Conveners
Social Sciences, Arts & Humanities
- Brent Seales (University of Kentucky)
Description
Disciplines across the Social Sciences, Arts and Humanities (SSAH) have critically engaged with technological innovations such as grid- and cloud computing, and, most recently, various data analytic technologies. The increasing availability of data, ranging from social media text data to consumer big data has led to an increasing interest in analysis methods such as natural language processing, multilingualism and (semi-)automatic AI-powered translations, social network analysis, usage data analysis, machine learning and text mining, and data sharing. These developments pose challenges as well as opening up a world of opportunities. Members of the SSAH community have been at the forefront of discussions about the impact that novel forms of data, novel computational infrastructures and novel analytical methods have for the pursuit of science endeavours and our understanding of what science is and can be.
The ISGC 2025 SSAH track invites papers and presentations covering applications demonstrating the opportunities of new technologies or critically engaging with their methodological implications in the Social Sciences, Arts and Humanities. Innovative application of analytical tools or international data space for survey and usage data, social media data, and government (open) data are welcomed. We also invite contributions that critically reflect on the following subjects: (1) the impact that ubiquitous and mobile access to information and communication technologies have for society more generally, especially around topics such as smart cities, civic engagement, and digital journalism; (2) philosophical and methodological reflections on the development of the techniques and the approaches by which data scientists use to pursue knowledge.
This talk will discuss the technical challenge of using virtual unwrapping as a technique to restore damaged film negatives from more than a century ago. The technique is applied to film going all the way back to the early photographic explorations of Etienne Marney and Muybridge, whose photographic work determined that a galloping horse has all its hooves off the ground at one time at a...
In the field of Social Sciences, Arts and Humanities (SSAH), researchers have started to explore the possibilities of machine-learning techniques in several directions. With the current and imminent generations of open-source Large Language Models (LLMs) it seems already attainable for individual researchers to speed up onerous but necessary tasks on personal computers, while keeping control...
This study examines the challenges of maintaining emotional support for families in the changing social structure anticipated in 2040. New challenges are posed to traditional family roles in providing emotional connections. Changes in family structure, including an increase in single-person households and diverse family types, may increase the distance between members and complicate the...
