- Thesis outline: Difference between revisions

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''' Chapter. Past and current work''' (2000) <br><br>
''' Past and current work''' (2000) <br><br>


'''Chapter: Relation to other practitioners, writers (2000)''' <br>
'''Chapter: Relation to other practitioners, writers (2000)''' <br>

Revision as of 12:39, 26 October 2017

Introduction (500 words)

In the first year of Piet Zwart I have been looking at LGBT related topics. I mostly did so from a personal subjective perspective in photography, and by looking into queer cinema. In the presentation of the second term I made clear that I wanted to be make a statement with my work, be more political. Three strands of thought could be considered in my practice. Researching the photographic medium, but also the idea of 'seeing' in itself, making the (gay) cinematic language my own, and LGBT issues/identity. In the thesis I would like to investigate the above mentioned lines of thought and by doing so reflecting on my own practice and methodology. I will do this by first looking at my past and current work, then I will look at the broader context of my work, how it relates to other practitioners/writers, and finally make a conclusion/reflection on the before mentioned chapters.



Past and current work (2000)

Chapter: Relation to other practitioners, writers (2000)
If one thing matters everything matters.

Conclusion (1000 words)


Bibliography (not complete)
Graham, G. (2010), The Gay State

Photography:
Silverman, K. (2015), The miracle of analogy, Stanford University press

About Tillmans:
Dercon, C, Sainsbury, H, & Tillmans, H. (2017), Wolfgang Tillmans 2017, Tate publishing (catalogue of the tate exhibition)
Le Feuvre, L. (2007), Searching for Doubt, Foam magazine #13 searching, winter 2007
Tillmans, W. (2012), Neue Welt, Taschen
Shimizu, M. (2005), Wolfgang Tillmans: The Art of Equivalence (from the book, Wolfgang Tillmans truth study center), Taschen

Silverman, K. (1992), Male Subjectivity at the Margins, Routledge


Face:
https://www.economist.com/news/leaders/21728617-life-age-facial-recognition-what-machines-can-tell-your-face