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Data, Code, andResearch at Scale         Josh Greenberg  The Alfred P. Sloan Foundation      greenberg@sloan.org       @ep...
DisclaimerThese statements do not necessarily reflect thethoughts of the Alfred P. Sloan Foundation or my        colleagues...
Research at Scale
http://www.flickr.com/photos/ryanwick/3461850112/
http://www.flickr.com/photos/tncountryfan/5543540985/
Macroscope
http://pespmc1.vub.ac.be/macroscope/default.html
“My aim here is to inspire computer scientists toimplement software frameworks that empowerdomain scientists to assemble t...
http://ngrams.googlelabs.com/graph?content=science,+technology&year_start=1800&year_end=2000&corpus=0&smoothing=3
http://blog.okcupid.com/index.php/the-best-questions-for-first-dates/
Data
Big Data
SDSS       http://www.sdss.org/includes/sideimages/sm_sdss_pie2.jpg
Census of Marine Life                   http://comlmaps.org/oceanlifemap
http://www.flickr.com/photos/72427965@N00/3731550892/
http://www.flickr.com/photos/anders-vindegg/3369218571/
Code
http://www.flickr.com/photos/roidelapatate/4313265988/
http://ngrams.googlelabs.com/graph?content=science,+technology&year_start=1800&year_end=2000&corpus=0&smoothing=3
http://ngrams.googlelabs.com/graph?content=science,+technology&year_start=1800&year_end=2000&corpus=0&smoothing=3
http://www.sciencemag.org/content/331/6014/176.full#F1
Who does the work?
Data Science
Data ScienceEngineering                  Applied Math              John Rauser @ http://www.youtube.com/watch?v=0tuEEnL61HM
Ap  pli        ed             M              at                 h                                                   Writin...
Ap  pli        ed             M              at                 h                                                   Writin...
Data Science (#alt-ac?)
All hands on deck
Galaxy Zoo
http://www.oldweather.org/
http://menus.nypl.org
Galaxy Zoo
Epistemology
Epistemology          of Big Data?(Flip Kromer)
Screwmeneutics?http://www.playingwithhistory.com/wp-content/uploads/2010/04/hermeneutics.pdf
http://www.flickr.com/photos/amishsteve/98994505/
Trust
http://en.wikipedia.org/wiki/File:Library_of_Congress,_Rosenwald_4,_Bl._5r.jpg
Reproducibility
empirical falsifiability : methods                 ::hermeneutic inquiry : provenance
Citation
Our means of dissemination areout of sync with the methods of      scholarly production
http://www.sciencemag.org/content/331/6014/176.full#F1
A thought experiment:
A thought experiment:  What if we wrotescholarship like code?
Version Control
Tagged release
Bug Tracking
The very technology thatenables research at scale potentially enables new modes of dissemination
http://www.stodden.net/AMP2011/
http://en.wikipedia.org/wiki/File:Panopticon.jpg
Del Rigor en la Ciencia                         Jorge Luis Borges“En aquel Imperio, el Arte de la Cartografía logró tal Pe...
Discuss...
One more thing...
Research at Scale
Disaggregation ofscholarly materials
Flourishing of new channels / genres
Humanities : blogs                   ::   Social Sciences : SSRN (preprint)                   ::Sciences : PLoS ONE (rapid...
Addition of data and   code to pile
New macroscopicmethods of discovery,  assessing impact
Why (digital) humanities?
Data, Code, and Research at Scale
Data, Code, and Research at Scale
Data, Code, and Research at Scale
Data, Code, and Research at Scale
Data, Code, and Research at Scale
Data, Code, and Research at Scale
Data, Code, and Research at Scale
Data, Code, and Research at Scale
Data, Code, and Research at Scale
Data, Code, and Research at Scale
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Data, Code, and Research at Scale

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Data, Code, and Research at Scale

  1. 1. Data, Code, andResearch at Scale Josh Greenberg The Alfred P. Sloan Foundation greenberg@sloan.org @epistemographer
  2. 2. DisclaimerThese statements do not necessarily reflect thethoughts of the Alfred P. Sloan Foundation or my colleagues; they are mine alone.
  3. 3. Research at Scale
  4. 4. http://www.flickr.com/photos/ryanwick/3461850112/
  5. 5. http://www.flickr.com/photos/tncountryfan/5543540985/
  6. 6. Macroscope
  7. 7. http://pespmc1.vub.ac.be/macroscope/default.html
  8. 8. “My aim here is to inspire computer scientists toimplement software frameworks that empowerdomain scientists to assemble their own continuouslyevolving macroscopes, adding and upgrading existing(and removing obsolete) plug-ins to arrive at a setthat is truly relevant for their work” Katy Borner, “Plug and Play Macroscopes” http://cacm.acm.org/magazines/2011/3/105316-plug-and-play-macroscopes/fulltext
  9. 9. http://ngrams.googlelabs.com/graph?content=science,+technology&year_start=1800&year_end=2000&corpus=0&smoothing=3
  10. 10. http://blog.okcupid.com/index.php/the-best-questions-for-first-dates/
  11. 11. Data
  12. 12. Big Data
  13. 13. SDSS http://www.sdss.org/includes/sideimages/sm_sdss_pie2.jpg
  14. 14. Census of Marine Life http://comlmaps.org/oceanlifemap
  15. 15. http://www.flickr.com/photos/72427965@N00/3731550892/
  16. 16. http://www.flickr.com/photos/anders-vindegg/3369218571/
  17. 17. Code
  18. 18. http://www.flickr.com/photos/roidelapatate/4313265988/
  19. 19. http://ngrams.googlelabs.com/graph?content=science,+technology&year_start=1800&year_end=2000&corpus=0&smoothing=3
  20. 20. http://ngrams.googlelabs.com/graph?content=science,+technology&year_start=1800&year_end=2000&corpus=0&smoothing=3
  21. 21. http://www.sciencemag.org/content/331/6014/176.full#F1
  22. 22. Who does the work?
  23. 23. Data Science
  24. 24. Data ScienceEngineering Applied Math John Rauser @ http://www.youtube.com/watch?v=0tuEEnL61HM
  25. 25. Ap pli ed M at h Writing ri ng ee ginEn John Rauser @ http://www.youtube.com/watch?v=0tuEEnL61HM
  26. 26. Ap pli ed M at h Writing ri ng ee ginEn John Rauser @ http://www.youtube.com/watch?v=0tuEEnL61HM
  27. 27. Data Science (#alt-ac?)
  28. 28. All hands on deck
  29. 29. Galaxy Zoo
  30. 30. http://www.oldweather.org/
  31. 31. http://menus.nypl.org
  32. 32. Galaxy Zoo
  33. 33. Epistemology
  34. 34. Epistemology of Big Data?(Flip Kromer)
  35. 35. Screwmeneutics?http://www.playingwithhistory.com/wp-content/uploads/2010/04/hermeneutics.pdf
  36. 36. http://www.flickr.com/photos/amishsteve/98994505/
  37. 37. Trust
  38. 38. http://en.wikipedia.org/wiki/File:Library_of_Congress,_Rosenwald_4,_Bl._5r.jpg
  39. 39. Reproducibility
  40. 40. empirical falsifiability : methods ::hermeneutic inquiry : provenance
  41. 41. Citation
  42. 42. Our means of dissemination areout of sync with the methods of scholarly production
  43. 43. http://www.sciencemag.org/content/331/6014/176.full#F1
  44. 44. A thought experiment:
  45. 45. A thought experiment: What if we wrotescholarship like code?
  46. 46. Version Control
  47. 47. Tagged release
  48. 48. Bug Tracking
  49. 49. The very technology thatenables research at scale potentially enables new modes of dissemination
  50. 50. http://www.stodden.net/AMP2011/
  51. 51. http://en.wikipedia.org/wiki/File:Panopticon.jpg
  52. 52. Del Rigor en la Ciencia Jorge Luis Borges“En aquel Imperio, el Arte de la Cartografía logró tal Perfecciónque el Mapa de una sola Provincia ocupaba toda una Ciudad, y elMapa del Imperio, toda una Provincia. Con el tiempo, estos MapasDesmesurados no satisficieron y los Colegios de Cartógrafoslevantaron un Mapa del Imperio, que tenía el Tamaño del Imperio ycoincidía puntualmente con él. Menos Adictas al Estudio de laCartografía, las Generaciones Siguientes entendieron que esedilatado Mapa era Inútil y no sin Impiedad lo entregaron a lasInclemencias del Sol y los Inviernos. En los Desiertos del Oesteperduran despedazadas Ruinas del Mapa, habitadas por Animales ypor Mendigos; en todo el País no hay otra reliquia de las DisciplinasGeográficas.“Suárez Miranda: Viajes de varones prudentes,libro cuarto, cap. XLV, Lérida, 1658.” via http://elmundoenverso.blogspot.com/2007/12/del-rigor-en-la-ciencia-jorge-lus.html
  53. 53. Discuss...
  54. 54. One more thing...
  55. 55. Research at Scale
  56. 56. Disaggregation ofscholarly materials
  57. 57. Flourishing of new channels / genres
  58. 58. Humanities : blogs :: Social Sciences : SSRN (preprint) ::Sciences : PLoS ONE (rapid publication)
  59. 59. Addition of data and code to pile
  60. 60. New macroscopicmethods of discovery, assessing impact
  61. 61. Why (digital) humanities?

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