Usability Testing for PopIn app

The main problem we are trying to solve is to garner more user feedback through users’ experiences with our interface. We would like to understand our strengths and areas of improvement from a customer perspective. We would like to collaborate with students to conduct usability tests with pre-identified customers. We will provide our latest prototypes for these tests. This will involve several different steps for the students, including: Conducting background research on our products. Reaching out to customers and scheduling interviews. Familiarizing themselves with the usability tasks that should be administered. Conducting the moderated interviews remotely and following up with customers to thank them for their participation. Analyzing and reporting the metrics / results of the tests.

Artificial Intelligence & Machine Learning Application to Decolonize Harm Reduction Literature

Natural Language Processing for Decolonizing Harm Reduction Literature Duration: 9 weeks Develop an NLP model to analyze existing harm reduction literature and identify colonial language, perspectives, or biases. The system could suggest alternative phrasings and highlight areas where Indigenous and diverse voices are underrepresented, assisting in the decolonization of harm reduction materials. Final Deliverables: A final report including: Detailed analysis of the harm reduction literature dataset Description of the problem solved (identifying and addressing colonial language in harm reduction literature) Comprehensive explanation of methodologies and approaches used Outcomes and results of the NLP models Recommended next steps for implementation and further development Source materials including: All code used in data preprocessing, model development, and evaluation Jupyter notebooks or similar workbooks documenting the entire process Trained model files and any necessary dependencies A presentation summarizing the project, key findings, and potential applications for the J Healthcare Initiative