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This book helps you develop your research design skills and confidently plan your social data science research project.
List of contents
Chapter 1: What is social data science?
Chapter 2: How to determine the design elements in social data science
Chapter 3: How to find the literature and data sources
Chapter 4: What can be learnt from your research?
Chapter 5: What is ethical social data science?
Chapter 6: How to determine your social data science methodology
Chapter 7: What quantitative methods can you use in social data science?
Chapter 8: What qualitative methods can you use in social data science?
Chapter 9: What mixed methods can you use in social data science?
Chapter 10: How to determine your data management and analysis tools
Chapter 11: How to communicate your design and your results
About the author
Dr Taha Yasseri is a Senior Research Fellow in Computational Social Science at the Oxford Internet Institute, University of Oxford, an Alan Turing Fellow at the Alan Turing Institute for Data Science, and a Research Fellow in Humanities and Social Sciences at Wolfson College, University of Oxford.
Dr Yasseri graduated from the Department of Physics at the Sharif University of Technology, Tehran, Iran, in 2005, where he also obtained his MSc in 2006, working on localization in scale free complex networks. In 2007, he moved to the Institute of Theoretical Physics at the University of Göttingen, Germany, where he completed his PhD in Complex Systems Physics in 2010. Prior to coming to Oxford, he spent two years as a Postdoctoral Researcher at the Budapest University of Technology and Economics.
Summary
This book helps you develop your research design skills and confidently plan your social data science research project.
