Dear corpora-list,
We would like to draw your attention to the Thematic Track "AI in
Digital Humanities, Computational Social Sciences and Economics
Research (AI-HuSo)", which will take place at FedCSIS 2024 in Belgrade
from September 8-11, 2024.
The event aims to bring together research from various disciplines in
the humanities, social sciences and economics, focusing on the use of
computational methods, machine learning and AI.
Further information on the topics and the deadlines can be found here:
https://2024.fedcsis.org/thematic/ai-huso
Contact: [email protected]
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AI in Digital Humanities, Computational Social Sciences and Economics
Research (AI‑HuSo)
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Belgrade, Serbia, 8–11 September, 2024
This thematic track is dedicated to the computational study of Social
Sciences, Economics and Humanities, including all subjects like, for
example, education, labour market, history, religious studies,
theology, cultural heritage, and informative predictions for
decision-making and behavioural-science perspectives. While digital
methods and AI have been emerging topics in these fields for several
decades, this thematic track is not only limited to discoveries in
these domains, but also dedicated to the reflections of these methods
and results within the field of computer science. Thus, we are in
particular interested in interdisciplinary exchange and dissemination
with a clear focus on computational and AI methods.
Since there is a clear methodological overlap between these three
domains and often similar algorithms and AI approaches are considered,
we see this thematic track as place for interdisciplinary learning,
discussing a joint toolbox as a support for scholars from these field
with human and context-aware agents.
The aim of this thematic track is thus to bridge the gap between
scientific domains, foster interdisciplinary exchange and discuss how
research questions from other domains challenge current computer
science. In particular, we are interested in communications between
researchers from different fields of computer science, social
sciences, economics, humanities, and practitioners from different
fields.
Topics
The list of topics includes, but is not limited to:
- AI and computational approaches for the interdisciplinary work of
the social sciences, economics, and humanities: report on theoretical,
methodological, experimental, and applied research.
- AI and computational approaches for linking data from different
digital resources, including online social networks, web and data
mining, Knowledge Graphs, Ontologies.
- AI and computational methods for text mining and textual
analysis, for example texts within social sciences, digital literary
studies, computational stylistics and stylometry.
- Text encoding, computational linguistics, annotation guidelines,
OCR for humanities, economics, and social sciences.
- Network analysis, including social and historical network analysis.
While we encourage submissions from a broad background, every year we
also encourage submissions to two special topics. In 2024 these will be:
- Ethical and philosophical considerations of AI in society and research.
- Sociological challenges for AI in society, e.g., labour market,
education or media.
In general, the applications of interest are included in the list
below, but are not limited to:
- Labour market research and qualification, including
behavioral-science perspectives.
- Education: Digital methods and systems, e-learning, adult education, etc.
- Contributions to the application of technology to culture,
history, and societal issues: For example, computational text
analysis, analytical and visualization, databases, etc.
- In particular, we welcome submissions which focus on a critical
reflection of digital methods in the humanities, economics and social
sciences within computer science.
- Linking of digital resources, a discussion of data sets, their
quality and reliability, combining quantitative and qualitative data,
anonymization and data protection.
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