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Application deadline: January 31, 2024
The adoption of Data Science in environmental and earth sciences, physical geography, humanities, and social sciences, has begun to emerge as self-contained discipline only recently, demonstrating exceptional efficiency in addressing the complexity of the investigated phenomena. This trend encourages contemporary scientists to collaborate with disciplines that may initially appear distant from their own expertise. Such an interdisciplinary openness is of growing significance as society struggles to respond to the implication of anthropogenic pressures on different issues, including natural hazards and climate change, or the harmful impacts of human activities on biodiversity, water and air quality, and human health. Therefore, there is a real need for the development of novel techniques that facilitate the extraction of insights from data and the subsequent transformation of this information into actionable knowledge.
In environmental and earth sciences, physical geography, humanities and social sciences, the use of Data Science procedures is proving to be extremely efficient to deal with the complexity of the investigated phenomena and the heterogeneity of the underlying data sources.
Suitable for: advanced Master, early PhD students and junior researchers in Earth/Environmental Sciences, Biology and Spatial ecology, Physical geography, and equivalent disciplines. Students in Architecture, Humanities, Planning and Arts related disciplines can also apply. The participants should have a good knowledge of mathematics and statistics; skills in geographical information systems and notions in R programming language are also required.
For further information visit our website or send an email to summerschools@univiu.org
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