Reinventing Discovery - Michael Nielsen [113]
my book proposal. Lee Smolin’s words of encouragement were especially welcome at a time when I was close to abandoning the book entirely. A big thank you to Eva Amsen, Rob Dodd, Eric Drexler, John Dupuis, Hassan Masum, Christina Pikas, Dorothea Salo, Lee Smolin, and Rob Spekkens for providing thoughtful comments on a draft of the entire book. Rob Spekkens not only provided detailed comments on the entire book, but made several broad suggestions that dramatically improved the entire work. Thanks to Harvey Brown, Amy Dodd, Danielle Fong, Chris Ing, Chris Lintott, Garrett Lisi, Cameron Neylon, Tobias Osborne, Peter Rohde, Mickey Schafer, Carlos Scheidegger, Arfon Smith, John Stockton, and Mark Tovey for detailed comments on early drafts of one or more chapters. Chapters 8 and 9 of this book are adapted in part from an essay that I wrote for my blog [152], and which was subsequently republished in Physics World [150]. My thanks to Joao Medeiros and Matin Durrani of Physics World for help with the article, and for making this possible. My work has been greatly enriched by the many people in the online open science community, and my thanks go to everyone in that community. Thanks especially to Cameron Neylon, Peter Suber, and the many others who have done so much to create a thriving online community for open science. Thanks also to those many other people whose insights have in ped my thinking, including: Scott Aaronson, Hal Abelson, Richard Akerman, Dave Bacon, Gavin Baker, Travis Beals, Pedro Beltrao, Mic Berman, Michael Bernstein, Peter Binfield, Robin Blume-Kohout, Jean-Claude Bradley, Björn Brembs, Titus Brown, Zacary Brown, Howard Burton, Carl Caves, Ike Chuang, Ken Coates, Alessandro Cosentino, John Cumbers, Wim van Dam, Amy Dodd, Rob Dodd, Michael Duschenes, Drew Endy, Steven van Enk, Steve Flammia, Connie French, Chris Fuchs, Joshua Gans, Alexei Gilchrist, Benjamin Good, Daniel Gottesman, Tim Gowers, Christopher Granade, Ilya Grigorik, Nicholas Gruen, Melissa Hagemann, Timo Hannay, Aram Harrow, Andrew Hessel, Daniel Holz, Tad Homer-Dixon, Bill Hooker, Sabine Hossenfelder, Jonathan Hunt, Heather Joseph, Jason Kelly, Marius Kempe, Manny Knill, Steve Koch, Matt Leifer, Hope Leman, Daniel Lemire, Debbie Leung, Mike Loukides, Sean McGee, Bob McNees, Hassan Masum, Gerard Milburn, Len Mlodinow, Peter Murray-Rust, Brian Myers, Béla Nagy, Anders Norgaard, Jill O’Neill, Tobias Osborne, Seb Paquet, Heather Piwowar, Jorge Pullin, Srinivasan Ramasubramanian, Neil Saunders, Kevin Schawinski, Cosma Shalizi, Alice Sheppard, John Sidles, Deepak Singh, Rolando Somma, Hilary Spencer, Graham Steel, Victoria Stodden, Dan Stowell, Brian Sullivan, Pawel Szczsny, Terry Tao, Kaitlin Thaney, Matthew Todd, Ben Toner, Umesh Vazirani, Ricardo Vidal, Christian Weedbrook, Andrew White, John Wilbanks, Greg Wilson, Shirley Wu, Carl Zimmer, and Bora Zivkovic. To those other people whose names should be on this list, but which aren’t, my apologies, and my thanks. More than I can say, thankyou to my family, for their love and support: Howard and Wendy Nielsen; Stuart and Shelly Nielsen; Kate Nielsen and Scott Andrews; my niece and nephews Zie, Cooper, Blake, and Bowen; my Grandma Ricardo; Rob and Diane Dodd; Amy Dodd; and Candace and Jonny Marzano. My greatest thanks of all go to my wife, Jen Dodd. Jen’s comments and criticisms have greatly improved every aspect of this book, from the tiniest details to the large-scale structure and the overall argument. Without her encouragement and support I would never have begun the book, and certainly would never have finished it.
Selected Sources and Suggestions for Further Reading
This book is in considerable part a work of synthesis, and it owes a tremendous debt to the work of others. Detailed notes on my sources can be found beginning on page 221. Here, I describe a few of the sources that have most decisively influenced my thinking, and suggest further reading.
Collective intelligence: The idea of using computers to amplify individual and collective human intelligence has a long history. Influential