Focusing on the philosophical, ethical, and governance issues of contemporary cutting-edge emerging technologies. These include (but are not limited to): Ethics and Governance of Synthetic Biology, Ethics and Governance of Biomedical Big Data, Ethics and Governance of AI, Ethics and Governance of AI + BT, General Philosophy of Science (Logical PE), Specific Philosophy of Science (Quantum Physics Philosophy or AI Logic Philosophy), Foundations of Philosophy of Science(Modal Logic Philosophy or Probability Theory), Traditional Chinese Philosophy of Science (Dialectical Logic).
Focusing on the foundational theories of language cognition and the innovative practices of language intelligence engineering, the institute explores the mechanisms of human mind and brain, enhancing the ability of large language models to simulate human language capabilities. This involves interdisciplinary research across linguistics, psychology, neuroscience, and computational science, with an emphasis on integrating brain informatics and AI technologies to conduct interdisciplinary studies that bridge the humanities, sciences, engineering, and medicine. These include (but are not limited to): Cognitive Science of Language, Language Data Science, Intelligent Language Technologies, Language Data Mining。
Focusing on the innovation of mathematical modeling and econometric empirical methods for economic systems, the institute examines market behavior, policy effects, and the dynamic evolution mechanisms of complex economic systems, promoting the deep integration of economic theory with real-world issues. Supported by mathematical tools, statistical inference, and computational science, it studies the scientific paradigms of economic equilibrium, risk prediction, and policy optimization, strengthening the interdisciplinary integration of economics with mathematics, computer science, data science, and policy science. The research spans multiple dimensions, including the analysis of microeconomic mechanisms, the deduction of macroeconomic dynamics, quantitative modeling of financial risks, and the construction of digital economy theories, emphasizing the use of big data technology, machine learning algorithms, and high-performance computing to conduct interdisciplinary explorations that bridge“economic-mathematics”,“economic-engineering”and“economic-policy". These include (but are not limited to): Econometric Theory, Models and Business Statistics, Game Theory and Mechanism Design, Financial Mathematics and Asset Pricing, Theory of Digital Economy, Applications of Big Data and Machine Learning in Econometrics, Panel Data and Spatial Econometric Analysis, Causal Inference and Policy Evaluation, Financial Econometrics and Risk Management, Macroeconomic Modeling and Dynamic Analysis.
Focusing on the profound impacts of big data, AI and virtual reality technologies on social structures, national governance, cultural dissemination, democratization processes and global governance. This involves interdisciplinary research across political science, management, sociology, computer science, and other fields, exploring the effects of emerging information technologies on politics, society, and culture, as well as conducting frontier investigations in related areas. These include (but are not limited to): Digital Technology and Social Structure, AI and Social Change, Big Data and National Governance, Information Technology and Cultural Change, Information Technology and Global Governance.