CAMRIS Knowledge Maps example

The following knowledge map represents the knowledge of Peruvian/US organizations on alternative development programs:

Clusters of knowledge can be identified as follows:

• High (findings frequency between 15 and 40) – Coded green in the Knowledge Map
• Medium (between 6 and 14) – Coded orange in the Knowledge Map
• Low (between 0 and 5) – Coded blue in the Knowledge Map
• The knowledge map gives us information about what the state of an organization`s knowledge is, such as:

We know that we know a great deal about (ordered by most knowledge to least knowledge):

• Illicit economic market (CFT19)
• Individual and community farming behavior (CFT13)
• Local economy (infrastructure, income generation) (CFT11)
• Licit economic market (CFT9)
• Local social services (access, use) (CFT7)
• We know some things about (ordered by most knowledge to least knowledge):

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• Cross regional Peruvian analysis (CFT20)
• Individual knowledge of negative effects of growing coca (ownership, awareness) (CFT14)
• Peruvian institutional capacity (CFT16)
• Environment (sustainable natural resource base) (CFT12)
• Migration (CFT1)
• US interventions (eradication, interdiction, alternative development) (CFT18)
• Social networks (CFT4)
• Local security (CFT17)
• Predictive and aggregate model (CFT21)
• We know little about (ordered by most knowledge to least knowledge):

• Community participation in development (CFT8)
• Local financial services (access, use) (CFT10)
• Ethnicity (CFT2)
• Technical assistance and support (CFT5)
• Legal and regulatory Peruvian counternarcotic framework (CFT15)
• US Budget for interventions (CFT22)
• Land titling (CFT3)

We know nothing about:

• Local political support (CFT6)
• Evidence based decisions (CFT23)

In short, with the classification above, we are able to "know what we know", and in consequence "know what we need to know" more about.

For more information on Knowledge Maps produced by CAMRIS please click here.