Several infrastructure projects are under development or already operational across the Arctic region. Often the deployment of such projects creates benefits at the national, regional, or global scales. However, local communities can experience negative impacts due to the requirements for extensive land areas, which cause pressure on traditional land use. Public participation in environmental planning such as Environmental Impact Assessment (EIA) enables local communities to provide feedback on the environmental, social, and economic challenges of infrastructure projects. Ideally, participation can improve the means of social learning for all involved parties and help to co-develop sustainable solutions. The subject of our research is reindeer herders' participation in EIA procedures of mines and wind farms in Finland because these types of projects affect reindeer husbandry. We study empirically how stakeholders involved in the EIAs perceive the participation of reindeer herders in the planning and implementation of infrastructure projects, and how these differ from the perceptions of the reindeer herders who are affected by the infrastructure projects. Our qualitative data is based on in-depth semi-structured interviews (N = 31) with members of the industry sector, consultants, governmental authorities, and representatives of local communities; in this study, the reindeer herders. The results show that herders' level of participation in the EIAs and the benefits and challenges of participation are perceived differently. Furthermore, the regulatory framework does not adequately ensure that the developer carries social and environmental responsibilities throughout the infrastructure project's lifetime, and that regular communication with herders will also be maintained after the EIAs. Herders' expertise should be used throughout the project lifetime. For example, more attention should be paid to both negotiating possible options for compensation and monitoring mechanisms when the infrastructure projects are pre-screened for the EIAs, as well as to co-designing the different project alternatives with herders for the EIAs.
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http://dx.doi.org/10.1016/j.jenvman.2018.06.049 | DOI Listing |
J Med Syst
January 2025
Computer Science Institute, DISIT, University of Eastern Piedmont, Alessandria, Italy.
In traditional medical education, learners are mostly trained to diagnose and treat patients through supervised practice. Artificial Intelligence and simulation techniques can complement such an educational practice. In this paper, we present GLARE-Edu, an innovative system in which AI knowledge-based methodologies and simulation are exploited to train learners "how to act" on patients based on the evidence-based best practices provided by clinical practice guidelines.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
Framingham Heart Study, Boston University Chobanian & Avedisian School of Medicine, Boston, MA, USA.
Background: Recent technological advancements have revolutionized our approach to healthcare, enabling us to harness the potential of smartphones and wearables to collect data that can be used to characterize Alzheimer's disease (AD) heterogeneity and to develop digital biomarkers. Our focus is to create comprehensive cross-domain digital datasets and establish an infrastructure that allows for seamless data sharing. Central to accelerating the potential of digital biomarkers for more accurate and early detection is privacy-protecting data access, which when combined with deep molecular phenotyping, will enhance our understanding of the biological mechanisms underlying clinical expression.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
John P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA.
Background: The burden of Alzheimer's disease and related dementias is growing fast in Africa. The Recruitment and Retention for Alzheimer's Disease Diversity Genetic Cohorts in the Alzheimer's Disease Sequencing Project (READD-ADSP) has commenced recruitment of 5000 African participants (AD and cognitively unimpaired individuals) to generate genomic and biomarker data to better characterize AD genetic architecture in Africa. Participating countries, part of the African Dementia Consortium (AfDC) include Nigeria, Ghana, Benin, Cameroon, Uganda, Kenya, Ethiopia, Tanzania, and Mozambique.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
CRONICAS, Universidad Peruana Cayetano Heredia, Perú, Lima, Peru.
Background: Peru does not have official prevalence data of dementia, however, particular studies indicate that in urban areas 6.85% of the population over 65 years of age has it. Countries such as Peru have significant drivers of the condition such as low socio-economic (monetary poverty 27.
View Article and Find Full Text PDFAlzheimers Dement
December 2024
SAIHST, Sungkyunkwan University, Seoul, Korea, Republic of (South).
Background: Brain diseases complexity have necessitated advanced research platforms for better understanding, treatment, and prevention strategies. However, existing brain disease registries face limitations such as incomplete variable sets, lack of standardization, insufficient linkage to external databases, absence of integrated platforms for comprehensive data collection, and lack of continuity. To address these challenges, the Korea National Institute of Health initiated the Brain disease Research Infrastructure for Data Gathering and Exploration (BRIDGE), a national prospective platform designed to overcome the shortcomings of current registries.
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