This is a relatively complex, interdisciplinary project, with a geographically-dispersed research team, and is therefore an ideal training ground for graduate students and senior undergraduates interested in learning about working in this manner. We typically involve our research assistants in all phases of the project, in order to give them some experience in collaborative work across disciplinary boundaries. Previous research assistants on our projects have subsequently gone on to a wide range of careers in the academy, government, and the private sector. They work at both federal and provincial levels, own successful design businesses, run computer consulting companies, and teach at universities and colleges all over the world.

We are very happy to be working with Jillian Bear Chief, Mark Bieber, Matthew Gooding, Kamal Ranaweera, Neil Kipling, Lauren Johnstone, and Michal Ondrejcek. They are working with us on this project to gain experience both in the larger context of collaborative research planning and management, and also in some of the detailed components of the work, learning, for example, about open source semi-supervised classification systems and early modern English witchcraft trials. They are active participants in the process of designing, implementing, and testing the system, and will contribute to the writing and presentation of research reports. Research assistants also contribute to the team discussions, including a project email list, conference calls, and face-to-face meetings.