COVID 19 - Web Scraping Data (online) (cancelled)
|The University of Edinburgh|
Dr Diarmuid McDonnell, Research Fellow, Third Sector Research Centre, University of Birmingham
Online delivery by The University of Edinburgh
View in Google Maps (EH8 9LN)
There is an unprecedented amount of information on the internet that could usefully be harvested in order to investigate the COVID -19 pandemic.
This half-day course will showcase suitable techniques for web scraping COVID -19 data.
There will be a series of practical examples demonstrated using the Python programming language.
It is most suited to empirical social science researchers interested in collecting data on COVID -19 and the pandemic.
Participants will gain:
There are no prerequisites, however having attended the NCRM workshop Web Scraping to Build Social Research Data will be an advantage (held on 17th May 2021) https://go.soton.ac.uk/dce
Postgraduate students, earlier career researchers, and mid to late career researchers interested in re-skilling.
The course will be delivered online and the course will run from 13:00 - 16:00
Intermediate (some prior knowledge)
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. • £100 per day for all other participants. Cancellation Policy: Please be reminded that you will be charged the full registration fee if you cancel your place within 4 weeks before the training delivery date or you fail to attend. If you are able to fill the place on the course you are cancelling then the cancellation charge will not apply.
Digital Social Research, Online Data Collection , Research Ethics, Web scraping, python
Related publications and presentations