Big Text represents additional challenges with respect to Big Data, as the information is unstructured and presented in (often simplified or incorrect) natural language.

Big Text is ubiquitous in business, science, and everyday life.  Estimates indicate that 80% of Big Data is in fact text data. There is therefore a strong interest in exploiting Big Text problems, and a significant need for Highly Qualified Personnel (HQP) trained in Big Text Analytics techniques.

The TRIBE program provides unique, industrially-relevant graduate training of HQP in an area of Big Text Analytics. The NSERC CREATE-sponsored Graduate Certificate will be an additional qualification granted to students who will satisfy the TRIBE program requirements while completing their Master of Computer Science or Ph.D. degree training.

TRIBE graduates will acquire the following skills and experience:

  • technical knowledge and ability which will be the core of their data analytics expertise,
  • introduction to Big Text research,
  • professional skills courses in communication, management, entrepreneurship and ethics
  • an internship component of the TRIBE program will provide industrial experience, which is sought by employers. 

Advisory Committee

The mission of the Committee is to guide the strategic direction of the CREATE training initiative, in an advisory capacity.  It will not be addressing the research program but rather it will play a role in challenging the group of researchers to think innovatively as they establish their group of students and postdoctoral fellows who will participate in the training initiative.  It will provide input and guidance in the conduct of program reviews, any related major changes in the program, and in the setting of performance indicators and program evaluation.  Progress reports should first be presented to the Committee for their input and approval.

Members

  • Dr. Andrew Rau-Chaplin, Dean of Computer Science, Dalhousie University, Advisory Committee Chair
  • Dr. Evangelos Milios, Faculty of Computer Science, Dalhousie University
  • Dr. Stan Matwin, Faculty of Computer Science, Dalhousie University
  • Dr. Guy Lapalme, Informatique et recherche opérationnelle, Université de Montréal
  • Dr. Fred Popowich, School of Computing Science, Simon Fraser University
  • Ms. Rose Kocher, Director, Grant & Research Programs, D2L Corporation
  • Dr. Shady Shehata, Principal Data Scientist, D2L Corporation