Participants join this program with a project that they either are already working on or want to develop during this program.
For this round of the Openseeds program, we are happy to have 80 participants with 80 projects.
Projects
Enhancing AI Knowledge Among Women, Racialized Groups, and First-Generation Students
By: 
Mentored by: 
Keywords: Semantic Communication, 6G Networks, Resource Optimization, Wireless Networks, Ai Awareness, Equity, Inclusion, Digital Research Infrastructure
As an EDI champion in research, my personal learning goals related to open science include deepening my understanding of how to make research more accessible and transparent to diverse communities. I aim to explore effective strategies for sharing data, tools, and findings in ways that are inclusive and culturally responsive, ensuring that underrepresented groups have equal opportunities to contribute to and benefit from scientific advancements. Additionally, I want to learn more about fostering collaborative, cross-disciplinary partnerships that prioritize openness, diversity, and the removal of barriers to participation in research.
kaykwy chi tootamaahk? (What do we do next?): Localizing CARE and FAIR to Develop Métis-driven RDM Guidelines and Training for Métis Data in Saskatchewan
Mentored by: 
Keywords: Indigenous Literatures; Indigenous Comics; Indigenous Methodologies; Literary Criticism; Collaboration; Community Research;
I’m interested in whether there are viable ways to manage the logistical security issues with projects like these as well as the ethical nuances in regards to questions like: how will we manage access to online information, but share it as widely as possible and ensure community members know how to access it?; if logging in online, how will we confirm identity?
Experiences of indigenous people with virtually-provided health care in Canada
By: 
Mentored by: 
Keywords: Indigenous Health, Medical Learner, Engineering, Privacy, Information Protection, Qualitative Research, Teaching, Mentoring
Through open science in my project, I would like to:
- share ways to enter the research field with other indigenous students
- develop a method to incorporate principles of data sovereignty into publicly-funded open research tools in Canada
ARC is for Everyone: Training, Mentorship, and Resources in Advanced Research Computing for Women in STEM
Mentored by: 
Keywords: Computational Biology, Molecular Modelling, Biophysics, Data Science, Science Communication
As a computational student, I feel that open science is especially important for my own work moving forward. I would like to make sure that my code, models, and source data are managed properly and remain accessible. I am very passionate about equity and accessibility in science and interested in careers at the intersection of scientific research, policy, and communication. As such, having access to DRI resources and communities in open science would aid me as a computational researcher and throughout my career in science.
The application of a broad to narrow scope approach to improve digital research infrastructure (DRI) service awareness and utilization by equity-seeking communities in microbiome research, and other integrative disciplines
Mentored by: 
Keywords: Plant, Molecular, Cellular Biology, Microbiome, R Studio, Command Line, High Throughput Sequencing Data Processing
In my academic work I have recently started to benefit from DRI-related knowledge and resources and would like to enable others to have access to those benefits, targeting those who have faced similar barriers that I’ve experienced. I am a female, a visible minority and first generation post-secondary student in academic and would like to provide other aspiring researches like me with relatable role models, particularly in STEM disciplines.
Influence of Demographics and Injury Severity on Behavioural Impairments in Traumatic Brain Injury
Mentored by: 
Keywords: Kinarm, Sensorimotor, Behaviour, Motor Learning, Motor Adaptation, Traumatic Brain Injury
I want to deepen my understanding of how open science can be effectively integrated into interdisciplinary research, ensuring that diverse communities benefit from shared knowledge. I’m also aiming to learn more about ethical considerations in data sharing, particularly in relation to Indigenous peoples.
Challenges and Adaptation Required to Access to DRI Services among Researchers with Disabilities
By: 
Mentored by: 
Keywords: Rehabilitation, Child Development, Researcher
To know what is open science, what can offer me as a researchers and learn how to use it.
Breaking Barriers in AI for Materials and Molecules
By: 
Mentored by: 
Keywords: Batteries, Nanomaterials, Artificial Intelligence, Density Functional Theory, Computational Chemistry
As an EDI champion in research, my personal learning goals related to open science include developing a deeper understanding of how to make research practices more accessible and equitable for diverse communities. I aim to learn how to effectively share data and methodologies in ways that encourage participation from underrepresented groups and foster global collaboration. Additionally, I seek to incorporate the specific applications that these subgroups are focusing on.
Enhancing Diversity and Inclusion in Computational Fluid Dynamics: A Culturally Responsive
Accessibility Initiative. {#enhancing-diversity-and-inclusion-in-computational-fluid-dynamics-a-culturally-responsive-accessibility-initiative}
By: 
Mentored by: 
Keywords: Openfoam, Cad, Python, Linux, Cfd, Nax, Latex, Hpc, Ansys,
I want to be equipped on how to get my message across in the best possible way with respect, dignity and understanding of individuals background, perspective and uniqueness
My target audience are Minorities who are working in my field of research. I want to learn how to make their experience no matter how short while working with me worth it
Exploring the impact of digital literacy on digital research participation for disabled women and gender diverse people in Canada from diverse socioeconomic status backgrounds
By: 
Mentored by: 
Keywords: Qualitative, Digital, Health Equity, Disability, Women, Girls
As an EDI champion in research, my personal learning goals related to open science focus on deepening my understanding of how open-access data and publications can promote inclusivity, especially for women and gender diverse people with disabilities. I aim to explore ways to make research outputs accessible to marginalized groups, particularly disabled and gender-diverse individuals, while ensuring ethical data sharing practices that respect participants’ privacy and consent. Additionally, I want to learn how to integrate open science principles into participatory research methods, fostering co-creation of knowledge with underrepresented communities and amplifying their voices in scientific discourse.
Championing the use of Digital Research Infrastructure amongst nursing researchers in Canada: Sex-Gender Digital Health Equity Research Hub proof of concept and knowledge dissemination to national nursing associations.
By: 
Mentored by: 
Keywords: Ehr Standards, Terminology Standards, Health Equity, Snomed Ct, Nursing, Decolonizing
1) Become familiar with Open Science philosophy and concepts. 2) Become familiar with Open Science platforms and tools. 3) Share my expertise and advocate for open science.
Improving Onboarding Accessibility and Support for Alliance DRI
Mentored by: 
Keywords: Machine Learning, Class Imbalance, Artificial Intelligence
I want to find better ways to communicate and share my research in addition to the standard journal and conference style. I aim to explore innovative ways to break down barriers to participation in research, ensuring that diverse voices and perspectives are included in the scientific process. <y personal learning goals related to open science focus on understanding and implementing practices that make scientific knowledge more accessible and reproducible for all.
Translating habitat change modeling for Caribou conservation with Indigenous insights
By: 
Mentored by: 
Keywords: Ai Fairness, Large Language Models, Multi-Modal Models, De-Biasing Ai Models, Parameter Efficient Fine-Tuning Of Ai Models.
I look forward to acquiring advanced skills and knowledge about how to operationalize effective open science practices. As a young scientist and EDI champion, one of my goals is to make a significant contribution to the DRI-EDIA and OLS efforts to encourage healthy open science practices.
Chemderful: A Neurodiverse Molecular Modeling Society for Equitable Molecular Sciences Education
By: 
Mentored by: 
Keywords: Habitat Management, Gis, Remote Sensing
I want to learn how to sustain an open chemical education initiative that delivers interactive molecular models to the hands of every chemistry student worldwide.
Advanced Research Computing Within Reach for All at McGill
By: 
Mentored by: 
Keywords: Molecular-Modelling, Drug-Discovery, Entrepreneurship
I would like to become much more comfortable with using GitHub, and possible create a webpage for sharing data. Also, I would like to learn what there is to learn. I am sure upon hearing more about open science, I will discover more skills I would like to develop.
From Pixels to Purpose: Leveraging In-Person and Online Platforms for Data-Driven Advocacy For EDIA in The Use of Digital Research Alliance of Canada Resources
By: 
Mentored by: 
Keywords: Data Analysis, Cosmology
As an EDI champion in research, my personal learning goals related to open science include deepening my understanding of the landscape of open-access journals to identify platforms that are both credible and accessible. I aim to enhance my skills in advocating for more equitable funding models that support open-access publishing, especially for underrepresented researchers. Furthermore, I’m committed to learning about and implementing more inclusive practices in data sharing and collaboration, ensuring that open science truly benefits and is shaped by diverse communities.
A Comprehensive Dataset: Capturing Brain Signals from Individuals with Cerebral Palsy Across Diverse Populations
By: 
Mentored by: 
Keywords: Drosophila Melanogaster , Muscle Repair , Cell, Molecular Biology , Equity, Diversity, Inclusion,, Accessibility (Edia) , Scientific Outreach, Advocacy , Science Communication
For the DRA project, I plan to collect a dataset from physiological signals of individuals with Cerebral Palsy (CP). I recognize the importance of managing populations from diverse backgrounds, especially given the physical and mental challenges they face due to their condition. It is crucial to understand how these difficulties affect their overall well-being. As they may experience physical and emotional fatigue, learning effective management strategies is essential to lead a team that works closely with them. This knowledge will help ensure that we provide compassionate and structured care throughout the project.
Advancing Equity in Forestry: Digital Research Infrastructure (DRI) and Deep Learning (DL) for All
Mentored by:
Keywords: Signal Processing, Machine Learning, Cerebral Palsy
Deepening my understanding of how to make research more accessible to underrepresented groups, both in terms of participation and access to findings. I aim to improve my skills in sharing data and code transparently while ensuring that ethical considerations, such as privacy and consent, are upheld.
Utilizing Digital Research Infrastructure (DRI) to Develop Environmental DNA Tools for Biodiversity Monitoring in Indigenous Lands
By: 
Mentored by:
Keywords: Remote Sensing, Forestry, Deep Learning, 3D Modeling, Gis
I aim to bridge the gap between the science and application of environmental DNA. I hope to provide an equitable tool to end-users by building capacity and network within the communities I am working with.
Bioinformatics for Everyone
By: 
Mentored by: 
Keywords: Environmental Monitoring, Freshwater Biology, Environmental Dna, Paleolimnology
Improve my communication skills Learn how to use open science tools, such as data repositories and open source software Improve the accessibility of my research and outreach materials Practice skills for organizing and promoting outreach/teaching events Exchange ideas and discuss open science in a diverse environment
Bridging the Digital Divide: Empowering Equity-Seeking Researchers with Alliance DRI Tools
By: 
Mentored by: 
Keywords: Evolution, Genomics, Genotype-Phenotype, Bioinformatics, Cetaceans, Bioacoustics, Echolocation
As an EDI champion in research, my personal learning goals related to open science revolve around deepening my comprehension of open data practices and honing skills in collaborative research approaches. My goal is to understand how to effectively engage diverse communities and empower marginalized communities in the research process. Additionally, I want to explore best strategies for openly sharing research findings to ensure that these findings are accessible to anyone. This I believe would provide an environment that is more inclusive and equitable.
Introducing potential opportunities in applying DRI for research and building professional skills for persons living with visible and invisible disabilities
By: 
Mentored by: 
Keywords: Machine Learning, Natural Language Processing, Data Science, Software Development
My personal goal is to improve knowledge about and access to DRI to mitigate these barriers in several ways, including organizing a virtual event for the community of persons with disability, which is necessary to listen and understand all existing obstacles, and establishing an association help the Alliance to monitor the problems more effectively and can provide better support for this community. Besides, people who attend the virtual event will be invited to join the association, learn more as this project progresses, and provide better feedback directly to the Alliance.
Promoting Open Science in Human Factors Engineering with Researchers from Equity-Seeking Groups
Mentored by:
Keywords: Computational Fluid Dynamics (Cfd), Numerical Simulation Of Thermo-Fluids Processes, Flow Control
I want to learn what effective and ethical data governance looks like for open data projects. I also want to learn how to build a strong and active community around a data project.
Réseau des Étudiants Chercheurs de l’Alliance de Recherche Numérique à l’UQAM (RECARN-UQAM)
By: 
Mentored by: 
Keywords: Human Factors, Usability, Digital Health, Equity
As an EDI champion in research, my personal learning goals related to open science include deepening my understanding of how to create more accessible and equitable research platforms. I aim to explore strategies for mitigating barriers faced by underrepresented groups, ensuring that open science practices truly benefit everyone. Additionally, I want to enhance my knowledge of ethical data sharing and responsible research dissemination, so that open science is both transparent and respectful of privacy and intellectual contributions across diverse communities.
Bridging the Gap: Catalyzing High-quality Research with Digital Tools, Services and Infrastructure from the Digital Research Alliance of Canada
Mentored by: 
Keywords: Robotics, Iot, Computer Vision, Reinforcement Learning, Internet Of Things, High-Performance Computing
I am looking forward to have an updated perspective on the matter, since it has always been a subject I am quite interested in and I actively try to incorporate into my research, but mostly at an individual level so far. After reading the course content, I am particularly interested in learning the following topics: (Design) Illustrate the need for a project, its vision, and its goals; (Build) Start any project with openness in mind from day one.
Promoting Digital Research Infrastructure in Equity-Focused Research: Forming Sustainable Connections with Early-Career Translational Researchers
By: 
Mentored by:
Keywords: Computational Simulations, Density Functional Theory, Molecular Dynamics, Data Science, Electrochemistry, Teaching, Learning
While I have experience working within equity-deserving communities in a volunteering setting, this would be my first time working within an academic context. I hope to understand the project-related barriers unique to this context and develop a toolkit for navigating them.
Developing Accessible Computational Tools and Inclusive Training: From Computational Sciences to Health Sciences
By: 
Mentored by:
Keywords: Hiv Prevention, Narrative Medicine, Translational Research
I would like to learn more about the theories, and practices on how to prompt open science, which can help me to fill in the interdisciplinary gaps.
Bridging Quantum Mechanics and Machine Learning: Developing an Open-Source Software for Efficient Data Processing for Advanced Research Inclusivity
By: 
Mentored by: 
Keywords: Computational Drug Discovery, Software Development, Machine Learning, Open Science
My personal learning goals include mastering how to make advanced computational tools accessible and usable for equity-seeking groups. I aim to develop expertise in creating platforms that bridge complex scientific tools with machine learning, all while ensuring these platforms are user-friendly and open. Learning how to promote open-source initiatives that are inclusive and accessible is key to my work.
Training Racialized Groups in the Faculty of Sciences on Digital Research Infrastructure (DRI) Utilization
By: 
Mentored by:
Keywords: Phase Field Modeling,Density Functional Theory,Machine Learning,Material Science,Solid Mechanics
My learning goals are mastering data management, security, sharing, and privacy, frameworks, including data repository software/platform. Additionally, I would like to learn about data manipulation, visualization, and analysis using analytic tools and collaborative research software.
Training 2SLGBTQIA+ researchers on Canadian digital research infrastructure via social media outreach
Mentored by: 
Keywords: Quantitative Research, Statistics, Teaching, Systematic Review, Meta-Analysis, Qualitative Research
I want to look how to be fully open in science - specifically at all stages of a project. For me, this means from idea conception all the way to publishing.
Community Driven Accessible Mini-Courses and Workshops to Further the Uptake of DRA DRI Resources
By: 
Mentored by:
Keywords: Machine Learning, Interpersonal Connection, Emotion, Music
My major goal as an EDI champion in research is to obtain more experience creating accessible educational materials. This material could be for the EDIA champion project, or for my personal research. Additionally, my research goals after the competition of my thesis are to make AI explanations more accessible (e.g. for people who use screen readers), to make AI use more equitable.
Empowering Equity-Seeking Students Through DRI and High-Performance Computing Training
By: 
Mentored by:
Keywords: Machine Learning, Natural Language Processing, Generative Ai, Explainable Ai,
As an EDI champion in research, my personal learning goals related to open science include deepening my understanding of how open data and resources can be leveraged to promote equity, diversity, and inclusion within the scientific community. I aim to explore ways to make scientific computing tools, datasets, and knowledge more accessible to underrepresented groups, ensuring that marginalized and equity-seeking researchers have equal opportunities to engage with cutting-edge technologies like HPC and DRI. Additionally, I seek to learn effective strategies for fostering inclusive collaboration in open science that actively reduces barriers for women, first-generation students, and geographically isolated researchers.
A Holistic Dataset for Evaluating Bias in Large Language Models
By: 
Mentored by: 
Keywords: Particle Physics, Physics, Python, Data Analysis, Coding
As an EDI champion, my personal learning goals include deepening my understanding of the ethical implications of data sharing and mastering methods for de-identifying data to ensure privacy while minimizing the risks associated with data dissemination. Another key objective is to create a dataset through this project that promotes equitable access to large language models (LLMs) as a public resource, ensuring that services remain accessible to all individuals regardless of gender, sexual orientation, or race. By focusing on these areas, I aim to contribute to a more inclusive and ethical open science community.
DRI EDIA Champions Collective
By: 
Mentored by:
Keywords: Community Building Knowledge Sharing Discord Server Edia Champions Dri Knowledge Community Forums Digital Knowledge Exchange
As an EDI champion in research, my personal learning goals related to open science include deepening my understanding of how to make research processes and findings more accessible to underrepresented communities. I aim to explore innovative ways to integrate open-access tools that promote collaboration while ensuring that diverse voices are meaningfully included throughout the research lifecycle. Additionally, I seek to learn how to navigate ethical considerations in data sharing and engage communities in co-creation, fostering transparency and inclusivity in the dissemination of knowledge.
Inclusive Research: Increasing DRI Access and Engagement for Black Scholars at the University of Lethbridge
By: 
Mentored by: 
Keywords: Mal/Mis/Disinformation, Black Digital Humanities, Critical Discourse Analysis, Digital Afrocentrism, Humanistic Prompt Engineering, Computational Social Sciences, Corpus Linguistics
My learning goals focus on understanding and addressing the unique barriers faced by underrepresented groups in accessing and contributing to open science initiatives. I hope to explore innovative ways to make open science practices more inclusive and equitable, particularly in terms of data sharing, collaborative research, and publication accessibility. I seek to develop strategies for promoting cultural competence within open science communities to ensure that diverse perspectives and knowledge systems are valued and integrated into the open science ecosystem
Bridging the gap: Increasing equitable access to research data among graduate women researchers in the academic community in Lethbridge, Alberta
Mentored by:
Keywords: Quantitative Research, Qualitative Research, Data Collection, Data Management
As an EDI champion in research, my personal learning goals related to open science are: First, I must ensure transparency in my research in order to make it visible. Second, open science encourages openness in sharing with others; hence, I must ensure that my research is made accessible and usable to other researchers to facilitate learning and reproducibility for various purposes. Third, another personal learning goal is ensuring inclusivity by involving more contributors in my research to make it more robust and viable for people who the research targets to benefit from it.
Roots/Routes: Stories of Diaspora on Philosopher’s Walk
By: 
Mentored by: 
Keywords: Philosophy Of Higher Education, Multispecies Ethnography, Student Mental Health
I’m interested in how open science can incorporate community-driven research, where diverse stakeholders are involved from the outset. Additionally, I want to explore strategies to ensure that data and knowledge shared openly are not just accessible, but also usable and relevant to a wide range of communities.
Inspiration, Orientation et Médiation des Sciences du Numérique : Focus sur les Femmes, en particulier les Femmes PANDC
By: 
Mentored by: 
Keywords: Mathematical Modelling, Epidemiology, Control, Data-Science, Education, Scientific Outreach
My personal goals are at several levels:
1 - I create content on YouTube, LinkedIn, and TikTok, and this content is open to everyone. I will continu to improve that 2 - During my PhD, as soon as I had the opportunity to publish my article as open access, I immediately chose that option. Unfortunately, for some journals, there are fees, and our research centers do not always have the finances to cover them. 3 - In my postdoctoral work, I always aim to publish openly whenever the possibility is available. 4 - I will be working with primary and secondary students in my project as an EDIA champion, and I will have the opportunity to talk to them about Open Science at an early stage.
Digital research infrastructure for a neglected group and discipline: Advancing equitable access for racializedresearchers in Social Sciences at Uottawa
By: 
Mentored by:
Keywords: Food & Agricultural Law, Racial Justice, Gender, Socio-Legal Research, Law, Global South Perspectives
As an EDI champion in research, my personal learning goals for open science include deepening my understanding of its principles—transparency, accessibility, and collaboration—to advocate effectively within my research community. I aim to implement inclusive research practices that represent diverse perspectives, particularly from marginalized communities. A priority is making research outputs more accessible to those facing barriers, such as non-academic audiences, developing regions, and individuals with disabilities.
I also aim to develop skills in responsible data management and sharing, ensuring participants’ rights and privacy are respected. Additionally, I seek proficiency in open science tools and platforms that enhance collaboration and dissemination. Finally, I want to strengthen my ability to foster inclusive collaborations across disciplines and cultures, ensuring open science adapts to different contexts while maintaining equity.
Leveraging AI and Neurodiversity-Informed Pedagogy to Enhance Education, including Legal Education
By: 
Mentored by: 
Keywords: Education, Educational Approaches, International Space Law, Policy, Regulation Of Artificial Intelligence Systems – Especially In Outer Space Activities, International Relations, Sustainable Development Agendas, Policies
As an EDI champion in research, my learning goals related to open science focus on promoting equitable access to knowledge and ensuring that diverse voices are represented in scholarly discourse. I aim to deepen my understanding of how open science can dismantle barriers to participation for underrepresented groups and enhance the transparency and inclusivity of the research process. By exploring the intersection of EDI principles and open science, I seek to contribute to a more accessible, diverse, and collaborative global research community.
Empowering Women in Environmental Sciences: Contextual Tutorials for Digital Research Infrastructure
By: 
Mentored by: 
Keywords: Earth System Modelling, Terrestrial Biosphere Modelling, Biogeochemical Cycles, Wildfire Emissions
As an EDI champion in research, my personal learning goals related to open science include exploring the open science platforms and resources available. I’m particularly interested in options for sharing datasets and codebases, as well as understanding the roles and responsibilities involved in maintaining open science practices. Additionally, I aim to enhance my skills in communicating research effectively, ensuring that information can reache a wider audience and is more easily accessible for future use.
Academic Research Made Simple (ARMS)
By: 
Mentored by: 
Keywords: Research, Analysis, Policy Development, Teaching
One of my learning goals is to acquire in-depth knowledge and skills in Data Curation, Dataverse Metadata, Research Data Management, Research Data Repositories, Institutional Research Data Management Strategies and Cloud Computing among others. Another goal is to be equipped enough to be able to train others with the knowledge/skills I receive.
Convolutional Neural Networks for Diagnosis of Parkinson’s Disease
By: 
Mentored by: 
Keywords: Machine Learning, High Performance Computing, Uncertainty Quantification, Bayesian Inference, Computational Modelling For Partial Differential Equations, Scalable Solver Development
I would like to be an active voice in representing the research community in following best practices and spreading excellent research contributions to the world.
“Cultivating 21st Century Skills/DRI for Sustainable Development Goals in Supporting Participatory Research Involving Children with Refugee Experience”
Mentored by:
Keywords: Qualitative Researcher Specializing In Child’S Agency Et Ethics, Refugee Researcher, Digital Media, Technology Researcher, Fellow At Participatory Cultures Lab
First, I aim to learn how to support my teammates and researchers in the Participatory Cultures Lab. This firsthand experience deepens my understanding of how this method works and how inclusive research practices can be integrated into open-access platforms. I have always been interested in knowledge mobilization and how we, as researchers, can facilitate the circulation of knowledge. I am eager to explore strategies for fostering diverse collaborations that promote transparency, inclusivity, and ethical considerations, especially in the context of interdisciplinary and cross-cultural studies and research outcomes.
Understanding the Principles of CARE, FAIR, and OCAP in the context of localized Indigenous communities
By: 
Mentored by:
Keywords: Digital Humanities, Indigenous Studies, Indigenous Literatures, Archival Research
I hope to expand my understanding of open science, so that I have a better grasp of how my own work in Indigenous Studies fits within this framework and so that I can go on to advocate for the inclusion of Indigenous data in open science contexts. I hope to learn new skills that I can share with my research colleagues at Simon Fraser University, and also within our wider Indigenous Studies research community in Canada. I also hope that I will engage in thoughtful conversations with new colleagues/mentors about topics relating to access and protocols, to consider how other scholars are navigating these concerns and to gain insights that might inspire new directions in my own work.
Utilizing the Digital Research Alliance of Canada Infrastructure for Artificial Intelligence-driven COVID-19 Gene Discovery
By: 
Mentored by:
Keywords: Bioinformatics, Health Data Science, Deep Learning, Statistical Genetics, Inclusive Ai, Explainable Ai
As an EDIA Champion, I hope to learn how to ensure that the software tools and methods I develop are open and accessible, while adhering to ethical standards for handling sensitive patient data. I would also like to learn about strategies for fostering interdisciplinary collaboration and how to build or seek out diverse perspectives within research teams. I also hope to learn strategies for community engagement and how to actively involve stakeholders and underrepresented groups in my research. Additionally, I hope to learn how to measure engagement and the impact of open science practices within the research community. Through the EDIA Champions program, I hope to contribute to a more inclusive scientific community.
Building a multiplexed imaging data repository to increase accessibility for equity-seeking groups
By: 
Mentored by:
Keywords: Biochemistry, Molecular Biology, Multiplex Imaging,
As an EDI champion, my learning goals in open science are related to developing my understanding of equitable access to research resources and improving this access for equity-seeking groups. I want to support historically underrepresented individuals that lack access to specific technologies and resources in learning how to use alternative resources within their own work, in order to foster more openness and inclusivity in research. As such, I want to develop specialized strategies for removing barriers for underrepresented groups in science to benefit from open science resources, and I want to improve my ability to incorporate diverse perspectives in all stages of the research process.
Assessing EDIA & DRI Challenges and Needs and Introduction of DRI Tools to Graduate Students Across Six Disciplines
By: 
Mentored by: 
Keywords: Computer Science Education, Computational Thinking, Educational Games, Primary School Educational Tools, Cost Accessibility
I want to develop strategies for effectively communicating the importance of open science and EDI to a broader audience, fostering a more inclusive and collaborative research community. I also seek to learn more about how to support different groups where I may not be as knowledgeable.
Identifying indicators of inequity in Statistics Canada datasets and understanding the experiences of CRDCN researchers belonging to equity deserving and seeking groups
By: 
Mentored by: 
Keywords: Social, Mental Health Equity, Semi-Structured Interviews, Statistics Canada, Community Based Survey Analysis, Edia, Intersectionality Frameworks, Culturally Adapted Mental Health Interventions
I would like to learn about the best practices for creating public knowledge for the use of restricted and sensitive data. It would be good to learn and unpack practices, including basic data management and Findable, Accessible, Interoperable, Reusable (FAIR) data principles.
Improving accessibility and awareness to Advanced Research Computing (ARC) and Research Data Management (RDM) for International Women Students Engaged in Genomics Research at McGill University.
By: 
Mentored by:
Keywords: Metagenomics, Computational Biology, Science Education, Inclusive Learning Techniques
As an EDI champion in research, my personal learning goals related to open science include deepening my understanding of how to make research practices more accessible and inclusive, particularly for underrepresented groups in STEM. I aim to learn and share strategies that promote data transparency and reproducibility. Additionally, I seek to learn how open science frameworks can better support equitable access to research tools, such as advanced computing resources, especially for international students and researchers from low-resource settings.
Enhancing Awareness and Training of the Alliance’s Digital Research Infrastructure for Equity-Seeking Groups in Evolutionary Biology
By: 
Mentored by:
Keywords: Invasive Species, Genetics, Ecology, Evolution, Teaching Pedagogy
I want to learn strategies on how to make scientific information, such as scientific knowledge and research skills, more accessible for everyone. I also want to know how it is best to centralize this information, so it easy to access in the future for everyone. It would also be great to learn about barriers that individuals face when accessing science and how best to diminish these barriers.
Cultivating Community Capabilities: Navigating Justice and Respect in the Humanities Data Ecology
By: 
Mentored by:
Keywords: Organizations, Sociotechnical Systems, Research Policy, Governance, Actionable Knowledge
I have had training on open science best practices, i.e. how things should work, but as an EDI champion I would like to learn more about the institutional and cultural barriers to conducting open science. Additionally, I would like to learn more about successful open science models that prioritize issues of accessibility, particularly when workin with non-scientists/professional researchers, or to support equitable community oriented research.
Inclusion et équité numérique en recherche pour les étudiants chercheurs et chercheuses originaires d’Afrique subsaharienne et des Caraïbes de l’Université Laval (IENR-Afro-Ulaval)
By: 
Mentored by:
Keywords: Inclusion, Équité, Numérique, Étudiant, Afrique Subsaharienne, Caraïbes
En tant que champion de l’EDI, je vise à développer mes compétences pour favoriser la collaboration entre chercheurs et communautés diverses. Je souhaite approfondir ma compréhension des meilleures pratiques en matière d’accès ouvert aux données, afin de rendre la recherche accessible à tous. Enfin, je m’efforce d’explorer des approches innovantes pour engager activement les parties prenantes, garantissant ainsi que leurs voix soient intégrées dans le processus de recherche.
Exploring intersectionality and academic barriers
By: 
Mentored by: 
Keywords: Microbiology, Analytical Chemistry
I want to better understand open science and want to ensure my research is accessible and inclusive to everyone. I am still learning about open science and hope to have a better understanding of my goals the more I learn.
Indigenous nation led data management, sharing knowledge on community concerns to community rightsholders, with a case study on algal blooms
By: 
Mentored by:
Keywords: Microplastics, Microbial Ecology, Freshwater Microbiology, Plastisphere, Metagenomics.
I want to learn about data management plans and how data can be more accessible to community and collaborators. I would like to learn about was that community can be engaged in the science.
Empowering Communities: Research Data Management for Social Justice
By: 
Mentored by:
Keywords: Digital Activism, Feminism, Digital Culture, Sexuality, Body, Social Media
As an EDI champion in research, my personal learning goals related to open science include deepening my understanding of best practices for data sharing and open access publishing, ensuring that these processes are accessible to all. I aim to develop skills in fostering inclusive collaboration, particularly in engaging underrepresented groups in research initiatives. Additionally, I want to learn more about the ethical considerations surrounding open science, particularly in relation to privacy and consent, to ensure that all participants feel respected and valued in the research process.
Strengthening Digital Research Infrastructure at Trillium Health Partners: Advancing Equitable Access for Racialized Researchers
By: 
Mentored by:
Keywords: Preventive Medicine, Epidemiologic, Statistical Methods, Implementation Science, Applied Machine Learning, Data Science, Non-Communicable Diseases, Health Systems Strengthening
As an EDI champion in the OLS cohort, I would like to improve my skills in using collaborative research platforms such as GitHub to enhance my collaboration with researchers in both developed and underdeveloped countries. I also aim to learn about open data sharing in repositories including how to prepare and manage such data while ensuring data privacy and security. In addition, I would like to improve my skill in the dissemination of research findings to non-academic audiences using media beyond journal articles such infographics, blog posts and policy briefs in plain language to facilitate their understanding and increase their potential for impact.
Footwear Science and Fall Prevention in Indigenous Population
Mentored by:
Keywords: Digital Health, Artificial Intelligence, Biomedical Engineering, Equity In Research
As an EDI champion in research, my personal learning goals related to open science include deepening my understanding of how to ethically balance transparency with privacy, especially when working with sensitive or culturally significant data. I aim to explore best practices for making research more accessible to diverse communities by improving the usability and inclusivity of open data platforms.
Fake News Detection in Social Media
Mentored by:
Keywords: Programming, Training, Teaching
As an EDI champion in research, my goal is to learn how to create more accessible and transparent research processes that encourage broader participation from underrepresented groups. I want to explore how open science can break down barriers to knowledge sharing, making it easier for diverse voices to contribute. I’m also focused on understanding the ethical considerations of open science, ensuring that data privacy is respected while promoting inclusivity.
Algorithmic Trading using Machine Learning Models
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Mentored by:
Keywords: Software Engineering, Inclusive Collaboration, Web Development, Database, Git/Github, Linux Administration
My goal is to achieve a deeper understanding practices for open science to increase equity in research access and participation. I want to learn about the tools and platforms that enable open research so that I can advocate for them and use them for my own research.
Empowering women researchers in STEM: Creating an inclusive and supportive environment to leverage Advanced Research Computing services
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Mentored by: 
Keywords: Machine Learning, Generative Models, Software Development, Computer Vision, Cuda Programming, Data Analysis, Deep Learning
As an EDI champion in research, my personal learning goals related to open science include fostering greater inclusivity by ensuring that research tools and knowledge are accessible to underrepresented groups in STEM, particularly women. I aim to develop strategies to bridge the gap between advanced technologies, like Digital Research Infrastructure (DRI), and marginalized researchers, particularly women and racialized groups. Additionally, I want to enhance my understanding of how open science can drive collaboration across diverse communities, ensuring equitable access to resources, and contribute to the advancement of research through transparent, inclusive practices
Equitable Sight: Co-Design Data Governance for CAN-VIEW with the Southern Chiefs’ Organization
By: 
Mentored by: 
Keywords: Health Informatics, Data Governance, Indigenous Data Sovereignty, Vision Care, Diabetic Retinopathy, Research Data Management
My primary learning goal is to deepen my understanding of how open science can create equitable access to knowledge and resources, particularly for underserved communities. By sharing knowledge widely, we empower others and create a foundation for more informed, collaborative research. I aim to learn how to provide this platform for others, ensuring that my research is both accessible and useful to a broader audience, while fostering a culture of inclusion and transparency.
Advancing and Promoting Quantum Computing (Research) using Alliance DRI to Current and Future Quantum Scientists
By: 
Mentored by:
Keywords: Quantum Programming, Quantum Algorithms, Quantum Simulation, Applied Crystallography, Machine Learning, Optimization
I would like to get more familiar with the concepts of open science. In theory, open science should allow us to do science more effectively. However in the present day, there are practical limitations to implementing open science principles. Many entities must come together to play their part in facilitating an open and inclusive research process. I would like to know how these issues may be addressed at different levels, i.e. from researchers, academic institutions and industries, academic publishers, governments etc.
Expanding Knowledge of Digital Tools by Cree Researchers in Chisasibi
By: 
Mentored by:
Keywords: Physics, Mathematics, General Relativity, Cosmology, Indigenous Education
As stated in my project proposal, I would like to learn more about data platforms and repositories used by researchers in Canada and worldwide. The Indigenous-led research center where I will be delivering workshops is located in a geographically isolated community. Hence, the most effective way for them to connect with the broader research community in Canada and worldwide is through digital platforms, which is why it is critically important that they learn about such platforms. I would also like to learn more about data management tools and software which can be used to organize and process data. For example, as part of the workshops, I would like to help the researchers write data management plans for their own research. Finally, although this is not specifically related to open science, I thought it might be worth mentioning that I will be learning R in the next couple of months. After discussing with members of the research center, we decided that the workshops should involve a brief introduction to programming using R. I am already quite familiar with Python, and have used it extensively as part of my research.
InDABA - Initiative pour le Développement, l’Accès et le Balisage des données de recherche noires / Inception of Data in Academia for Black Acknowledgement
By: 
Mentored by:
Keywords: Justice Épistémique, Science Ouverte, Savoirs Noirs, Savoirs Autochtones, Données Noires, Données Autochtones, Conflit Ontologique
Deux principales raisons m’incitent à travailler de manière ouverte et inclusive dans la recherche. D’abord, j’ai déjà eu par le passé l’impression que mes connaissances ou mes idées n’étaient pas suffisamment pris en compte. Depuis, j’essaie d’adopter des pratiques de travail exemplaires pour ne pas « infliger » la même impression à mes collègues. Ensuite, je suis tout à fait convaincu que travailler de manière ouverte et inclusive ouvre la voie à des réponses inattendues et à des solutions innovantes et légitimes, même si le processus peut parfois être long.
Bridging Gaps in Research Computing for Canadian Persian-speaking Immigrants
By: 
Mentored by:
Keywords: Bioinformatics, R, Bash, Mircobial Ecology, Meta-Omics, Biostatistics, Network Analysis
As an EDI champion in research, my learning goals related to open science include enhancing equitable access to knowledge while ensuring data security, especially in sensitive fields like bioinformatics. Committed to open-source science, I have made my analysis scripts available on GitHub and shared key datasets in public repositories. I also assist underrepresented communities in overcoming access barriers. In 2023, I founded the ICOIA online school, offering free scientific courses to Persian-speaking students and addressing educational inequalities caused by political instability and isolation. I aim to foster greater inclusivity and collaboration in global research networks through these initiatives and publishing open-source articles.
No Boundaries -Accessible Digital Research Spaces for Black Female Scholars in Social Science Research
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Mentored by:
Keywords: Gender, Violence, Qualitative Research, Social Science Research, Law, Human Rights
As an EDI champion, my personal learning goals involve the effective use of the Digital Research Alliance’s resources to improve my research. A main objective for me is to model the impact of relevant training to develop skills needed in collating, organizing, and analyzing big datasets and supporting the best practices in data management and storage. I am leveraging this opportunity to develop and encourage capacity-building for young Black female scholars in the social science field towards enhancing our potential to contribute to academia and policy.
Enabling access to LLMs using compression methods and understanding its potential impact on the algorithmic bias
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Mentored by:
Keywords: Machine Learning, Ai, Efficient Ml
Contribute to the machine learning community and help investigate the biases of LLM towards minority sub-population groups.
Bridging the Digital Divide: Bringing DRI to Remote and Underserved Communities
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Mentored by:
Keywords: Quantum Chemistry, Software Development
As an EDI champion, my personal learning goals related to open science focus on understanding open access principles and their impact on research dissemination. I aim to learn effective methods for fostering equitable collaboration and creating supportive environments for diverse voices. Additionally, I want to enhance my skills in data management and sharing to contribute to a more inclusive research ecosystem. I also seek to explore how collaborative platforms and open-source tools, can facilitate open science and promote transparency. By keeping up with emerging trends, I can adapt my practices to better support diverse researchers. Ultimately, I aspire to leverage this knowledge to advocate for policies that foster inclusive environments, paving the way for innovative ideas to emerge from a collaborative scientific community.
Leveraging AI in Object Detection and Functional Assessments in Navigating Physical Barriers from Campus Buildings and Public Spaces: A Pilot Study for Students
with Physical Disabilities at the University of Alberta {#leveraging-ai-in-object-detection-and-functional-assessments-in-navigating-physical-barriers-from-campus-buildings-and-public-spaces-a-pilot-study-for-students-with-physical-disabilities-at-the-university-of-alberta}
By: 
Mentored by:
Keywords: Ai, Object Detection, Deep Learning Algorithms, Signal/Parallel Processing,, Applications In Neurorehabilitation.
To continue research studies in leveraging AI for disability studies, intersectionality, accessible public spaces, and medical imaging.
An investigation of local genetic adaptations to malaria in indigenous Ethiopian and Sudanese populations
By: 
Mentored by:
Keywords: Local Adaptation, Biological Anthropology, Population Genetics, Selection, Human-Environment Interactions
I want to improve my knowledge and use of GitHub and the tools associated with it, and I want to improve my computational practices overall so that my code is more readable and understandable to others.
Saturday Sessions - Scientific Computing Workshops for Equity-Seeking Students
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Mentored by:
Keywords: Computational Chemistry, Materials Science, Electrochemistry
I would like to learn more about the tenets of open science. I would also like to learn more about improving the efficacy of my efforts to promote open science.
Roadmap to Bill C-226: Understanding the advocacy journey behind Canada’s inaugural environmental justice bill
By: 
Mentored by:
Keywords: Critical Global Health, Climate Coloniallism, Climate Justice, Climate Sacrifice Zones, Planetary Health, Postcolonial Reparative Action, Neocolonialism
As a researcher from an equity-seeking group, access to these DRI trainings and research services would support the critical development of my research skills throughout the data and research lifecycles. This can help counter unequal access to knowledge production, forms of epistemic violence and unequal academic-publishing landscapes due to under-representation and discriminatory research practices in the social sciences and humanities.
Building the Knowledge Infrastructure for Mental Health Scientists from Diverse Backgrounds to Access Alliance Digital Research Infrastructure
By: 
Mentored by: 
Keywords: Infant Pain Assessment; Machine Learning; Clinical Neuropsychology
My learning goals include gaining a deeper understanding of how open science practices can be integrated into mental health research, especially in ways that benefit equity-seeking groups. I also aim to refine my skills in using digital tools to ensure that the research outputs I contribute to are accessible and inclusive. By fostering a more collaborative and transparent research environment, I hope to set a precedent for future mental health studies.
Bridging the Gap: Enhancing Awareness and Access to Big Data Tools for Underrepresented Women in Educational Psychology
By: 
Mentored by:
Keywords: Socio-Emotional & Cognitive Development, Complex Statistical Analysis\nCross-Cultural/, Longitudinal Research Design, Equity, Diversity, Inclusion (Edi), Leadership, Educational Program Development, Emerging Adolescents Development
The first step is to increase awareness among myself and my colleagues. I would then like to launch and develop a project to openly share and expand it, applying open science principles in our department, specifically among underrepresented women
Digital Research Infrastructure (DRI) and AI for First-Generation Students (FGS) Development
By: 
Mentored by:
Keywords: Ai Literacy, Digital Divide, First-In-Family University Students, Mindfulness, International Development
My learning goals include developing strategies to seamlessly integrate open science practices into my research work, specifically by creating more inclusive training and outreach materials for FGS students. I hope to learn practical ways to engage students in open science discussions and to utilize open resources to enhance their research capabilities. Additionally, I want to explore effective ways to measure and communicate the value of open science practices to ensure continued support and expansion of these initiatives.
Catalyzing Open Science: Validating novel paths to democratizing better open tools with an interactive grassroots community-driven approach within stroke rehabilitation
By: 
Mentored by:
Keywords: Neuroscience, Stroke, Education, Community, Innovation
- To learn to more effectively create and disseminate tools that will encourage a much broader range of populations to join in on different stages of innovation, that are needed to stabilize our economy and civilization. Reaching beyond just purely academic circles to meaningfully bring into the fold non-academic innovators, enthusiast groups, and learners, and to do so around emerging technologies through dismantling the walls between disciplines in a conscientious fashion (not with a postmodern deconstructionist lens, but in grounded in objective, scientific, and functionally repeatable fashion, that yield a substantive increase in the volume and quality of innovations that can be commercialized).
- To learn to more effectively rally and interconnect industry and government entities in recognizing the need for, then the acceptance, funding, and incorporation of domain disrupting open source tools.
Inclusive DRI Training Program to develop skills for Sustainable Construction
By: 
Mentored by:
Keywords: Mechatronics, Mechanical Design, Electronics Design, Programming, Automation, Multidisciplinary Problem Solving
My personal learning goals related to open science include deepening my understanding of open data practices and the use of open-source software and tools to promote reproducible science. I aim to improve my skills with online collaboration platforms to facilitate interdisciplinary work and learn about altmetrics to better assess research impact beyond traditional metrics. Also, I want to explore interoperability and data standards for efficient data sharing, improve my abilities in open scientific communication, and understand funding and sustainability models for open projects. I’m also interested in learning about automation tools and workflow management to increase research efficiency, as well as learning how to identify and mitigate biases in research through effective data management strategies.
Interdisciplinary intersectionality and DRI : EDIA in data-intensive methodologies
By: 
Mentored by:
Keywords: Accessibility, Neurodiversity, Open Science, Information Retrieval, User Experience, Digital Humanities
My goal is to learn more about open science in the context of sensitive data. I also want to learn more about frameworks, tools, and methods to make science open and accessible.
Accelerated computing for women, racialized groups, and students from underprivileged
countries {#accelerated-computing-for-women-racialized-groups-and-students-from-underprivileged-countries}
By: 
Mentored by:
Keywords: Nuclear Physics, Radiotherapy, Radiobiology, Particle Physics, Track Structure
My personal learning goals: how can I implement Open Science more in my projects, what is the scope and the vision of open science for the next 5-10 years?
Participants
Adekola is interested in Turbomachinery (Air-Breathing engines) with a specialty in Fans and Compressors. Currently he is pursuing his PhD in Mechanical Engineering in University of Windsor working on Boundary Layer Ingestion (BLI), basically trying to improve the efficiency of FANS due to BLI inlet distortion. Adekola is a good team player with great interpersonal skill. Aside from working in Academia as a research assistant prior to now. Adekola has industrial experience both in Manufacturing and in Oil and Gas.
Adnan is a PhD student at the University of Calgary and Vector Institute, Canada, working under the supervision of Dr. Yani Ioannou and Dr. Rahul Krishnan. His current research interests include efficient ML, understanding loss landscape on DNNs and sparse training.
Ahlam is a Ph.D. student in Rehabilitation Sciences at McGill University (Canada). Her work focuses on child development and mobility, and she is interested in the application of statistical procedures and software in medical research.
I am a biological anthropologist and master’s candidate. My research in McGill University’s Departments of Anthropology and Human Genetics explores population genetics and bioanthropological questions about human health and local adaptations. I’ve previously presented and published research reconstructing historical kelp forest ecosystem populations off the coast of Vancouver Island, Canada. This project was completed in partnership with the Tseshaht First Nation, Parks Canada, the University of Victoria’s Historical Ecology and Coastal Archaeology laboratory, and the Bamfield Marine Science Centre.
Ajitesh is a 4th year BCIS Student and a Research Assistant at Okanagan College. He is a tech enthusiast who enjoys learning about innovations and technologies and is passionate about software engineering, cyber security, and algorithms. He is also the Vice Chair of the Okanagan College IEEE Student Branch, and is involved in organizing various IEEE workshops and conferences.
Graduate student at uOttawa working on machine learning for rare disease screening. Mental health advocate and avid outdoors lover.
Alix Shield is a settler scholar and lecturer in the Department of Indigenous Studies at Simon Fraser University (Burnaby, BC, Canada). Alix completed her PhD in English at SFU in 2020; her dissertation combines elements of Indigenous Literatures, Canadian Literatures, and the digital humanities to analyze the publishing contexts of two key twentieth-century works of Indigenous women’s writing in Canada. Her dissertation, Kwaskastahsowin (“Put things to right”): Case Studies in Twentieth-Century Indigenous Women’s Writing, Editing, and Publishing in Canada, investigates the ways in which Canadian publishing has marginalized Indigenous women’s writing and literary agency using two case studie
Hello! My name is Amelia and I am super passionate about microbiology! I am doing my PhD in environmental microbiology where I am investigating the role endospores play in the spread of ARGs. My favorite thing to do in my free time is hike in the mountains with my friends!
I am a doctoral candidate in Chemical and Materials Engineering at Concordia University, focused on developing lithium-sulfur battery cathodes. My research combines experimental and computational methods to design novel materials for improving the cathode interface, utilizing computational chemistry and artificial intelligence.
I am a PhD candidate at the University of British Columbia studying the evolution of invasive species, particularly the role of hybridization in the invasion process. I am also very passionate about EDIA in the realm of teaching, specifically in biology, and hope to bring that expertise to my project.
Anemily Machina is a PhD Candidate in Computer Science at Western University. Her research focuses on explaining how AIs in the Natural Language Processing domain make decisions. AIs are increasingly being integrated into everyday society, but the average person has little to no say in how these AIs are trained or used. Anemily believes that people deserve high quality and understandable explanations for any AI decision that affects their life.
Hi! I have a traditional biology background in molecular and cellular biology, obtained at the University of Toronto, where I also did my MSc in the Dept. of Cell and Systems Biology. I wanted to explore more translational science, which led me to the University of Guelph where I am currently pursuing my PhD. My research is looking to investigate the microbiome of maize, and is heavily bioinformatics focused.
Arash Asgari is an AI researcher with extensive academic and professional experience in large-scale training, prompt-tuning, and deployment of large language models (LLMs). His research interests span AI fairness, multi-modality of LLMs(MLLMs), and AI applications in medical imaging. Currently, Arash is pursuing an MSc in AI at York University, Canada, where he is a member of the Responsible AI Lab. He also holds an MSc in computer engineering from Sharif University of Technology, Tehran, and graduated at the top of his cohort with a BSc in computer engineering from K.N. Toosi University of Technology. His work has earned him prestigious research awards from the Vector Institute and the Digi
Azam Dashti Khavidaki is a PhD student, FRQSC scholar, and fellow at the Participatory Cultures Lab in the Education Department at McGill University. As a female student from Iran, she earned her first master’s degree in English literature from a top-rank university in Iran and her second in Education from McGill University. Through her experimentation with various methodologies, theories, and schools of thought, she views her research as a space for interdisciplinary exploration. She has taught professionally for over a decade at various levels, including as a lecturer in higher education. She has published papers and presented at conferences on topics such as representation and perception
As a quadriplegic with limited use of all limbs, uses a power wheelchair, and a graduate student of the Faculty of Rehabilitation Medicine (FRM) from the University of Alberta, I am honored to have been selected as an EDIA (Equity, Diversity, Inclusion, and Accessibility) Champion through the Digital Research Alliance of Canada’s pilot program. This recognition reflects commitment to my core values and underscores the importance of disability studies and inclusive research practices in almost all diverse fields of studies. As part of U of A, I do have the opportunity to collaborate with different faculty in the University. My background is Electrical/Electronics Engineering and current p
Clotilde Djuikem is currently a Postdoctoral Research Fellow at the University of Manitoba. Her work focuses on mathematical epidemiology and the impacts of climate change on Arctic fish species. She holds a Master’s degree in Applied Mathematics from the University of Douala, Cameroon, and a Ph.D. in Applied Mathematics from Université Côte d’Azur, France. She is the founder of the YouTube channel Tioh Academy, where she shares her passion for mathematics through educational content. Through her platform, she also aims to encourage young girls to pursue careers in science. You can connect with her on LinkedIn (Clotilde Djuikem) and explore her YouTube channel, which inspires others to app
Chiedozie is a physiotherapist, lecturer, and doctoral student in Population Health Studies at the University of Lethbridge. His research interests include physical function, musculoskeletal physiotherapy, life satisfaction, quality of life, health behaviours, and aging. Chiedozie conducts quantitative and qualitative research as well as systematic reviews and meta-analyses.
Chika Maduakolam is a Ph.D. candidate in Socio-legal Studies at York University. She holds an LLM degree from Osgoode Hall Law School. She has worked as part of teams on international research projects focused on gendered violence in war; and on a domestic project on civil justice in Canada. Her main area of research is focused on sexual and gender-based violence in conflict. She is interested in the following research areas: conflict-related sexual violence, gender issues, militarized masculinities, international law and human rights.
My name is Sebastian and I am a PhD student in Neuroscience. I am currently attending Queen’s University in Kingston, ON. My research area focuses on traumatic brain injury and the resulting behavioural deficits that come with it. I have a particular emphasis on investigating how repeated asymptotic mild traumatic brain injury can accumulate into long-term cognitive & motor impairment. We use different neuroimaging and sensorimotor data collection tools in our lab to see if we can associate changes in kinematics with changes in structural integrity. I’m very interested in sensorimotor control, and am hoping to do work in the motor recovery field later in my career.
I am currently a PhD student at Queen’s University with a background in Electrical Engineering. My research experience has focused extensively on signal processing techniques, and I am now applying that expertise to address challenges in neuroscience. Specifically, I am exploring brain pathology in Cerebral Palsy, using my knowledge in data science to understand how a brain with a lesion produces and manages movement, and how rehabilitation can be optimized.
I am a postdoctoral fellow working on analyzing data collected from telescopes. I focus on systematics, such as instrument beams.
Eunice Tunggal is a biracial Indonesian-Canadian student, currently pursuing her Master’s degree in Occupational and Public Health at Toronto Metropolitan University. She has a strong interest in health policy, and doing community-engaged research to assist in developing accessible, equity-seeking healthcare practices and programs. Her passion for these areas were shaped during her time collaborating with McMaster students and the City of Hamilton as a part of CityLAB on an affordable housing project, working in long-term care, and in family medicine and allergy-immunology research settings. Her current work revolves around women and gender-diverse individuals with disabilities and their lev
Eden Redman is the Executive Director of the non-profit organization NeurAlbertaTech (NAT), the province’s leading neurotechnology innovator network. He holds a BSc from the University of Alberta and is currently enrolled in a MSc in the Integrated Program in Neuroscience at McGill University. His research interests include biosignal processing, neuromodulation, and translational neuroscience. Eden has been named the Edmonton Student Entrepreneur of the Year, Alberta’s Top 30 Under 30, and leads provincially- and federally-awarded initiatives that have arisen from his efforts in merging his two great passions; computational neuroscience and community building.
Fanwang Meng got his Ph.D. under the supervision of Prof. Paul W. Ayers at McMaster University, Canada and he moved to Prof. Connor W. Coley’s group at MIT for postdoctoral training in 2022. He joined Prof. Farnaz Heidar-Zadeh’s group at Queen’s University as a Banting Postdoctoral Fellow (most prestigious postdoc fellowship in Canada) in 2024. His research focuses on computational drug discovery with machine learning, computational chemistry and open-source software development. As a core member of the QC-Devs consortium, he is passionate about open-science by buidling open-source software tools. He has led/contributed to 16 open-source Python packages which cover the fields of computationa
Fatima Ramirez is a mechatronics engineer currently pursuing a Master’s degree in Mechanical Engineering at the University of Alberta in Edmonton, Canada. Her research focuses on developing technology to improve the efficiency and sustainability of concrete 3D printing applications in the construction industry. A graduate of the Tecnológico de Monterrey, Guadalajara campus, she received a full scholarship through the Líderes del Mañana - Heineken Mexico distinction. Before starting her master’s program, Fatima worked at Intel Guadalajara in the Functional Validation area for server processors. She also co-founded the start-up TRIHTON/SPO, dedicated to developing specialized technological pr
Frank is a PhD Student and an instructor at the University of Lethbridge. His doctoral research centers on integrating African epistemological and ontological views to decolonise fact-checking practices in Africa. Frank is a strong advocate and promoter of the black and African voices via scholarship and social entrepreneurial engagements.
I work at the intersection of Robotics, AI, & Cybersecurity, focusing on innovation & R&D, mostly through STEM education. I am dedicated to enhancing youth education with advanced AI & learning technologies. Currently, I am developing AI-based robotic systems under the McGill-UQAM Research-Innovation Chair in Animal Welfare & AI to improve dairy industry. Passionate about EdTech, I seek opportunities to tackle sector challenges. I’ve earned national & international awards in technology innovation & entrepreneurship.
I am originally from Pakistan and completed my bachelor’s degree there. I am currently pursuing a PhD in particle physics at Simon Fraser University in Canada.”
Islam K. Matar. B.Pharm.Sci. (Misr University for Science and Technology), Postgraduate Diploma in Drug Discovery (Cairo University), is a M.Sc. Student in Applied Science at Saint Mary’s University. His current research is focused on using molecular modelling/informatics for the discovery and development of therapeutic entities, with a current focus on antimicrobial agents.
Ijeoma is an epidemiologist, implementation scientist, and preventive medicine physician with extensive experience in conducting large-scale research projects in resource-limited settings. Her research interests include prevention of non-communicable diseases (NCDs), digital health interventions to support patient management of NCDs, and artificial intelligence for healthcare and public health.
I am a PhD student in Chemistry at the University of Victoria where my research focuses on quantum algorithms, primarily for simulating materials and molecules. I am part of the theoretical and computational condensed matter physics research group led by Professor Thomas E. Baker, and I am also in the NSERC CREATE in Quantum Computing program managed by Quantum BC. I hold a BSc in Physics from Sorbonne University and an MSc in Biomedical Physics (with distinction) from the University of the West Indies. My previous research related to applied crystallography and x-ray diffraction materials analysis utilizing pattern fitting, simulation, and machine learning. I then transitioned into quantum
Dr. Ezirigwe is a distinguished Associate Professor of Law, at the Nigerian Institute of Advanced Legal Studies (NIALS) and a Visiting Scholar at NIALS’ partner hub, Open AIR Network, University of Ottawa. She has over 19 years of experience in law practice, legal research, advocacy, education, and knowledge mobilization for broader usage, across five continents, at national, regional and international levels. Her research interests primarily revolve around food and agricultural law and governance of Big data and AI in the food and agricultural sector. She is committed to mainstreaming gender perspectives and racial justice in her research and employs socio-legal methodologies to produce evi
Jackie is a former clinical research nurse with a strong passion for social justice. Currently pursuing a PhD, her research focuses on integrating physiological signals and machine learning to infuse emotion into music. By creating meaningful interactions between minimally communicative individuals and their caregivers, Jackie aims to enhance connection and improve the quality of interactions that these individuals can have with their world.
I am a PhD student at the University of Calgary studying environmental microbiology. I am interested in the microbial community present in our freshwater, studying the factors that shape this community, and the impact dysbiosis of this community could have on environment and human health. In my PhD studies, I am focused on microplastics as a factor impacting the freshwater microbiome. This includes evaluating the potential for microplastic to act as a vector for the spread of antimicrobial resistant pathogens, as well as exploring the potential of using bacteria as a tool for the remediation of plastic pollution.
Kwaku is a PhD candidate at the Johnson Shoyama Graduate School of Public Policy, University of Regina. Kwaku has a Bachelor of Arts degree from the University of Saskatchewan, a Master of Business Administration (MBA) degree and a Master of Public Policy (MPP) degree both from the University of Regina. Kwaku’s research interests include population health policy affecting Black people, child welfare policy, Indigenous peoples policy and education policy. He has received several scholarships and awards for his research work including the Saskatchewan Innovation and Excellence Graduate Scholarship, the City of Regina Henry Baker Scholarship and the Institute of Public Administration of Canada
Tasneem Khan is a PhD Candidate at the University of Waterloo, and her general research focus is on social and economic predictors of the mental health of disadvantaged or at-risk populations. This includes research on immigrants, immigrant women, South Asians and some research on Indigenous Peoples and mostly using Statistics Canada Data. Her interest in mental health equity developed from migrating to Canada at a young age and studying psychology and neuroscience during her Honours Bachelor of Science at the University of Toronto.
Kim is a medical student at Queens University, Kingston, Ontario, Canada. She holds bachelor and masters degrees in Mechanical engineering and has a passion for indigenous data sovereignty in research. Kim’s current research focuses on indigenous perspectives on virtually-provides health care. Kim serves on an indigenous research ethics working group And hopes that her research and scholarly activities work will raise up indigenous voices and encourage indigenous students’ involvement in research.
Fuqin (Kook) Hu is a McCall MacBain Scholar from China, currently studying Development Geography at McGill University. With a strong commitment to bridging digital divide, Kook focuses on empowering first-generation college students (FGS) through improved access to Digital Research Infrastructure (DRI) and AI literacy. His project, funded by the DRI EDIA Champions Program, seeks to make DRI resources more accessible and equitable for underrepresented students at McGill. Outside of academics, Kook is a daily meditator, biography nut, question asker, and avid foodie. he reads Paulo Coelho’s “The Alchemist” every night, and protects his curiosity to learn “how the world actually works, and wh
I’m a PhD candidate at Western University in the Department of Computer Science, with a passion for turning data into discoveries. I apply AI and statistical methods to better understand the genetic basis of complex diseases such as Rheumatoid Arthritis and COVID-19. My research integrates large-scale genomic and socio-demographic data to develop fair and inclusive models for predicting disease risk. I’m also committed to developing open-source software to make scientific tools more accessible. Outside of research, I enjoy volunteering, mentoring STEM students, and supporting initiatives that promote inclusion and diversity in STEM.
I am a PhD in Science and Technology/Chemistry at UFABC (Brazil), with a collaboration period at the University of Calgary (Canada), with a 6-month long postdoctoral position at UFABC - https://inct-mi.pesquisa.ufabc.edu.br/ and currently a postdoctoral researcher at Simon Fraser University. I am mainly interested in applying theoretical chemistry and computational methods to investigate electrochemical processes for green energy generation, water treatment and other environmental applications.
I am a PhD candidate at McGill University, researching phage-bacteria interactions and phage population genomics in the infant gut within the context of malnutrition. I hold a Master’s in Computational Biology from Universidad de los Andes (Colombia) and have research and teaching experience at both institutions. My expertise lies in metagenomics, phage-host interactions, and ecological dynamics. I deliver workshops for researchers across Canada, Mexico, and Colombia in English and Spanish. I’m passionate about inclusive, accessible learning techniques in science education.
Hi, I’m Letícia (Letty)! I’m an evolutionary biologist who loves whales, books, and photography. Currently, I am a graduate student at Dalhousie University working in two research groups: the Bielawski Research Group (Halifax, Canada), and Laboratory of Evolutionary Genomics (Campinas, Brazil). My research uses genomic and acoustic data to understand how cetaceans (whales, dolphins and porpoises) have evolved their complex sounds in different environments and social contexts. I am passionate about teaching, science communication and making science more inclusive and diverse! You’ll find me on social media as @leticiamagpali
Linda Okpanachi is a dedicated researcher at the University of British Columbia, Canada with a passion for all things data. Specializing in machine learning and natural language processing, she is committed to leveraging innovative digital tools to empower equity-seeking researchers. Linda is dedicated to promoting the adoption of technology and advancing inclusivity for women in tech, striving to bridge the digital divide in low-resource settings.
Olivia (Liv) Abram (she/her) is a settler doctoral candidate at the University of Saskatchewan whose research focuses on ethical reading, viewing, and listening practices in relation to engagement with Indigenous literatures. She explores the potential of slow, humble, and self-reflective engagement with written and oral narratives, but also multimodal and experiential story, such as those in graphic narrative, song, and place-based teachings. Her dissertation, Read, View, Listen: Ethical Settler Engagements with Indigenous Literary Expression, is supported in part by funding from the Social Sciences and Humanities Research Council, The Literary Encyclopedia, and The Digital Research Allian
Lojain Hamwi is a first year doctoral student in the Clinical Developmental Psychology program at York University. She is specializing in the Clinical Neuropsychology stream and completing a Health Psychology diploma to complement her studies. Her research focuses on the development of an infant pain assessment tool using a machine learning approach. Ultimately, her research aims to contribute to the improvement of assessing neonatal pain using a combination of novel tools, such as artificial intelligence and EEG. Lojain is also committed to promoting awareness of digital research tools and infrastructure among equity-seeking groups so that they improve outcomes in their respective fields.
Lulwama is a Global Health PhD candidate from Botswana examining Climate Justice in the context of a racial-colonial and hyper-capitalist death-based paradigm that has produced a violent politics of disposable life. She grapples with the existential threat posed by ecological breakdown in “post”-colonial Africa and explores how mainstream climate discourses have manufactured African vulnerability.
A PhD candidate at the University of Victoria, Kelly graduated with his MN and MSc in Health Information Science in 2019 and has been working to modernize outdated EHR structures, standards, and evidence as they relate to health equity and quality nursing care, working to understand the factors that create and sustain inequities and supporting nurses to address them.
Mirta was born and raised in Croatia, where she also studied Physics at the Faculty of Science at the University of Zagreb. Her master’s thesis was in detector development for particle physics. She finished her Ph.D. at the Weizmann Institute of Science in Israel where she studied the weak-boson production in heavy ion collisions with the LHC detector. After that, she took interest in medical physics and joined the experimental work in breakthrough technology with diffusing alpha-emitters radiation therapy (DaRT) at Ben-Gurion University in Beer Sheva, Israel. She recently joined the Enger lab to further pursue new venues in radiotherapy and radiobiology.
I am a PhD candidate in biological and biomedical engineering at McGill University. My background is in physics, biology, and computer science, and I work with computational models to solve problems in biomedicine. I’m passionate about science communication, teaching, and mentorship in STEM!
I am passionate about exploring wildlife habitat management strategies that optimize conservation benefits in the interest of local communities. I hold a BSc in Natural Resources Management from Kwame Nkrumah University of Science and Technology, Ghana, where I evaluated the effectiveness of the Subri River Forest’s Globally Significant Biodiversity Area (GSBA) in primate conservation. I then pursued an MSc in Ecology at Guangxi University, China, focusing on the performance of the global protected area network in biodiversity conservation. Currently, I am a doctoral student in Forest Sciences at Lakehead University, Canada, collaborating with the Biigtigong First Nations on Caribou habitat
Mona is a senior postdoctoral fellow at the Cumming School of Medicine of the University of Calgary, specializing in microbial ecology, community ecology, computational biology, and bioinformatics. She applies ecological theory and high-throughput sequencing methods, such as meta-barcoding and meta-omics, to study environmental impacts on microbiomes, focusing on host-microbe and microbe-microbe interactions across various environments. Her current research focuses on the early-life gut microbiome from an ecological perspective, using advanced sequencing techniques to examine microbial interactions in infants’ guts and their responses to environmental factors. Mona holds a Ph.D. in Biology
The CAN-VIEW initiative, led by the University of Waterloo’s School of Optometry and Vision Science and School of Public Health Sciences, focuses on gathering and managing data from routine eye exams to facilitate AI-driven innovation and evidence-based policymaking in eye care. This project aims to co-develop data governance policies for CAN-VIEW in collaboration with the Southern Chiefs’ Organization (SCO), ensuring Indigenous data sovereignty by adhering to OCAP (Ownership, Control, Access, and Possession) principles. Hosted on the Digital Research Alliance of Canada’s infrastructure, CAN-VIEW will enhance the accuracy and efficiency of eye disease screenings, starting with diabetic retin
Louie is a registered professional biologist (RPBio) in British Columbia, specializing in freshwater biology. His research focuses on using metatranscriptomics, DNA metabarcoding, and qPCR-based environmental DNA (eDNA) analysis to study population and community dynamics in freshwater ecosystems, with the aim of understanding how these populations respond to both natural and human-induced disturbances. Currently, as a Liber Ero Postdoctoral Fellow at the Helbing Laboratory, University of Victoria, Louie works on projects for the Alberta Oil Sands Monitoring Program and iTrackDNA. In collaboration with First Nations communities, he develops and implements eDNA tools to monitor key species wit
Mohammad Alnabhan received the bachelor’s and master’s degrees in computer science with a specialization in data mining. Currently, he is pursuing the Ph.D. degree with the University of Ottawa, Canada. His major field of study is focused on developing deep learning model for securing social media. He brings a wealth of expertise to his academic pursuits through a diverse range of work experiences. He has been a dedicated part-time Professor with the Computer Science Department, University of Ottawa, since 2022, where he imparts his knowledge and passion for the subject to students. In addition, he has proven his skills as a full-stack Programmer and a Microsoft Certified Trainer Specialist,
My name is Tiara, and I am a PhD candidate at Dalhousie University, specializing in biology. My research focuses on using Drosophila melanogaster as a model organism to study exercise-induced muscle damage and repair to unravel the intricate processes involved in muscle repair. Alongside my research, I am passionately committed to enhancing Equity, Diversity, Inclusion, and Accessibility (EDIA) within the scientific community by striving to create an inclusive environment that promotes diverse perspectives and equitable opportunities through outreach, advocacy, and science communication.
Musanna Galib is currently a Ph.D. candidate at the University of British Columbia since 2020. Previously, Musanna completed his M.Sc. (2019) and B.Sc. (2017) in Mechanical Engineering from the Bangladesh University of Engineering and Technology (BUET). Musanna’s research interests encompass exploring the core mechanisms that emerge in materials under different conditions using multi-scale modeling and experiments. Currently, Musanna is working on solving the dendrite problem in rechargeable batteries at UBC-Vancouver. This work exists at the intersection of mechanics of materials, materials science, and electrochemical phenomena.
Nooshin Noshiri is a PhD student in Computer Science at the University of Manitoba, focusing on machine learning and digital agriculture. Her research involves using generative models to address data scarcity in hyperspectral imaging. Nooshin has been recognized with several prestigious awards, including the Mitacs Accelerate Fellowship and the President’s Student Leadership Program scholarship. She has contributed to multiple international publications and has an accepted paper at NeurIPS. Nooshin is also actively engaged in science communication, presenting at the Soapbox Science event and discussing generative AI during Academic Integrity Week. Through her research and outreach, she conti
Nadia Khalili is a Ph.D. candidate in Educational Psychology at McGill University, specializing in the complex interplay between Theory of Mind (ToM) and prosocial behavior in emerging adolescents, for which she received the FRQSC Doctoral Award. She has extensive experience in cross-cultural and longitudinal research, statistical analysis, and open science initiatives. Nadia has been actively involved in Equity, Diversity, Inclusion, and Accessibility (EDIA) efforts, including serving as a student representative on multiple committees and contributing to McGill’s Faculty of Education EDI Committee. She also led an institute for teacher training programs in philosophy for children. Nadia has
I am an organizational anthropologist and information scientist addressing the human dimensions of complex social, environmental, and technical problems. I study how we organize to move knowledge to action, bridging the gap between research, policy and practice. Working with multiple stakeholders, my ongoing projects include building adaptive capacity to climate change; developing tools to support knowledge sharing and innovation; and reimagining the scientific and cultural record. In my current role, as a postdoctoral fellow at the University of Lethbridge, my work investigates how humanities researchers and heritage professionals are shaping and navigating an emerging humanities data ecosy
Niloofar Hooman (Ph.D.) is a Ph.D. candidate in the Department of Communication Studies and Media Arts at McMaster University, Canada. She is also completing a joint Graduate Diploma (Ph.D.) in Gender & Social Justice. Niloofar holds a Ph.D. in Communication (2019), an MA in Cultural Studies and the Media (2010), and a BA in Social Communications (2007) from the University of Tehran. Her research encompasses theories of new media, digital culture, digital activism, feminism, and gender, as well as critical studies of marginalized bodies. Niloofar’s doctoral dissertation concentrates on the embodiment, performances of nudity and unveiling as political actions in Iran. Her work has been publi
Nishith Mishra, is a Doctoral Candidate in Space Law, and a Researcher with Faculty of Law, McGill University, having earned his LL.M. (Air and Space Law - Thesis) earlier from here. He also holds his Bachelor of Laws and Bachelor of Arts, i.e. B.A. LL.B. (Hons.) – a combined and integrated dual degree from National Law University Delhi, and ‘certificates’ from the Indian Law Institute. He is a professional member of International Institute of Space Law, and is an enrolled advocate since June, 2013, with the Bar Council of India. Prior to joining McGill in 2018, he has also worked as a civil & commercial litigator, and as a private-equity & foreign direct investment as well as a Cross-border
Fostering a hybrid space to build community, capacity and share knowledge, facilitated through a Discord server, leveraging biweekly community forums, virtual “happy hour” and roundtables, engaging EDIA champions and participants in structured, supportive interactions to enhance DRI knowledge and community building.
I am a PhD student in Canada. My research seeks to implement, examine, and evaluate the representation of nitrogen cycling and different formulations of reactive nitrogen gas emissions from wildfires in Earth System Models, and explore how these reactive nitrogen gas emissions and their feedbacks to climate change will evolve over the 21st century.
Ruben is a working on a master’s thesis that examines equity in the usability of health technologies. He is housed in the Department of Mechanical & Industrial Engineering at the University of Toronto.
I am a second-year PhD student in Computational and Theoretical Chemistry at McMaster University. My research focuses on developing new algorithms which model many-body interactions for electronic systems.
Sana Sharif is a graduate student with a focus on digital advanced wireless communication systems, particularly in the areas of semantic communication and 6G networks. Her research includes energy consumption minimization in semantic communication systems and resource optimization in wireless networks. Sana is passionate about advancing knowledge and technology, with a strong commitment to increasing awareness of AI and digital research infrastructure among underrepresented groups.
I am currently a Ph.D. student in Biomedical Engineering at University of Toronto. My primary research focus is on developing a mobile application that leverages deep learning techniques to prevent slips and falls. My work aims to improve safety by assessing footwear slip resistance and environmental factors to reduce injury risks. In addition to my technical research, I am deeply committed to integrating principles of equity, diversity, and inclusion (EDI) into my work. I strive to ensure that my research addresses the needs of diverse populations, particularly underrepresented groups, by designing accessible solutions that account for various cultural, socioeconomic, and physical differenc
Je suis un professionnel de la santé publique. Mon expertise consiste à étudier et développer des stratégies innovatrices pour résoudre les problèmes de santé à l’échelle de la population, avec un intérêt particulier pour la promotion de la santé. Mon travail se concentre essentiellement sur l’impact positif de l’approche participative des communautés dans la résolution des inégalités sociales en matière de santé. Mon projet consistera à une mobilisation de la communauté des étudiants et étudiantes originaires d’Afrique subsaharienne et des Caraïbes. L’objectif est de maximiser leur implication à travers un programme de formation sur la gestion des données de recherche en utilisant les outil
Shayan is a second-year Master’s student in the Translational Research Program at the University of Toronto. He is a recent graduate of the Bachelor of Health Science Program at McMaster University. Shayan is the recipient of the Ontario Graduate Scholarship (OGS; 2023-2024 competition year) and Canada Graduate Scholarship - Master’s (CGS-M; 2024-2025 competition year). Following his passion for promoting BIPoC-2S/LGBTQ+ health, Shayan is a fellow at the CIHR 2S/LGBTQ+ Health Hub. He is also a sessional instructor at the Bachelor of Health Science Program and a research lead in the Faculty of Health Sciences. Shayan is interested in improving HIV/AIDS treatments through system-level change
Soorena Azarhazin is a PhD candidate in the Biotechnology program at Lakehead University starting September 2022. He received his BSc and MSc in Mechanical Engineering from the Sharif University of Technology and the University of Tehran, respectively. His research field is currently relevant to Computational Fluid Dynamics (CFD), numerical simulation of thermo-fluids processes, and flow control.
Stacey Koornneef is a PhD student in computer science at Ontario Tech University. She enjoys teaching and researching the connection between humans and technology from an education perspective.
Steve is a PhD student at the Ontario Institute for Studies in Education at the University of Toronto.
I am an interdisciplinary researcher developing robust, scalable, computational models for mechanistic problems such as acoustic and earthquake wave propagation, geospatial infectious disease spread, flow through porous media etc. or purely data-driven problems such as diagnosis of Parkinson’s disease from MRI, time-series forecasting etc. These models are capable of providing reliable predictions with quantified uncertainty (coming from noise in the data or assumptions of the model) using Bayesian algorithms and industrial level scaling enabled by high performance computing (both CPUs and GPUs).
I am a Medical Demographer with teaching and research experience. I am passionate about using data to solve public health challenges and also supporting women researchers with data management tools and skills that will enhance equal access to participation in research programs.
Fatou is an accessibility professional, pursuing a Master’s degree in Information Studies (MIS). Her involvement in various roles has allowed her to contribute significantly to the academic and practical understanding of accessibility. Serving on technical committees and boards, such as the Accessible Travel Journey Technical Committee for Accessibility Standards Canada and Association pour l’intégration sociale d’Ottawa, she has actively contributed to setting standards and advocating for the integration and support of individuals with disabilities. These involvements reflect her commitment to social change and the betterment of community welfare through collective effort and governance.
Ugo is Nigerian-Canadian PhD student at Simon Fraser University studying solvent effects in electrochemical nitrate reduction. He holds degrees from the University of California, Berkeley and University of Calgary. In addition to research, Ugo is passionate about free and open-source software and increasing its prevalence in the computational chemistry community.
I am currently finishing a PhD in cosmology at McGill University. I have also been teaching mathematics and physics college courses, as part of various new initiatives to further higher education in Indigenous communities in northern Canada.
I am a master’s student at McGill with a research focus on breast cancer and the tumour microenvironment. I am passionate about improving accessibility in science, especially for historically marginalized and underrepresented populations.
Yuwei Cao is a Geo-information engineer with a specialized focus on remote sensing data and point cloud data understanding. She earned her PhD from Politecnico di Milano, Italy. Her research interests are deeply rooted in 3D vision, with a particular emphasis on Levels of Detail (LoDs) models, 3D point cloud semantic segmentation, 3D feature learning, and 3D reconstruction. Her work aims to advance the field by developing sophisticated methods for interpreting and utilizing 3D spatial data. Yuwei utilizes LIDAR and other remote sensing data to assess stand species composition in the IRSS lab at the University of British Columbia (UBC). This innovative approach will enhance the precision and