Lecture

Participatory Capacity, Vulnerability, and Risk Analyses

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Description

This lecture explores Participatory Capacity and Vulnerability Analysis (PCVA) as a method to engage local stakeholders in disaster risk and vulnerability diagnosis. It covers the steps of PCVA, tools for data collection and analysis, strengths and weaknesses, and governance analysis. The lecture emphasizes the importance of indigenous knowledge, community involvement, and multi-level approaches in disaster risk reduction.

In MOOC

A Resilient Future: Science and Technology for Disaster Risk Reduction

This course aims to introduce participants to existing and emerging technologies suitable for disaster risk reduction while promoting the overall aim of sustainable development. The course focuses on three main natural hazards- floods, landslides and earthquakes. It also discusses the challenges and limits of adapting and adopting technologies depending on context (Global North and Global South) with examples from Switzerland, Nepal, Colombia, Philippines and other countries.

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Related concepts (24)

Data collection

Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, and business. While methods vary by discipline, the emphasis on ensuring accurate and honest collection remains the same.

Disaster risk reduction

Disaster risk reduction (DRR) sometimes called disaster risk management (DRM) is a systematic approach to identifying, assessing and reducing the risks of disaster. It aims to reduce socio-economic vulnerabilities to disaster as well as dealing with the environmental and other hazards that trigger them.

Data processing

Data processing is the collection and manipulation of digital data to produce meaningful information. Data processing is a form of information processing, which is the modification (processing) of information in any manner detectable by an observer. The term "Data Processing", or "DP" has also been used to refer to a department within an organization responsible for the operation of data processing programs. Data processing may involve various processes, including: Validation – Ensuring that supplied data is correct and relevant.

Data

In common usage and statistics, data (USˈdætə; UKˈdeɪtə) is a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures.

Traditional knowledge

Traditional knowledge (TK), indigenous knowledge (IK) and local knowledge generally refer to knowledge systems embedded in the cultural traditions of regional, indigenous, or local communities. According to the World Intellectual Property Organization (WIPO) and the United Nations (UN), traditional knowledge and traditional cultural expressions (TCE) are both types of indigenous knowledge. Traditional knowledge includes types of knowledge about traditional technologies of subsistence (e.g.

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