Coronavirus en Belgique: confinements et déconfinements

Quand j’ai écrit cet article en avril 2020, je voulais expliquer simplement les phases du déconfinement avec mes sketchnotes, et décrire sur une ligne du temps comment la Belgique en était arrivée à devoir confiner sa population pour contrer la pandémie du COVID-19. Comme tout le monde, j’avais alors l’espoir qu’avec la fin du déconfinement prévu pour septembre 2020, on en aurait fini avec cette période. Le cours des événements a été fort différent et j’ai été contraint de mettre à jour ma ligne du temps.

23/10/2020: Je dois mettre au pluriel le titre de cet article car la Belgique est maintenant touchée par une deuxième vague importante de cas COVID-19. Des mesures à nouveau strictes remettent le pays dans une situation similaire au premier confinement, après une phase de déconfinement et… de relachement.

27/07/2020: Après les phases de déconfinement compliquées à comprendre mais qui ont donné de l’espoir, la Belgique durci ses mesures en raison de l’augmentation inquiétante du nombre de cas de Covid19.

24/04/2020 (article original):

Le 24 avril, le gouvernement belge annonce sa stratégie de sortie de crise coronavirus. Le temps du confinement dû à la pandémie touche à sa fin, ou pour le moins c’est que l’on espère. Le conditionnel reste toujours de mise car comme l’a dit Madame Sophie Wilmes, première ministre, lors de sa conférence de presse: “

Le déconfinement est une opération jamais réalisée dans l’histoire de notre pays et dépend de l’évolution de la situation sanitaire et se base sur des hypothèses et des prévisions. […] Rien n’est gravé dans le marbre et certainement pas les échéances.”  Les faits lui ont malheureusement donné raison.

Le moins que l’on puisse dire c’est que le déroulement de la sortie de crise annoncée en 4 phases apparait compliqué et peu clair. Comme quoi, la communication de crise est une tâche très difficile. Pour mieux m’y retrouver, j’ai visualisé sur une ligne du temps les différentes phases de sortie, avec ce qui s’était passé depuis le début de la crise (et les événéments qui ont suivi). J’ai ajouté quelques sketchnotes persos sur la ligne du temps pour faciliter la compréhension de ce qui est à nouveau autorisé, ou interdit.

Ligne du temps de la crise du coronavirus/COVID-19 en Belgique

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Links between stories, skills and tools to create graphics

On 24 April 2020, I attended an interesting online session by Rafael Höhr on “Applications to create graphics in newsrooms“.

Although the title was explicit, we were going to talk about tools to create graphics, I cannot help thinking that tools are not the most important part in the process of creating graphics. Rafael explained this very well during the session and despite everything we spent (too much) time on tools.

The process of creating graphics should follow this order:

  • First, create a story! A story around the questions you want to answer, around what you want to show, around the 5Ws
  • Link your story to skills. Surround yourself with a multi-skilled team that will help you analyze, edit, interpret, tell, graph, animate your data.
  • At the end only, choose the tool (s) best suited to your needs

My sketchnotes of Rafael’s online session:

Apps to create graphics in newsrooms, sketchnotes

Thanks to my colleagues in the EU Publications Office for organising the online session.

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EU DataViz 2019

What a great experience it was to be graphic recorder at the “EU interinstitutional workshop on data visualisation” organised by Publications Office of the European Union on 13 November 2019 in Luxembourg. With Célia Pessaud, Catherine Focant, and Vincent Henin, we lively scribed the parallel sessions of the conference.

Graphic recording at EUdataviz 2019

It was exciting to visually scribe workshops and talks on data visualisation. We – graphic recorders and data visualisers – speak the same visual language, use the same visual grammar, rely on the same conviction that visuals are one of the most powerful mean to explain complex ideas. As as said to some speakers:

We find that there are many similarities between our practice of graphic recording and yours of data visualisation. If the raw data that you visualise is often – if not always – numbers, and more and more big data, for us, raw data is what is said and what is happening in the conference room. Both can be complex and be meaningless at first glance. Our common goal is then to make sense with what does not seem to have any, to offer this sense/meaning to our clients so that they can make good use of it, so that they can benefit from this knowledge unveiled with more clarity. One difference that I see between our practices is that while during the process of DataViz there is time to test and adapt the final visualisation (and it’s recommended by the speakers here), in the graphic recording process everything is done live on the spot: listening, then filtering, then summarising, then translation to the visual language. Without opportunity to test and adapt. 

To conclude

There are certainly synergies that can be established between our two communities to learn from each other’s. 

Graphic recording at EUdataviz 2019 Graphic recording at EUdataviz 2019 Graphic recording at EUdataviz 2019 Graphic recording at EUdataviz 2019

The day ended with a fascinating session on how #dataviz helps us to better “see” black holes. Big thanks to Barthélémy von Haller and Jeremi Niedziela from CERN and Oliver James from DNEG. They guided us through this wonderful journey from the smallest elements of quantum physics to the black holes and their representation in the Interstellar movie. Magnificent presentation that shows that synergies between science and art can increase our knowledge about the unknown.

Graphic recording at EUdataviz 2019 Graphic recording at EUdataviz 2019


More information about the conference with all graphic recordings of the team is available on op.europa.eu/en/web/eudataviz/home

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Visualisation of the 2017 #EURegionsWeek on Twitter

My original Visualisation of #EURegionsWeek 2017 on Twitter article is now  published on the Regional Studies, Regional Science open access journal.

It gives me a sense of pride that @RSRS_OA asked me to publish my data visualisation in their journal. I’d like to thank them very much for giving me this opportunity.

As so often with me, I started this project as an experiment. Little by little I worked on the data and, after a lot of tests, I finally arrive at this beautiful visualization. I anticipated that there was more to say, then I continued my investigation to conclude the article with the influencers.

I acknowledge that being published on the Regional Studies, Regional Science journal is a nice recognition. Nevertheless, I still prefer my original article where I allow my visitors to interact with the graph and with data. And as a bonus, I also give them some background information about the methodology and the used tools.

 

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