February 19th, 2018
Final edit of proposals (they are signed and submitted). Start designing research enquiry for data collection.
February 20th, 2018
Start building a common dictionary of terminology: data collection. Further secondary research and planning for data collection.
February 21th, 2018
Self study day
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.
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
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:
Chris Jordan – TED talk: Turning powerful stats into art