1. 1 1 VENICE TIME MACHINE FREDERIC KAPLAN DIGITAL HUMANITIES LABORATORY

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5. 5 Digital Humanities are inventing new tools to travel not only in space, but also through time.

6. 6 Can we build “Google maps” of the past ?

7. 7 Can we build “Facebooks” of the past ?

8. 8 Can we build time machines ?

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12. 12 The Venice Time Machine is a joint project between EPFL and University of Venice Ca’Foscari.

13. 13 Why Venice ?

14. 14 80 km of archives documenting every detail of Venetian history over a 1000 years.

15. 15 Who lived in this palazzo in 1323 ? How much cost a sea bream at the Rialto market in 1434 ? What was the salary of a Murano glass worker in 1544 ?

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27. 27 900

28. 28 1000

29. 29 1100

30. 30 1200

31. 31 1300

32. 32 1400

33. 33 1500

34. 34 1600

35. 35 1700

36. 36 When can I take a boat if I am in Corfu in June 1323 and what to go to Constantinopoli ? How much will it cost ? What are the risks of encountering pirates ?

37. 37 Scientific and technological challenges

38. 38 We can digitize this archive in 10 years with traditional scanning techniques (450 volumes / day)

39. 39 We are working on new scanning techniques to reach 2000 vol. / day.

40. 40 Traditional optical character recognition methods have only limited success in transcribing handwritten documents.

41. 41 The solution is to use precise computational linguistic models of medieval Latin and other ancient languages.

42. 42 The central scientific challenge of the project is qualifying, quantifying and representing uncertainty and inconsistancy at each step of this process.

43. 43 This implies not only to model historical information, but to model each step of the construction of historical knowledge.

44. 44 Our system is based on the notion of “fictional space” (e.g. coherent data coming from a given source, interpreted in a given way)

45. 45 The crucial moment is when you merge two “fictional spaces” to create a larger data- set.

46. 46 Our system does not guaranty that you do this fusion in the right manner but document precisely how you do it, enabling to undo the operation if needed.

47. 47 It also signals inconsistencies between two “fictional spaces” and permits to implement rules to solve them.

48. 48 Nevertheless, it does not guaranty the convergence towards a single model of the past.

49. 49 We will not reconstruct the Venice of the past but build a machine for reconstructing all the possible Venices corresponding to different sources and interpretations.

50. 50 We can

51. 51 We can

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55. 55 Research in the Humanities is about to undergo an evolution similar to what happened to life sciences 30 years ago.

56. 56 This evolution is characterized by projects at a new scale, beyond what any single research team can do.

57. 57 We must foster a new generation of young scientists, through dedicated doctoral, master and bachelor programs.

58. 58 “Digital Humanists” capable of reconstructing Big Data of the past and exploring Big Data of the present.

59. 59 dhlab.epfl.ch frederic.kaplan@epfl.ch @frederickaplan