Special Issue on Women in AI
Published 20 April, 2021
On 8 March 2020, Tsinghua University and the Beijing Academy of Artificial Intelligence jointly published Women in AI 2000, listing the world’s leading female scholars in the field of AI and acknowledging their outstanding contributions. Their work is an inspiration to the AI research community at large and an encouragement to women in science in general.
This special issue on Women in AI by AI Open, is devoted to gathering and presenting reviews, cutting-edge research and application studies by active female scholars or early career female researchers. We want to provide a platform where female scholars can share recent observations and achievements in machine learning, data mining, computer vision, natural language processing and many other AI-related subjects.
While we explicitly encourage female researchers to submit papers, manuscripts authored by other colleagues are also welcome.
Submission Instructions:
Papers submitted to this special issue must be original and may not be under consideration for publication in any other journal. All papers are subject to rigid peer review. Extended works must have a significant proportion of new and original ideas/contributions to the field and contain at least 30% new material.
We will consider research papers that present original results and developments (maximum length 9 pages), reviews that survey recent advances about representative topics (maximum length 20 pages), and short articles that briefly introduce your recent achievements or summarise advances and challenges in a field (maximum length 4 pages).
Please read the Guide for Authors before submitting your article. All articles should be submitted online; please select SI: Women in AI during the submission process.
Guest Editors:
- Managing Guest Editor: Dr. Jing Zhang, Renmin University of China, China. Email: zhang-jing@ruc.edu.cn
- Dr. Hao Ma, Facebook, USA. Email: haom@fb.com
- Dr. Juanzi Li, Tsinghua University, China. Email: lijuanzi@tsinghua.edu.cn
- Dr. Xuanjing Huang, Fudan University, China. Email: xjhuang@fudan.edu.cn