Feb 15, 2024
New research led by Geospatial Analytics Ph.D. student Ariel Saffer and co-authored by Faculty Fellow Laura Tateosian and MGIST alum Yi-Peng Yang shows how analyzing historic and modern texts can help researchers track and visualize plant diseases like late blight.
Dec 6, 2023
Gao will graduate in December 2023 with a Ph.D. in Geospatial Analytics. He is currently employed as a post-doctoral research fellow at Harvard University.
Nov 7, 2023
By taking human adaptation into account, a new version of the FUTURES land change model offers a more realistic assessment of flood risk.
Oct 18, 2023
A new study led by our researchers finds that greenspace in urban environments has a positive impact on a key genetic marker associated with exposure to stress.
Apr 13, 2023
Integrating AI and geospatial technology can help solve challenges to global food security and poverty that are exacerbated by climate change.
Aug 24, 2022
Our researchers plan to use real-time analytics through sensor technology, data mining, remote sensing and modeling to better monitor and predict plant diseases.
Jun 20, 2022
In this series, Rob Dunn invites leaders in several fields of study to predict the future to understand how to best steer their fields towards the most fruitful outcomes.
May 9, 2022
The exhibition features a variety of research and data visualization inspired by Du Bois's work.
May 5, 2022
Upon graduation, MGIST student Katie Kolcusky will begin work as a solution engineer with Esri's National Government Team.
Nov 9, 2021
Meredith DiMattina has a drive for going above and beyond. She shares how her determination for learning more led her to pursue a master’s degree in the online MGIST program and how it has impacted her career.