Organization Application - Applied Data Science Lab
Thank you for your interest in Cybera’s Applied Data Science Lab program - our cohorts will run on the following schedule:
- Electron cohort: October 1, 2022 - March 31, 2023
- Neutron cohort: May  1 - August 31, 2023
- Proton cohort: October 1, 2023 - March 31, 2024
- 2024 - 2025 cohorts: To be announced.

Please complete this form if your organization wishes to be considered as an industry partner. There is a minimum financial commitment of $5,000 to participate, and industry partners are expected to:
- Contribute subject matter expertise
- Participate in various sessions throughout the 2 to 6 month program (on average 2 - 4 hours per week)
- Be an active participants in the two weeks leading up to the cohort start date

Application Submission Deadlines:
Applications for future 2024 - 2025 and 2025 - 2026 Cohorts are currently underway.

The industry partner opportunities are open to startups, entrepreneurs, and small to medium-sized companies based in or have an office in Alberta, that are:
- Looking to start their first data project or data product
- Facing a data science challenge (i.e. looking to augment or improve a product or service using data science)
- Lack in-house data science capabilities

If you have questions or need assistance, please contact: datascience@cybera.ca
For more information visit cybera.ca/adsl
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Email *
Which cohort are you applying to. (Check all that apply) *
Required
First Name *
Last Name *
Title *
Organization Name *
Organization Address (street, city, postal code) *
Phone Number *
Phone number of the person who can answer questions related to this application.
Briefly describe your organization *
Limited to 250 characters.
Which of the following categories best describes the sector you primarily work in? *
Required
What kind of business is your organization? *
Required
How many employees does your company employ? (Must be a number) *
What products or services does your company provide? *
Provide a brief summary of the data project you are proposing. *
Be sure to clearly indicate what your main data challenge is, and how you believe data science (including data analytics, data engineering, machine learning and artificial intelligence) can help you in developing a solution to the challenge. Responses are limited to 1000 characters.
What outcome would define success for your project? *
Responses are limited to 1,000 characters.
How would solving this data problem positively impact your company’s products and/or services? *
Responses are limited to 1,000 characters.
What stage are you at with your data problem? *
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