A01=Bernie Hogan
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computational social science
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data analysis
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python research
python social science
social data science
social data science research
social science programming
social science python
softlaunch
Product details
- ISBN 9781529707496
- Weight: 930g
- Dimensions: 170 x 242mm
- Publication Date: 21 Dec 2022
- Publisher: SAGE Publications Ltd
- Publication City/Country: GB
- Product Form: Hardback
- Language: English
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From Social Science to Data Science is a fundamental guide to scaling up and advancing your programming skills in Python. From beginning to end, this book will enable you to understand merging, accessing, cleaning and interpreting data whilst gaining a deeper understanding of computational techniques and seeing the bigger picture.
With key features such as tables, figures, step-by-step instruction and explanations giving a wider context, Hogan presents a clear and concise analysis of key data collection and skills in Python.
With key features such as tables, figures, step-by-step instruction and explanations giving a wider context, Hogan presents a clear and concise analysis of key data collection and skills in Python.
Bernie Hogan (he/him/*) is a Senior Research Fellow at the Oxford Internet Institute and the current Director
of the University of Oxford’s MSc program in Social Data Science. Bernie’s work specialises in how to
leverage computational tools for creative, challenging, and engaging methodologies to address social science
research questions about identity, sexuality, and community. His favourite work in this area focuses on the
capture and analysis of personal social networks, using both pen-and-paper tools and the recent free opensource
application Network Canvas (https://www.networkcanvas.com). He also has a keen interest in how
language is used to either bring people together or push them apart using large scale quantitative data. He
has published over 40 peer reviewed articles and presented at over a hundred conferences, including several
keynotes. His most famous work reconsidered Goffman’s offline stage play metaphor of self-presentation for
online life (Hogan, 2010). This piece probably helped in popularising the term “algorithmic curation”.
Before working at the University of Oxford’s Oxford Internet Institute (https://www.oii.ox.ac.uk) he completed
his undergraduate and graduate degrees in Canada. His undergraduate was in Sociology and Computer
Science at Memorial University in St. John’s, Newfoundland, Canada. His graduate work was in Sociology
and Knowledge Media Design at the University of Toronto. During that time Bernie interned at Microsoft
Research. Bernie lives in Oxford, UK with his husband and their sprawling vinyl record collection. He tweets
(and collects vinyl) under the moniker “blurky” because it is a very rare word that sounds like Bernie. Most
of this research is available from his departmental homepage, (https://www.oii.ox.ac.uk/people/hogan) and
or/his GitHub, (https://www.github.com/berniehogan).
