There is growing demand by policy- and action-oriented users for operational and integrative assessments of complex, multidimensional phenomena such as vulnerability and resilience. In recent years, quantitative and qualitative assessment methods as part of targeted efforts towards disaster risk reduction and climate change adaptation have been pushed towards operational levels. While the scientific progress regarding the development of theoretical frameworks and associated definitions has been remarkable, further attention needs to be given to coherent assessment methods. Therefore, we need a critical scientific discussion on assessment methodologies that evaluates and benchmarks approaches and intervention options. Another key issue is the relevance of spatial and temporal monitoring in the context of social-ecological systems and complex and multi-dimensional phenomena and how it can effectively support decision making. Against this background, the Department of Geoinformatics - Z_GIS at the University of Salzburg, Austria and Eurac Research initiated in 2014 a series of INQUIMUS workshops (lat. “we say”) - Integrating quantitative and qualitative assessment methodologies for multidimensional phenomena.
“How can scientific assessments inform decisions for problem solving in practice?” is the topic of the INQUIMUS workshop 2017, which will take place in Bolzano, September 19-21. The workshop will elaborate on the extent to which combined quantitative and qualitative assessment approaches have been successful in their support for decision making and whether they have contributed in practice to solving problems. Against this background, methods applied for (normative or subjective) assessments and ways how to validate the usefulness of scientific outputs will be scrutinised. These topics will be discussed with stakeholders and users acting at various levels (local, national and international / European) and in different contexts. During the workshop, the following questions will lead our discussions: Under which circumstances do mixed methods results influence actions, decisions and policies? Which issues are key for bringing these results into practice? Where are the obstacles to doing so and how can we foster the wider application of these methods and the uptake of their results by users? How and by whom is success (or failure) monitored and assessed?
Participation is free of charge.
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