Exploring human behaviour in interdisciplinary learning environments - Ali Fisher

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Presentation given at the HEA Social Sciences learning and teaching summit 'Exploring the implications of ‘the era of big data’ for learning and teaching'.

A blog post outlining the issues discussed at the summit is available via: http://bit.ly/1lCBUIB

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  • cultural phenomena & a technological approach to conducting research
  • Does not need to be big.
    What is big now, won’t be in a couple of years.
    It has to be appropriate to the task.

  • Exploring human behaviour in interdisciplinary learning environments - Ali Fisher

    1. 1. Exploring human behaviour in interdisciplinary learning environments Ali Fisher
    2. 2. •History, •American Studies, •Public Diplomacy, •Counter terrorism, •Public health Fields:
    3. 3. Is it possible to [ ... ]? The most important phrase for using big data in social science:
    4. 4. • The Big Data era is more than the size, • Getting a birds eye view of data, • Network Analysis, • Examples, • Getting started,
    5. 5. The open source Jihad The ‘big’ in big data Bigger is not necessarily better No need for unsupervised digital landfill (Matt Asay) a)Does not need to be big. b)What is big now, won’t be in a couple of years. c)It has to be appropriate to the task.
    6. 6. A birds-eye-view of human networks
    7. 7. • Interviews •Letters and archives • WWII SIGINT (e.g. from Bletchley Park) • Familial ties in Renaissance Florence • Eurovision voting • Transmission of disease • ENRON email trail • Online communities
    8. 8. Example: Open source relational data 66 important Jihadist accounts on Twitter
    9. 9. Tracking Response Information sharing network over time http://bit.ly/GZ43H8 Example: Open source relational data (part 2)
    10. 10. #Neda #GR88 #HelpIranElection
    11. 11. The opportunity in the era of big data comes not from drowning in a sea of data but navigating the most useful ways to derive insight and develop innovative strategies from that data. The easy availability of tools through which to analyse data is creating many exciting opportunities for the digital humanities to explore the available data in new interdisciplinary methods which compliment existing approaches. Getting into what can be loosely termed big data does not have to come with a big price tag, until users have begun to develop fairly large-scale projects.
    12. 12. GDELT Opportunity to study events over time. AQ activity over last 10 years Elections Geography of news coverage Network of news makers ‘the global conversation’
    13. 13. Getting started: • Work in interdisciplinary teams • Become familiar with approaches via small scale experiments (getting started is often the hardest part) • Clarity on ethics. • Ask is it possible to [ ... ]?

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