evaluation of e participation efficiency with biodiversity measures - the case of the digital agenda...
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Evaluation of E-Participation Efficiency with Biodiversity Measures - The Case of the Digital Agenda Vienna
John May, Hannes Leo, Alfred TaudesCEDEM 2015
The context
How we started working on this paper?My role in this endeavour?The content of the presentation?
DAW: Basic Facts
171 ideas372 participants2451 votes296 commentsIs this good or bad? How to compare this process to others?
What is e-participation
Generates a flow of information from participants to sponsorHow to measure effectiveness and efficiency of eparticipation projects?
● Effectiveness: impact on what sponsor thinks, plans, does
● Efficiency: extent of information flow from participants to sponsor
An analogy from ecology
Community and diversity: Distinction between mainland and island populations: ● Mainland population contains the full range of e-
participation topics/issues● Island population (issues) have migrated from mainland● A more efficient project will produce a greater flow of
issues
How to measure the flow?
Measure the # of issues in community = issue richness (species richness)Example: Project 1: 10 issues, 1 mentioned 91 times
Project 2: 10 issues, each mentioned 10 timeIssues richness = 10 in both cases
Flows (frequency distribution) are very different
Ecologist use diversity indices to measure such communities, e.g. Shannon entropy
Shannon entropy, effectic number of species, ENI?● Shannon entropy - 0.50, 2.30 for the above
examples - not very enlightening● Can be easily transformed into a quantity
number called “effective number of species”● John May renamed this “effective number of
issues” = 1.65, 10 = second project was about 6 times as efficient (10/1.65)
Some minor technical details...
ENI: exp(H’), H´= - ∑px ln(px)● H´=Shannon entropy ● px=relative frequency of each issue x● ln(px)=natural logarithm of relative frequency● ENI=raise the number ´e´to the power of the Shannon
entropy
Minimum=1 (single issue referendum) maximum=no upper limitEmpirical sample of 70 projects: 150 rare
It´s so simple I replicated it for ODAP
Open-Data-Aktionsplan.de - an ongoing project done for the German Ministry of the Interior and the D21 Initiative194 participants, 254 ideas, 2574 votes, 233 comments
The score is 189,9 - A new record!
Possible extensions and research
● Can be applied to any participation/consultation/engagement method that generates a frequency distribution
● Apply to closed questions, i.e. agree/disagree, Likert scale, multiple choice…
● Build a knowledge base of e-participation projects
And finally…
Thank you for attention!You may check this out ● www.digitaleagenda.wien● opendataaktionsplan.de● discuto.io● cbased.comor get in touch: [email protected]