100 books like How to Make the World Add Up

I am a scientist in the field of medicine, and I like to read books that provide a surprising insight into our thinking and decision-making with a scientific basis. It is special how we think we are acting rationally while much of our action is influenced by the environment and news that comes our way. Some of the books in my list provide special insights that are refreshing and hold a mirror up to us.

I went to Afghanistan under the first Taliban government as a humanitarian aid worker. During the following decade, I experienced inadequate emotional, mental, and theological support from those who had sent me out. I began to research the field of risk and found a wealth of literature on how humans make decisions, how we see (or don’t see) danger, how to manage risk and fear, and more. We ignore the best practices and common sense of these fields to our peril. I am passionate about helping people not feel isolated and alone when they choose to serve in dangerous situations.

I am a Full Professor and Lab Director in Economics. My interest in this field began when I traveled abroad and observed the differences in prices, goods, and quality of life. In order to gain a deeper understanding, I decided to switch from my previous academic background in Engineering, Mathematics & Physics to Economics, Finance & Data Science. Today, I am dedicated to expanding my knowledge and sharing my insights through teaching, academic publications, and LinkedIn posts. According to the latest rankings, I am humbled to be among the top 3% most productive economists worldwide (IDEAS-RePec, 2023), as well as being ranked among the top 4% researchers in Financial Economics, and the top 5% in Econometrics (Researchgate, 2023).

I'm an economic anthropologist and teach classes and conduct research in this area. Economic anthropology is different from economics in that it questions many of the things that economics takes for granted. For example, most economists assume that allocating goods through the market by buying and selling is the best way to organize human communities. Economic anthropologists have shown, in contrast, that many societies have been organized according to other exchange principles. In fact, some of the oldest communities in the world, such as Sumer and Babylon, based their economies around elaborate systems of redistribution, in which every citizen was guaranteed food shares.

I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.

Throughout my academic career, my chief scholarly interest has been to assess public policy using coherent theory and rigorous empirical method. The economics of crime and justice offers a powerful framework for achieving these ends.

I grew up listening and participating in discussions about politics. These discussions often ended up on Economics – after all, “it’s the economy, stupid!”. Game theory, by being very broad and focused on strategic interactions, served as a very rewarding unifying apparatus for my understanding of Economics. It is also very beautiful and elegant, combining the austere beauty of pure mathematics with insights from elegant literature – I was pleased to cite Graham Green’s Our Man in Havana in a recent paper. It has accompanied me in a 20-year career since my PhD in Economics at the University of Minnesota to my current professorship in Economics at the University of Surrey.

I never had a real career. Closest I came was the Air Force Reserve for 27 years. Along the way, I built fighter-vs-fighter computer models for the Defense Department, served as an advisor to a Saudi Air Force prince, led a team that designed a replacement for the Air Force’s A-10 tankbuster (which was never built, unfortunately), sold C-130 transport aircraft in Saudi Arabia, taught statistics in business school, became a yoga instructor, and did PR work in Atlanta. Starting in 1975, I collaborated a little with a retired Air Force colonel, John Boyd, creator of the infamous “OODA loop.” I was never a published author in the US, although I am in India, Portugal, and Japan. 

I’m an economics professor, but I also have a column in Australia’s leading financial newspaper so I really appreciate authors who can tackle complex topics in an accessible manner. I’m also both extremely interested in and do academic research on topics to do with technologies like two-sided platforms, cryptocurrencies, blockchain, and artificial intelligence. All these books made me think harder about the big issues in these areas, and how to combine rigorous research with what is actually happening—often at breakneck speed—in the real-world digital economy.

I’m an applied statistician and academic researcher/lecturer at New Zealand’s oldest university – the University of Otago. R facilitates everything I do – research, academic publication, and teaching. It’s the latter part of my job that motivated my own book on R. From first-year statistics students who have never seen R to my own Ph.D. students using R to implement novel and highly complex statistical methods and models, my experience is that all ultimately love the ease with which the R language permits exploration, visualisation, analysis, and inference of one’s data. The ever-growing need in today’s society for skilled statisticians and data scientists means there's never been a better time to learn this essential language.