Rocío Fatás


Week 7: Srishti – W4aW

Day 27

February 19th, 2018

Final edit of proposals (they are signed and submitted). Start designing research enquiry for data collection.


Day 28

February 20th, 2018

Start building a common dictionary of terminology: data collection. Further secondary research and planning for data collection.


Day 29

February 21th, 2018

Self study day


Day 30

February 22th, 2018

Arpita gives us a talk on public history. She has asked us to read us a text beforehand:

Ghosts of future NatioNs, or the uses of the holocaust MuseuM ParadiGM iN iNdia, by Kavita Singh.

She mentions two interesting examples of public history that use a different approach to qualitative data collection:

In the afternoon the discussion around how to visualise data for Sprockler continues, while I meet them one by one to make sure they are heading in the right direction with their data collection plans.


Day 31

February 23th, 2018

Venkat has yet again come for a Masterclass, and provided some valuable insights around how to work with data for analysis. He wanted the students to understand the difference between pattern and probability (they did a simple exercise of collecting dates of birth and putting them in a matrix).

Here are a few quotes, questions and references that I have extracted from his talk:

‘How do I get closer to uncertainty?’

‘How do I avoid bias?’

For your data survey:

Define goal, define audience, define means.

‘Kill all your darlings’ (William Faulkner)

Sampling is a bit of an art

Luck = probability taken personally

Mention to the experiments of Galileo (gravity)

Edward Demning –> Recovery of Japan

Data collection can be for understanding and/or predictions

‘Truth is like sunlight, you can never look at it directly’


In the afternoon, students presented their data collection strategy to the class, and here are a few references worth noting:

plastic cow / PETA

Dictionary of obscure sorrows -, John Koenig – TED talk : Beautiful new words to describe obscure emotions

Chris Jordan – TED talk: Turning powerful stats into art

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