Big Data and Social Science (join a waiting list)
Date:
07/12/2016 - 08/12/2016
Organised by:
NCRM, University of Southampton
Presenter:
Professor Frauke Kreuter
Level:
Intermediate (some prior knowledge)
Contact:
Jacqui Thorp
Training and Capacity Building Co-ordinator
NCRM, University of Southampton
Email: jmh6@soton.ac.uk
Phone: 02380594069
Description:
Social scientists and survey researchers are increasingly faced with integrating data from multiple data sources, and expanding their activities beyond experiments and surveys. This course will discuss these developments, and provide practical guidance on combining methods and tools from computer science, statistics, and social science. In particular techniques such as data based management and machine learning applications will be discussed, but also the linkage of various records, or privacy issues and questions around informed consent. The course presents the key big data tools in a non-intimidating way to social and data scientists while not neglecting research questions and purposes. The course aims to illustrate social science and data science principles through real-world applications, and links computer science concepts to real social science as well as survey research. Portions of the course are based on parts of a recent textbook with the same title. Data and code to practice will be available on GitHub.
The course covers:
- Background to Research Questions and Inference in the Social Sciences
- Data Capture and Curation
- Modelling and Analysis
- Information Visualization
- Privacy and Ethics
By the end of the course participants will:
- Have a good understanding of commonalities and differences between the techniques used in the social sciences and those used in computer science
- Have seen examples of what can be done with techniques from other disciplines
- Know about research that integrates survey data with other data sources
- Have a solid basis for self-study with the Foster et al. textbook “Big Data and Social Science”
The course is based on the new book by Forster et al. It is very strongly recommended that course participants order the book in advance of the course. For course participants, the book is available for a 20% discount (£25.60 instead of the standard price of £31.99).
Details about the book and how to order:
Foster, I., Ghani, R., Jarmin, R.S., Kreuter, F. and Lane, J. (2016) Big Data and Social Science: A Practical Guide to Methods and Tools, Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences, 356 Pages, ISBN 9781498751407.
Ordering the book is very simple. Here is the direct link you will need to use: - https://www.crcpress.com/Big-Data-and-Social-Science-A-Practical-Guide-to-Methods-and-Tools/Foster-Ghani-Jarmin-Kreuter-Lane/p/book/9781498751407 – Do not forget to use the promotion code: 194CM
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.
Website and registration:
Region:
Greater London
Keywords:
Online Data Collection , Big data, Data Mining, Machine learning, Paradata , Administrative records
Related publications and presentations:
Online Data Collection
Big data
Data Mining
Machine learning