Mesydel is a computer tool aiming at faithfully implementing a large subset of the features of a Delphi survey: collection of data, multiple rounds of questionnaires, address book management, treatment and analysis of qualitative and quantitative questions, and dedicated analysis tools.

The Delphi method, one of the most renowned "expert" methods, is a prospective (also called foresight) method, which allows to survey a panel of experts – a recent trend tends to extend the meaning of experts to "experts of use", i.e. any layman/laywoman which, by his/her very position, has acquired some kind of knowledge on a particular topic – in an iterative way: a typical Delphi survey consists of two rounds at least, with, between each round, a synthesis that is used as a base for the following questionnaire, allowing a "controlled feedback".

Based on Delphi : Prospective & Participatory Method


Mesydel is a computer tool aiming at faithfully implementing a large subset of the features of a Delphi survey: collection of data, multiple rounds of questionnaires, address book management, treatment and analysis of qualitative and quantitative questions, and dedicated analysis tools.

The Delphi method, one of the most renowned "expert" methods, is a prospective (also called foresight) method, which allows to survey a panel of experts – a recent trend tends to extend the meaning of experts to "experts of use", i.e. any layman/ laywoman which, by his/her very position, has acquired some kind of knowledge on a particular topic – in an iterative way: a typical Delphi survey consists of two rounds at least, with, between each round, a synthesis that is used as a base for the following questionnaire, allowing a "controlled feedback".

One important feature of the method is that it is based on the intuitions and insights of a panel of experts. These experts do not have access to the answers of their peers, which avoids the self-moderation bias: in a situation where such confidentiality were not established, experts could chose to adopt more consensual answers and to express less clear, softer opinions. The Delphi method proved to be efficient in creating "futuribles", i.e. scenarios that are deemed possible, but not certain.

Schematic Description of Delphi Method

Build By Academics With Passion


Analysis
The goals of computerization of the Delphi method are numerous: on the side of the collection of answers, it will mainly help reducing the attrition rate, withdrawals from one round to the next and spatial and temporal constraints. On the side of the analysis of collected answers, Mesydel proposes a system of "tagging" qualitative answers — based on the precepts of the "grounded theory". Quantitative answers, in turn, can be analyzed through charts.
However, in the philosophy of never letting the software take decisions in the place of the researcher, s/he is free to use or not the analytical tools that the software makes available.

Team


Martin Erpicum
Founder & Project Leader
Catherine Fallon
Academic Promotor — SPIRAL (Director)
Aurore François
Academic Sponsor — UCL
Hugues Dorchy
Industrial Sponsor — Elegio (CEO)
Stephan Pire
Industrial Sponsor — foto.com (CSMO)

Our references


  • Logo of SPIRAL
  • Logo of IWEPS
  • Logo of KCE, centre fédéral belge d’expertise des soins de santé
  • Logo of FNRS
  • Logo of Politique scientifique fédérale belge (Belspo)
  • Logo of Collège Régional de Prospective
  • Logo of SCK-CEN
  • Logo of Centre fédéral de crise – IBZ (SPF intérieur)
  • Logo of Université de Liège (ULg)
  • Logo of Région Wallonne