100 books like Thing Explainer

I am not very good at making things. I am good enough to appreciate the craftsmanship of those much better than me. I am more of an ideas person, perhaps why I ended up with a PhD in Philosophy of Science. But I have always held a secret admiration—with a tinge of envy—for people who are makers. As I went deeper into my career as a philosopher of science, I became aware that the material/making aspect of science—and technology—was largely ignored by ideas-obsessed philosophers. So, this is where I focused my attention, and I’ve loved vicariously being able to be part of making the world.

I am not very good at making things. I am good enough to appreciate the craftsmanship of those much better than me. I am more of an ideas person, perhaps why I ended up with a PhD in Philosophy of Science. But I have always held a secret admiration—with a tinge of envy—for people who are makers. As I went deeper into my career as a philosopher of science, I became aware that the material/making aspect of science—and technology—was largely ignored by ideas-obsessed philosophers. So, this is where I focused my attention, and I’ve loved vicariously being able to be part of making the world.

I am not very good at making things. I am good enough to appreciate the craftsmanship of those much better than me. I am more of an ideas person, perhaps why I ended up with a PhD in Philosophy of Science. But I have always held a secret admiration—with a tinge of envy—for people who are makers. As I went deeper into my career as a philosopher of science, I became aware that the material/making aspect of science—and technology—was largely ignored by ideas-obsessed philosophers. So, this is where I focused my attention, and I’ve loved vicariously being able to be part of making the world.

I am not very good at making things. I am good enough to appreciate the craftsmanship of those much better than me. I am more of an ideas person, perhaps why I ended up with a PhD in Philosophy of Science. But I have always held a secret admiration—with a tinge of envy—for people who are makers. As I went deeper into my career as a philosopher of science, I became aware that the material/making aspect of science—and technology—was largely ignored by ideas-obsessed philosophers. So, this is where I focused my attention, and I’ve loved vicariously being able to be part of making the world.

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.

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.

Colin Koopman researches and teaches about technology ethics at the University of Oregon, where he is a Professor of Philosophy and Director of the interdisciplinary certificate program in New Media & Culture.  His research pursuits have spanned from the history of efforts in the early twentieth century to standardize birth certificates to our understanding of ourselves as effects of the code inscribed into our genes.  Koopman is currently at work on a book that will develop our understanding of what it takes to achieve equality and fairness in data systems, tentatively titled Data Equals.

I am a leader in analytics and AI strategy, and have a broad range of experience in aviation, energy, financial services, and the public sector.  I have worked with several major organizations to help them establish a leadership position in data science and to unlock real business value using advanced analytics. 

In sixth grade, my teacher tried to teach the class how to read line charts – and something fell into place for me. Ever since then, I’ve tried to sort data into forms that we can use to make sense of it. As a researcher at Microsoft, I consulted with teams across the organization – from sales to legal; and from Excel to XBox – to help them understand their data. At Honeycomb, I design tools for software operations teams to diagnose their complex systems. These books each gave me an “ah-hah” moment that made me think differently about the craft of creating visualization. They now sit on my shelf in easy reach – I hope you find them fascinating too.

I’m a Scientist in Residence at Lux Capital, a venture capital firm that invests in startups at the frontiers of science and technology. I have a PhD in computational biology and focused my academic research on the nature of complex systems, but I soon became fascinated by the ways in which science grows and changes over time (itself a type of complex system!): what it is that scientists do, where scientific knowledge comes from, and even how the facts in our textbooks become out-of-date. As a result of this fascination, I ended up writing two books about scientific and technological change.