Preface

Note to Readers

This book is in Open Review. I want your feedback to make the book better for you and other readers. To add your annotation, select some text and then click the on the pop-up menu. To see the annotations of others, click the in the upper right hand corner of the page .


This online book is a compilation of resources aimed at advancing quantitative social science in Singapore. It is meant to be a ‘living document’, so it will be updated as frequently as possible. The main goal is to promote interest, rigour, and transparency in trying to understand Singapore society through quantitative lenses. It does so by:

  1. Providing information on Singapore-relevant datasets that are currently used to answer research and policy questions (Chapter 1 and Chapter 2). This includes:
    • Descriptions of publicly available datasets and how to access them. This overview of the ‘data landscape’ will be helpful for social scientists to get started with research on Singapore, and prevent wasteful overlap in primary data collection across institutions.
    • A list of restricted or non-publicly available datasets that could be used to answer important research or policy questions if access was granted. If available, details on the dataset and reasons for data restriction will also be listed. It is hoped that this list will promote greater transparency in data sharing across research teams.
  2. Occasional think pieces by researchers on best practices and on how to improve quantitative social science in Singapore (Chapter 3).
  3. Maintaining a repository of replicable case studies on Singapore society (with annotated code, where possible) which can be used for illustrations in any quantitatively oriented college-level class (Chapter 4 onwards). These may be short summaries (blog-length) of published work, or side analyses that may not be appropriate for an academic journal but are useful for Singapore social science nonetheless.

I am actively looking for contributors (go here to see how you can contribute). Readers with ideas on how to improve this resource (or who may wish to help me maintain it) may use the in-built annotation feature, or email me at shannon.ang@ntu.edu.sg.


Creative Commons License
This book is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.