Geospatial Data Science for Social Media Analytics

This workshop will introduce geospatial data science approaches to analyzing social media for diverse applications using open source data and tools. Students will obtain knowledge and skills of collecting and processing social media data, Python programming for advanced spatial analytics, and understand the advantages and limitations of social media data.

August 1, 2022, 11:00am Eastern Time – September 9, 2022, 12:30pm Eastern Time

Webinar Ended


Lei ZouLei Zou, Texas A&M University

Dr. Lei Zou is an Assistant Professor in the Department of Geography at Texas A&M University (TAMU), aiming to build a sustainable future for human communities under the changing environment through spatial thinking, novel data, and intelligent algorithms. He is leading NSF and TAMU-funded projects to analyze geospatial big data, develop GeoAI algorithms, create webGIS applications, measure and improve community resilience to disasters (e.g., hurricanes, flooding, drought, and covid-19), and establish digital twins simulating urban landscape dynamics. At TAMU, he has taught several GIScience courses, including GIS Programming, GeoDatabases, GIS Practicum, Remote Sensing for Geographical Analysis, and Frontiers in GIScience.

Eligibility and capacity

We will select up to 20 graduate students to participate in this workshop. Selection will be based on your AAG membership status, your research needs, and time of registration. If you are selected, we will notify you ahead of the workshop and provide you all the workshop details and session links. If you are selected, the expectation is that you will participate in all sessions of the workshop.


The selected participants should be familiar with basic Python programming and GIS, interested in GIScience, social science, data science, or incorporating social media data into their research projects.

Detailed schedule

This workshop will meet at the following times (Eastern Time):

  • Session 1: AAG Welcome Session, 11:00 am – 12:30pm, Monday, August 1
  • Session 2: 11:00 am – 1:00 pm, Tuesday, August 2
  • Session 3: (Optional) , 11:00 am – 1:00 pm, Wednesday, August 3
  • Session 4: 11:00 am – 1:00 pm, Thursday, August 4
  • Session 5: 11:00 am – 1:00 pm, Friday, August 5

Throughout the week, expect to also spend a few hours working independently on readings or short assignments for the workshop.