Current Visitors:

Big Data Intelligence Group on SmartCity (BIGSCity)

The Big Data Intelligence Group on SmartCity research group in Beihang University. BIGSCity aims to study data-driven science and technologies of making cities more smart and intelligence. The research interests of BIGSCity include urban computing, spatio-temporal data mining, interpretable machine learning, and data visualization. BIGSCity has published more than 30 paper in prestigious conferences and journals in data mining, artificial intelligence and network communications. The technologies developed by BIGSCity have been applied in many real-world applications such as urban planning, intelligent transportation and health services. Tens of millions of populations living in Beijing, Tianjin, Shenzhen, Wuxi, and Chengdu were benefited from these technologies.

News: Our COVID19 epidemic prediction work is shown on


News: FCS Special Column on Smart Cities and Urban Computing is online!

0407新型冠状病毒的疫情评估与预测报告-北京航空航天大学 .pdf
Adobe Acrobat Document 2.0 MB
Global COVID-19 Epidemic Evaluation and Prediction-Apr.7, 2020
This report utilizes the global COVID-19 epidemic data fromMar.31, 2020 toApr.6, 2020 to model and predict the epidemic development in mainly affected countries. We set Apr.7 as day 0, to forecast the epidemic development from day 1 to day 10. This report contains:
1) For Hongkong, Taiwan: the prediction of confirmed and actual infection cases of COVID-19 in the next 10 days.
2) For Japan, Italy, Iran, France, America, Germany, Spain, Sweden, Netherland, Belgium UK and Russia: the prediction of confirmed and actual infection cases of COVID-19 in the next 10 days, the time and value when daily confirmed cases and remaining confirmed cases reached their peaks.
0407Global COVID-19 epidemic evaluation
Adobe Acrobat Document 1.5 MB

Webpage:  Access for more information about global and China COVID-19 pandemic prediction.

Data Download:  The data of global  COVID-19 pandemic prediction can download from Github:

The influences of temperature and humidity on COVID-19 transmission risks.

Read this paper for more information about this work:

J. Wang, K. Tang, K. Feng, and W. Lv, “High temperature and high humidity reduce the transmission of COVID-19”Available at SSRN 3551767, 2020, SSRN