DannyQuah.github.io
DQ GitHub Pages
This is not my website. It's a bare-bones collection of pages for rapid access, quick update, and reduced (git-control) fuss, focusing on just my writings or lectures or R code. Most of what appears below is auto-generated.
(For my TikTok videos or Insta snaps, you'll have to look elsewhere.)
Who am I? Google Scholar // CV-pdf // LKYSPP homepage // Personal site
In-progress manuscripts or things freshly out:
"Inequality is No Sufficient Statistic" // Technical paper (not yet uploaded) // 2021.07 IEA RIDGE slides // 2021.05 Nontechnical treatment // 2021.02 Straits Times Commentary - Inequality: A tale of three countries The paper in 1 picture 
"The Inchoate Tradeoff Between COVID-19 And Economic Performance" (June 2021). The paper in 1 picture 
"Taking Stock of an Unprecedented Pandemic," (with Ong, Toon Hui) Ethos (June 2021), Issue 22 pp. 7-19.
"A Thucydides Fallacy: The New Model of Power Relations for Southeast Asia, the US, and China," THINK, The Head Foundation Digest (June 2021) Issue 8, pp. 2-7. Reprinted, with new introduction section. The paper in 1 picture 
"The Marketplace for World Order: Inclusiveness in the International System"
Soundbites on longer-term strategic work arcs:
- Is world order a linear hierarchy, or is an alternative geometry more appropriate?
- Where is the World's Tightest Cluster of People, that is, the smallest circle on our 3-dimensional planet that includes at least 50% of the world's population? In 2015 that was the circle 3300km in great-circle radius centred near Mong Khet in Shan State, Myanmar, on the border with China.
- This is my 2011 animation of the global economy’s shifting center of gravity since 1980. The dots in black are 1980-2007; those in red are 2010-2049. The paper won the GPPN Best Article Prize for 2011.
- The sequence of past workstreams, apparently, show the same "1 picture" trait:
Who knew. (These extractions are from previous different publications of mine. The sequence of "each workstream in 1 picture" result from my attempts to cross-validate on an independent corpus what I'm machine-learning about the world's emotions, language, and tone in narratives on inequality and social mobility).