I’m a PhD candidate researching Human-Computer Interactions, Cognitive Science, and Data Science at the University of British Columbia’s School of Information. Prior to my current employment in research, I joined one of the only research teams in Canada studying various science media models (The Concordia Science Journalism Program) and studied Data Journalism and Data Science. As a Data Scientist, I built software online aimed at facilitating these newly discovered models and tested them on both scientists and science journalists. The experiments yielded positive results and I’m continuing further research by expanding into the area of Information Science and Human-Computer Interactions at UBC. The focus of my research uses Cognitive Science, Data Science, and UX Design to experiment with computer systems and Artificial Intelligence.
Featured Projects
Research Paper Awards
Winner of Best Presentation Award for ASIS&T SIG-AI (2021)
Novin, A. (2021). A Meta Framing Problem How Can A.I. Conceptualize Search as Learning? Proceedings of the Association for Information Science and Technology for SIG-AI.
Top 5 Finalist at ACM SIGDOC (2021) Student Research Competition
Novin, A. (2021). How Document-genre and Document-order in a Search Page Lead to Cognitive Biases. SIGDOC ’21: The 39th ACM International Conference on Design of Communication
Top 25 Finalist at ACM Computer-Human Interactions (CHI 2019) Student Research Competition
Novin, A (2018). Reconstructing “Real News” via Computer-Human Interactions. CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery, New York, NY, USA, Paper SRC17, 1–6. https://doi.org/10.1145/3170427.3180295
Honourable Mention for Best Paper at CHIIR (2017)
A. Novin and E. Meyers, “Making Sense of Conflicting Science Information: Exploring Bias in the Search Engine Result Page,” CHIIR ’17 Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval, pp. 175–184.
Best Paper Award for Design, User Experience, and Usability HCII (2017)
Novin, A., & Meyers, E. (2017). “Four Biases in Interface Design Interactions.” International Conference of Design, User Experience, and Usability. (pp. 163-173) Springer
Second Best Paper at AERA SIGMCL (2017)
Novin, A., & Meyers, E. (2017). Misinformed by Algorithm: How Search Engine Results Can Lead to Biased Student Writing. In Proceedings of the 2017 American Educational Research Association (AERA).
Bibliography
| Novin, A. (2022). Hypergraphing a Network of Inquiry, Search, and Retrieval. Proceedings of the Association for Information Science and Technology for SIG-AI.
Novin, A. (2021). A Meta Framing Problem How Can A.I. Conceptualize Search as Learning? Proceedings of the Association for Information Science and Technology for SIG-AI. Novin, A. (2021). How Document-genre and Document-order in a Search Page Lead to Cognitive Biases. SIGDOC ’21: The 39th ACM International Conference on Design of Communication Novin, A. (2021) “The Cognitive Biases that Emerge from Search as Learning.” Doctoral Symposium presented at l’École de Bibliothéconomie et des Sciences de l’Information (EBSI) de l’Université de Montréal et la School of Information Studies (SIS) de l’Université McGill. Montreal, Quebec. Novin, A. (2019). Calming” Internet Arguments” with Design. Proceedings of the Annual Conference of CAIS/Actes du congrès annuel de l’ACSI. Novin, A. (2018). Reconstructing” Real News” via Computer-Human Interactions. 1–6. Reynolds, R., Meyers, E., Ghosh, S., & Novin, A. (2018). Beyond Bloom’s Taxonomy: Integrating “searching as learning” and e‐learning research perspectives. Proceedings of the Association for Information Science and Technology, 55(1), 726–729. Hofman, D., & Novin, A. (2018). Blocked and chained: Blockchain and the problems of transparency. Proceedings of the Association for Information Science and Technology, 55(1), 171–178. Novin, A., & Meyers, E. (2017). “Four Biases in Interface Design Interactions.” International Conference of Design, User Experience, and Usability (pp. 163-173) Springer. Novin, A., & Meyers, E. (2017, March). Making Sense of Conflicting Science Information: Exploring Bias in the Search Engine Result Page. In Proceedings of the 2017 Conference on Conference Human Information Interaction and Retrieval (pp. 175-184). ACM. Novin, A. (2017). Contextualizing the Cognition Crisis. In SCST@ CHIIR (pp. 29-32). Novin, A., & Meyers, E. (2017). Misinformed by Algorithm: How Search Engine Results Can Lead to Biased Student Writing. In Proceedings of the 2017 American Educational Research Association (AERA). Novin, A., & Meyers, E. (2016). Controversial Search Engine Results. In Canadian Association for Information Science (CAIS/ACSI). Novin, A., & Meyers, E. (2016). USER: Understanding Search Engine Results. In Conference Presentation for iSchool Research Day at UBC. Novin, A. (2013). “DEBATECITED: An empirical experiment on the value of open-source research methods and peer collaboration in science journalism” Master’s thesis, Concordia University. Novin, A., & Secko, D. (2013) DEBATE CITED: A First Exploration of a Web Application to Enhance the Production of Science Journalism Students. Kings Journalism. Novin, A., & Secko, D. (2012) “Mapping Genozyme Debates” Paper presented at Canadian Communication Association Conference. Toronto, Ontario. Novin, A. (2011) “A Web Interface for Opening Journalism Research” Paper presented at Interface Foundations Conference. Ottawa, Ontario. |
Academic Organizations
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During my time at UBC I was a proud member of a few academic organizations worth mentioning: President of the Doctoral Student Association for the School of Information PhD representative of the Human-Computer Interaction society at UBC PhD representative of the Doctoral Studies Committee for the UBC’s School of Information Volunteer at the Vancouver Hummingbird Monitoring Network. |
For more details visit:
LinkedIn | ResearchGate | GoogleScholar
Contact
alamir.novin@ubc.ca