• Everett M. Rogers, Diffusion of Innovations (2003)
• Philippe Aghion, Peter W. Howitt – The Economics of Growth  -The MIT Press (2009)
• Donella H Meadows_ Diana Wright – Thinking in systems _ a primer-Earthscan (2009)
• Tim Wu, Master Switch: The Rise and Fall of Information Empires (2012)
• Clayton M. Christensen, Michael E. Raynor, The Innovator’s Solution: Creating and Sustaining Successful Growth, Harvard Business Review Press (2013)
• Mariana Mazzucato – The Entrepreneurial State_ Debunking Public vs. Private Sector Myths-Anthem Press (2014)
• Joel Mokyr, A Culture of Growth: The Origins of the Modern Economy, Princeton University Press (2016)
• Stephen S. Cohen, J. Bradford DeLong – Concrete Economics_ The Hamilton Approach to Economic Growth and Policy-Harvard Business Review Press (2016)
• Benjamin Bengfort, Tony Ojeda, Rebecca Bilbro, Applied Text Analysis with Python: Enabling Language Aware Data Products with Machine Learning, O’Reilly Media (2017)
• Vaclav Smil, Energy and Civilization: A History, Mit Press (2017)
• Clayton M Christensen, Efosa Ojomo, Karen Dillon, The Prosperity Paradox, HarperCollins (2018)
• Edward Tenner, The Efficiency Paradox: What Big Data Can’t Do, Knopf (2018)
• John D. Kelleher, Brendan Tierney, Data Science, The MIT Press (2018)
• Leigh, A. – Randomistas_ How Radical Researchers Changed Our World-Schwartz Publishing Pty. Limited (2018)
• Amy Webb, The Big Nine: How the Tech Titans and Their Thinking Machines Could Warp Humanity, PublicAffairs (2019)
• Jared Diamond, Upheaval: Turning Points for Nations in Crisis (2019)
• Jonathan Gruber, Simon Johnson, Jump-Starting America: How Breakthrough Science Can Revive Economic Growth and the American Dream, PublicAffairs (2019)
• Richard Seymour, The Twittering Machine, The Indigo Press (2019)
• Tyler Cowen, Big Business: A Love Letter to an American Anti-Hero, St. Martin’s Press (2019)
• Edward O. Wilson, Genesis The Deep Origin of Societies, Liveright Publishing Corporation (2019)
• Aurélien Géron, Hands on Machine Learning with Scikit Learn Keras and TensorFlow. 2nd Edition-O’Reilly Media (2019)

Because Internet: Understanding the New Rules of Language by Gretchen McCulloch  (2019)

Vox, NPR, NYT

Narrative Economics: How Stories Go Viral and Drive Major Economic Events by Robert J. Shiller (2019)

The World of the Crusades by Christopher Tyerman (2019)

The Value of Everything: Making and Taking in the Global Economy by Mariana Mazzucato (2018)

Writing to Persuade: How to Bring People Over to Your Side By Trish Hall (2019)

Reading now

Recommended books to read. Mostly non-fiction

Confronting the classics by Mary Beard, Profile 2013 (history)
SPQR by Mary Beard (history)
Extraordinary popular delusions and the madness of crowds by Charles Mackay (history/economy classics)
The fifth risk by Michael Lewis (history)
The undoing project by Michael Lewis (history)
The myth of Sisyphus and other essays by Albert Camus (philosophy)
Incognito by David Eagleman (psychology)
Thinking, Fast and Slow by Daniel Kahneman (psychology)
Atomic habits by James Clear (psychology)
The power of habit by Charles Duhigg (psychology)
Weapons of the Viking warrior by Gareth Williams (history)
Bad blood by John Carreyrou (tech scene)
Gut reactions by Simon Quellen Field (health)
Symmetry: A very short introduction by Ian Stewart (I love this series!)
Millennium: The End of the World and the Forging of Christendom by Tom Holland, Abacus 2009 [476 pages] (history)

InnovationTechnology

Thomas Kuhn, The Structure of Scientific Revolutions, University of Chicago Press, 1970 [210 pages] (classic, philosophy of science)
Edward Tenner, Why Things Bite Back_ Technology and the Revenge of Unintended Consequences, Vintage, 1997 [448 pages] (5/5, strongly recommended)
Tom Kelley, Jonathan Littman, The Ten Faces of Innovation, 2005 [288 pages] (2.5/5, a bit boring but great stories included)
Frans Johansson, The Medici Effect: What Elephants and Epidemics Can Teach Us About Innovation, Harvard Business School Press, 2006 [207 pages] (3/5, too short, too obvious)

Ajay Agrawal, Joshua Gans, and Avi Goldfarb, Prediction Machines: The Simple Economics of Artificial Intelligence, Harvard Business Review Press, 2018 [272 pages] (AI/ML, 4/5)

Gary F. Marcus, Ernest Davis, Rebooting AI: Building Artificial Intelligence We Can Trust-Pantheon Books, 2019 [290 pages] (AI, 4/5, nothing new for me but overall a nice AI intro book, a bit short)

Popular economicspsychology

Inside the nudge unit by David Halpern
Nudge by Richard H. Thaler
Fooled by randomness by Nassim Nicholas Taleb
Think like a freak by Steven D. Levitt and Stephen J. Dubner
Naked economics by Charles Wheelan
Misbehaving by Richard H. Thaler
Irrationally yours by Dan Ariely and William Haefeli
The hidden half by Michael Blastland
Grit: The Power of Passion and Perseverance by Angela Duckworth, Scribner, 2016 [352 pages] (2/5, because it is rather boring); short review here

Data scienceGame theory

Data Science by Doug Rose (3/5)
Data science for business by Foster Provost (5/5)
Gladiators, Pirates and Games of Trust by Haim Shapira

Design/Art

Design as art by Bruno Munari
In progress by Jessica Hische
Bibliophile by Jane Mount

Classics

On the Nature of Things by Titus Lucretius Carus, translated by William Ellery Leonard.
The history of the Pelponnesian War by Thucydides, translated by Richard Crawley
Hellenica by Xenophon, translation by H.G. Dakyns