{"id":446,"date":"2017-04-07T15:05:52","date_gmt":"2017-04-07T15:05:52","guid":{"rendered":"http:\/\/uahost.uantwerpen.be\/platformdh\/?post_type=tribe_events&p=446"},"modified":"2019-10-09T10:43:58","modified_gmt":"2019-10-09T10:43:58","slug":"antwerp-spring-academy-in-dh-2015","status":"publish","type":"tribe_events","link":"https:\/\/platformdh.uantwerpen.be\/index.php\/event\/antwerp-spring-academy-in-dh-2015\/","title":{"rendered":"Antwerp Spring Academy in DH 2015"},"content":{"rendered":"

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Data Visualisation<\/h2>\n

This three-day workshop will take place from 10 to 12 June 2015 \u00a0at the University of Antwerp<\/a>, Belgium, following the DHBenelux 2015 conference<\/a> hosted at the same location. It offers the perfect opportunity for the conference\u2019s participants (and other interested scholars) to learn how to visualize their data in interesting new ways.<\/p>\n

The workshop will be taught by the developers of NodeBox<\/a>, a data visualization tool created by the Experimental Media Research Group (EMRG)<\/a>. EMRG is a cross domain research group associated with the St. Lucas University College of Arts and Design<\/a> \u00a0(Antwerp, Belgium). During the works\u00adhop, partici\u00adpants will learn \u00a0how to cap\u00adture, prepare, refine and visualize their data; gain insights in the theory of data visualisation; and start to look at data in a dif\u00adferent way.<\/p>\n

The course is limited to 20 participants, who will work on their own data in groups of two. No previous program\u00adming experience is required. To make the course run as smoothly as possible, interested scholars are required to submit their application together with a partner scholar, and to bring their own data set to use during the work\u00adshop.<\/p>\n

Since places for the workshop are limited (i.e. we can only accommodate 10 pairs of scholars), a first selection of applicants will be made on the basis of the quality of their applications. Still, early registration is highly recommended.<\/p>\n

Examples of suitable datasets include (but are not limited to): linguistic corpora, literary texts, historical documents, geographical data, and numerical data sets. Please bring your data in easily accessible formats such as plain text files, XML, CSV (comma-separated values), or spreadsheet files.<\/p>\n

Call for Applications<\/h3>\n