Theme of the Conference

Digital Humanities Evolving: Past, Present, and Future


While the debates over the definition, landscape, and scale of digital humanities continue, digital humanists seem to have a consensus that digital humanities are constantly evolving and facing new challenges. Take big data as an example. Technologies automatically and instantly archive what people say, what people do, and even what people think. The rich information provided by big data leads humanities research to a new frontier that can hardly be imagined by classical humanists. However, the self-archived data contain real, virtual, and even fake contents. How shall digital archivists and digital humanists embrace big data and big data analytics? Alternatively, will the ubiquitous digitization transform human culture and make “digital humanities” simply become “humanities”?

Digitalization involves computing. Digital humanists share the same tools with computational social scientists to extract information, to analyze social network, and to perform geospatial analysis. Digital humanists have also attempted to apply the tools of computational social sciences to model and simulate the complex human experiences. In the meanwhile, computational social scientists are exploring sentiment modeling. When the research tools and topics of interest become common, how far can digital humanists and social scientists collaborate to gain deeper insights into common research problems and cope with shared challenges?

Continuing the legacy of the past 7 annual conferences of DADH, we welcome the submissions of paper or poster abstracts and panel proposals related to, but not limited to, the aforementioned issues, digital technologies and applications, interdisciplinary research in humanities and social sciences with the use of digital data, theoretical and epistemological considerations in digital humanities, digital humanities education, digital arts and music, digital infrastructure, cultural heritage, and internet analysis.





























© AI-ECON Research Center, National Chengchi University. NO.64, Sec.2, ZhiNan Rd., Wenshan District, Taipei City 11605, Taiwan(R.O.C).