Area-based approach as outreach mean of public service delivery in moutain development of Thailand
The science-policy interface in the Alpine Convention’s framework convention, protocols, and recent processes
The role and use of scientific research and collaboration in the Alpine Convention’s foundations and activities will be reviewed and presented.
Natural Hazards, Climate Change, and Criminal Liability: Challenges and Legal Frameworks
Climate change transforms natural hazard risks, raising legal questions about responsibility, liability, and the role of emerging technologies.
100 priority questions to feed the global mountain biodiversity research agenda
By applying a collaborative research prioritization method, we developed a list of 100 priority questions in comparative global mountain biodiversity research.
World Mountain Cities and their characteristics?
The Urban Centre Data Base contains over 11,000 cities of over 50,000 inhabitants each can be used in locating and quantitatively characterizing cities in mountainous regions at global scale.
Mountains Behind Bar : Quest of Disrupting Interrelationship of Geographies
The Himalaya is precious due to its physiography yet political geography made it most vulnerable where global governance can’t skip without making a choice– Sovereign boundary or Mountain
Community-based risk mitigation planning in Alpine areas – experiences from the X-Risk-CC-project
Highlighting the integration of scientific and local knowledge to develop tailored climate risk mitigation strategies in the Alpine region through participatory approaches and stakeholder engagement
How can mountain resorts’ transition pathways inform policy-making? The results from participatory research in Kranjska Gora, Slovenia
Kranjska Gora faces considerable climate change-related challenges in ski tourism. Stakeholders seek practical and actionable solutions. Participation is effective in proposing policy changes.
Towards better governance of quality of life on the local level
The governance framework for quality of life on the local level is presented and evaluated. The results are based on the interviews with the local communities in five Alpine countries.
From Lowlands to Alpine Heights: Citizen Science and Machine Learning for Data-Driven Litter Assessment and Conservation
Using citizen science and deep learning, we analysed alpine litter distribution, identifying key pollution sources and offering insights to guide conservation and policy efforts.