Blogs, papers and guides
A Happy PhD A highly recommended blog about doctoral productivity, supervision and wellbeing kept by my friend and colleague Dr. Luis Pablo Prieto
Patter Patt Thompson’s blog about academic writing for PhDs and researchers in general. She provides very interesting guidance in terms of signposting for journal and thesis writing, how to structure the conclusion chapter, thesis writing modes, and many other useful topics.
“So long, and thanks for the Ph.D.!”. A.k.a “Everything I wanted to know about C.S. graduate school at the beginning but didn’t learn until later”, by Ronald T. Azuma, updated in 2019
Illustrated Guide to the PhD by Matt Might
How to be Stupid in Research (open access paper)
Good enough practices in scientific computing (open access paper)
Resources for academic writing
Ten simple rules for structuring papers (open access paper)
Useful Phrases and Sentences for Academic & Research Paper Writing. (really useful when writing a paper)
Reporting statistical results in your paper (really useful when writing a paper)
How to Write a Literature Review: Actionable Tips & Links
Research Questions in Design-Based Research, by Arthur Bakker
On excellence in reviews and meta-reviews, by Ken Hinckley from a HCI perspective
Guide to a successful presentation (recommended in CHI’18)
Text2Bib (a very useful tool to convert flat text references into .bib tex)
Recommended books (that may change your life…or part of it)
The gift of imperfection. Actually, the full title is: The Gifts of imperfection: Let go of who you think you’re supposed to be and embrace who you are; Your guide to a wholehearted life. This book communicates a very important message to our lives, which is particularly important to become an academic or professional with a balanced life. The author, Brene Brown, uses evidence from her research and her own life stories as a way of modelling the importance of sharing and embracing our weaknesses or “imperfections”.
Storytelling with data. Through this book, you can learn both the fundamentals of data visualisation and how to communicate effectively with data. The practical lessons that can be learnt from this book are critical for creating presentations, reports or dat-intensive-interfaces that explain the data rather than inviting people to put their “analysts hats” and explore the whole dataset.