Difference between revisions of "Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic"

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(Forsys_add_wg_subthemes.py)
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{{Lesson
 
{{Lesson
|Has flag=red
+
|ID=6
 
|Has statement=Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic feasibility and social acceptability) could have been included in the DSS model
 
|Has statement=Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic feasibility and social acceptability) could have been included in the DSS model
|Has reference=Not really a lesson (just something that could have been done)
+
|Has temporal scale=Long term (strategic)
 +
|Has spatial context=Spatial with neighbourhood interrelations
 +
|Has spatial scale=Forest level, Regional/national level
 +
|Has objectives dimension=Multiple objectives
 +
|Has goods and services dimension=Market services, Non-market services
 +
|Has decision making dimension=More than one decision maker/stakeholder
 +
|Has country=Germany
 +
|Has related DSS=PYL
 
|Has related case=United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest
 
|Has related case=United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest
 +
|Has working group theme=Dss development process, Models & techniques
 
|Has DSS development=Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Description of DSS development
 
|Has DSS development=Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Description of DSS development
 
|Has decision support techniques=Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Decision support techniques
 
|Has decision support techniques=Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Decision support techniques
 
|Has knowledge management processes=Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Knowledge management process
 
|Has knowledge management processes=Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Knowledge management process
 
|Has support for social participation=Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Support of social participation
 
|Has support for social participation=Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Support of social participation
 +
|Has evidence=Based on the account that we have developed, we are now able to explain how DSS are institutionalized in the forestry domain and why things have happened.
 +
|Has consequences=Other existing approaches do not look behind the actors and why they do the things they do, contrary to Actor Network Theory they do not "trace" and thus they miss important connections.
 +
|Has recommendation for action=Consider both human and technology actors at the same level and follow their associations. Describe traces left by group formation.
 +
|Has domain=
 +
|Has reference=Not really a lesson (just something that could have been done)
 +
|Has related lesson=Using Actor Network Theory in the design stage can help in understanding the dynamism of the network
 +
|Has other relevant information=See case
 +
|Has actor perspective=Developer/Architect, Researcher
 +
|Has DSS development stage=Update
 +
|Has flag=red
 
}}
 
}}

Revision as of 00:27, 6 September 2013

Lesson

ID 6
Has statement Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic feasibility and social acceptability) could have been included in the DSS model
Has evidence Based on the account that we have developed, we are now able to explain how DSS are institutionalized in the forestry domain and why things have happened.
Has consequences Other existing approaches do not look behind the actors and why they do the things they do, contrary to Actor Network Theory they do not "trace" and thus they miss important connections.
Has recommendation for action Consider both human and technology actors at the same level and follow their associations. Describe traces left by group formation.
Has domain
Has DSS development stage Update
Has decision stage
Has temporal scale Long term (strategic)
Has spatial context Spatial with neighbourhood interrelations
Has spatial scale Forest level, Regional/national level
Has objectives dimension Multiple objectives
Has goods and services dimension Market services, Non-market services
Has decision making dimension More than one decision maker/stakeholder
Has country Germany
Has reference Not really a lesson (just something that could have been done)
Has related DSS PYL
Has related case United States-The restoration strategy of the dry and mesic landscape in the Okanogan Wenatchee National Forest
Has related lesson Using Actor Network Theory in the design stage can help in understanding the dynamism of the network
Has other relevant information See case
Has working group theme Dss development process, Models & techniques
Has DSS development Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Description of DSS development
Has decision support techniques Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Decision support techniques
Has knowledge management processes Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Knowledge management process
Has support for social participation Decision criteria beyond the state of the ecosystem (for example, social values fire risk, economic.Support of social participation
Has actor perspective Developer/Architect, Researcher
Has researcher role
Has user role
Has developer role