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Lingyao's Homepage
  • BIO
  • RESEARCH
  • PUBLICATION
  • GRANT
  • TEACHING
  • SERVICE
  • ACTIVITY
  • More
    • BIO
    • RESEARCH
    • PUBLICATION
    • GRANT
    • TEACHING
    • SERVICE
    • ACTIVITY
Invited Talk
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Contact

lingyaol@usf.edu

lilingyao@hotmail.com

Invited Talk

  • (2024) Topic: Using social media data to investigate public perceptions during the COVID-19 pandemic. School of Information, Florida State University. 

  • (2024) Topic: Crowdsourcing through social media for sudden-onset disaster damage assessment. School of Information, University of South Florida.

  • (2024) Topic: Crowdsourcing through social media for sudden-onset disaster damage assessment. School of Information Technology, University of Cincinnati. 

Guest Lecture

  • (2024) Topic: Big data analytics for urban planning projects. School of Public Affairs, University of South Florida        

  • (2024) Topic: Case studies of project cost and scheduling. Department of Civil and Environmental Engineering, University of Maryland.   

Conference Presentation

  • (2024) Topic: Landscape of generative AI in global news: Topics, sentiments, and spatiotemporal analysis. The International AAAI Conference on Web and Social Media (ICWSM). Buffalo, New York, USA.

  • (2024) Topic: Crowdsourcing for rapid sudden-onset disaster damage assessment. Natural Hazards Research Summit. College Park, Maryland, USA.

  • (2023) Topic: Social media crowdsourcing for damage assessment following earthquakes. Plenary presentation (9 out of 162 papers). Geo-Risk 2023. Arlington, Virginia, USA.

Seminar/Workshop Presentation

  • (2024) Topic: Computational Methodsfor Social Sciences & Humanities Scholars. CAS Workshop, University of South Florida.

  • (2023) Topic: HOT speech and ChatGPT. Virtual seminar. University of Michigan.

  • (2021) Topic: Dynamic assessment of COVID-19 vaccine acceptance leveraging social media data. Disaster Resilience Seminar, University of Maryland.

  • (2019) Topic: A social media-based approach to develop a quick assessment model of earthquake damage. Disaster Resilience Seminar, University of Maryland.

Contact Information

  • Office: CIS 1040, 4202 E. Fowler Avenue, Tampa, FL 33620

  • Email: lingyaol@usf.edu

  • Alternative Email: lilingyao@hotmail.com 

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Related Resources

  • School of Information, USF

  • School of Information, UMich

  • Department of Civil & Environmental Engineering, UMD


Last Updated: November 29, 2024

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