thank you for your interest in joining our lab. However, I am not currently accepting new graduate students at this time. I will not likely be accepting new students until fall 2023. However, please check back here for updates.
I am currently looking for students interested in pursuing undergraduate independent studies. Below are some of the ongoing research projects that might be of interest. I also regularly post new opportunities as they arise. For Fall 2020 projects, check out the projects listed here and here.
Computer Science (Mesh Technology & The Digital Divide, Decolonization & Indigenization Of Software Design, Pedagogy, Community-Engaged Scholarship, And Risk Assessment)
- CIS4900/CIS4910 students to assist with the development of community-identified and community-led web and mobile (Android or iOS) applications for data collection and information sharing in remote northern communities.
- CIS4900/CIS4910 students to develop scientific outreach media and programs for elementary and high school students in remote Indigenous communities, with a focus on STEM and Computer Science, that are grounded in current best pedagogical practices.
- CIS4900/CIS4910 students to explore case studies of software designed for Indigenous communities, with a particular focus on best practices, design tools used, and domain of application (e.g. health apps, environmental monitoring apps, games, language apps, social media).
- CIS4900/CIS4910 students to explore community-engaged scholarship as a pedagogical tool for improving the educational experience of undergraduate students studying computer science & software design (specifically), and in STEM more broadly. Students could
- identify best practices for developing a community-engaged Computer Science (or STEM) classroom,
- explore existing and/or develop new tools to support a community-engaged classroom,
- evaluate the effect of community-engaged learning on different elements of the student experience,
- evaluate the effect of community-engaged classrooms on the community,
- explore intellectual property rights pertaining to systems developed with and for the community in a community-engaged classroom,
- develop criteria for selecting a community partner such that their challenge meets the learning objectives of the course, or
- investigate methods in which students play a role in selecting the community-partner (and how best to deal with potential moral objections).
- CIS4900/CIS4910 students to apply a novel environmental Agent-Based Model to explore different ecological and conservation challenges, or to evaluate different management practices.
- CIS4900/CIS4910 students to help develop and optimize R packages for 1) spatial risk assessment, and 2) a novel environmental Agent-Based Model.
- CIS4900/CIS4910 students to analyze and interpret large amounts of data related to the undergraduate student educational experience.
- CIS4900/CIS4910 students to conduct a survey of teaching practices in Computer Science and other STEM disciplines, with a particular focus on warm-up activities, engagement activities, use of technology, the structure of course outlines and rubrics, and their potential relationship to student experience and outcomes.
- CIS4900/4910 students to help update and develop teaching tools and materials for the delivery of CIS3750, and CIS4020.
Mathematics & Statistics (Spatial Statistics, Bayesian Analysis, And Public Health & Ecological Risk Assessment)
- MATH4600/STAT4600 students to determine the most appropriate form of the Deviance Information Criterion (as per Spiegelhalter, 2002, and Celeux, et al., 2006) for evaluating spatial Poisson mixture models.
- MATH4600/STAT4600 students to apply a novel environmental Agent-Based Model to explore different ecological and conservation challenges, or to evaluate different management practices.
- MATH4600/STAT4600 students to help develop and optimizeR packages for 1) spatial risk assessment, and 2) a novel environmental Agent-Based Model.
- MATH4600/STAT4600 students to analyze and interpret large amounts of data related to the undergraduate student educational experience and its relationship to student learning outcomes.