You're invited to attend a public lecture by a candidate for the position of Lecturer, Assistant Professor or Associate Professor in the School of Information Management. Full details below. No RSVP required. These lectures will not be live-streamed or recorded. Please feel free to share. Thank you.


  *   December 1st: 10:45 - 11:45, Room 3089, Kenneth C. Rowe Management Building, 6100 University Ave
     *   Candidate - Roman Luyanenko
     *   Title - Using Innovative Information Management and Artificial Intelligence to Increase Information Quality in Citizen Science Crowdsourcing
     *   Abstract - As user-generated content becomes an increasingly important source of data for organizations, a pressing question is how to ensure that information contributed by ordinary people - the crowd - is of sufficient quality to be useful for both known and unanticipated purposes. In this paper, we examine the impact of class-based versus instance-based information management on key dimensions of information quality in crowdsourcing. We present 8 studies, including 6 experiments (laboratory, and field) and two studies with experts and machines - all in the Atlantic Canadian context. We conclude by discussing the implications of our research for theory and practice.