Symposium on Human Dynamics Research: Mining Human Dynamics with Big Data
The session recording will be archived on the site until June 25th, 2023
This session was streamed but not recorded
Date: 3/24/2023
Time: 10:20 AM - 11:40 AM
Room: Capitol Ballroom 2, Hyatt Regency, Fourth Floor
Type: Paper,
Theme: Toward More Just Geographies
Curated Track: AAG's GeoEthics Initiative and Related Effort
Sponsor Group(s):
Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Xi Gong University of New Mexico
Guiming Zhang University of Denver
Xining Yang Eastern Michigan University
Chair(s):
Xi Gong University of New Mexico
Description:
With the advancement of information and communication technologies (ICT), location-aware technology, and mobile technology, data about human behaviors and interactions in physical, virtual, and network space has been generated at an unprecedented scale. The so-called big data bring in both opportunities and challenges for understanding, modeling, and predicting human dynamics. On one hand, the big data are collected from ubiquitous data sources (social media data, volunteered geographic information - VGI, sensor data, GPS tracks, transaction records, etc.); the data can cover aspects and scales of the human dynamics that are unseen from traditional data. On the other hand, revealing meaningful spatio-temporal patterns are challenging due to the high volume, velocity, and variety nature of the big data. Recent cutting-edge techniques such as data mining, machine learning, and artificial intelligence (AI) open up new opportunities for unveiling the hidden spatio-temporal and network patterns of human dynamics in the big data.
Presentations (if applicable) and Session Agenda:
Guiming Zhang, University of Denver |
Detecting and visualizing observation hot-spots in massive VGI datasets across spatial scales |
Sarigai Sarigai, University of New Mexico |
An Interactive Web-mapped Dashboard for Better Visualization of Geospatial Big Data |
Alexander Hohl, University of Utah |
Spatiotemporal analysis of anti-Asian hate on social media in the United States |
Kevin Kane |
Pandemic travel patterns by neighborhood: the mobilities of stability versus gentrification using location-based services data |
Xi Gong, Pennsylvania State University |
Governors Fighting Crisis: Responses to the COVID-19 Pandemic across U.S. States on Twitter |
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Symposium on Human Dynamics Research: Mining Human Dynamics with Big Data
Description
Type: Paper,
Date: 3/24/2023
Time: 10:20 AM - 11:40 AM
Room: Capitol Ballroom 2, Hyatt Regency, Fourth Floor
Contact the Primary Organizer
Xi Gong University of New Mexico
xigong@unm.edu
Session Sponsored By
