Epj Data Science

Journal Title：Epj Data Science

EPJ Data Science covers a broad range of research areas and applications and particularly encourages contributions from techno-socio-economic systems, where it comprises those research lines that now regard the digital “tracks” of human beings as first-order objects for scientific investigation. Topics include, but are not limited to, human behavior, social interaction (including animal societies), economic and financial systems, management and business networks, socio-technical infrastructure, health and environmental systems, the science of science, as well as general risk and crisis scenario forecasting up to and including policy advice.

EPJ 数据科学涵盖了广泛的研究领域和应用，尤其鼓励来自技术-社会-经济系统的贡献，这些系统包括那些现在将人类的数字“轨迹”视为科学研究的首要对象的研究方向。主题包括但不限于人类行为、社会互动（包括动物社会）、经济和金融系统、管理和商业网络、社会技术基础设施、健康和环境系统、科学科学以及一般风险和危机情景预测，包括政策建议。

Epj Data Science创刊于2012年，由Springer Berlin Heidelberg出版商出版，收稿方向涵盖MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 全领域，此刊是该细分领域中属于非常不错的SCI期刊，在行业细分领域中学术影响力较大，专业度认可很高，所以对原创文章要求创新性较高，如果您的文章质量很高，可以尝试。平均审稿速度 13 Weeks ，影响因子指数3，该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。