Berne, Vendredi, 21 Mars 2015 | CDT-TGK MISA-FIAG

Synopsis

  • Gelegenheit auf die Forme anstatt den Ideen zu fokussieren
  • Wissensweitergabe
  • "e-Humanities"
  • Mein Kochrezept (vegetarisch)

Outline

Problem

Was ist Wissenschaft

Wissenschaftsforschung

e-Humanities

Meine Arbeitsweise

Vor- und Nachteile

Epilog

Motivation

  • Mein seltsamer Weg weniger seltsam zu machen
  • Wichtigkeit für unsere Curricula

Wissenschaft schreiben

Research Pipeline

ResearchPipeline
D'après und idée de R. Peng

Research Pipeline

Research Pipeline

Was ist eine Doktorarbeit?

The illustrated guide to a Ph.D. from Matt Might

Imagine a circle that contains all of human knowledge:

PhDKnowledge.001
Image and text : Matt Might | CC BY-NC 2.5

By the time you finish elementary school, you know a little:

PhDKnowledge.002
Image and text : Matt Might | CC BY-NC 2.5

By the time you finish high school, you know a bit more:

PhDKnowledge.003
Image and text : Matt Might | CC BY-NC 2.5

With a bachelor's degree, you gain a specialty:

PhDKnowledge.004
Image and text : Matt Might | CC BY-NC 2.5

A master's degree deepens that specialty:

PhDKnowledge.005
Image and text : Matt Might | CC BY-NC 2.5

Reading research papers takes you to the edge of human knowledge:

PhDKnowledge.006
Image and text : Matt Might | CC BY-NC 2.5

Once you're at the boundary, you focus:

PhDKnowledge.007
Image and text : Matt Might | CC BY-NC 2.5

You push at the boundary for a few years:

PhDKnowledge.008
Image and text : Matt Might | CC BY-NC 2.5

Until one day, the boundary gives way:

PhDKnowledge.009
Image and text : Matt Might | CC BY-NC 2.5

And, that dent you've made is called a Ph.D.:

PhDKnowledge.010
Image and text : Matt Might | CC BY-NC 2.5

Of course, the world looks different to you now:

PhDKnowledge.011
Image and text : Matt Might | CC BY-NC 2.5

So, don't forget the bigger picture:

PhDKnowledge.012
Image and text : Matt Might | CC BY-NC 2.5

Keep pushing.

Wissenschaftsforschung

Wissenschaftsproduktion

  • Bruno Latour "Science in Action" (1987): Produktion von Fakten

  • Wie wählen ForscherInnen aus, was sie lesen und zitieren?

  • « We often forget that scientific knowledge is reliable not because scientists are more clever, objective or honest than other people, but because their claims are exposed to criticism and replication.» [Fanelli 2013]

ResearchPipeline

Workflow: Makrosprache

WorkflowNSt.png

« Dé-livrance » (Un-bound)?

  • Vinck, D. & Clivaz, C. Les humanités délivrées. Savoir et culture réinventés hors du livre, Revue d'anthropologie des connaissances, 2014, 8.4, 681-704
Quenet2008-Couv
Bild Brepols

Vor- und Nachteile

Leere Archive füllen

EmptyArchive.png
Bryn, N. Empty archives, Nature, 2009, 461, 160-163

Basis für andere: der Code

data <- read.csv2("data.csv")
hist(data$length,
     main="Histogramme",
     xlab="longueur en cm",
     ylab="Fréquence"
     )

Summary

  • Wissenschaft ist lebendig: Zukunftperspektive in eHumanities
  • Dosierung zwischen alt und neu
  • Viele Sachen werden nicht (gleich) anerkannt …

Colophon

Publishing and Pushing

KansaWorkflow
Kansa, E. C.; Kansa, S. W. & Arbuckle, B. Publishing and Pushing: Mixing Models for Communicating Research Data in Archaeology, International Journal of Digital Curation, 2014, 9.1, 57-70

GIS-Tablette-Dens.png
### Plot Tablette cunéiforme 
############################
## Select the data
subspdf <-
  spdf[spdf$Objet=="Tablette",]

subspdf@data <- 
  droplevels(subspdf@data)

DensPA   <- 
  density(unmark(
    sSp[sSp$marks$Objet
        %in% c("Tablette") & 
                       
sSp$marks$Datation %in%
  c("PA")]), 
adjust = 0.1)
...