社会计算，时空大数据，公共卫生应急管理

社会计算（Social Computing）是指利用计算机和互联网等技术手段，结合社会学、心理学、人机交互、数据挖掘、机器学习、网络科学等多个学科领域的理论和方法，对大规模社会系统和复杂社会现象进行建模、仿真、数据分析和预测的研究领域。

随着计算机、互联网、移动智能终端、社交网络等技术的快速发展，随着数字社会、智慧社会成为国家中长期发展的核心目标之一，社会计算逐渐成为了一个横跨文理工的新兴交叉学科领域，被广泛应用于社会网络分析、网络舆情、计算传播、应急管理、公众健康、在线社区和众包等方面，具有广阔的发展和应用前景。

本科研团队是国际上开创社会计算这一多学科交叉领域研究的先驱和主要贡献者之一，在我国最早建立了社会计算硕博培养专业方向，创立了社会计算与社会智能专委会，组织了我国首届社会计算研讨会（2008年），举办了首届国际社会计算大会（2009年）。

欢迎有志青年加入社会计算研究团队！

0811J2-社会计算
0812J2-社会计算

社会计算
时空大数据
公共卫生应急管理

2005-09--2008-07   中国科学院地理科学与资源研究所   博士
2002-09--2005-07   长沙理工大学   硕士
1997-09--2001-07   长沙理工大学   学士

研究生

理学博士

2020-11~现在, 中国科学院自动化研究所, 研究员
2011-11~2020-10,中国科学院自动化研究所, 副研究员
2010-05~2011-10,中国科学院自动化研究所, 助理研究员
2008-07~2010-04,中国科学院自动化研究所, 博士后

2021-10-01-2022-03-02,北京市2022年冬奥会和冬残奥会疫情防控专家组, 专家组专家
2021-01-01-今,中国计算机学会, 高级会员
2020-10-01-今,中国人工智能学会社会计算与社会智能专委会, 委员
2020-02-04-今,新冠肺炎疫情联防联控机制科研攻关组信息化专班, 专家组成员
2020-01-01-2025-12-31,中国医学救援协会公共卫生分会, 常务理事
2019-08-01-今,中国指挥与控制学会大数据与工程专业委员会, 委员
2019-03-01-2023-12-31,中国仿真学会人工社会专委会, 委员
2018-01-01-2021-12-31,中国地理学会地理信息分析委员会, 委员

中国科学院大学人工智能前沿课程
大数据管理与应用
健康大数据：方法及应用

（1） 北京市科学技术进步奖, 二等奖, 省级, 2022
（2） 中国测绘学会科学技术奖特等奖, 特等奖, 部委级, 2021
（3） 中国仿真学会自然科学一等奖, 一等奖, 部委级, 2018
（4） 中国人民解放军科学技术奖, 二等奖, 部委级, 2017
（5） 中国人民解放军科学技术奖, 一等奖, 部委级, 2015
（6） 中国自动化学会科学技术奖, 一等奖, 部委级, 2013
（7） 中国人民解放军科学技术奖, 二等奖, 部委级, 2012
（8） 北京市科学技术进步奖, 三等奖, 省级, 2011
（9） 中国人民解放军科学技术奖, 二等奖, 部委级, 2011
（10） 中华预防医学会科学技术奖, 三等奖, 部委级, 2011

【2023】

J. Zhou, S. Lee, X. Wang, Y. Li, W. K. K. Wu, T. Liu, Z. Cao, D. D. Zeng, K. S. K. Leung, A. K. C. Wai, I. C. K. Wong, B. M. Y. Cheung, Q. Zhang, and G. Tse, "Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong," npj Digital Medicine, vol. 4, no. 1, p. 66, 2021/04/08 2021, doi: 10.1038/s41746-021-00433-4.

Y. Ye, Q. Zhang, Z. Cao, F. Y. Chen, H. Yan, H. E. Stanley, and D. D. Zeng, "Impacts of Export Restrictions on the Global Personal Protective Equipment Trade Network During COVID‐19," Advanced Theory and Simulations, vol. 5, no. 4, p. 2100352, 2022.

P. Zhao, S. Li, P. J. H. Hu, C. Gu, S. Lu, S. Ding, Z. Cao, D. Xie, and Y. Xiang, "Blockchain-Based Water-Energy Transactive Management With Spatial-Temporal Uncertainties," IEEE Transactions on Smart Grid, vol. 14, no. 4, pp. 2903-2920, 2023, doi: 10.1109/TSG.2022.3230693

 

【2022】

Luo T, Cao Z*, Zeng D, Zhang Q. A dissemination model based on psychological theories in complex social networks. IEEE Transactions on Cognitive and Developmental Systems. 2022, vol. 14, no. 2, pp. 519-531.

T. Luo, J. Wang, Q. Wang, X. Wang, P. Zhao, D. D. Zeng, Q. Zhang, and Z. Cao*, "Reconstruction of the Transmission Chain of COVID-19 Outbreak in Beijing's Xinfadi Market, China," International Journal of Infectious Diseases, vol. 116, pp. 411-417, 2022/03/01/ 2022, doi: https://doi.org/10.1016/j.ijid.2022.01.035.

Luo, T., Cao, Z*., Wang, Y., Zeng, D.D., & Zhang, Q. Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model. IEEE Transactions on Automation Science and Engineering. 2022, vol. 19, no. 2, pp. 576-585.

P. Zhao, S. Li, P. J.-H. Hu, Z. Cao, C. Gu, X. Yan, D. Huo, and I. Hernando-Gil, "Two-Stage Co-Optimization for Utility-Social Systems With Social-Aware P2P Trading," IEEE Transactions on Computational Social Systems, 2022.

P. Zhao, C. Gu, Z. Cao, and S. Li, "Integrated Energy System: A Low‐Carbon Future Enabler," The 4Ds of Energy Transition: Decarbonization, Decentralization, Decreasing Use and Digitalization, pp. 207-238, 2022.

P. Zhao, S. Li, P. J. H. Hu, Z. Cao, C. Gu, D. Xie, and D. D. Zeng, "Coordinated Cyber Security Enhancement for Grid-Transportation Systems With Social Engagement," IEEE Transactions on Emerging Topics in Computational Intelligence, pp. 1-15, 2022, doi: 10.1109/TETCI.2022.3209306.

P. Zhao, S. Li, P. J. H. Hu, C. Gu, Z. Cao, and Y. Xiang, "Managing Water-Energy-Carbon Nexus for Urban Areas with Ambiguous Moment Information," IEEE Transactions on Power Systems, pp. 1-14, 2022, doi: 10.1109/TPWRS.2022.3214189.

L. Liu, Z. Cao*, P. Zhao, P. J. -H. Hu, D. D. Zeng and Y. Luo, "A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media," in IEEE Transactions on Computational Social Systems, 2022. doi: 10.1109/TCSS.2022.3145404.

Ye, Y., Zhang, QP., Wei, X., Cao, ZD.,Yuan, HY., Zeng, DD."Equitable access to COVID-19 vaccines makes a life-saving difference to all countries," Nature Human Behaviour, vol. 6, no. 2, pp. 207-216, 2022/02/01 2022, doi: 10.1038/s41562-022-01289-8.

Y. Ye, Q. Zhang, X. Wei, Z. Cao, H.-Y. Yuan, and D. D. Zeng, "Equitable access to COVID-19 vaccines makes a life-saving difference to all countries," Nature Human Behaviour, vol. 6, no. 2, pp. 207-216, doi: 10.1038/s41562-022-01289-8.

Zhou, J. , Lee, S. , Liu, Y. , Liu, T. , Cao, Z. , Zeng, D.D. , Leung, K.S.K. , Wai, A.K.C. , Wong, I.C.K. , Cheung, B.M.Y. , Zhang, Q. & Tse, G. Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. npj Digital Medicine, 2022,5(1). DOI10.1038/s41746-022-00586-w.

P. Zhao, Z. Cao*, D. D. Zeng, C. Gu, Z. Wang, Y. Xiang, M. Qadrdan, X. Chen, X. Yan, and S. Li, "Cyber-Resilient Multi-Energy Management for Complex Systems," IEEE Transactions on Industrial Informatics, vol. 18, no. 3, pp. 2144-2159, 2022, doi: 10.1109/TII.2021.3097760.

Y. Wang,  D. Zeng,  Q. Zhang,  P. Zhao, X. Wang, Q. Wang, Z. Cao*., "Adaptively temporal graph convolution model for epidemic prediction of multiple age groups," Fundamental Research, 2021.

T. Luo, Z. Cao, Y. Wang, D. D. Zeng, and Q. Zhang, "Role of asymptomatic COVID-19 cases in viral transmission: Findings from a hierarchical community contact network model1," Cold Spring Harbor Laboratory Press, 2020.

Q. Zhang, J. Gao, J. T. Wu, Z. Cao, and D. D. Zeng, "Data science approaches to confronting the COVID-19 pandemic: a narrative review," Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 380, no. 2214, p. 20210127, 2022/01/10 2022, doi: 10.1098/rsta.2021.0127.

Y. Yang, Z. Cao*, P. Zhao, D. D. Zeng, Q. Zhang, and Y. Luo, "Constructing public health evidence knowledge graph for decision-making support from COVID-19 literature of modelling study," Journal of Safety Science and Resilience, vol. 2, no. 3, p. 11, 2021.

 

【2021】

Wang Y, Cao Z*, Zeng DD, Zhang Q, Luo T. The collective wisdom in the COVID-19 research: Comparison and synthesis of epidemiological parameter estimates in preprints and peer-reviewed articles. International Journal of Infectious Diseases. 2021;104:1-6.

Zhao P, Gu C, Cao Z*, Xie D, Teng F, Li J, et al. A Cyber-Secured Operation for Water-Energy Nexus. IEEE Transactions on Power Systems. 2021, 36(4): 3105-3117.

Yang, Y., Cao, Z. *, Zhao, P., Zeng, D., Zhang, Q., & Luo, Y. Constructing public health evidence knowledge graph for decision-making support from COVID-19 literature of modelling study. Journal of Safety Science and Resilience, 2021.2, 146 - 156.

S. Tan, S. Lai, F. Fang, Z. Cao, B. Sai, B. Song, B. Dai, S. Guo, C. Liu, M. Cai, T. Wang, M. Wang, J. Li, S. Chen, S. Qin, J. R. Floyd, Z. Cao, J. Tan, X. Sun, T. Zhou, W. Zhang, A. J. Tatem, P. Holme, X. Chen, and X. Lu, "Mobility in China, 2020: a tale of four phases, National science review,  2021.

Y. Ye, Q. Zhang, Z. Cao, F. Y. Chen, H. Yan, H. E. Stanley, and D. D. Zeng, "Impacts of Export Restrictions on the Global Personal Protective Equipment Trade Network During COVID-19," Advanced Theory And Simulations, 2021.

H. Zhou, Q. Zhang, Z. Cao, H. Huang, and D. Dajun Zeng, "Sustainable targeted interventions to mitigate the COVID-19 pandemic: A big data-driven modeling study in Hong Kong," Chaos, vol. 31, Oct 2021.

Q. Zhang, J. Gao, J. T. Wu, Z. Cao, and D. D. Zeng, "Data science approaches to confronting the COVID-19 pandemic: a narrative review," Philosophical Transactions Of the Royal Society a-Mathematical Physical And Engineering Sciences, vol. 380, Jan 10 2022.

Yang, J.N., Tang, K., Cao, Z. D., Pfeiffer, D. U., Zhao, K., Zhang, Q. P., Zeng, D. D. Demand-driven spreading patterns of African swine fever in China. Chaos. 2021: 31(6).DOI 10.1063/5.0053601 .

Yang, J. , Zhang, Q. , Cao, Z. , Gao, J. , Pfeiffer, D. , Zhong, L. & Zeng, D.D.. The impact of non-pharmaceutical interventions on the prevention and control of COVID-19 in New York City. Chaos. 2021, 31(2). DOI:10.1063/5.0040560

Zhou J, Tse G, Lee S, Liu T, Cao Z, Zeng DD, et al. Interaction effects between angiotensin-converting enzyme inhibitors or angiotensin receptor blockers and steroid or antiviral therapies in COVID-19: A population-based study. J Med Virol. 2021;93(5):2635-41.

Ye, Y. , Zhang, Q. , Cao, Z. & Zeng, D.D.. Optimal vaccination program for two infectious diseases with cross immunity spreading on a network. EPL (Europhysics Letters). 2021, 133. 46001 - (featured as Highlights) doi:10.1209/0295-5075/133/46001

Liu, J. , Tse, G. , Lee, S. , Liu, T. , Cao, Z. , Zeng, D.D. , Leung, K.S.K. , Wai, A.K.C. , Wong, I.C.K. , Cheung, B.M.Y. & Zhang, Q. Interaction Effects Between Angiotensin-Converting Enzyme Inhibitors or Angiotensin Receptor Blockers and Steroid or Anti-viral Therapies in COVID-19: A Population-based Study. Journal of Medical Virology. 2021: 5.

Zhao P, X LU, Gu C, Ai Q, Liu H, Cao Z, et al. Volt-VAR-Pressure Optimization of Integrated Energy Systems with Hydrogen Injection. IEEE Transactions on Power Systems. 2021, 36(3): 2403-2415.

Zhao P, Gu C, Cao Z, Ai Q, Xiang Y, Ding T, et al. Water-Energy Nexus: A Mean-Risk Distributionally Robust Co-Optimization of District Integrated Energy Systems. IEEE Transactions on Power Systems. 2021, 36(3): 2542-2554.

Hao, R., Zhang, Y., Cao, Z., Li, J., Xu, Q., Ye, L., Guo, X., Zheng, T., & Song, H. (2021). Control strategies and their effects on the COVID-19 pandemic in 2020 in representative countries. Journal of Biosafety and Biosecurity, 3, 76 - 81.

Zhao, P., Gu, C., Cao, Z., Hu, Z., Zhang, X., Chen, X., Hernando-Gil, I., & Ding, Y. (2021). Economic-Effective Multi-Energy Management Considering Voltage Regulation Networked With Energy Hubs. IEEE Transactions on Power Systems, 36, 2503-2515.

Tse, G., Zhou, J., Lee, S., Wong, W.T., Li, X., Liu, T., Cao, Z., Zeng, D.D., Wai, A.K., Wong, I.C., Cheung, B.M., & Zhang, Q. (2021). Relationship between angiotensin-converting enzyme inhibitors or angiotensin receptor blockers and COVID-19 incidence or severe disease. Journal of Hypertension, 39, 1717 - 1724.

Yang, Y., Cao, Z., Zhao, P., Zeng, D.D., Zhang, Q., & Luo, Y. (2021). Extracting Impacts of Non-pharmacological Interventions for COVID-19 From Modelling Study. 2021 IEEE International Conference on Intelligence and Security Informatics (ISI), 1-6.

Luo, T., Cao, Z.*, Zhao, P., Zeng, D.D., & Zhang, Q. (2021). Evaluating the Impact of Vaccination on COVID-19 Pandemic Used a Hierarchical Weighted Contact Network Model. 2021 IEEE International Conference on Intelligence and Security Informatics (ISI), 1-6.

Zeng D, Cao Z., Neill DB. Chapter 22 - Artificial intelligence–enabled public health surveillance—from local detection to global epidemic monitoring and control. In: Xing L, Giger ML, Min JK, editors. Artificial Intelligence in Medicine: Academic Press; 2021. p. 437-53.

 

【2020】

Cao, Z. , Zeng, D. , Zhang, Q. & Wang, Y. 新冠肺炎疫情的复杂性特征与分析研判. 中国科学基金. 2020, 34/6. 675 - 682. doi:10.16262/j.cnki.1000-8217.2020.06.004

Wang YJ, Cao ZD*, Zeng D, Wang XL, Wang QY. Using deep learning to predict the hand-foot-and-mouth disease of enterovirus A71 subtype in Beijing from 2011 to 2018. Scientific Reports. 2020;10(1):10.

Tse, G. , Zhou, J. , Lee, S. , Wong, W.T. , Li, X. , Liu, T. , Cao, Z. , Zeng, D.D. , Wai, A.K.C. , Wong, I.C.K. , Cheung, B.M.Y. & Zhang, Q. Relationship between angiotensin-converting enzyme inhibitors or angiotensin receptor blockers and COVID-19 incidence or severe disease. Journal of Hypertension.33.  

Ye Y, Zhang Q, Ruan Z, Cao Z, Xuan Q, Zeng DD. Effect of heterogeneous risk perception on information diffusion, behavior change, and disease transmission. Phys Rev E. 2020;102(4).

Zhang Y, Muscatello DJ, Cao ZD, Chughtai AA, Costantino V, Zhang DT, et al. A model of influenza infection and vaccination in children aged under 5 years in Beijing, China. Human Vaccines Immunother. 2020;16(7):1685-90.

Zhou C, Su F, Pei T, Zhang A, Du Y, Luo B, et al. COVID-19: Challenges to GIS with Big Data. Geography and Sustainability. 2020;1(1):77-87.

Cao Z, Zhang Q, Lu X, Pfeiffer D, Jia Z, Song H, et al. Estimating the effective reproduction number of the 2019-nCoV in China. medRxiv. 2020:2020.01.27.20018952.

Cao Z, Zhang Q, Lu X, Pfeiffer D, Wang L, Song H, et al. Incorporating Human Movement Data to Improve Epidemiological Estimates for 2019-nCoV. medRxiv. 2020:2020.02.07.20021071.

Luo T, Cao Z, Wang Y, Zeng DD, Zhang Q. Role of asymptomatic COVID-19 cases in viral transmission: Findings from a hierarchical community contact network model. medRxiv. 2020:2020.11.21.20236034.

Zhou H, Yang J, Tang K, Zhang Q, Cao Z, Pfeiffer D, et al. Healthcare-resource-adjusted vulnerabilities towards the 2019-nCoV epidemic across China. medRxiv. 2020:2020.02.11.20022111.

Zhou J, Lee S, Wang X, Li Y, Wu WKK, Liu T, et al. Development of a predictive risk model for severe COVID-19 disease using population-based administrative data. medRxiv. 2020:2020.10.21.20217380.

Zhou J, Tse G, Lee S, Liu T, Wu WKK, Cao Z, et al. Identifying main and interaction effects of risk factors to predict intensive care admission in patients hospitalized with COVID-19: a retrospective cohort study in Hong Kong. medRxiv. 2020:2020.06.30.20143651.

Zhou J, Tse G, Lee S, Wong WT, Wang X, Wu WKK, et al. Renin-angiotensin system blockers and mortality in COVID-19: a territory-wide study from Hong Kong. medRxiv. 2020:2020.12.21.20248645.

Zhao P, Gu C, Cao Z, Xiang Y, Yan X, Huo D. A two-stage data-driven multi-energy management considering demand response. 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2020, September 12, 2020 - September 17, 2020; 2020; Virtual, Online, Mexico: Association for Computing Machinery.

 

【2019】

Wang XZ, Liu Y, Zhang H, Ma QJ, Cao ZD. Public Health Emergency Management and Multi-Source Data Technology in China. Intell Autom Soft Comput. 2018;24(1):89-96.

Zhang Y, Cao Z, Costantino V, Muscatello DJ, Chughtai AA, Yang P, et al. Influenza illness averted by influenza vaccination among school year children in Beijing, 2013-2016. Influenza and Other Respiratory Viruses. 2018;12(6):687-94.

Luo TY, Cao ZD, Zeng D. Research on Information Dissemination of Public Health Events Based on WeChat: A Case Study of Avian Influenza. 2019 Ieee International Conference on Intelligence and Security Informatics. 2019. 221.

Wang JJ, Chen JL, Zu QN, Cao ZD, He SK, Zeng DD. Healthcare-seeking behavior study on Beijing Hand-Foot-Mouth Disease Patients. 2019 Ieee International Conference on Intelligence and Security Informatics. 2019. 140-2.

Wang Y, Cao Z, editors. Social cognition construction of the avian flu based on social media big data. 17th IEEE International Conference on Intelligence and Security Informatics, ISI 2019, July 1, 2019 - July 3, 2019; 2019; Shenzhen, China.

Wang Y, Cao Z, editors. Network agenda setting and social cognition construction of the dengue fever epidemic event based on social media big data. 23rd Pacific Asia Conference on Information Systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019, July 8, 2019 - July 12, 2019; 2019; Xi'an, China.

Zhu BH, Wang LG, Wang HY, Cao ZD, Zha L, Li Z, et al. Prediction model for dengue fever based on interactive effects between multiple meteorological factors in Guangdong, China (2008-2016). Plos One. 2019;14(12):12.

Wang J, Cao Z, Zeng DD, Wang Q. Epidemiological and space-time analysis of Beijing Intestinal Infectious Diseases. Online Journal of Public Health Informatics. 2019;11(1).

陈艳伟, 窦相峰, 孙玉兰, 曹志冬, 田丽丽, 陈丽娟, 王全意, 黎新宇. 2010—2018年北京市肾综合征出血热空间分布特征研究. 国际病毒学杂志. 2019: 308-312.

 

 

 

[1] Cheng, Weibin, Zhou, Hanchu, Ye, Yang, Chen, Yifan, Jing, Fengshi, Cao, Zhidong, Zeng, Daniel Dajun, Zhang, Qingpeng. Future trajectory of respiratory infections following the COVID-19 pandemic in Hong Kong. CHAOS[J]. 2023, 33(1): [2] Pengfei Zhao, Shuangqi Li, Chenghong Gu, Shuai Lu, 曹志冬, 解大. Blockchain-Based Water-Energy Transactive Management With Spatial-Temporal Uncertainties. IEEE Transactions on Smart Grid[J]. 2023, [3] Pengfei Zhao, Shuangqi Li, Paul Jen-Hwa Hu, 曹志冬, Yue Xiang. Managing Water-Energy-Carbon Nexus for Urban Areas with Ambiguous Moment Information. IEEE TRANSACTIONS ON POWER SYSTEMS[J]. 2022, [4] Jiandong Zhou, Sharen Lee, Xiansong Wang, Yi Li, William Ka Kei Wu, Tong Liu, Zhidong Cao, Daniel Dajun Zeng, Keith Sai Kit Leung, Abraham Ka Chung Wai, Ian Chi Kei Wong, Bernard Man Yung Cheung, Qingpeng Zhang, Gary Tse. Author Correction: Development of a multivariable prediction model for severe COVID-19 disease: a population-based study from Hong Kong. NPJ DIGITAL MEDICINE[J]. 2022, 5(1): 1-1, http://dx.doi.org/10.1038/s41746-022-00586-w.
[5] Ye, Yang, Zhang, Qingpeng, Cao, Zhidong, Chen, Frank Youhua, Yan, Houmin, Stanley, H Eugene, Zeng, Daniel Dajun. Impacts of Export Restrictions on the Global Personal Protective Equipment Trade Network During COVID-19. ADVANCED THEORY AND SIMULATIONS[J]. 2022, 5(4): http://dx.doi.org/10.1002/adts.202100352.
[6] Zhao, Pengfei, Li, Shuangqi, Hu, Paul JenHwa, Cao, Zhidong, Gu, Chenghong, Yan, Xiaohe, Huo, Da, HernandoGil, Ignacio. Two-Stage Co-Optimization for Utility-Social Systems With Social-Aware P2P Trading. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS. 2022, [7] Yuejiao Wang, Dajun Daniel Zeng, Qingpeng Zhang, Pengfei Zhao, Xiaoli Wang, Quanyi Wang, Yin Luo, Zhidong Cao. Adaptively temporal graph convolution model for epidemic prediction of multiple age groups. FUNDAMENTAL RESEARCH[J]. 2022, 2(2): 311-320, [8] Liu, Lin, Cao, Zhidong, Zhao, Pengfei, Hu, Paul JenHwa, Zeng, Daniel Dajun, Luo, Yin. A Deep Learning Approach for Semantic Analysis of COVID-19-Related Stigma on Social Media. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS[J]. 2022, http://dx.doi.org/10.1109/TCSS.2022.3145404.
[9] Ye, Yang, Zhang, Qingpeng, Wei, Xuan, Cao, Zhidong, Yuan, HsiangYu, Zeng, Daniel Dajun. Equitable access to COVID-19 vaccines makes a life-saving difference to all countries. NATURE HUMAN BEHAVIOUR[J]. 2022, 6(2): 207-216, http://dx.doi.org/10.1038/s41562-022-01289-8.
[10] Zhang, Qingpeng, Gao, Jianxi, Wu, Joseph T, Cao, Zhidong, Zeng, Daniel Dajun. Data science approaches to confronting the COVID-19 pandemic: a narrative review. PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCESnull. 2022, 380(2214): http://dx.doi.org/10.1098/rsta.2021.0127.
[11] Luo, Tianyi, Cao, Zhidong, Wang, Yuejiao, Zeng, Daniel, Zhang, Qingpeng. Role of Asymptomatic COVID-19 Cases in Viral Transmission: Findings From a Hierarchical Community Contact Network Model. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING[J]. 2022, 19(2): 576-585, http://dx.doi.org/10.1109/TASE.2021.3106782.
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[95] 曾大军, 郑晓龙, 王全意, 王飞跃, 王劲峰, 王小莉, 曹志冬. 北京市SARS流行的特征与时空传播规律. 中国科学(D辑: 地球科学)[J]. 2010, 40(6): 776-788, http://ir.ia.ac.cn/handle/173211/14980.
[96] Wang, Jinfeng, Haining, Robert, Cao, Zhidong. Sample surveying to estimate the mean of a heterogeneous surface: reducing the error variance through zoning. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE[J]. 2010, 24(4): 523-543, http://ir.igsnrr.ac.cn/handle/311030/3517.
[97] Chang ChaoYi, Cao ChunXiang, Wang Qiao, Chen Yu, Cao ZhiDong, Zhang Hao, Dong Lei, Zhao Jian, Xu Min, Gao MengXu, Zhong ShaoBo, He QiSheng, Wang JinFeng, Li XiaoWen. The novel H1N1 Influenza A global airline transmission and early warning without travel containments. CHINESE SCIENCE BULLETIN[J]. 2010, 55(26): 3030-3036, http://dx.doi.org/10.1007/s11434-010-3180-x.
[98] 王小莉, 杨鹏, 曹志冬, 曾大军, 吴疆, 张奕, 钱海坤, 彭晓旻, 梁慧洁, 庞星火, 邓瑛, 贺雄, 王全意. 北京市2009年甲型HIN1流感防控效果定量评价. 中华流行病学杂志[J]. 2010, 31(12): 1374-1378, http://sciencechina.cn/gw.jsp?action=detail.jsp&internal_id=4088418&detailType=1.
[99] Cao ZhiDong, Zeng DaJun, Zheng XiaoLong, Wang QuanYi, Wang FeiYue, Wang JinFeng, Wang XiaoLi. Spatio-temporal evolution of Beijing 2003 SARS epidemic. SCIENCE CHINA-EARTH SCIENCES[J]. 2010, 53(7): 1017-1028, http://dx.doi.org/10.1007/s11430-010-0043-x.
[100] 曾大军, 曹志冬, 郑晓龙, 王全意, 王飞跃. 2008年北京市手足口病流行的规律与传播机制. 科学通报[J]. 2010, 764-772, http://lib.cqvip.com/Qikan/Article/Detail?id=33620356.
[101] Wang, Ligui, Xu, Yuanyong, Wang, Yong, Dong, Shicun, Cao, Zhidong, Zhou, Wen, Sun, Hailong, Huo, Donghui, Zhang, Hui, Sun, Yansong, Huang, Liuyu, Yuan, Zhengquan, Zeng, Dajun, Song, Hongbin. The Epidemiological Investigation and Intelligent Analytical System for foodborne disease. FOOD CONTROL[J]. 2010, 21(11): 1466-1471, http://www.irgrid.ac.cn/handle/1471x/973028.
[102] 郑晓龙, 曹志冬, 曾大军, 王飞跃, 王全意, 宋宏彬, 王小莉. 甲型H1N1早期流行的时空特征与社会经济因子研究. 2010, http://ir.ia.ac.cn/handle/173211/20846.
[103] 曹志冬, 曾大军, 郑晓龙, 王全意, 王飞跃, 王劲峰, 王小莉. 北京市sars流行的特征与时空传播规律. 中国科学地球科学[J]. 2010, 776-, http://lib.cqvip.com/Qikan/Article/Detail?id=34347907.
[104] 崔凯楠, 曹佳, 曾轲, 郑晓龙, 曹志冬, 郑敏. 网络拓扑结构对甲型 H1N1 传播影响的研究. 2010, http://ir.ia.ac.cn/handle/173211/20847.
[105] 张奕, 邓瑛, 王小莉, 王全意, 曾大军, 曹志冬, 王飞跃, 郑晓龙. 北京市甲型HINl早期流行的特征与时空演变模式. 地理学报[J]. 2010, 65(3): 361-368, http://ir.ia.ac.cn/handle/173211/14983.
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（ 1 ） 基于人口流动迁移模式的传染性流行规律研究, 负责人, 国家任务, 2019-07--2022-12
（ 2 ） 重大传染病疫情传播的时空计量建模与风险预测, 负责人, 国家任务, 2020-04--2021-04
（ 3 ） 深度学习技术在EV-A71疫苗及手足口病多价疫苗接种影响力评估中的应用研究, 负责人, 地方任务, 2019-12--2022-12
（ 4 ） 基于大数据的2019-nCoV疫情流行特征分析、态势预测及溯源研究, 负责人, 国家任务, 2020-02--2022-12
（ 5 ） 公共卫生应急管理, 负责人, 国家任务, 2021-01--2025-12
（ 6 ） 科技创新2030—“新一代人工智能”重大项目“重大传染病预测新模型及政策评估研究”, 负责人, 国家任务, 2021-12--2024-11

（1）新冠肺炎疫情社区传播情景建模与计算实验   2020公共安全高峰论坛   2020-12-27
（2）新冠肺炎疫情社区传播模拟与计算实验评估   经济管理、决策与信息技术前沿论坛暨MADIS实验室2020年青年学术报告会   2020-12-12
（3）全球新冠肺炎疫情形势及影响性评估   2020年第十六届物流系统工程暨第四届管理系统工程学术研讨会   2020-11-29
（4）新冠肺炎疫情输入性风险与常态化防控策略   第一届中国(双法)风险管理分会学术年会暨 第十一届风险相关性与度量技术研讨会   2020-11-12
（5）突发公共卫生事件的应急决策支持与情景推演   2020人工社会多域融合仿真论坛暨 中国仿真学会人工社会专委会成立会议   2020-11-07
（6）突发重大公共卫生事件的应急管理与决策    第260期双清论坛"政策信息学与政策智能"   2020-10-19
（7）人工智能时代的商务智能   中国(银川)跨境电子商务综合试验区建设工作 推进会暨跨境电商高质量发展论坛   2020-09-18
（8）疫情防控常态化下如何稳步有序开放国门   2020年第五届全国大数据与社会计算学术会议   2020-08-23
（9）Evaluate Transmission Characteristics and Non-pharmaceutical Control Measures of a School Outbreak of the 2009 H1N1 Influenza   2018-07-19
（10）大数据方法及其在医疗健康领域的应用   2016大数据驱动的管理与决策研究学术研讨会   2016-09-19
（11）多元信息流数据分析与预警技术   大数据分析与复杂社会系统建模   2016-05-27
（12）传染病在学生群体中的传播模式与应急处置策略   “国家公共安全科技发展战略研究”2015年度学术交流研讨会   2015-12-17
（13）突发事件舆情监测与分析   “非常规突发事件应急管理研究”重大计划集成项目交流会   2015-09-21
（14）公共卫生突发事件感知与决策支持的大数据解决方案   2014年北京医学会医学信息学分会医学大数据研讨会   2014-12-26
（15）网络舆情大数据—传播风险与科学治理   大数据与公共风险治理论坛   2014-10-25
（16）Predicting Popularity of Microblogs in Emerging Disease Event   2014-06-16
（17）The Impact of Community Structure of Social Contact Network on Epidemic Outbreak and Effectiveness of Non-pharmaceutical Interventions   2012-07-11

   

已指导学生

王月娇  硕士研究生  085211-计算机技术  

杨芸榕  硕士研究生  085210-控制工程  

刘林  硕士研究生  0811J2-社会计算  

现指导学生

艾祖鹏  博士研究生  120100-管理科学与工程  

费佳强  博士研究生  081203-计算机应用技术  

于春淼  博士研究生  0811J2-社会计算