Applications of Big Data to Social Sciences (bookings closed)

Course Code

HUB-08-17/18-P-R

Organised by

NCRM, University of Southampton

Presenter

Dr Claudia Abreu Lopes

Date

22/05/2018 - 24/05/2018

Venue

Glamorgan Building, University of Cardiff, King Edward VII Avenue, Cardiff

Map

View in Google Maps  (CF10 3WT)

Contact

Jacqui Thorp
Training and Capacity Building Co-ordinator
NCRM, University of Southampton
Tel: 02380594069
Email: jmh6@soton.ac.uk

Description

Researchers are now faced with the possibility of deriving insights from digital data sources to gain understanding of the social world. Through illustrations of applied research that rely on social data science, this course discusses methodological aspects of design, measurement and analysis of large textual datasets. Working mainly with social media and sms data, the participants will have access to teaching datasets to learn how to capture, prepare and analyse textual data. The analytical techniques employed combine qualitative frameworks based on coding and annotation with more automatic approaches based in clustering and classification, including sentiment and topic models. Ethical aspects related to privacy, agency, representation and legitimacy will be considered throughout the course.

The course covers:

  • Preparation and visualisation of textual data
  • Quantitative methods of text analysis, including mining social media
  • Methods for combining big data with traditional data
  • Ethical frameworks for access and analysis of big datasets

By the end of the course participants will:

  •  appreciate the merit of combining traditional and big data to address social research problems
  •  articulate methodological and ethical issues of social research using big data
  •  have a good understanding of different approaches to analyse and visualise structured and unstructured textual data

Pre-requisites:

Basic understanding of probability and statistics. Basic understanding of regression analysis and factor analysis

 

 

Level

Intermediate (some prior knowledge)

Cost

The fee per teaching day is:

• £30 per day for UK/EU registered students
• £60 per day for staff at UK/EU academic institutions, UK/EU Research Councils researchers, UK/EU public sector staff and staff at UK/EU registered charity organisations and recognised UK/EU research institutions.
• £220 per day for all other participants

All fees include event materials, lunch, morning and afternoon tea. They do not include travel and accommodation costs.

You can cancel for a full refund up to two weeks prior to the course. After this time no refund is available.

Region

Wales

Keywords

Textual Analysis, Social Network Analysis, Social Media Analysis , , , Big Data

Related publications and presentations

Textual Analysis
Social Network Analysis

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