The 10th Int'l Conference on Statistics and Data Science(SDS 2027)

Memo

The 10th Int'l Conference on Statistics and Data Science(SDS 2027) Website：https://www.academicx.org/SDS/2027/ Date：May 28-30, 2027 Venue：Kunming, China Publication: a peer-reviewed open access journal Index: CNKI  Scholar Reviewing period: 5-7 working days   The 10th International Conference on Statistics and Data Science (SDS 2027) will be held during May 28-30, 2027 in Kunming, China. You are invited to submit papers and participate in our academic exchange.   Attendance Methods Regular Attendance ( No Submission Required ) You're also welcome to attend our conference (without submitting full paper or abstract). Abstract submission Submit abstract ( Regular Attendance + Abstract + Presentation ) You are welcome to submit abstract for oral presentation or poster presentation. 3. Full Paper submission Submit full paper ( Regular Attendance + Paper Publication + Presentation ) You are invited to submit papers and participate in our academic exchange. One author will be invited to make an oral presentation and the paper will be published by peer-reviewed open access journal and submitted to CNKI  Scholar for indexing.   Publication and Presentation Publication: All the accepted papers will be published by a peer-reviewed open access journal that can ensure the widest dissemination of your published work Index: CNKI  Scholar Note: 1. If you want to present your research results but do NOT wish to publish a paper, you may simply submit an Abstract. 2.The simple Abstract submission should include the title, contents, keywords, authors names, affiliations and emails. The length is suggested to be controlled within 1 page and no more than 2 pages. 3.The full length of one paper is suggested to be about 15 pages (within the template format with all tables, figures and references). If your paper is over 20 pages, you will be kindly requested to pay for extra pages fees. You will receive the review results within 5-7working days after submission. If you do not get any notification within the time limit, please contact us as soon as possible. You are welcome to submit papers in Chinese and please contact us for more details.   Contact  Us Email: This email address is being protected from spambots. You need JavaScript enabled to view it.: +8618672346485Tel: +86 13296503784  (From Monday to Friday)QQ: 1349406763WeChat: 13296503784 / 3025797047Twitter: ConfPriii59781Official Account: Academic Communications   Topics: The conference is soliciting state-of-the-art research papers in the following areas of interest: Causal Inference and Causal Machine Learning Federated Learning & Privacy Explainable AI (XAI) Bayesian Deep Learning High-Dimensional Statistics Time Series & Forecasting Nonparametric Methods Geometric Data Science Robust Statistics Network Science Natural Language Processing Spatial Statistics Reinforcement Learning Data Integration and Multi-Modal Data Analysis Reproducibility & Ethics AutoML & Efficiency Anomaly Detection Sports Analytics Climate Statistics Open Problems Other Related Topics