On Monday, November 20, from 11:30am – 12:30pm, please join us for a talk from a returning UCSB Geography alumni in the Center for Spatial Studies (Phelps Hall 3512).

“Grad2Prof: Lessons learned on an academic trajectory”

Grant McKenzie

Department of Geographical Sciences
University of Maryland, College Park

11:30am Monday, November 20, 2017 | 3512 Phelps Hall (map)

Grant McKenzie

The process of transitioning from graduate student to tenure-track professor is a daunting one. The ‘traditional’ academic trajectory has changed substantially over the past few years and while each researcher and educator makes their own path, there are common hurtles that most eventually face. In this talk I discuss the lessons that I’ve learned navigating the murky waters of a junior tenure-track professorship at a research-focused university. The purpose is to provide alumni-level insight into the transition from graduate student to professor and is meant to be informative and lighthearted. In short, this is the talk I wish I had attended 3 years ago.


Grant McKenzie is an assistant professor in the Department of Geographical Sciences, affiliate of the Center for Geospatial Information Science, member of the Human Computer Interaction Lab. He holds a PhD in Geography from the University of California, Santa Barbara (2015), a Master of Applied Science degree from the University of Melbourne (2008) and a Bachelors in Geography from the University of British Columbia (2002). Dr. McKenzie’s research interests lie in spatio-temporal data analysis, geovisualization, place-based analytics and the intersection of information technologies and society. Currently, he is exploring computational, data-driven models of human behavior, taking a multi-dimensional approach to investigating the relationship between place & space and the activities people carry out at those places. The foundation of this research involves working with large geosocial, user-contributed and authoritative datasets, exploiting and visualizing spatial, temporal and thematic signatures within the data. These signatures are employ through unique methods and statistical models for the development of effective interactive (desktop and mobile) geovisualization, place-based prediction models and knowledge discovery applications.

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Grad2Prof: Lessons Learned on an Academic Trajectory