NATIONAL BIG DATA CHALLENGE 2018-2019
BIG DATA de TERRE
MINE SPACE AND SOCIOECONOMIC DATA TO DISCOVER ENVIRONMENTAL, SOCIOECONOMIC SOLUTIONS FOR SUSTAINABLE LIVING ENVIRONMENTS
Go further into predictive analysis of optimal characteristics for sustainable living environments :
Collect and analyse geostatic terrestrial data from the CSA, ESA and NASA along with your city, province and feederal humanitarian open data.
Explore Canada's 18 UNESCO Biosphere Reserves.
In partnership with Let's Talk Science
Under the patronage of the Canadian Commission for UNESCO
What is the big data challenge?
The STEM Fellowship Big Data Challenge is a competition that helps high school students get excited about Data Science and its potential to support inquiry-based learning and problem solving with open data. The Big Data Challenge involves STEAM students undertaking independent research projects to tackle real-world problems with the best industry analytical tools while learning about digital citizenship.
How it works: We present the general competition theme within which you define a research topic of interest. We supply you with relevant open data and leading data analytics tools with which you carry out your inquiry, come with ideas, develop solutions and present your findings in the form of a research paper.
The best part is you don’t even need to have prior data science knowledge to join! We deliver webinars and workshops teaching you the basics to get you started on your research!
The top 3 finalists will have their full paper published in the STEM Fellowship Journal!
Theme: Big Data de terre
This year’s competition is focused on exploratory data analysis of Canadian Space Agency (CSA), National Aeronautics and Space Administration (NASA) and European Space Agency (ESA) open data to produce descriptive and graphical summaries of data with the goal of revealing the impact of environmental condition on human health and well-being. It invites high school students to go further into predictive analytics of optimal environmental characteristics for long-term, long-distance space travel.
- Collect and analyse geostatic terrestrial data along with your city, province, federal and humanitarian open data. Explore the Canada’s 18 UNESCO Biosphere Reserves.
- Discover human health and well-being issues (physical health, public health, mental health, etc.) in the context of local, regional and global environmental problems.
- Seek and suggest environmental, socioeconomic solutions for sustainable living environments.
Engage in self-directed learning through trial-and-error. Participate in our workshops to learn the data science skills needed for you to analyse your problems.
Participate in workshops to learn the data science skills needed to analyse problems
Interact in person and remotely with mentors and students across Canada
Have your work published in the STEM Fellowship Journal! The top 3 finalists have full manuscripts published and all participants have their abstracts published.
Practice your communication skills and present your findings to a panel of judges
SciNet Supercomputer Tour
$1000 SAS Analytics Talent Award- Toronto
$1000 SAS Analytics Talent Award- Calgary
$1000 RBC Arnold Chan Memorial Award for Student Innovation- Toronto
$1000 RBC Arnold Chan Memorial Award for Student Innovation- Calgary
$500 Digital Science Scholarly Communication Award- Toronto
$500 Digital Science Scholarly Communication Award- Calgary
we emphasize four key skills
The ability to translate aggregates of data into abstract concepts and conduct data-based reasoning .
The ability to create solutions in contexts where only part of the requirements are known
Cognitive Load Management
The ability to discriminate and filter the information needed to produce successful solutions
The ability to participate in the collaborative construction of solutions.
September 1, 2018
Registration begins via Eventbrite
October 20, 2018
Team Registration Deadline via Eventbrite
Form your team(s) of up to 4 students and register them online.
The Challenge Registration form is here
February 1, 2019
Deadline for Full Project Report submission
February 21, 2019
Week of October 2, 2018
Week of Oct. 2, 2018 – Orientation Sessions
Toronto (and telepresence): SciNet UofT
MaRS West Tower, 661 University Avenue, Suite 1140, Toronto ON M5G 1M1
October 2nd, 2018- register here.
Calgary Cassio A/B, University of Calgary
October 4th, 2018- register here.
*Orientation sessions are run by data science experts from SciNet, IBM Cognitive Class & SAS.
Orientation session recording will be provided after the sessions end.
Check out our past orientation session here.
October 21, 2018
- Form your team(s) of up to 4 students and register them online. The Challenge Registration form will be found on Eventbrite. Pay participation/abstract publication fee of $125 (tax included) per team.
Crowdsource the knowledge and investigate analytics tools CISCO Academy Python Pandas, SAS Academy Programing and open source data analysis courses and tools- choose one you will learn and use.
- Workshops Covering entrepreneurial innovations, Overleaf, Cisco Python, R, SAS and Tableau.
- Organize and plan your project We recruited a good number of industry experts who are willing to mentor student teams. Based on the team choice of data tools we will help to find mentors from amongst the data analytics and scholarly publishing companies/ community. Also, feel free to go through family connections or use orientation session connections.
- Work on your data set for 2.5 months: Learn together, from your mentor and online. Slice and dice it, zoom in and out, find patterns, trends, and important segments.
- Tell the story of your data discovery through a scientific report. Use Overleaf professional scholarly communication platform to prepare and submit your project report.
Week of February 4, 2019
ANNOUNCEMENT OF FINALISTS
The finalists (top 10 teams) will be announced!
If your team is selected, you will deliver a presentation at Big Data Day, the culminating event for the BDC.
Westmount Charter School: Elena Pan, Claire Schroeder, Amna Sheikh, Julia Zhang
Westmount Charter School: Allan Cao, Sheridan Feucht
Burnaby North Secondary School: Jay Zou, Kevin Ye, Brian Ning, Brian Yao
Strathcona-Tweedsmuir School: Lindy Zhai, Gracia Angeline Soenarjo, Cecilia Liu, Brennan Cowley Adam
Webber Academy: Shounak Ray, Jaqueline Seal, Evin Chin
St. George’s School: Kevin Li, Joshua Xu, Howard Chin
Webber Academy: Nicholas Wilger, Nicholas Sweerts, Rohin Dhadli, Daniel Awotundun
Earl Haig Secondary School: Milad Saadati, Christopher Chifor, Isaac Liao, Seyed Sepehr Seyed Ghasemipour
Mission San Jose High School: Era Dewan, Ayush Dewan
Earl Haig Secondary School: Maria Pasyechnyk, Robin Nash, Arya Shababi, Ali Seena Shakeri
St. Francis High School: Rohit Menon, Aditi Menon
TanenbaumCHAT: Jonah Garmaise, Ethan Ohayon, Ryan Goldberg, Mason Silver
PACE: Claire Beckley, Zev Friedman, Shezreen Khan
St. Malachy’s Memorial High School: Yanfei Wei, Tianming Han
Dave Carter (M.A.Sc.) is an engineer with the Text Analytics group at National Research Council Canada and is based in Ottawa. He is the technical lead for NRC’s situational awareness/outbreak detection platform.
Dr. Svetlana Kiritchenko is a research scientist at the National Research Council Canada. She received her Ph.D. in Computer Science from the University of Ottawa (Canada) and her M.Sc. in Applied Mathematics and Computer Science from Moscow State University (Russia). She primarily works in the areas of Computational Linguistics and Natural Language Processing (NLP). Her research interests include ethics and fairness in NLP, sentiment and emotion analysis, text classification, social media analysis, and medical informatics. As part of the NRC-Canada team, she has developed several text classification systems (for sentiment analysis and health-related social media mining) that ranked first in international shared task competitions.
Deepika knows that driving transformation starts from the inside out
and is passionate about making sure that marketing has a seat at the
table to help lead change. She has overseen all aspects of marketing
in large organizations (Wiley, Capcom) and entrepreneurial ventures
(RedLink, Tapjoy), building brands, web and e-commerce, digital
marketing, messaging, demand generation, thought leadership and
Prior to embarking on her Marketing career, at Intel, she was
responsible for analyzing savings for successful product rollouts.
And as an IT consultant, worked with clients to roll out ATT
high-speed data services and lead VOIP features for Sprint.
Deepika holds a Bachelor of Engineering from Bangalore University and a Master of Business Administration from Fordham University.