Short-Term Certificate Course on Geo-Social Approaches for Vulnerability Assessment
Duration: 2 Weeks
Medium of Instruction: English
- Early Bird Registration with 20,000/- bursary -10th October 2022
- Last Date of Application 25th October 2022
- Course Dates: 7th to 20th November 2022
- Social Science Approaches to Vulnerability and Its Measurement
- Measuring Vulnerability Using Geospatial Approaches
The course is designed for understanding vulnerability assessment through analysing spatial and nonspatial data. The two modules available in the course will help the participants to contextualise the vulnerability assessments in relation to complex structural inequalities embedded in urban realities through case studies. The participants will develop an understanding of the role of vulnerability in risk manifestation, along with the scope of current vulnerability assessments, and the need for the development of holistic & contextual frameworks for assessment. They will develop skills in interpretations of disaster risk mapping and integration of indicators for vulnerability mapping based on data and reports.
The course focuses on measuring vulnerability and its indices using geospatial approaches and integrates data and theory-driven approaches for its assessment. The program through exercises and online classroom learning will develop the capacity of the participants to comprehend the complexity of vulnerability and approaches to evaluating it. Methods and techniques for mapping variables of disaster vulnerability, data collection, and approaches for aggregation using geospatial technologies are covered in the course. It emphasizes concepts of remote sensing, GIS, image interpretation and image processing, exploring open source global vulnerability datasets and data collection methods, identification and mapping of variables using open source software tools, and approaches for aggregation using geospatial technologies are sections covered in the course. Application of Geospatial techniques to prepare risk maps by integrating geospatial and socio-economic datasets for disaster risk management is the learning from the course.
Queries regarding applications can be sent to the following email IDs: firstname.lastname@example.org