Difference between revisions of "Delib.org"
From Deliberative Democracy Institiute Wiki
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==How Delib works== | ==How Delib works== | ||
| − | ===From Many | + | ===From Many options to few option=== |
| − | One of the main challenges of deliberation is how we take all the information and suggestions of many members and produce single | + | [[File:Delib-1-many-options.gif|100px|thumb|right]] |
| + | One of the main challenges of deliberation is how we take all the information and suggestions of many members and produce a single, which optimally integrate member’s knowledge. | ||
| − | To do that, Delib has a module that let participants suggest as many [[option|options]] as they would like, and then let them | + | we assume that most of the crowd would not have the time or the knowledge to screen form the whole stack of options, the most appropriate. Therefore, we go in two steps. First we use the module many-to-few, and then we focus on the few options that were screened-out, to a more popular vote. |
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| + | To do that, Delib has a module that let participants suggest as many [[option|options]] as they would like, and then let them rate the most suitable option. The most suitable options then are moved to the start of the page. | ||
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| + | ==Technology to learn from== | ||
| + | *[https://placeavote.com Place a vote] - it has good summery for each bill. | ||
[[category: CMC]] | [[category: CMC]] | ||
Latest revision as of 00:03, 19 August 2016
Delib.org is a progressive app design to facilitate off-line and on-line deliberation. It is based on implementations of theories which are described in this wiki. It's aims is to be a tool to promote deliberation through the joint effort of researchers, facilitators and developers in the field of deliberation, through the use of the wisdom of the deliberative community.
Site: delib.org
How Delib works
From Many options to few option
One of the main challenges of deliberation is how we take all the information and suggestions of many members and produce a single, which optimally integrate member’s knowledge.
we assume that most of the crowd would not have the time or the knowledge to screen form the whole stack of options, the most appropriate. Therefore, we go in two steps. First we use the module many-to-few, and then we focus on the few options that were screened-out, to a more popular vote.
To do that, Delib has a module that let participants suggest as many options as they would like, and then let them rate the most suitable option. The most suitable options then are moved to the start of the page.
Technology to learn from
- Place a vote - it has good summery for each bill.