomato products enriched with proteins and bioactive compounds could be a strategic approach to promote adherence to the Mediterranean diet. Six different novel tomato products were analyzed using different protein enrichment sources (pea proteins and leaf proteins) and drying technologies (hot-air dryer, microwave vacuum dryer, and conventional dryer). The novelty of this approach lies in combining product-specific criteria with global societal factors across their life cycles. Using 21 criteria and an analytic hierarchy process (AHP) survey of experts, the social sustainability score for each product was determined through a multi-criteria assessment.</p> <h3>RESULTS</h3> <p>The tomato product's life cycles have minimal regional impacts on unemployment, access to drinking water, sanitation, or excessive working hours. However, they affect discrimination, migrant labor, children's education, and access to hospital beds significantly. The study identified nutritional quality as the top criterion, with the most sustainable design being a tomato bar enriched with pea protein and processed using microwave vacuum drying.</p> <h3>CONCLUSION</h3> <p>The study revealed that integrating sensory and nutrient compounds into social sustainability assessments improves food sustainability and provides a practical roadmap for social life cycle assessments of food products. It emphasized the importance of considering global social issues when reformulating Mediterranean products to ensure long-term adherence to the Mediterranean diet. Incorporating social factors into sustainability scores can also enhance the effectiveness of product information for conscious customers. © 2024 The Author(s). <em>Journal of the Science of Food and Agriculture</em> published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.</p>
Olympic International Federation environmental sustainability progress and social media data
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The Effect of Social Media Influencers on Business Sustainability: Understanding Customer Behavior Change Towards Sustainable Usage Patterns
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Allen Brain Atlas
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.