2026–2027 HSBDC Scholar Internship
Scholar Internship Pathway
HSBDC Scholar Internship is a four-month blended experiential-learning program for high school and CEGEP students. Participants attend weekly in-person university sessions and take online Cisco Networking Academy and Google classroom lessons.
They cover Data Science Essentials with Python course with industry-level certification, receive scholarly research mentorship and hands-on experience conducting an original open-data and AI research project in an agile team that leads to an academic conference and publication in a peer-reviewed journal.
stem fellowship winner got handshake
Build a university-ready research portfolio through data science, AI inquiry, scientific writing and academic presentation.
Why Choose Scholar Internship?
Who This Pathway Is For?
High school and CEGEP students seeking to stand out on competitive university applications
Students seeking scholarly mentorship in research and science communication
Students building a university-oriented research portfolio
How the Scholar
Internship Pathway Works
1. Register
Register as an individual participant. Participate in weekly university sessions and online classes. 
2. Certification
Complete Cisco Networking Academy Data Science Essentials with Python training and certification.
3. Research
Join mentor facilitated research teams and learn the fundamentals of agile research team work: defining the research topic connected to the annual HSBDC theme and developing the topic-related literature review.
4. Investigate
Conduct an original open-data and AI investigation, interpret patterns and develop evidence-based recommendations.
5. Present
Submit team project manuscript, digital poster, and 5-min YouTube research explanation, then prepare a physical poster and three-minute one-slide thesis presentation for an HSBDC conference.
2026–2027 Challenge Theme
Preserving Biodiversity and Advancing Land’s Environmental Resilience Using Open Data, Satellite Intelligence and AI
Students investigate how open environmental data, satellite intelligence and AI can address invasive species, wildfire risk, ecosystem health and land resilience. Teams analyze real-world datasets to identify patterns, predict risks and propose sustainable solutions.
Preserving Biodiversity and Advancing Land’s Environmental Resilience Using Open Data, Satellite Intelligence and AI
Sample Research Directions
Predicting wildfire risk using satellite-derived environmental indicators
Mapping the impact of climate change on wildfire frequency and intensity
Analyzing infrastructure vulnerability to invasive species using geospatial data
Evaluating early wildfire or invasive-species detection systems using satellite imagery
Designing data-driven land-management strategies that strengthen land resilience
students are on the conference hsbdc
Registration & Fee
It includes:
Cisco Academy Data Science Essentials with Python training and certification.
Weekly university‑level academic instruction in data science, AI inquiry, and scientific communication.
Mentored research ideation, literature review, open‑data search, analysis, and data visualization.
Scientific writing instruction with hands‑on manuscript development.
Experience working in an agile, interdisciplinary research team.
Access to open datasets and industry‑level tools used in the challenge.
Conference participation, including poster presentation and one-slide, three-minute thesis presentation for conference participation.
Scholarly abstract publication in conference proceedings
$980
per participant
Register for Scholar Internship
*All prices are in Canadian dollars
Important dates
Sep 1, 2026
Registration opens
TBD
Program Q&A Session
Oct 18, 2026
Registration Deadline
Oct 18, 2026 - Jan 10, 2027
Program and Research Period
Jan 10, 2027
Manuscript Deadline
Jan 17, 2027
Poster and Slide Deadline
Feb 5, 2027
Canada West Conference
Hunter Hub, University of Calgary
Feb 12, 2027
Canada East Conference
Hart House, University of Toronto
Feb 20, 2027
Francophone/Bilingual Conference
Collège de l'Ouest de l'Île, Montréal
STEM Fellowship owl mascot teaching with pointer symbolizing guidance and education
Conference, Publication and Awards
conference photo
Conference
Toronto, Calgary and Montreal. Attendance is optional but required for prizes.
poster of the research on the conference HSBDC
Conference
Team abstracts are published in the STEM Fellowship Journal conference proceedings.
winner of the HSBDC
Conference
Scholar Internship participants are eligible for poster, three-minute thesis presentation and manuscript publication awards.
More about the program
Sponsors & Stakeholders
The 2026–2027 HSBDC sponsor and stakeholder network includes financial, educational, academic, and industry organizations generously supporting, contributing expertise, learning resources, conference venues and student awards.
Let's Talk Science LogoLet's Talk Science LogoCisco LogoCanada Science Publishing logoUniversity of Calgary logoNRC Canada logoRBC logoUniversity of Toronto
HSBDC STEM Fellowship owl with medal
Build your university-ready research experience
Develop an original research project, complete Data Science Essentials with Python certification and present your work in an academic conference setting
Frequently Asked Questions
1. What is the Scholar Internship, and what does the blended-learning format include?
Scholar Internship is a 80+ hour structured blended-learning experience that combines 40 hours of CISCO Academy Data Science Essentials (with Python certification) and 40+ hours of mentored open-data research. The program includes weekly university sessions, online CISCO lessons, recorded Google Classroom workshops, scholarly mentorship, and agile research teamwork.
2. How does the Scholar Internship differ from Independent Research?
Unlike self-directed independent research, Scholar Internship provides structured academic instruction, professional Cisco certification, active team coordination, and dedicated scholarly mentorship to guide you from data analysis to paper publication.
3. What makes this program valuable for a student’s academic portfolio?
Students earn a recognized data science credential, conduct original research, author an abstract with a DOI number, design a research poster, and present at an academic conference. This combination of analytical, teamwork, and scientific communication skills creates a standout portfolio for university applications.
4. What support is provided, and how much independent work is expected?
Mentors provide hands-on guidance in AI inquiry, research design, data analysis, and scientific writing. However, students are expected to actively contribute to their team’s research, project coordination, and final presentation preparation.
5. How are research teams formed?
Participants register individually and attend weekly sessions at local universities. At the end of the Data Science Fundamentals course, students are grouped into agile teams based on shared research interests to collaborate on an original project.
6. Will student work be published, and is full journal publication guaranteed?
Publication of the team’s research abstract in the STEM Fellowship Journal conference proceedings (with an official DOI number) is guaranteed for all student authors. Students wishing to publish a full manuscript can apply for the Journal’s separate peer-review process (additional editorial/publication fees apply).
7. Is conference attendance required?
Conference attendance is optional for abstract publication, but required if your team wishes to compete for awards and prizes.
8. What is the program fee, and what does it include?
The Scholar Internship fee is $980. It covers the CISCO Academy certification course, academic mentorship, data analysis instruction, conference participation costs, and the official DOI publication of your research abstract.
9. What will be covered during the live Q&A session?
The live Q&A will cover program delivery details, portfolio benefits, team matching, and answers to individual participant questions.
10. Where can I find general program policies and contact details?
You can review eligibility, award, and participation policies on our Program Details page. For further questions, contact us at bigdata@stemfellowship.org.
Questions?
We've got answers!
bigdata@stemfellowship.org
for general Inquiries