1st International Workshop on AI in Digital Humanities, Computational
Social Sciences and Economics Research (AI‑HuSo’23)
Warsaw, Poland, 17–20 September, 2023
https://fedcsis.org/sessions/itbs/ai-huso
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This workshop 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 behavioral-science perspectives. While digital
methods and AI have been emerging topics in these fields for several
decades, this workshop 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 workshop as place for interdisciplinary learning,
discussing a joint toolbox as a support for scholars from these field
with human and context-aware agents. This workshop also comprises a
symposium on research towards a trustworthy data infrastructure
housing both quantitative and qualitative data.
The aim of this workshop 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 approaches for the interdisciplinary work of the social sciences,
economics, and humanities: report on theoretical, methodological,
experimental, and applied research.
- AI for linking data from different digital resources, including
online social networks, web and data mining, Knowledge Graphs,
Ontologies.
- AI 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.
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.
Submission rules
- Authors should submit their papers as Postscript, PDF or MSWord files.
- The total length of a paper should not exceed 10 pages IEEE style
(including tables, figures and references). IEEE style templates are
available here.
- Papers will be refereed and accepted on the basis of their
scientific merit and relevance to the workshop.
- Preprints containing accepted papers will be published on a USB
memory stick provided to the FedCSIS participants.
- Only papers presented at the conference will be published in
Conference Proceedings and submitted for inclusion in the IEEE Xplore®
database.
- Conference proceedings will be published in a volume with ISBN, ISSN
and DOI numbers and posted at the conference WWW site.
- Conference proceedings will be submitted for indexation according to
information here.
- Organizers reserve right to move accepted papers between FedCSIS
technical sessions.
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