Cleaner Energy at the Individual and Community Levels
Changing the sources and usage of energy for a better and sustainable future for a
The Big Data Challenge (BDC) for high school students is an inquiry-based, interdisciplinary, experiential learning program that strengthens students’ problem-solving and critical thinking
abilities by working with Open Data. By allowing students to undertake independent research projects that tackle real-world problems, the BDC synergizes with both classroom and extracurricular experiences to foster an active digital citizenship position and prompt new
sustainable development innovative ideas.
Bring your findings into the class, to your peers, and into the community at large.
Under Patronage of the Canadian Commission for UNESCO











Media Coverage

The High School Big Data Challenge (HSBDC) is an inquiry-based, interdisciplinary, experiential learning program that invites high school students from across the country to strengthen their problem-solving and critical thinking abilities by working with open data. By allowing students to undertake independent research projects that tackle real-world problems, the BDC synergizes with both classroom and extracurricular experiences to foster an active digital citizenship position and prompt new sustainable development innovative ideas.
How do competitions work?
We present the general competition theme, within which you define a research topic of interest. Teams of up to four students are provided with workshops, example datasets, learning resources and tools for data analysis. With the guidance of peer and expert mentors, teams then develop sustainable solutions to local and global issues using open data. At the end of the competition, teams submit their research findings in the form of a scientific manuscript. The top teams are invited to present their findings in front of a panel of industry and academic experts in the field.
Why should you participate?
Develop new skills: The HSBDC is a great platform to develop the following skills:
- Computational Thinking – The ability to translate aggregates of data into abstract concepts and conduct data-based reasoning for real world challenges.
- Design Mindset – The ability to create solutions in contexts where only part of the requirements is known.
- Digital Citizenship – The ability to responsibly utilize information technology to engage in society.
- Interdisciplinary Mindset – Engage in an interdisciplinary, problem space led by student-driven inquiry.
Scientific Communication – All abstracts and the top finalists’ full papers will be published by the open access, peer-reviewed STEM Fellowship Journal, published by the NRC Research Press!
Monetary Prizes – The winners get the chance to win monetary prizes sponsored by our sponsors.
Networking – Network with academics, industry professionals, and other forward-thinking students throughout the competition.
Note: Prior knowledge of coding is NOT required to participate. Students from all programs are welcome to participate.
Through this challenge, students will:
- Collect and Investigate Data on access to sustainable and clean energy and culture around it.
- Analyze the role of various factors including gender, race, geographical region, and socioeconomic conditions on access and use of Clean energy.
- Hypothesize and Formulate innovative solutions to improve access to affordable, reliable, sustainable and modern energy for all
- Present Findings through scientific and scholarly writing in the form of a research project report.
Teams of up to 4 students will be provided with datasets, workshops, learning resources, mentorship, and tools for data analysis to undertake exploratory analysis of sustainable energy. Data analysis is combined with scientific writing, insofar that the teams present their research findings in the form of scientific manuscripts, which are then evaluated by academics and industry professionals. All aspects of the BDC, including the delivery of workshops, resources, and mentorship, will occur online and are equally accessible to all students regardless of their location or other circumstances.
At the end of the program, the research abstracts of all teams and the manuscripts of winning teams are published in the open access, peer-reviewed NRC Research Press STEM Fellowship Journal.
The top teams are then invited to defend their findings in front of a panel of experts in competing for monetary and academic prizes, at the culminating finale event.
PROBLEM STATEMENT
Access to affordable, reliable and sustainable energy is crucial to achieving many of the Sustainable Development Goals – from poverty eradication via advancements in health, education, water supply and industrialization to mitigating climate change. (Education 2030 Agenda) However, it varies significantly due to economic, cultural and education levels.
Open data and analytical methods present a unique opportunity to look at the problem of fair distribution and sustainable use of energy.

Students are free to define their research topics that can address technological, economical and social aspects of Affordable and Clean Energy.
Here are some suggested topics:
- Energy security and cybersecurity at individual, community, regional and national levels.
- Clean energy solutions against the impact of pandemic, climate change and other crises.
- Exploration of options, costs and benefits for 100 percent clean energy in the local community.
- Personal, family, community, and social network energy consumption and optimization. Comparison of best practices and sustainable energy results in gender, race, differing income groups of students.
- Advanced vehicle and personal transportation technologies in the reduction of greenhouse gas emissions and addressing inequalities.
Prizes
Scholarly publication of winning project manuscripts in the peer-reviewed STEM Fellowship Journal, published by NRC Research Press.
Tokenize your project with a STEM Fellowship NFT (Non-Fungible Token) on a Blockchain Network
Schedule
Information Sessions
September 25 – October 16, 2021
Q&A and sample workshops for teachers and their students about the High School Big Data Challenge. Recordings and material will be provided following the orientation session.
Students and teachers may register HERE.
To view the recordings of each session, click on them below.
- Teacher Q&A Session – September 25, 2021 – 7:00 pm EDT (4PM PST)
- Data Science Workshop for Teachers – October 2, 2021 – 7:00 pm EDT (4PM PST)
- Student Q&A Session – October 9, 2021 – 7:00 pm EDT (4PM PST)
- Data Science Workshop + Q&A for Students – October 16, 2021 – 7:00 pm EDT (4PM PST)
Registration Deadline
October 29, 2021 (11:59 PM PST)
Form your team(s) of up to 4 students and register them online HERE.
Team Inquiry with Mentor Support
November 1, 2021 – January 31, 2022
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- Crowdsource resources and investigate analytics tools (SAS, Python, Pandas, etc), choose the one you will learn and use.
- Workshops covering Data Visualization, Statistics, Python Programming, Data Analysis, SQL, and Scientific Writing Skills will be provided to participants to help with this
- Obtain certificates from Cisco Networking Academy in Big Data Fundamentals, Empowerment Technologies, Cybersecurity, and more!
- Attend mentor sessions and ask questions to learn more about anything within the realm of data science and its applications.
- Learn from talks given by working professionals in the analytics industry from organizations like Gartner, the University of Calgary, and more!
- Work on your data set for 3 months. Work together with your team, making use of your mentors, teachers, and the provided resources to analyze your data and propose solutions.
- Crowdsource resources and investigate analytics tools (SAS, Python, Pandas, etc), choose the one you will learn and use.
Project Submission Deadline
February 1, 2022 (11:59 PM PST)
Submit your project report developed in Overleaf before the deadline (2:59 AM EST on February 2) for evaluation by a team of academics and industry experts
Finalist Announcement
February 18, 2022
The finalists (top 20 teams) will be announced! If selected, your team will have the opportunity to present your work at Big Data Day.
High School Big Data Day
March 5th, 2022 (Tentative)
Previous Big Data Challenge Workshops
Here are samples of last year’s workshops to give you an idea of this year’s live, interactive workshops. This year, we will have workshops that focus on statistics, data manipulation, data analysis, machine learning, and more! We encourage you to read these ahead of time to help prepare you for the upcoming BDC.