EPJ Data Science

期刊简介：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.

【译文】EPJ数据科学涵盖了广泛的研究领域和应用，特别鼓励来自技术-社会-经济系统的贡献，其中它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科研线路。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。