Dr Clarisse Bardiot appointed Research Fellow in the UTD ArtSciLab Experimental Publishing Initiative

Colleagues

I am pleased to announce that

Dr Clarisse Bardiot appointed Research Fellow in the UTD ArtSciLab Experimental Publishing Initiative:

Inferring collaboration networks and models from the corpus of Leonardo Journal articles.

Clarisse Bardiot is a researcher, publisher and curator, who has been
working in the fields of digital performances history, digital humanities,
documentation and preservation of time based media art works, and digital
publishing.

After her PhD on Digital Performances (Les Theatres virtuels,
2005, Sorbonne-Nouvelle/CNRS), Clarisse Bardiot became an associate
professor at the Valenciennes University (France) in 2006. In 2005, she was
granted the scholar-in-residence bursary awarded by the Daniel Langlois
Foundation in Montreal for a research project on 9 Evenings, Theatre &
Engineering. Then, she contributed to the international DOCAM project on
Documentation and Conservation of the Media Arts Heritage. In 2009 à 2010
she coordinated two European projects. In 2011, she founded Subjectile, a
publishing company dealing with printed and digital books. In 2015, she was
granted the financial support of MESHS to develop a network on the arts in
the field of digital humanities (DORRA-DH). She was elected on the
coordination committee of Humanistica. In 2016, she was selected to
contribute to the « culture analytics » long program at UCLA/IPAM. Since
2012, she has received many grants to develop Rekall, an open source
environment to analyse, document and preserve time based media art.

> www.clarissebardiot.info
> www.rekall.fr
> www.subjectile.com

Inferring collaboration networks and models from the corpus of Leonardo Journal articles

Further to her interest and analysis on artists and engineers collaboration in 9 evenings: Theatre and Engineering, and in the context of the « Culture analytics » long program at UCLA/IPAM, Clarisse Bardiot gathered 10 people coming from the humanities, applied mathematics and computer science to work on the analysis of the Leonardo Journal. Using different methodologies  (metadata extraction, social network analysis, data mining, images analysis, topic modeling…) applied to the Leonardo Journal dataset, would it be possible to infer models of art/science/technology – artists/scientists/engineers collaborations? Leonardo Journal has now been published for 50 years and is ranked the 4th art journal in google scholar. Over 15,000 artists, scientists, engineers and scholars have been authors on Leonardo Journal articles.