GIS Data Science and Big data projects at Harvard CGA

Background:

Interactive Analysis of Big Geospatial Data with High-Performance Computing has been accepted to be presented in ESRI User Conference 2022. It is also under review to be published in the journal of Transactions in GIS. Our work on High Performance Computing for Address Level Climate Data Extraction is scheduled to be presented in the upcoming American Association of Geographers (AAG) 2022. In addition, every tweet has been enriched in Harvard CGA’s Geo-tweet Archive (~10 Billion tweets) with two key variables, Sentiment and Geography using advanced GIS Data Science techniques and Machine Learning. This enriched data will be useful for a wide range of research applications involving the use of social media data. The dataset is available for use for all Harvard researchers.

For further information and/or inquiries, please email Devika Kakkar at kakkar@fas.harvard.edu.