Presentations

Invited Presentations

  • 2023 • Panelist/Speaker: Memorial University Graduate (PhD) Student Research Consortium “What I wish I knew.” Canada
  • 2021 • Speaker: Collecting Insightful Data from Crowds: How Training Affects the Diversity of Crowdsourced Data; CIS IPM Brownbag, Bentley University, USA
  • 2019 • Speaker: Designing Data Systems for Insightfulness
    MIS Talk, University of British Columbia, Canada
  • 2016 • Speaker: The Downside of Expertise: Does Domain Knowledge Have a Negative Effect on the Quality of Crowdsourced Data? Brown Bag Seminar, Memorial University, Canada
  • 2015 • Speaker: The Questionable Quality of Personal Health Record Systems
    MUN IS&OM Seminar, Memorial University, Canada

Peer Reviewed Presentations/Proceedings

  • Beard, J.; Storey, V. C.; Samuel, B. M.; Islamzada, F.; Wiedemann, A.; Ogunseye, S. (2024) “Agile Development: The Promise, the Reality, the Opportunity”. Agil-ISE@CAiSE.
  • Ogunseye, S.; Aljanaideh, A.; Murungi, D. (2024) “Comparative Advantage in the AI Era:Leveraging Generative AI for Global Competitiveness”. AAAI International Workshop on Social Impact of AI for Africa. Canada
  • Afolabi, D.; Sennaike, O.; Ogunseye, S.; Adewole, P. (2023) “RAMEN: A Ratio-Weighted
    Majority Entropy-Based Decision Tree Algorithm for Classifying Imbalanced Datasets”. IEEE
    ICECCME 2023.
  • Ogunseye, S.; Murungi, D.; Purao, S. (2023) “Combating Cyber-radicalization: Have We Paid Attention to Attention?” Northeast Association for Information Systems Conference. USA
  • Ogunseye, S.; Parsons, J. (2021) “Collecting Useful Information from Crowds: Is Experience
    Required?” International Conference on Information Systems. USA
  • Ogunseye, S.; Parsons, J.; Lukyanenko, R. (2020) “To Train or Not to Train? How Training
    Affects the Diversity of Crowdsourced Data”. ICIS Proceedings. India
  • Ogunseye, S.; Parsons, J.; Afolabi, D. (2021) “Training-Induced Class Imbalance in Crowdsourced Data”. VLDB 2021 Crowd Science Workshop. USA
  • Ogunseye, S.; Parsons, J. (2017) “Do Crowds Go Stale? Exploring the Effects of Crowd Reuse on
    Data Diversity”. Workshop on Information Technology and Systems. South Korea
  • Ogunseye, S.; Parsons, J. (2016) “The Downside of Expertise: Does Domain Knowledge Have a
    Negative Effect on the Quality of Crowdsourced Data?” AIS SIGSAND Symposium. USA