AI-Powered Knowledge Translation

Background
Many struggle to engage with academic research due to its complexity, specialized jargon, and time constraints. As a result, they often rely on secondary sources, which may introduce bias or misinterpretation. As research evolves, there is an increasing demand to make specialized knowledge more accessible to the general public. This prototype addresses these challenges by providing concise, engaging, and accurate research summaries that enhance accessibility without compromising research integrity.
Objectives
This project aims to develop a web-based application that leverages AI to generate structured research summaries. Content will be available in multiple formats, such as infographics, videos, and audio podcasts, to suit different learning preferences. By offering multimodal research content, we aim to support lifelong learners with diverse educational backgrounds and help them engage meaningfully with scholarly discourse.
The Team
Principal Investigators
- Dr. Patrick Pennefather, Department of Theatre and Film, Faculty of Art
Student Team
- Anh Le
- Owen Li
- Makayla Chen
- Ella Xue
- Annesha Navlakha
- Brian Moniaga
- Kibum Kim
- Lexy Smart
- Hana Yaguchi
- Kaylee Ainsworth