活動

[CSSL@CUHK Webinar] 利用社交媒體數據促進決策制定

鏈接

https://www.cpr.cuhk.edu.hk/tc/?p=129711

列印

日期：

2022年7月29日

時間：

09:00 – 10:30 (GMT+8)

地點：

Webinar

講者：

Prof. Jianghao Wang, Associate Professor, Institute of Geographic Sciences & Natural Resources Research, CAS

講者簡歷：

Prof. Jianghao Wang is an associate professor at the Institute of Geographic Sciences & Natural Resources Research, Chinese Academy of Sciences (CAS). He is also an associate professor at the University of CAS and previously a research scientist at the MIT Sustainable Urbanization Lab. His research interests cover GIScience and computational social science.

查詢：

For enquiries, please contact us at fssc06@cuhk.edu.hk.

活動概覽：

ZOOM	· Meeting Link: https://cuhk.zoom.us/j/94269475544?pwd=OGd5Nzc4cDZPYmVXL09kU1k2Mkl0QT09 · Meeting ID: 942 6947 5544 · Passcode: 499855
YouTube Live	https://www.youtube.com/c/CUHKSocialScienceSoundbox
Bilibili	https://live.bilibili.com/2112611
Douyu	https://www.douyu.com/1406512

講座摘要：

Social media is becoming a crucial communication tool for information generation, dissemination, and consumption. Can evidence drawn from social media enhance public services and inform public policy development? In this talk, we present studies using billions of geotagged social media posts and state-of-the-art natural language processing techniques to provide valuable insights for researchers and policymakers about global preferences. We present three case studies on air pollution, climate change, and COVID-19. These applications show how social media data, coupled with machine learning techniques and quasi-experimental design, can inform public decision-making.