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Last edited by Mahdi Sellami
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Facilibot - fachliches Wiki

Herzlich Willkommen beim Wiki-System für den Innovationsprozessbaukasten!

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Projekthomepage: Civitas Digitalis

Prototyps: http://civitasdigitalis.fortiss.org/

0. Concept

Classic citizen participation has four steps

  1. Initiierung & Planung
  2. Teilhabe
  3. Analyse & Evaluation
  4. Umsetzung

This project focuses on step 2 and 3.

Beteiligungsprozess-Probleme

Teilhabe

In the second step (Teilhabe) two formats are common. Participation can be done either by submitting an idea with a simple online form or by taking part in an offline workshop. While the form doesn't require a lot of resources from the participation management, its ideas often lack quality. The facilitation provided by a workshop on the other hand results in mostly high quality ideas, however, being resource intensive.

The concept of the Facilibot is to bring together the online automation with the facilitation by using a chatbot with AI features.

Automatisierung-plus-Facilitation

1. Szenarios

Facilibot Basisszenario

Basisszenario "Ideeneinreichung via Chatbot in einem Beteiligungsverfahren"

facilibot-icon

Facilibot FHH

Einsatzszenario "Ideeneinreichung via Chatbot in einem Beteiligungsverfahren der Stadt Hamburg"

facilibot-icon

Experiment UHH

Einsatzszenario "Vergleich von unterschiedlichen Interfaces bei der Ideeneinreichung in einem experimentalen Setting"

szenario-experiment

Jubiläum UHH

Szenario-Beschreibung

bild-szenario-jubilaeum

Analyse & Evaluation

The third step (Analyse & Evaluation) also suffers from being resource intensive. Also in this case AI might help.

tbd: Fachliche Anforderungen

  • Idea Categorization:

    • Assigning Ideas to categories(like sports, transport etc.) is helpful for sorting, filtering and analysing the ideas.
    • Citizens tend to misclassify ideas to categories.
    • Requirement: automatically assign ideas to categories/ suggest accurate categories to the citizen depending on his idea's description.

  • Keywords:

    • Assigning keywords to an idea helps the analyser to quickly grasp its main topics, without necessarily reading the description.
    • Keywords are potential helpers for clustering similar ideas based on their topics.
    • Citizens may choose irrelevant keywords.
    • Requirement: automatically suggest keywords based on the idea's information(description, category...)

  • Summarization:

    • A lot of the ideas within one category describe the same or a similar problem and reading them all is a waste of time for the analyser.
    • Requirement: A system that automatically generates a summarization, which contains the main topics/problems/solutions discussed in one category.