Watch part 2 here! https://youtu.be/5QyeBmDK1oI
For details of my 6 week online academic writing course 👉 https://phd.academy/the-writing-course
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0:47 The problem with using AI to write a literature review
2:04 Can you use AI to help write a literature review?
2:40 You definitely don't need to use AI
3:49 About James Hayton
4:24 The problem with summarizing papers as you go
5:59 How to build your knowledge of the literature
6:45 How to develop a general picture of the literature
8:19 Identify key influential papers
9:54 You can and should read papers multiple times
11:00 Getting to know the basics
11:55 Make sure you understand research and analytical techniques
13:14 Highly relevant papers for your specific project
13:43 Summary of the levels of basic knowledge you need
14:16 Build a collection of key, high-quality sources
14:48 Getting into details
15:23 The hard work
16:30 Any questions?
Other notes:
(2:15) The AI as an intern analogy isn't my own: I stole it from Kevin Kelly on the Tim Ferriss podcast: https://www.youtube.com/watch?v=hIJw72PDRSc
(2:40) Google scholar launched in November 2004, more than a year after I started my PhD
(8:19) L. T. Canham. Silicon quantum wire array fabrication by electrochemical and chemical dissolution of wafers. Applied Physics Letters, 57(10):1046–1048, 1990 (Cited over 7000 times as of August 2024)