2021年度深圳市科学技术奖科技进步奖一等奖(社会公益类): “ 基于人员流动大数据的疫情精准防控关建技术与应用”
由尹凌老师等完成的“重大呼吸道传染病疫情防控大数据方法、技术与应用”获由中国测绘学会颁发的2021年度测绘科技特等奖。
Ling Yin. Fine-grained Geographical Computation of Infectious Diseases Coupled with Population Dynamics. Kang Liu. Study on the Impact of the Initial Outbreak Location of Infectious Diseases on the Risk of Intra-urban Spatiotemporal Transmission.
From October 15th to 17th, 2021, the 17th China Geographic Information Science Theory and Method Academic Annual Conference was held in Hangzhou, China. Ling Yin attended the meeting and gave a special report on "Fine-grained Geographical Computation of Infectious Diseases Coupled with Population Dynamics", Liu Kang attended the meeting and gave a special report on "Study on the Impact of the Initial Outbreak Location of Infectious Diseases on the Risk of Intra-urban Spatiotemporal Transmission", Zhang Hao attended the meeting and made a special report on "Simulating the Intra-urban transmission of COVID-19:A Spatial Explicit Agent-based Model with Individual Trajectory Data".
2021年10月15日至17日,第十七届中国地理信息科学理论与方法学术年会在中国杭州举办。尹凌参会并作专题报告“耦合人群动态的精细化传染病地理计算”,刘康参会并作专题报告“城市内部传染病初始暴发位置对时空传播风险的影响研究”,张浩参会并作专题报告“个体轨迹数据支持下的基于空间显式智能体模型模拟COVID-19在城市内部的传播”。
Guikai Xi. Intra-urban Region-based Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network Enhanced by Spatial Context. In 29th ACM SIGSPATIAL 2021. Beijing, China.
2021年11月1日,第二十九届ACM SIGSPATIAL会议在中国北京举办。奚桂锴参会并作口头报告“基于空间语义增强的时空图卷积网络的城市区域内交通流预测”,获得会议最佳论文奖。
The 29th ACM SIGSPATIAL 2021 was held in Beijing, China on November 1st, 2021. Guikai Xi attended the meeting and gave an oral report entitled “Intra-urban Region-based Traffic Flow Prediction Based on Spatial-Temporal Graph Convolutional Network Enhanced by Spatial Context”, which won the Best Paper Award in the meeting.
尹凌老师荣获2021年“深圳市三八红旗手”称号。2021年3月8日,中国共产党成立100周年之际,深圳市南山区妇联在南山区妇女儿童活动中心举行了“学党史颂党恩 跟党走——百名巾帼献礼建党百年”活动。作为巾帼代表,尹凌老师进行了科研成长的分享,并表示:“今年是党的100周年,站在’两个一百年’的历史交汇点,身为科技工作者,使命光荣,责任重大。星光不负赶路人,我将不懈奋斗,以老一辈科学家为榜样,用科研助力智慧社会建设”。
由裴韬老师、Dr. Piotr A. Werner、尹凌老师、龚玺老师、Dr. Johannes H. Uhl客座编辑的Remote Sensing特刊正式征稿,主题为"Advances to GIS for Sensing of Earth and Human Interaction". 稿件提交截止日期为2021年11月30日."
由方志祥老师、尹凌老师、Dr. Jean-Claude Thill客座编辑的Remote Sensing特刊正式征稿,主题为" Human-Oriented Observation for Supporting Effective Decision-Making in Governance and Public Service". 稿件提交截止日期为2021年12月31日.
尹凌老师合作新书出版
内容简介:
流行病学资料超过80%与空间信息有关,如何有效地将空间信息技术与流行病学进行结合成为关键。本书尝试从流行病学的角度全面介绍空间流行病学这一新兴分支学科的相关理论,特别是借鉴了统计学的思路,创新性地从数据类型的角度来介绍理论与方法,以数据驱动方法,大大降低了使用者选择正确方法的难度。同时,将理论介绍与案例实践相结合,提供了实际研究案例和具体软件操作,对于应用研究人员具有很高的使用价值。
全国科技工作者日暨表彰大会于2020年5月29日在广东科学馆举行。会上,中国工程院院士钟南山、中科院深圳先进技术研究院副研究员尹凌等10人入选2020年广东“最美科技工作者”。
尹凌副研究员因显著技术优势长期以来与疾控部门密切合作,并于2020年1月7日联合广东省疾控中心协商建立了“广东省疾病预防控制中心——中国科学院深圳先进技术研究院联合实验室”,担任实验室副主任。
尹凌博士领导了一支长期进行城市大数据与人群动态建模团队,2019年12月关于城市内部人群活动的研究“大数据支持下的城市人群出行活动探测与时空服务关键技术”获得了教育部科技进步二等奖。
Fan Zhang. Investigating evolutions of metro station functions in Shenzhen with long-term smart card data. In Geoinformatics in Sustainable Ecosystem and Society (GSES-2019), November 22-25, 2019, Guangzhou, China.
Geoinformatics in Sustainable Ecosystem and Society (GSES-2019) was held in Guangzhou, China, from November 22 to 25, 2019. Fan Zhang attended the meeting and gave an oral report entitled "Investigating evolutions of metro station functions in Shenzhen with long-term smart card data", which won the third prize in the student paper competition.
2019国际地理信息科学周于2019年11月22日至25日在中国广州举办,科学周期间先后召开了可持续生态系统与社会中的地理信息学国际会议(GSES-2019)和面向城市计算的地理空间智能国际会议(GeoAI-UC-2019)。张帆参加GSES-2019会议并作题为“用长时序智能卡数据研究深圳市地铁站功能演变”的口头报告,获得学生论文竞赛三等奖。
Ling Yin. Modelling the spread of infectious diseases based on human dynamics. Kang Liu. Visual exploration method of urban area POI configuration. In the 16th Annual Conference on the Theory and Methods of China's Geographic Information Science, October 18 to 20, 2019, Shanghai, China.
From October 18 to 20, 2019, the 16th Annual Conference on the Theory and Methods of China's Geographic Information Science was held in Shanghai, China. Ling Yin attended the meeting and made a special report on "Modelling the spread of infectious diseases based on human dynamics". Kang Liu attended the meeting and made a special report on "Visual exploration method of urban area POI configuration".
2019年10月18日至20日,第十六届中国地理信息科学理论与方法学术年会在中国上海举办。尹凌参会并作专题报告“基于人群动态的传染病扩散建模”,刘康参会并作专题报告“城市区域POI配置可视探索方法”。
Kang Liu. Investigating Urban Metro Stations as Cognitive Places in Cities. In International Symposium on Location-Based Big Data 2019 (LocBigData 2019), July 15, 2019, Tokyo, Japan, in conjunction with ICC 2019.
International Symposium on Location-Based Big Data 2019 (LocBigData 2019) was held in Tokyo, Japan on July 15, 2019, in conjunction with ICC 2019. Kang Liu attended the meeting and gave an oral report entitled “Investigating Urban Metro Stations as Cognitive Places in Cities”.
2019年7月15日,2019基于位置的大数据国际研讨会日本东京召开(LocBigData 2019),本次会议与ICC2019联合召开。刘康参会并作题为“研究城市地铁站作为城市认知场所”的口头报告。
Kang Liu. Exploring Urban Metro Stations as Cognitive Places in Cities Using Points of Interest. In ICUI 2019, 24-26 June, The Hong Kong Polytechnic University (PolyU), Hong Kong, China.
The 2nd International Conference on Urban Informatics (ICUI 2019) was held in Hong Kong, China, from June 24 to 26, 2019. Kang Liu attended the meeting and gave an oral report entitled “Exploring Urban Metro Stations as Cognitive Places in Cities Using Points of Interest”.
第二届城市信息学国际会议(ICUI2019)于2019年6月24日至26日在中国香港举行,刘康参会并作题为“利用兴趣点探索城市地铁站作为城市认知场所”的口头报告。
Guikai Xi. A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale. In 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI’18), November 6, 2018, Seattle, WA, USA.
The 2nd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI’18) was held in Seattle, WA, USA on November 6, 2018. Guikai Xi gave an oral report entitled “A Deep Residual Network Integrating Spatial-temporal Properties to Predict Influenza Trends at an Intra-urban Scale”.
第二届ACM SIGSPATIAL地理知识发现人工智能国际研讨会(GeoAI’18)于2018年11月6日在美国华盛顿州西雅图举行,奚桂锴作题为“预测城市内流感趋势的整合时空特性的深度残差网络”的口头报告。
Jialu Xie. A Modeling Framework for Individual-based Urban Mobility Based on Data Fusion. In 26th International Conference on Geoinformation, 28-30 June 2018 Kunming, Yunnan, China.
The 26th International Conference on Geoinformation was held in Kunming, Yunnan, China, from June 28 to 30, 2018. Jialu Xie attended the meeting and gave an oral report entitled “A Modeling Framework for Individual-based Urban Mobility Based on Data Fusion”.
第26届国际地理信息会议于2018年6月28日至30日在中国云南昆明举行,谢家璐参会并作题为“基于数据融合的个体城市移动建模框架”的口头报告。
The 1st International Conference on Urban Informatics (ICUI 2017) was held in Hong Kong, China, from November 13 to 15, 2017. Ling Yin attended the meeting and gave an oral report entitled “Precise Space-Time Interventions on Intra-Urban Dengue Outbreaks Using Large-Scale Mobile Phone Tracking Data”, which won the Best Paper Award in the meeting.
第一届城市信息学国际会议(ICUI2017)于2017年11月13日至15日在中国香港举行,尹凌参会并作题为“利用大规模移动电话跟踪数据对城市内登革热疫情进行精准时空干预”的口头报告,获得会议最佳论文奖。
Ling Yin. Panel discussant. The 8th International Forum of Spatially Integrated Humanities and Social Sciences, Nanjing, China, June 23, 2017.
The 8th International Forum of Spatially Integrated Humanities and Social Sciences was held in Nanjing, China on June 23, 2017. Ling Yin attended the panel discussant.
第八届空间整合人文社会科学国际论坛于2017年6月23日在中国南京举行,尹凌出席了小组讨论。
Ling Yin. Invited speech. Spatial-temporal analysis of human activities with massive trajectory data. Workshop on SMART CITIES, SMART CITIZENS? Power and Participation in the Digital City, Hong Kong, June 15-16, 2017.
Workshop on SMART CITIES, SMART CITIZENS? Power and Participation in the Digital City was held in Hong Kong, China, from June 15-16, 2017. Ling Yin gave an invited speech entitled “Spatial-temporal analysis of human activities with massive trajectory data”.
“智能城市,智能市民?数字城市的力量和参与”研讨会于2017年6月15日至16日在中国香港举行。尹凌发表了题为“用海量轨迹数据对人类活动进行时空分析”的特邀演讲。
Ling Yin, Liang Mao, Nan Lin, Xiaoqing Song, Shih-Lung Shaw, Zhixiang Fang. Precise Space-time Interventions on Intra-urban Dengue Outbreaks with Mobile Phone Location Data. The Annual Meeting of American Association of Geographers, Boston, MA, April 5- April 9, 2017.
The Annual Meeting of American Association of Geographers was held in Boston, MA, USA, from April 5-9, 2017. Ling Yin attended the meeting and gave an oral report entitled “Precise Space-time Interventions on Intra-urban Dengue Outbreaks with Mobile Phone Location Data”.
美国地理学家协会年会于2017年4月5日至9日在美国波士顿举行,尹凌参会并作题为“利用移动电话位置数据对城市内登革热暴发进行精准时空干预”的口头报告。
Ling Yin. Keynote speech. Human Activities in Physical and Virtual Spaces: A GIS-based Time-geographic Approach. The 2nd International Time-Geography Conference, Linköping, Sweden, Sept 21-23, 2016.
The 2nd International Time-Geography Conference was held in Linköping, Sweden, from September 21-23, 2016. Ling Yin attended the meeting and gave a keynote speech entitled “Human Activities in Physical and Virtual Spaces: A GIS-based Time-geographic Approach”.
第二届国际时间地理学会议于2016年9月21日至23日在瑞典林雪平举行。尹凌参会并作题为“人类在物理和虚拟空间中的活动:基于GIS的时间地理学方法”的主题演讲。
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Designed by Chunxia Zeng. Oct 15 2017.