This year, the Nordic Conference on Computational Linguistics (NoDaLiDa) took place from 22-24th May in Gothenburg, Sweden. The 21st edition of NoDaLiDa was also the 40th anniversary of the conference which was celebrated by 184 participants from all over the world.
Since October 2015 I have been in contact with Prof. Oliver Deussen, who since 2010 has been developing the e-David, a robotic Drawing Apparatus for Vivid Interactive Display, at the University of Konstanz. Subsequent to the first encounter at the Massachusetts Institute of Technology (MIT), I visited Prof. Deussen and his team at their lab in Konstanz, to continue to discuss and re-evaluate the potential use of the robot from an artistic and creative perspective.
Can you imagine the social connections people had at the beginning of the 20th century? They had their family and a strong connection to neighbors. Most probably friends were living in the same village or in the next town. You could have painted a bubble for each person you knew on one sheet of paper and even would have had room enough to put the name in the middle – a network easy to analyze. One century later we are dealing with huge networks that allow us to model and study many real world phenomena since they are capable of representing pairwise relations between the items of interest. Arlind Nocajs’ graduate thesis “Untangling Networks: Focus on Less to See More” emphasizes certain aspects using various visualization techniques and graph drawing methods.
It is daily business for researchers across all disciplines to search for, read, and structure scientific publications. Over the years, they become experts in a specific area, having an overview of hundreds of publications within this domain. To share their knowledge, they eventually publish a literature overview in form of state of the art report or part of a book or thesis. These overview publications structure and aggregate the literature on a high level of abstraction. However, they do not yet provide an interactively explorable list of publications leveraging the detailed knowledge of the authors.