

Social Uplifting using Twitter and GIS
Due to the influx of large microscale datasets obtained from social media, there is a renewed interest in understating human health within neighborhoods; especially in mitigating negative health outcomes. Working with colleagues from the SiTI Higher Institute on Territorial Systems, Turin, Italy, we have embarked on a study to understand how human sentiment is affected by neighborhood health over time and space. Preliminary results have already been disseminated, with future


Spatiotemporal Analysis of Human Sentiment and Travel Mode Choices
The surge of microscale geospatial media data is helping researchers understand several space-time phenomenon. To this end, my co-authors and I are currently examining Twitter data to understand the human sentiment of motorized and non-motorized travel modes, using Chicago and Washington D.C. as case studies. We found that spatiotemporal trends of sentiments vary widely for each city-indicating that contextual effects influence attitude while traveling. Additionally, using a