The Call for applications for the annual CAWa Summer School

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Апр 25 2019

The Call for applications for the annual CAWa Summer School "Methods and Tools for the Assessment and Monitoring of Central Asian Water and Land Resources" has been opened. Please submit your documents by 26 May 2019. The Summer School is the fifth in a row and will be held from 8 to 19 July 2018 at the German-Kazakh University in Almaty.

The Summer School will introduce innovative methods and tools for the analysis and monitoring of water and land resources in Central Asia. These methods are of great value in a framework of integrated water and land resources management.

The 2-week Summer School will combine theoretical lectures and practical exercises with discussion sessions on the implementation of new methods and tools in managing water and land resources in Central Asia. The programme will include an in-depth introduction to geographical information systems (GIS), an overview on remote sensing applications for land and water resources monitoring, an introduction to climatological data analysis and an introduction to glaciology. For the practical exercises in data analysis, the participants will use open source tools such as QGIS for spatial analysis, and R for statistical analysis.

The Summer School addresses dedicated master and PhD students as well as junior university teachers and researchers with interest in geoscientific tools for Integrated Water and Land Resources Management and its practical implementation. Eligible are participants from the following Central Asian countries: Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, Uzbekistan, and Afghanistan. Participants will be selected based on their application documents (motivation letter, CV).

The CAWa project provides funding for travel and accommodation expenses for the accepted Central Asian participants. VISA support for selected participants from Afghanistan and Turkmenistan will be provided by German-Kazakh University

Application form: https://forms.gle/LhoLP3jfkXprkGHV6

Source: https://www.cawa-project.net/