Journals
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Applied Artificial Intelligence Research
(AAIR) is an international journal focusing on cutting-edge research and innovative practices in the field of artificial intelligence. It is committed to providing a high-end academic exchange platform for scholars, researchers, and industry experts worldwide, promoting the continuous development of artificial intelligence theories and technologies, and accelerating their in-depth integration and wide application in multiple fields.
This journal focuses on the core research directions of artificial intelligence, covering multiple fields such as machine learning, deep learning, natural language processing, computer vision, robotics, intelligent systems, data mining, and knowledge graphs. It welcomes both breakthrough achievements in basic theoretical research and innovative practical explorations with important application value. By publishing high-quality original research papers, review articles, case studies, and technical reports, it comprehensively showcases the latest developments and trends in the field of artificial intelligence.
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Economics and Data Science
The history of economics is a history of its intertwined development with data processing technologies. From the establishment of statistical inference as the cornerstone by econometrics to the advancement of causal identification at the forefront driven by the experimental revolution, the refinement of methodologies has always been an important engine propelling the deepening of the discipline. Currently, we are at a turning point defined by data science. Massive amounts of unstructured data and complex computational models not only form a new empirical foundation but also inherently demand the expansion and reconstruction of traditional research paradigms.
Against this backdrop, the intersection of economics and data science has transcended one-way technological application. It heralds a creative integration of research paradigms—economics' profound theoretical frameworks and inquiries into causality will provide data science with fundamental problem orientation and value core; while the latter's strong predictive and pattern recognition capabilities will open up a brand-new horizon for economics to explore complex systems and test core hypotheses.
"Economics and Data Science" emerges under this consensus. This journal aims to build a rigorous academic platform, actively promote this dialogue, and dedicate itself to publishing foundational achievements that can lead this integration process.
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Nature Ecology Research
Nature Ecology Research is committed to becoming a core hub connecting the global frontier of ecological research with real-world challenges. Focusing on major original breakthroughs and in-depth interdisciplinary endeavors in the field of ecology, the journal adheres to the mission of "deciphering ecological mechanisms, addressing global challenges, and underpinning a sustainable future". It spans multi-dimensional research scales from molecules to the biosphere, integrates the research context of basic theories and applied practices, and provides a high-end platform for the global ecological community to showcase top-tier achievements and foster the collision of academic ideas. As a journal in the ecological field, it upholds the principle of editorial independence, selects research outcomes with both scientific value and social impact based on rigorous standards, and contributes to advancing ecology into a core supporting discipline for solving global environmental issues.
(Under preparation, please stay tuned)
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The Scalpel Journal
"The Scalpel Journal", with its unique name, demonstrates the pursuit of in-depth analysis and precise insights in the medical field. It is committed to opening a new chapter in medical academia and practice, and injecting new vitality into the development of the global medical cause. (In preparation, please stay tuned)
