1st International Workshop on Big Data in Culture, Design and Heritage
The workshop will address applications of Big Data in digital culture, design, and heritage. The conceptual premise of the workshop is based on an emerging and increasingly significant field of interdisciplinary inquiry popularly known as Digital Humanities, which examines use and application of digital technologies in humanities, the liberal arts, social science scholarship, and beyond. However, while the use of computational tools in social science and humanities work is not very new, the availability of a large body of cultural artifacts after the digital turn, as well as emergence of new kinds of digital objects and embodiments, has opened up several possibilities for social science and humanities research, practice and pedagogy using computational approaches. This workshop aims to capture this emerging moment and focus on one unavoidable aspect of ‘digital’ research in culture, design, and heritage: Big Data. As is commonly understood, the nature of ‘bigness’ in Big Data is not one of size, but because of its nature as networked data, often exemplified by intricate systems of rich information from heterogeneous data sources such as Social Networks, Digital Libraries, and Multimedia Collections and Archives, etc. which influence and often enhance users’ experience. The workshop aims to highlight challenges and opportunities that such large scale multimodal data analytics brings to the community in these areas. The workshop will bring together researchers from the qualitative and quantitative domains on a common platform and facilitate in answering key interdisciplinary research questions.
The workshop aims to explore this ‘networking’ of Big Data by focusing on the following key niche areas:
- Processing and interpreting large datasets
- Relationships between these datasets, communities, collective discourses, and software resources
- Representation and visualization of big data in terms of abstraction, immersive user experience, intelligent multimodal interactions, and language
Relevant topics include (but are not restricted to):
- Acquisition, Representation, Processing, and Display of Heritage Data
- AI for Digital Culture and Heritage
- Big cultural datasets
- Big data and archival practice
- Bringing culture alive through AR/VR
- Multimodal Cultural Data Analytics
- Digital Cultures – Past and present
- Digital Epistemologies and Methods
- Digital Heritage (Preservation, Conservation, Restoration, Recreation)
- Ethics of Big Data
- Social media analysis, including sentiment analysis
- Text- and data-mining of historical and archival material