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Oxford University Press is a department of the University of Oxford. It furthers the University's objective of excellence in research, scholarship, and education by publishing worldwide.

Print Price: $15.95

Format:
Paperback
304 pp.
40 b/w images, 129 mm x 196 mm

ISBN-13:
9780198842231

Publication date:
April 2021

Imprint: OUP UK


The Crowd and the Cosmos

Adventures in the Zooniverse

Chris Lintott

'fascinating'
Brian Cox

This is the story of citizen science.


Where once astronomers sat at the controls of giant telescopes in remote locations, praying for clear skies, now they have no need to budge from their desks, as data arrives in their inbox. And what they receive is overwhelming; projects now being built provide more data in a few nights than in the whole of humanity's history of observing the Universe.

It's not just astronomy either - dealing with this deluge of data is the major challenge for scientists at CERN, and for biologists who use automated cameras to spy on animals in their natural habitats. Artificial intelligence is one part of the solution - but will it spell the end of human involvement in scientific discovery?

No, argues Chris Lintott. We humans still have unique capabilities to bring to bear - our curiosity, our capacity for wonder, and, most importantly, our capacity for surprise. It seems that humans and computers working together do better than computers can on their own. But with so much scientific data, you need a lot of scientists - a crowd, in fact. Lintott found such a crowd in the Zooniverse, the web-based project that allows hundreds of thousands of enthusiastic volunteers to contribute to science.

In this book, Lintott describes the exciting discoveries that people all over the world have made, from galaxies to pulsars, exoplanets to moons, and from penguin behaviour to old ship's logs. This approach builds on a long history of so-called 'citizen science', given new power by fast internet and distributed data. Discovery is no longer the remit only of scientists in specialist labs or academics in ivory towers. It's something we can all take part in. As Lintott shows, it's a wonderful way to engage with science, yielding new insights daily. You, too, can help explore the Universe in your lunch hour.

Readership : General, tertiary.

Preface
1. Finding planets
2. How science is done
3. The crowd and the cosmos
4. No new ideas
5. Into the Zooniverse
6. Too many penguins
7. Things that go bang in the night
8. Serendipity
9. Humans versus computers
Further reading
Index

There are no Instructor/Student Resources available at this time.

Chris Lintott is a professor of astrophysics at the University of Oxford, where he is also a research fellow at New College. As Principal Investigator of the Zooniverse, he leads a team who run the world's most successful citizen science projects, allowing more than a million people to discover planets, transcribe ancient papyri, or explore the Serengeti. For this work he has received awards from the Royal Society, American Astronomical Society and Institute of Physics amongst others. A passionate advocate for the public understanding of science, he is best known as co-presenter of the BBC's long-running Sky at Night program and the author - with Queen guitarist Brian May and Sir Patrick Moore - of two books: Bang!: The Complete History of the Universe (Carlton Books, 2007) and The Cosmic Tourist (Carlton Books, 2012), both available in more than 13 languages.

The Crowd and the Cosmos - Chris Lintott
Conjuring the Universe - Peter Atkins
Turing - B. Jack Copeland

Special Features

  • A fascinating, personal account of the hugely popular web-based Zooniverse project, which enables hundreds of thousands of ordinary people to take part in cutting-edge science.
  • Written by its creator, astronomer and TV presenter Professor Chris Lintott.
  • Describes the intriguing questions in astronomy that the participating enthusiasts are helping to answer, and the discoveries they are making.
  • Highlights what humans can bring to interpreting big data that smart machines can't.