创刊背景
Background
《Economics and Data Science》
经济学的发展史，是一部其与数据处理技术交织前行的历史。从计量经济学确立统计推断的基石，到实验革命推动因果识别的前沿，方法论的精进始终是驱动学科深化的重要引擎。当下，我们正处于一个由数据科学所定义的转折点。海量非结构化数据与复杂计算模型，不仅构成了新的经验基础，更对传统研究范式提出了拓展与重构的内在要求。
The history of economics is one intertwined with the progression of data processing technologies. From the establishment of statistical inference as a cornerstone of econometrics to the advancement of causal identification driven by the experimental revolution, methodological refinement has consistently served as a vital engine for the discipline's deepening. Today, we find ourselves at a turning point defined by data science. Massive unstructured datasets and complex computational models not only constitute a new empirical foundation but also impose inherent demands for the expansion and restructuring of traditional research paradigms.
在此背景下，经济学与数据科学的交汇，已超越了单向的技术应用。它预示着一次研究范式的创造性融合——经济学深邃的理论框架与因果追问，将为数据科学提供根本性的问题导向与价值内核；而后者强大的预测与模式识别能力，则为经济学开启了探索复杂系统、检验核心假说的全新视域。
Against this backdrop, the convergence of economics and data science transcends mere unidirectional technical application. It heralds a creative integration of research paradigms—economics, with its profound theoretical frameworks and causal inquiry, will provide data science with fundamental problem orientation and a core of value, while the latter's powerful predictive and pattern recognition capabilities will open up new horizons for economics to explore complex systems and test core hypotheses.
《Economics and Data Science》在此共识下应运而生。本刊旨在构建一个严谨的学术平台，积极推动这场对话，致力于发表能够引领这一融合进程的奠基性成果。
Economics and Data Science emerges from this consensus. The journal aims to establish a rigorous academic platform that actively advances this dialogue, dedicated to publishing foundational work capable of guiding this integrative process.
创刊宣言
扎根理论深度，引领方法创新，驱动范式融合。
Grounding Theoretical Depth, Leading Methodological Innovation, Driving Paradigm Integration.
办刊宗旨
🔘 支持经济学各领域的实质性创新
Supporting Substantive Innovation Across Economics
我们致力于推动经济学所有分支领域的理论发展与实证突破。我们尤其重视那些能够为数据科学提供关键灵感或开辟潜在合作空间的经济学研究。
We are committed to advancing theoretical development and empirical breakthroughs in all fields of economics. We place particular value on economic research that offers key inspirations to data science or opens up potential avenues for collaboration.
🔘 引领数据科学驱动的范式融合
Leading Data Science-Driven Paradigm Integration
我们积极构建经济学与数据科学的双向对话与深度交叉。一方面，我们鼓励运用数据科学技术破解经济学长期面临的实证难题；另一方面，我们同样欢迎受经济学理论与问题启发而产生的原创性计算方法。
We actively foster a two-way dialogue and deep integration between economics and data science. On one hand, we encourage the use of data science techniques to address long-standing empirical challenges in economics. On the other hand, we equally welcome novel computational methods that are motivated by economic theory and problem-solving.
🔘 培育开放严谨的学术共同体
Cultivating an Open and Rigorous Academic Community
我们立志成为全球学者探讨经济学、数据科学及其交叉前沿的首选论坛。我们将通过严格的跨学科同行评审、高效的出版流程和即时的开放获取，确保重要思想与成果的广泛传播，并积极组织学术活动，培育一个包容、活跃且严谨的学术共同体。
We aspire to become the premier forum for global scholars to discuss economics, data science, and their cutting-edge intersections. Through rigorous cross-disciplinary peer review, an efficient publication process, and immediate open access, we ensure the wide dissemination of important ideas and findings. Furthermore, by actively organizing academic events, we are dedicated to nurturing an inclusive, vibrant, and rigorous scholarly community.
投稿方向
1. 微观经济理论与行为经济学
2. 宏观经济理论与政策分析
3. 计量经济理论与方法创新
4. 发展经济学与制度分析
5. 金融经济学与资产定价
1.机器学习与因果推断
2. 自然语言处理与文本分析
3. 网络科学与复杂系统
4. 贝叶斯方法与统计计算
5.数据隐私与算法公平性
1. 大数据与宏观经济预测
2. 数字经济与平台经济研究
3. 环境与能源经济学
4. 社会网络与经济行为分析
5. 计算社会科学与仿真模拟
1.经济政策评估与优化
2. 金融科技与监管创新
3. 健康与教育政策评估
4. 劳动市场与社会保障
5. 城市与区域发展研究
I. Economic Theory and Methodology
Microeconomic Theory and Behavioral Economics
Macroeconomic Theory and Policy Analysis
Econometric Theory and Methodological Innovation
Development Economics and Institutional Analysis
Financial Economics and Asset Pricing
II. Data Science Techniques
Machine Learning and Causal Inference
Natural Language Processing and Textual Analysis
Network Science and Complex Systems
Bayesian Methods and Statistical Computing
Data Privacy and Algorithmic Fairness
III. Interdisciplinary Innovations and Applications
Big Data and Macroeconomic Forecasting
Digital Economy and Platform Economics
Environmental and Energy Economics
Social Networks and the Analysis of Economic Behavior
Computational Social Science and Simulation Modeling
IV. Policy and Applied Research
Economic Policy Evaluation and Optimization
FinTech and Regulatory Innovation
Health and Education Policy Evaluation
Labor Markets and Social Security
Urban and Regional Development Studies
收稿类型与字数要求
为全面推动本领域发展，本刊接收以下类型的稿件：
1. 研究论文：呈现完整、深入的原创性研究成果。字数：约8,000 - 12,000英文单词。
2. 短文：展示具有高度创新性的初步发现、新方法或具有重要启发性的评论。字数：约3,000 - 5,000英文单词。
3. 综述与展望：对某一新兴或快速发展领域进行系统性总结、批判性评价并展望未来方向。字数：约10,000英文单词以内。
注：以上字数包含摘要、正文、图表及参考文献。投稿邮箱：editorialoffice@innoviair.cn 投稿网址：https://www.innoviair.cn
To comprehensively advance the field, the journal invites submissions of the following types:
1.Research Articles: Present complete and in-depth original research findings.
Length: Approximately 8,000 – 12,000 words.
2.Short Articles: Feature highly innovative preliminary results, novel methodologies, or thought-provoking commentaries.
Length: Approximately 3,000 – 5,000 words.
3.Review and Perspective Articles: Provide systematic synthesis, critical assessment, and forward-looking insights into an emerging or rapidly evolving field.
Length: Up to 10,000 words.
Note: The specified word counts include the abstract, main text, figures, tables, and references. All submissions must adhere to the journal's formatting template. Authors are strongly encouraged to share the code and data used to generate their results.
