As AI evolves beyond a purely engineering discipline and begins to shape knowledge production across diverse fields, new research perspectives are emerging throughout academia.
The AI × Digital Humanities Database (AIDH) brings together 2,000 significant studies from 16 countries across Asia, Europe, and North America, offering interdisciplinary researchers a more comprehensive gateway to AI scholarship. Unlike conventional AI databases that focus primarily on technological development, AIDH emphasizes how AI is transforming the ways knowledge is created, information circulates, and social structures evolve. It places particular importance on Asian perspectives and cross-cultural contexts.
Asian Perspectives and Cross-Cultural Contexts
Among the 2,000 articles included in AIDH, 65% originate from Asian academic communities, encompassing diverse research contexts in Taiwan, Japan, South Korea, Malaysia, India, Indonesia, and beyond. This enables researchers to look beyond dominant Euro-American narratives of AI and explore how Asian societies engage with issues such as platform governance, digital democracy, algorithmic culture, social media, and knowledge dissemination.
Multilingual Search and Cross-Language Research
By integrating AI-powered multilingual translation and search capabilities, AIDH supports cross-language scholarly exploration. Researchers can simultaneously access studies from different Asian countries, overcoming language barriers and enhancing the efficiency of cross-cultural and interdisciplinary research.
From AI Technology to the Study of Knowledge and Society
AIDH extends well beyond technical AI research. Its coverage includes:
- AI and digital journalism and communication
- Social media and platform society
- Political communication and digital democracy
- Educational technology and AI-assisted learning
- Digital culture and historical studies
- Library and information science, and knowledge organization
- Generative AI and cultural production
This makes AIDH particularly valuable for interdisciplinary scholarship in information science, communication studies, library and information science, education, sociology, and digital humanities.
Lumen: Academic AI Search for Deeper Exploration
Integrated with the Lumen AI intelligent discovery system, users can ask questions in natural language and quickly obtain research summaries, cited references, and directions for further exploration.
Unlike general-purpose generative AI tools, Lumen places strong emphasis on source transparency and intellectual context. Every citation can be traced back to its original publication, enabling researchers to verify evidence and understand the broader scholarly conversation. At the same time, Lumen helps users uncover hidden connections and unexpected insights within the century-spanning journals of UDP’s Taiwan Academic Classics (TAC), guiding researchers beyond immediate answers toward the discovery of new and meaningful research questions.
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