JISC Digital Festival 2014 – Notes Day 1 (Cont…)

The other presentation I attended on day 1 of the festival was that given by Prof. David de Roure of the  University of Oxford.  He spoke on “Big Data for the Social Sciences“, which I hoped would be relevant to my own work on Learning Analytics.  This blog post is my notes from his talk.

How does technology get used in research?

-> What is this new “big data” and what does it tell us?

  • Big data does not respect disciplinary boundaries
  • Data has been around a long time
  • There is a lot of “hype” around big data that has led to inflated expectations of it
  • Can consider 2013 as the year we sort to define big data and 2014 the year we begun to use it effectively
  • It is big data because of both the velocity and volume of the data being generated
  • “Data deluge” is now a phenomenon across the disciplines
  • In the past analysis moved from the universities to business, now it is from the business world to the universities.
  • There is  huge unsatisfied demand for “data scientists”
  • Mores Law vs The Big Social

Moore's Law vs Big Social diagram

  • We use digital tools because it is the ecosystem – Research 2.0
  • What is the relevance of Social Science to Big Data?
    • We need to think through the implications
  • RCUK’s definition of “big data” is: big enough that we can’t deal with it as we did before
  • Why do we want it?
    • To do things in new ways
    • To do new things
    • e.g. Twitter data – we can look at the evolution of social processes in real-time
  • We need the expertise of those from classical Social Science
    • e.g. food vs consumption
    • can obtain new data from new sources (e.g. supermarket loyalty cards)
  • We can use different data sets to correlate
  • Real-time uses of big data, e.g. Twitter
    • spread of infectious diseases
    • riots
  • Visualisation can lead to better analysis
  • Underpinned by available infrastructure
  • Wikipedia is an example of  a social medium
    • behaviorally it is socially constructed
    • different in different countries/languages

— end —