Community-driven development

Community-driven development (CDD) is an initiative in the field of development that provides control of the development process, resources and decision making authority directly to groups in the community. The underlying assumption of CDD projects are that communities are the best judges of how their lives and livelihoods can be improved and, if provided with adequate resources and information, they can organize themselves to provide for their immediate needs. CDD projects work by providing poor communities with direct funding for development with the communities then deciding how to spend the money. Lastly, the community plans and builds the project and takes responsibility for monitoring its progress. CDD programmes are motivated by their trust in people (Naidoo and Finn, 2001) and hence it advocates people changing their own environment as a powerful force for development. By treating poor people as assets and partners in the development process, studies have shown that CDD is responsive to local demands, inclusive, and more cost-effective compared to centrally-led NGO-based programmes. CDD can also be supported by strengthening and financing community groups, facilitating community access to information, and promoting an enabling environment through policy and institutional reform Following from this description, field practitioners at the World Bank have denoted five key characteristics of CDD projects. A CDD operation primarily targets a community-based organization or a representative local council of a community. This community focus means that the essential defining characteristic of a CDD project is that the beneficiaries or grantees of implementations are agents of the community. Since the focus on small communities is so large the CDD normally targets small scale subprojects in the community. In CDD operations, community- or locally based representation is responsible for designing and planning the subprojects in a participatory manner.

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Publications associées (1)

The Scikit HEP Project - overview and prospects

Pratyush Das

Scikit-HEP is a community-driven and community-oriented project with the goal of providing an ecosystem for particle physics data analysis in Python. Scikit-HEP is a toolset of approximately twenty packages and a few "a ffiliated" packages. It expands the typical Python data analysis tools for particle physicists. Each package focuses on a particular topic, and interacts with other packages in the toolset, where appropriate. Most of the packages are easy to install in many environments; much work has been done this year to provide binary "wheels" on PyPI and conda-forge packages. The Scikit-HEP project has been gaining interest and momentum, by building a user and developer community engaging collaboration across experiments. Some of the packages are being used by other communities, including the astroparticle physics community. An overview of the overall project and toolset will be presented, as well as a vision for development and sustainability.

E D P SCIENCES2020