KORE - Knowledge sharing platform on Emergencies and Resilience

Good practices and resilience

Knowledge sharing and capitalization of good practices have a key role to play in building the resilience of agriculture-based livelihoods. Considerable experience is being gained across sectors and ad-hoc solutions addressing shocks and crises are being found in many different contexts. A fair amount of these experiences are already being documented. However, the resilience-related knowledge gained needs to be systematically analysed, documented and shared so that development organizations and actors understand what works well and why and thus replicate and upscale identified good and promising practices in order to inform policies adequately.

Latest Good Practices

14 July 2017
Chestnut (Castanea species) are trees providing crucial resources for livelihoods in many parts of the world, with a wide range of economic, social and environmental benefits. The Asian chestnut gall wasp (ACGW) Dryocosmus kuriphilus Yasumatsu (Hymenoptera: Cynipidae) is considered to [...]
Preliminary findings
14 July 2017
The Food and Agriculture Organization of the United Nations (FAO) is conducting a comprehensive study across regions to assess the benefit from applying disaster risk reduction (DRR) good practices in agriculture. The study identify practices that help to reduce the [...]
As a tool to reinforce resilience
24 June 2017
The CASH+ approach is a flexible methodology of intervention geared towards restoring resilient livelihoods. This social protection approach combines two complementary modes of intervention, namely cash transfers and productive assistance, in order to create synergies thus increasing their respective impacts.
22 May 2017
The Desert Locust, Schistocerca gregaria, is the world’s most dangerous migratory pest with a voracious appetite unmatched in the insect world. Within the Desert Locust’s distribution area, which is equivalent to 20 percent of the Earth’s land surface and stretches [...]
20 April 2017
Antimicrobial Resistance (AMR) occurs when micro-organisms – bacteria, fungi, viruses, and parasites – evolve resistance to antimicrobial substances, like antibiotics, antifungals and others. This occurs naturally through adaptation to the environment or through selective pressure when microorganisms come into contact with [...]

“Good”, “best” and “promising” practices

When identifying and documenting an experience, it is important to understand the different states of a practice, regarding the level of evidence and its replicability potential. And to recognize that not all experiences can be qualified as good practices.

A good practice can be defined as follows:

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A good practice is not only a practice that is good, but one that has been proven to work well and produce good results. It has been tested and validated through its various replications and is therefore recommended as a model and deserves to be shared, so that a greater number of people can adopt it.

"Best" vs "good" practices:

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The term “best practice” is often used; however, some will prefer to use “good practice” as “best practice” may imply that no further improvements are possible to the practice. It is indeed debatable whether there is a single ‘best’ approach knowing that approaches are constantly evolving and being updated.

For a practice to be considered as a “good practice”, it needs to be supported by a series of evidence obtained through data gathering and several replications. In some cases, a practice has the potential to become a “good practice” but cannot be yet qualified as one because of a lack of evidence and/or replications. In this case, it can be considered a “promising practice”.

 

A promising practice can be defined as follows:

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A promising practice has demonstrated a high degree of success in its single setting, and the possibility of replication in the same setting is guaranteed. It has generated some quantitative data showing positive outcomes over a period of time. A promising practice has the potential to become a good practice, but it doesn’t have enough research or has yet to be replicated to support wider adoption or upscaling. As such, a promising practice incorporates a process of continuous learning and improvement.