About the Journal
The history of economics is a history of its intertwined development with data processing technologies. From the establishment of statistical inference as the cornerstone of econometrics to the advancement of causal identification driven by the experimental revolution, the refinement of methodologies has always been a crucial 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, with its profound theoretical frameworks and pursuit of causality, will provide data science with fundamental problem orientation and a core of value; while the latter, with its 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" 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.
Founding Declaration
Rooted in theoretical depth, leading methodological innovation, and driving paradigm integration.
Aims and Objectives
1. Supporting substantive innovation in various fields of economics
We are committed to advancing theoretical development and empirical breakthroughs in all subfields of economics. We particularly value economic research that can provide key inspiration for data science or open up potential cooperation spaces.
2. Leading paradigm integration driven by data science
We actively foster two-way dialogue and in-depth interdisciplinary integration between economics and data science. On the one hand, we encourage the use of data science technologies to solve long-standing empirical challenges in economics; on the other hand, we also welcome original computational methods inspired by economic theories and problems.
3. Cultivating an open and rigorous academic community
We aspire to become the premier forum for global scholars to discuss economics, data science, and their interdisciplinary frontiers. Through rigorous interdisciplinary peer review, efficient publishing processes, and immediate open access, we will ensure the wide dissemination of important ideas and achievements, and actively organize academic activities to cultivate an inclusive, active, and rigorous academic community.
Submission Directions:
1. Economic Theories and Methods
1. Microeconomic theory and behavioral economics
2. Macroeconomic theory and policy analysis
3. Econometric theory and methodological innovation
4. Development economics and institutional analysis
5. Financial economics and asset pricing
2. Data Science Technologies
6. Machine learning and causal inference
7. Natural language processing and text analysis
8. Network science and complex systems
9. Bayesian methods and statistical computing
10. Data privacy and algorithmic fairness
3. Innovative Applications in Interdisciplinary Fields
11. Big data and macroeconomic forecasting
12. Digital economy and platform economy research
13. Environmental and energy economics
14. Social networks and economic behavior analysis
15. Computational social science and simulation
4. Policy and Practice Research
16. Economic policy evaluation and optimization
17. Fintech and regulatory innovation
18. Health and education policy evaluation
19. Labor markets and social security
20. Urban and regional development research
Types of Manuscripts Accepted and Word Count Requirements
To comprehensively promote the development of this field, the journal accepts the following types of manuscripts:
1. Research Papers: Present complete and in-depth original research results. Word count: Approximately 8,000 - 12,000 English words.
2. Short Articles: Showcase highly innovative preliminary findings, new methods, or important insightful comments. Word count: Approximately 3,000 - 5,000 English words.
3. Reviews and Perspectives: Provide a systematic summary, critical evaluation, and future outlook of an emerging or rapidly developing field. Word count: Within approximately 10,000 English words.
Note: The above word counts include abstracts, main text, figures, tables, and references. All manuscripts must follow the journal's formatting template, and authors are encouraged to share the code and data used to generate the results.
