At the end of the icebreaker is a short quiz, with a prize for the first 3 correct sets of answers – Good Luck!!

Thank you for taking part in the Icebreaker for the 4th Climateurope 2020 Webstival. The main themes behind the BellHouse interaction with Climateurope 2020 have been:

How is your data heard?

In what ways does hearing data that is normally visual change your perception and understanding of it?

Can we reflect on how we communicate our data as a result of this process?

A bit of information to contextualise things….

As we have played climate data through BellHouse and understood more about how BellHouse works, it seems that so far, there are 3 types of visual data that BellHouse plays in different ways:

  1. Linear or graph based data – eg Predicitia or Tipping Points.

A specific progression across or around a graph which will activate a specific pattern of bells on BellHouse.  This kind of data is often the most easily recognised in terms of patterns of sound.

  • Cartographic data – eg TEAL / Sogrape.  Data presented as changing colour values over time on a map.

This type of data can either set up rhythms of sounds in the bells within a dataset or it requires multiple playbacks of the data to hear patterns. It depends on the timescale and the nature of the data.

  • Meteorological data – eg EUCP. Data which represents meteorological conditions, either modelled or recorded over a specific time period and location.

Because this type of data is visually often more complex, it is reflected in what you hear. It can be harder to pick out patterns or specific areas of focus, rather there is a more harmonic (if you can say that of BellHouse) ebb and flow of sounds as the dataset progresses. This is also true of some types of Cartographic data eg. Sogrape.


In this short film below, there are three 20 second clips of data submitted by delegates for BellHouse to play, followed by clips of BellHouse playing that data, but not in the same order.

Can you identify the BellHouse track which corresponds to the data? Answers ( eg Teal – A, Boulton – B, etc) in the comments section below please.

Remember there is a prize for the first three correct sets of answers. Don’t worry if you can’t fathom this, the most important thing is engaging in the process of listening to the data!


If you have time, have a look at the page on the website for the Climateurope 2020 Webstival. You can explore the documentation of playtesting processes via the timeline which is interactive and will take you to the posts about each playtesting process.

Note: not all of these are complete yet and will be updated with further information and experiments in due course.

Lastly, to go back to the questions at the beginning:

  • How is your data heard?
  • How is it understood?
  • Who is it for?
  • How is your data communicated and possibly miscommunicated?

Your thoughts and questions are really important to us. We would be really grateful if you would add any thoughts or questions to the comments below for us to follow up with in the panel discussion later this morning.

Thank you and we hope you enjoyed this little “Aperitif!”  

22 thoughts on “ Climateurope 2020 Icebreaker ”

  1. Quizz answer attempts:
    1st data WMC – 2nd Bellhouse extract
    2nd data EUCP High resolution – 1st Bellhouse –
    3rd data presented (Tipping points) – 3rd Bellhouse extract

  2. So,
    We have 3 winners!!!
    Winners will be notified in the Panel discussion, “Capturing the Notes through the Noise” at 11.45 CET.
    Tune in to find out!

  3. Thank you all for taking part.
    The answers were:
    A – Tipping Points, Chris Boulton
    B – TEAL – WEMC
    C – EUCP

    The Winners were:

    Rosie Oakes
    Dragana Bojovič

    We will be in touch soon to arrange delivery!
    Thanks for a great morning.

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