Link
Embed
Share
Beginning
This slide
Copy link URL
Copy link URL
Copy iframe embed code
Copy iframe embed code
Copy javascript embed code
Copy javascript embed code
Share
Tweet
Share
Tweet
Slide 1
Slide 1 text
Predicting the future of publishing Arfon Smith @arfon Creative Commons Attribution 3.0 Unported License
Slide 2
Slide 2 text
No content
Slide 3
Slide 3 text
No content
Slide 4
Slide 4 text
No content
Slide 5
Slide 5 text
No content
Slide 6
Slide 6 text
No content
Slide 7
Slide 7 text
!
Slide 8
Slide 8 text
No content
Slide 9
Slide 9 text
No content
Slide 10
Slide 10 text
No content
Slide 11
Slide 11 text
No content
Slide 12
Slide 12 text
No content
Slide 13
Slide 13 text
No content
Slide 14
Slide 14 text
No content
Slide 15
Slide 15 text
4,000,000 8,000,000 12,000,000 16,000,000 20,000,000 2007 2008 2009 2010 2011 2012 2013 2014 Repositories
Slide 16
Slide 16 text
0 3,000,000 6,000,000 9,000,000 2007 2008 2009 2010 2011 2012 2013 2014 Users
Slide 17
Slide 17 text
not doing this
Slide 18
Slide 18 text
Software & Data Services
Slide 19
Slide 19 text
Three assumptions
Slide 20
Slide 20 text
1. Open is the new normal
Slide 21
Slide 21 text
2. The PDF is an increasingly unsatisfactory way of sharing research
Slide 22
Slide 22 text
3. We are generally unprepared to share data and software in a useful (and creditable) way
Slide 23
Slide 23 text
Software & Data Services
Slide 24
Slide 24 text
No content
Slide 25
Slide 25 text
No content
Slide 26
Slide 26 text
No content
Slide 27
Slide 27 text
No content
Slide 28
Slide 28 text
BIG SCIENCE
Slide 29
Slide 29 text
New tools. New ways of working.
Slide 30
Slide 30 text
New tools. New ways of publishing.
Slide 31
Slide 31 text
Reproducibility Data intensive
Slide 32
Slide 32 text
Complex (unpublished) things Numbers, data Science!
Slide 33
Slide 33 text
Should academia behave more like open source?
Slide 34
Slide 34 text
No content
Slide 35
Slide 35 text
No content
Slide 36
Slide 36 text
No content
Slide 37
Slide 37 text
Verification & benchmarking services Likely thing #1:
Slide 38
Slide 38 text
No content
Slide 39
Slide 39 text
No content
Slide 40
Slide 40 text
No content
Slide 41
Slide 41 text
No content
Slide 42
Slide 42 text
No content
Slide 43
Slide 43 text
No content
Slide 44
Slide 44 text
No content
Slide 45
Slide 45 text
No content
Slide 46
Slide 46 text
No content
Slide 47
Slide 47 text
No content
Slide 48
Slide 48 text
No content
Slide 49
Slide 49 text
No content
Slide 50
Slide 50 text
No content
Slide 51
Slide 51 text
Software is an unforgiving medium
Slide 52
Slide 52 text
Automating processes
Slide 53
Slide 53 text
“open source is… reproducible by necessity” Fernando Perez http://blog.fperez.org/2013/11/an-ambitious-experiment-in-data-science.html
Slide 54
Slide 54 text
Benchmarking services
Slide 55
Slide 55 text
No content
Slide 56
Slide 56 text
No content
Slide 57
Slide 57 text
No content
Slide 58
Slide 58 text
No content
Slide 59
Slide 59 text
No content
Slide 60
Slide 60 text
No content
Slide 61
Slide 61 text
No content
Slide 62
Slide 62 text
No content
Slide 63
Slide 63 text
No content
Slide 64
Slide 64 text
Most innovation around shared challenges/data products Likely thing #2:
Slide 65
Slide 65 text
10 ? n Level 1 (continual) Level 2 (periodic)
Slide 66
Slide 66 text
Software composed of many components
Slide 67
Slide 67 text
Your software is the thing that is different
Slide 68
Slide 68 text
Open Source: Ubiquitous culture of reuse
Slide 69
Slide 69 text
Ecosystem around data products
Slide 70
Slide 70 text
Stars Rocks SN WR NEOs Josh Bloom’s Type Ia supernovae Level 1 (continual) 10 n
Slide 71
Slide 71 text
No content
Slide 72
Slide 72 text
No content
Slide 73
Slide 73 text
No content
Slide 74
Slide 74 text
‘Normal’ citations won’t be sufficient for software Likely thing #3:
Slide 75
Slide 75 text
“Academic environments of today do not reward tool builders” Ed Lazowska, OSTP event http://lazowska.cs.washington.edu/MS/MS.OSTP.pdf
Slide 76
Slide 76 text
No content
Slide 77
Slide 77 text
No content
Slide 78
Slide 78 text
No content
Slide 79
Slide 79 text
“publishing a paper about code is basically just advertising” David Donoho http://www.stanford.edu/~vcs/Video.html
Slide 80
Slide 80 text
Transitive Credit
Slide 81
Slide 81 text
Paper Author 1 Author 2 Paper Software Data 0.2 0.2 0.4 0.1 0.1 Paper Software Software Author 1 0.5 0.3 0.1 0.1 http://arxiv.org/abs/1407.5117, Katz & Smith
Slide 82
Slide 82 text
Authorship isn’t static
Slide 83
Slide 83 text
No content
Slide 84
Slide 84 text
No content
Slide 85
Slide 85 text
No content
Slide 86
Slide 86 text
No content
Slide 87
Slide 87 text
No content
Slide 88
Slide 88 text
No content
Slide 89
Slide 89 text
No content
Slide 90
Slide 90 text
No content
Slide 91
Slide 91 text
Where does progress come first?
Slide 92
Slide 92 text
Where do communities form?
Slide 93
Slide 93 text
Around a shared challenge?
Slide 94
Slide 94 text
Around shared data?
Slide 95
Slide 95 text
Be more exact
Slide 96
Slide 96 text
Where peers can most easily recognise value
Slide 97
Slide 97 text
Open source has solved much of what academia needs
Slide 98
Slide 98 text
The challenge is to adapt and evolve the academy in this new collaborative age
Slide 99
Slide 99 text
Thanks. arfon@github.com @arfon "