基本信息
浏览量:6
职业迁徙
个人简介
My general research area is computational social science, an area at the crossing of computer science, data science and social science, where fundamental social science problems are being investigated using data-driven computational thinking and methods. More precisely, I investigate how new technology is changing society, and also how society is appropriating and shaping such new technology. I have specific expertise and interest in urban informatics, investigating how to extract knowledge from a variety of data sources to better understand the functioning of cities, and to develop technologies and interventions aimed at improving life of citizens. I have analysed a broad variety of big datasets, including public transport data, telecommunication data, social media data, and crowd-sourced data, in order to model cities’ and citizens’ dynamics. These models have been used, for example, to build personalised travellers’ services, to estimate cities’ economic well-being, and to help regulate novel markets.
研究兴趣
论文共 168 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
Scientific Reportsno. 1 (2023): 1-13
ENERGY FOR SUSTAINABLE DEVELOPMENT (2023): 101295-101295
引用1浏览0引用
1
0
Zenodo (CERN European Organization for Nuclear Research) (2022)
引用0浏览0引用
0
0
Proc. ACM Hum. Comput. Interact.no. CSCW2 (2022): 1-21
2022 IEEE PES/IAS PowerAfricapp.1-5, (2022)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn