Data as a term is too flat an ontology for the kinds of things that we are all dealing with, argues Sally Wyatt in this keynote lecture. It reduces people, events, objects to things, bits, to be imagined as impersonal, scientific and neutral. Also, she contends, the use of the word 'data' tends to assume that everything is digital. In this keynote, she explains her argument that this is wrong and asks: 'what are we talking about when we talk about data in the humanities?'
Many academic disciplines use data science to analyze contemporary culture. The question posed by Lev Manovich in this lecture is: shall we continue to aggregate big cultural data and reduce it to a small set of patterns? Or shall we refuse this dominant paradigm instead and focus on diversity, variability and differences (including tiny ones), i.e., work on big cultural data without aggregation and with attention to what is infrequent and outliers?
In this lecture, Jon Tennant argues that 'Open Science' is 'good science', because it promotes transparency, reproducibility, and public good. However, he argues, researchers are not rewarded for doing good science. Tennant asks: 'how can we all work together to kick-start a new culture of open scientific practices, without putting our best and brightest at risk? How do we want people in the future to see this pivotal time in the history of science?' He challenges the audience to answer the question: 'which side do you want to be on?'
Mikko Tolonen was the first keynote speaker at the DARIAH Annual Event 2016. His talk was entitled 'Applying modern data analytics to classical questions in the humanities: a perspective from Finland'. It drew attention to the benefits of interdisciplinarity and effective communication between 'centred' disciplines for research in the digital humanities
The DARIAH Winter School 'Open Data Citation for Social Sciences and Humanities' brought together researchers, professionals with various backgrounds, and students from 15 countries. In total 38 people met in Prague, Czech Republic, to learn about various aspects of open access and open data, as well as many other subjects on digital research.
This module is dedicated to developing research questions in the Digital Humanities (DH), especially on finding, working with, and contributing data to digital collections and using digital Research Infrastructures (RIs).
This course brings together established and emerging scholars from different parts of the world, fields and disciplines, theoretical and methodological traditions, who demonstrate the diversity of Digital Humanities by critically approaching schools of thought, methods, tools, standards, projects, and teaching practices in a series of videos.
This video features Laura Mandell, Professor of English and Director of the Initiative for Digital Humanities, Media, and Culture a Texas A&M University. Laura defines feminism from a Digital Humanities perspective arguing for a need to adjust practices so that they are not replicating the sexist infrastructure of the traditional academy and business world.
This video features Geoffrey Rockwell, Professor of Philosophy and Humanities Computing at the University of Alberta, Canada and Stéfan Sinclair, Associate Professor of Digital Humanities at McGill University. Their discussion involves text visualisation within Digital Humanities, thus emphasising, that visualisation is not the end product, but an intellectual process of thinking and interpreting text.