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Intitulé du cours:  Analytical thinking in humanitarian emergencies


Enseignant(s): Patrice Chataigner, Head of Research and Analysis, ACAPS, Okular-Analytics


Type d’enseignement: Cathedra et simulation


Semestre: Premier semestre 


Nombre d’heures de cours: 18 heures


Langue principale: français/anglais





Pas de prérequis


Description du cours:


In complex, often large-scale humanitarian emergencies, decision-makers are challenged in using available information to make the best possible informed decisions. In many situations there is simply more information, misinformation, and noise, than anyone can handle. Information available is often of varying quality, coverage, timeliness, and accuracy, challenging even further our ability to make sense of the data at hand.


Analysis is not a well-established discipline in the humanitarian sector. Existing “analysis” trainings tend to be aimed at technical, computer-based skills in statistics, focusing mainly on database analysis. Additionally, many people assume that, if they know how to use data analysis software, this means that they are skilled data analysts. Knowledge of data analysis tools and being skilled in analysing data, however, are not the same. Conducting analysis involves far more than collating information and manipulating software – that’s reporting. Analysis is a human process that requires the application of cognitive functions, the use of targeted analytical approaches, and an inquisitive mind-set.


Objectifs du cours:

The course aims to introduce participants to processes, skills and knowledge required to make sense of available information in humanitarian emergencies. It will also give them an opportunity to practice structured analytical processes and techniques.


By the end of the course, participants should be able to:

  1. Support ongoing needs analysis processes within and across humanitarian organisations/agencies and sector/clusters, and during specific humanitarian needs assessments.

  2. Select amongst a range of analytical resources and techniques to produce quality and credible analysis, and apply these in humanitarian needs analysis processes.

  3. Reflect on their own individual skills and competencies, and know how they can best contribute to an analysis process.


Méthode pédagogique: 


The course instructional methodology includes:

  • Lectures

  • Group work and discussion-based exercises

  • Guided practice/simulations


The training is participative in nature and requires engagement of participants in exercises and working groups. Participants will be exposed to various amounts, types and formats of data, ranging from too much to insufficient information. The full course will revolve around a running scenario where participants receive theoretical introductions to a given topic in plenary, but work in groups to practice skillsets using the scenario as a backdrop.




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