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SPATIOTEMPORAL INNOVATION LAB

FOR

BIG DATA

Affiliated to the Future Data Lab &

Supported by the Spatial Data Lab

Lab Events

Mon, 10 Jul
The Summer Workshop on Spatiotemporal Innovation
Details
10 Jul 2023, 7:00 am – 14 Jul 2023, 7:00 am
Cambridge, Cambridgepark Dr, Cambridge, MA 02138, USA
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Sat, 01 Apr
The Monthly Agenda of Spatiotemporal Innovation Webinar Series
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01 Apr 2023, 8:00 pm – 02 Apr 2023, 8:00 pm
https://www.eventbrite.com/e/588682975627
This webinar series aims to promote replicable spatiotemporal data science and introduce new approaches for efficient and reproducible data analysis.
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Sat, 18 Feb
Semi-annual Affiliate Lab Member Meeting
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18 Feb 2023, 9:00 am GMT-5 – 19 Feb 2023, 12:00 pm GMT-5
ZOOM
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Wed, 15 Feb
My Data Guest - Interview with Prof. Wendy Guan
Details
15 Feb 2023, 11:00 am – 12:00 pm GMT-6
LinkedIn
Please click this link to attend: https://www.linkedin.com/video/event/urn:li:ugcPost:7022229918587441153/
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Mon, 30 Jan
New Participant Webinar
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30 Jan 2023, 9:00 pm GMT-5
ZOOM
Our new participants will present their research proposal!
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Fri, 13 Jan
Training on KNIME Development of Extension and Web Portal
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13 Jan 2023, 9:00 pm GMT-5
Webinar
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Innovation

The proposed research focuses on the geographical differences of Twitter sentiments under controversial public policies or big natural disasters influencing almost everyone.

Importance

Our findings can help tailor public policies and interventions and improve disaster management in different geographic areas.

Research objective

To investigate the effects of public policies and natural disasters on Twitter sentiments from a spatiotemporal perspective.

Sub-objectives

To investigate the effects of COVID19-related policies on Twitter sentiments in different US cities;

to examine different algorithms in sentiment analysis ;
to investigate the effects of heat waves on Twitter sentiments in the US.

SELECTED PUBLICATION LIST OF THE CORE MEMBERS

Xinming Xia, Yi Zhang, Wenting Jiang, and Connor Y.H. Wu. 2023. "Staying Home, Tweeting Hope: A Study of Twitter Sentiment Geographical Index during US Stay-at-Home Orders." Journal of Medical Internet Research. doi: 10.2196/45757

Connor Y.H. Wu. 2022. "Heat waves and road traffic collisions in Alabama, United States." Annals of the American Association of Geographers, 112, 5, Pp.1313-1327.

Xinming Xia, Wan-Hsin Liu. 2022. "China's Investments in Germany and the Impact of the COVID-19 Pandemic." Intereconomics, 56, 2, Pp. 113-119.

Ashish Gupta, Han li, Alireza Farnoush, and Wenting Jiang. 2022. "Understanding Patterns of COVID-19 Infodemic: A Systematic and Pragmatic Approach to Curb Fake News." Journal of Business Research, 140, Pp. 670-683.

Pengyu Zhu, Yi Zhang, and Juan Wang. 2022. "Canceling the Admission Priority of Private Schools Enlarges Housing Price Gap in Public School Districts: Evidence from Shanghai's New Admission Policy." Real Estate Economics, 00, Pp. 1-19.

Suwei Wang, Connor Y.H. Wu, Molly B. Richardson, Benjamin F. Zaitchik, and Julia M. Gohlke. 2021. "Characterization of heat index experienced by individuals residing in urban and rural settings." Journal of Exposure Science & Environmental Epidemiology, 31, 4, Pp. 641-653.

Connor Y.H. Wu, Benjamin F. Zaitchik, Samarth Swarup, and Julia M. Gohlke. 2019. "Influence of the spatial resolution of the exposure estimate in determining the association between heat waves and adverse health outcomes." Annals of the American Association of Geographers, 109, 3, Pp: 875-886.

Shengjun Zhu, Canfei He, and Xinming Xia. 2019. "Geography of Productivity: Evidence from China's Manufacturing Industries." The Annals of Regional Science, 62, 1, Pp. 141-168.