studying the history of creativity with digital data and tools by julia noordegraaf, university of...

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Julia Noordegraaf

Studying the History of Creativity with Digital Data and Tools

Digital Heritage

Preservation

KIEM Archiving Interactive Media

New Approaches to the Conservation of Contemporary Art (NACCA)

H2020Marie Curie ITN

Reuse: eHumanities

Creative Amsterdam (UvA, ACHI)

KIEM Data-driven Film History

CLARIAH

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Today:

1. Research practices in Media Studies2. Data-driven research3. Potential and pitfalls4. Recommendations

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1. RESEARCH PRACTICES IN MEDIA STUDIES

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Media Studies

Content, history, effects mass media

Critical theory Small scale Interpretative methods

(hermeneutics) Critical historical analysis

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Digitization

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2. DATA-DRIVEN RESEARCH

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Two domains:

1. “Textual” analysis of media content 2. Socio-economic historical research on production,

distribution, consumption

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Distant “reading"

Cinemetrics analysis of Casablanca (1942), Yuri Tsivian (UChicago)

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Visualization of all face close-ups in Vertov’s The Eleventh Year (1928), Austrian Film Archive/Lev Manovich (CUNY)

Context Analysis

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Cinemas in Rome 1950s, Italian Cinema Audiences project AHRC (Daniela Treveri, Oxford Brookes)

Popularity of Asta Nielsen films in NL, Ansje van Beusekom, UU (2013)

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Data-driven Film History

Mapping Desmet Colour analysis early film programmes

Giovanna Fossati (EYE/UvA), Jasmijn van Gorp (UU), Christian Olesen, Eef Masson, Julia Noordegraaf (UvA), Disepctu, Hiro

Cinema Parisien 3D

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Julia Noordegraaf, Loes Opgenhaffen, Norbert Bakker (UvA, CREATE)

Cinema Parisien 3D

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3. POTENTIAL AND PITFALLS

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Potential

Increase scope (geographical, temporal) Increase complexity (multiple dimensions) Test assumptions Discover unexpected patterns

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Pitfalls

Lack of comprehensive datasets Limited interoperability Lack of access to AV & contextual sources Knowledge on computing & statistical methods Lack of transparency data and tools

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4. RECOMMENDATIONS

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Recommendations

Improve access (e.g., CLARIAH) Collaborate to develop standards for data Educate and train researchers:

Theoretical approach Method Sources Means of analysis, interpretation, visualization

Distinguish research from creative use Improve transparency data and tools

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CREATE 19Torget et al. Mapping Texts White Paper (2011)

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