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期刊简介
- EPJ Data Science《EPJ数据科学》（年刊）. 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.
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基本信息
- 期刊名称：EPJ Data Science《EPJ数据科学》
- 主管单位：《EPJ数据科学》
- 主办单位：EPJ DATA SCI
- 国内刊号：
- 国际刊号：ISSN 2193-1127；EISSN 2193-1127
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- 出刊日期：http://www.springeronline.com
- 期刊定价：0
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- 邮发代码：2区
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- 所在省区：德国
- 邮政编码：
- 联系地址：SPRINGER , ONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, United States, NY, 10004
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- 版面费用：0
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- 字数要求：0
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- 复合因子：0
- 综合因子：0
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- 审 稿 费：否
- 稿费：否
- 本刊可发：0
- 特殊属性：英语
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- 投稿网址：https://www.editorialmanager.com/epds
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