From left: Faculty of Creative Industries Dean Dr David Tneh Cheng Eng
presenting the token of appreciation to Prof Guisseppe
Tun Tan Cheng Lock Centre for Social and Policy Studies organised a talk
featuring Prof Dr Guisseppe Alassandro Veltri on 7 November 2017 at
Sungai Long Campus.
Titled “Big Data and Social Science Research”, the talk focused on the
contribution of Big Data to social science which was not limited to data
availability but included the introduction of analytical approaches that
have been developed in computer science, particularly in machine
learning. It brought a new ‘culture’ of statistical modelling that
carried considerable potential for the social scientist. Prof Guisseppe
illustrated a model-based recursive partitioning which bridged the
theory and data-driven approach. The new approach was able to help
revise models that work for the full dataset and it can be used for
evaluating different models.
He spoke about the first area of application known as the “Public
understanding of Science”. The research group was led by Gorge Gaskell
and Martin Bauer at London School of Economics (LSE), UK. The research
programme focused on the triangulation between three ‘fields’ of the
public sphere, which were public opinion studied via surveys and
qualitative methods, mass media using content analysis of mainly press
content and policymakers which are studies using policy documents.
Prof Giuseppe added, “Collectively the society is assembling data on
massive amounts of its behaviours. We can label these data as ‘organic’
a now-natural feature of this ecosystem where information is produced
from data by the users. The ‘designed’ data are collected when a person
design experiment or a questionnaire or a focus group.”
He also shared some insights on the three ‘V’s of Big Data which were
Volume, Velocity and Variety. The term ‘Volume’ refers to the amount of
data while ‘Velocity’ refers to the speed of data processing and
‘Variety’ talks about to the types of data such as structured,
unstructured, text or multimedia.
Prof Giuseppe has taught extensively in the fields of methodology of
social research and social psychology. His research interest focused on
public opinion research and new media, social representations,
behavioural economics and social psychology of economic life, social
networks, and public understanding of science. He has also published
journals such as Nature Materials, Public Understanding of Science, Big
Data and Society and PLOS ONE, to name a few. Prof Giuseppe holds a
Bachelor of Social Science in Psychology of Communication from the
University of Siena and Master of Science in Social Research Methods
from Methodology Institute of London School of Economics (LSE) and a PhD
in Social Psychology from LSE. He is currently a Professor at the
University of Trento.
Prof Giuseppe delivering his talk