nodegoat Workshop at the Text Encoding Initiative Conference in Lyon 26-10-2015

CORE Admin

Cheveux © Marie-Jeanne Gauthé, via http://tei2015.huma-num.fr/en/.

During this year's Text Encoding Initiative Conference in Lyon, from 26 to 31 October 2015, we will host a nodegoat workshop. The workshop will last a full day and will take place on 26 October. Register here.

In this workshop we will support participants to employ explorative visualisations based on their own TEI data by means of nodegoat. A good example of how nodegoat can be used to create, manage, visualise, analyse and present structured data is the project on romantic nationalism by Joep Leerssen of the University of Amsterdam. The public interface of this collaborative research project can be consulted via http://romanticnationalism.net, or read more about it in the brochure (PDF).[....]

Continue readingComment

nodegoat Workshop at the Historical Network Conference in Lisbon on 16-9-2015

CORE Admin

nodegoat workshop at the eighth HNR workshop Vom Text zum Netzwerk und zurück. Über die Wechselwirkungen im historischen Forschungsprozess 5/6 April 2014.

During this year's Historical Network Research conference in Lisbon 15-18 September, we will host a nodegoat workshop. The title of this workshop is: Conceptualise and Set Up a Historical Network Research Workflow. We will focus on conceptualising a data model for your own research question and explore the possibilities of storing your data structurually and creating interactive space/time visualisations. The workshop will last a full day and will take place on 16 September.

As nodegoat is a web-based data modeling and management tool that is equiped with functionalities to produce time-aware network analytics and visualisations, it is well suited for historical network analysis.[....]

Continue readingComment

Mapping Memory Landscapes in nodegoat, the Indonesian killings of 1965-66

CORE Admin

nodegoat is developed as a collaborative research environment that supports participatory research projects. To test its ability to combine various participatory roles with its ability to digest complex and heterogeneous data, we spent two weeks in Semarang, Indonesia working with a group of students to reveal an infrastructure of violence. These students interviewed survivors of state-sanctioned violence and entered the information they gathered directly into nodegoat. Based on these interviews, the students visited a number of sites and interviewed people who lived or worked on these sites. As the data came from personal accounts only, the visualisations that are produced in nodegoat can be characterised as memory landscapes. In this blog post we will describe both the process and the methodology of this project.

The Dutch Institute for War, Holocaust and Genocide Studies (NIOD) has set up a cooperation with the Universitas Katolik Soegijapranata (UNIKA) in Semarang, Indonesia that aims to address the anti-communist/leftist violence of 1965-66 in Semarang and the following years. The project that has emerged from this cooperation, ‘Memory Landscapes and the Regime Change of 1965-66 in Semarang’, is led by dr. Martijn Eickhoff (NIOD) and has resulted in two workshops at the UNIKA University in Semarang organised by Donny Danardono. The first workshop took place in January 2013, the second workshop was held in June 2014. During these two workshops students from UNIKA collected data on anti-communist/leftist violence by combining oral history and anthropological site research. The data includes relations between people as well as locations connected to the events of 1965 and the following years (e.g. places of mob violence, temporary detention, interrogation, torture, murder and mass burial).  [....]

Continue readingComment

Geographic visualisation of biographies of scholars. Tobias Winnerling (Heinrich-Heine-Universität Düsseldorf), project: "Wer Wissen schafft. Gelehrter Nachruhm und Vergessenheit 1700 – 2015".

Social Network Graph of the network around Dutch engineer Cornelis Meijer. Project: "Mapping Notes and Nodes in Networks".