Data Research & Ontology – a Transdiciplinary Discussion.
October 22nd – 26th, 2018 in Lausanne (Switzerland)
The objective of this course is to offer the opportunity, for young researchers at EPFL, at other Swiss universities and from abroad, to develop a deep understanding of data across research fields. We gather Swiss and International lecturers engaged in qualitative, quantitative and computational approaches, and have them discuss their view on data production, collection, analysis and sharing. Additionally, we want to provide the chance for an interdisciplinary discussion of how the new era of big data might invite us to revise our methods and provide new research possibilities across disciplines. We believe this interdisciplinary format would greatly benefit young researchers with a holistic view on data in and beyond contemporary research practices. Participants will be exposed to new epistemic movements (big data, bottom-up social theory) and state-of-the-art practices dealing with diverse kinds of data. Working in trans-disciplinary teams, and benefiting from the guidance of our distinguished keynote speakers, they will refine the conceptual framework of their individual research projects and sharpen the relevance of their research questions.
This bock course on data ontology is registered within two doctoral programs at EPFL (Architecture and Sciences of the City and Digital Humanities), and funded primarily by Swissuniversities.
Data think! will take place during 5 full days and is awarded 2 ECTS credits by the EDAR program from EPFL.
The call for registration is now closed.
In order to register, please send us your CV and a brief research statement (max 250 words) indicating the types of data you work with ( i.e.:archival data and drawings, economic flow or demographic data, visual and pictorial material, biological or medical records, surface heat flow measurements, literary texts, etc) and the methods used to deal with them. Please, send your documents to: email@example.com