Aalto University is a multidisciplinary university, where science and art meet technology and business. We are educating game-changers: Future visionaries and experts that can renew society by art, creativity, design and innovation. On a practical level, it means giving people the skills and abilities required for future labor markets and entrepreneurship. This makes labor market analysis and prediction of future needs important capabilities for the university. Aalto also wants to know precisely what its students are passionate about, and balance their education offering so that it takes both labor market and people’s passions into account.
Aalto is now hosting an innovation challenge to find new ways to do the above – to better analyze and predict labor market requirements for studies, to be able to learn more about student’s preferences, and perhaps use available data and knowledge to better help students, teachers, staff and employers contribute to more future-fit studies. Do you have expertise or ideas that could help us experiment with this?
Your idea and solution should answer one or more of the following questions:
- Are offered studies matching the needs of the future labor market? This would mean analyzing data related to studies, and matching or comparing it to information about labor markets (be it statistical data or some other relevant knowledge of employers’ needs).
- How could we better understand students’ preferences? What they would want to study, what they actually end up studying, and why.
- Could we use existing data to gain better insights about studies? For the university and its staff, it would be useful to be able to see how well courses are doing in terms of popularity, grades, dropouts, or if some courses are roadblocking students’ studies. For students, it might be interesting to have a better view at how they are doing.
- Open challenge – what new kinds of services and solutions could be created by utilizing data on the studies?
To help the development of proof-of-concepts during the challenge, we have reserved some key people and resources to support your work.
Mentors & Experts
Each team will be assigned with their own mentor from Aalto. There will also be educational experts and data/system specialists from Aalto to help teams with their work.
Data & Software
Teams will have access to a basic set of data, including pseudonymized student data, Aalto course API, and studyguide information.
Various labor market statistics will be available for the challenge. The teams are also encouraged to come up with their own suggestions.
Other tools & Tech
IBM Bluemix and Watson platforms for software development, and Samsung consumer electronics such as VR gear, smartphones and tablets for demonstration purposes are available for teams to use if they choose.
The teams compete for pilot projects worth 20 000 euros. Teams that don’t get to the pilot phase will be paid a reward of 1500 eur. Rewards are paid against invoice after the team has presented their demo to the jury.
- Applications close – September 29th
- Applicants informed about the selections – October 6th
- Challenge kickoff webinar – October 12th 10:00
- Hackathon (mandatory for all team members) – October 26th 10am – October 27th 6pm
- Pilot proposal submission DL – November 8th
- Pilot kickoff meetings – November 13th
- Pilot phase – December – February
Apply with a team of 2-3 people. All applications will be reviewed after the deadline and all applicants will be informed one week after the deadline. Teams that submit early have a small advantage because we have more time to read their applications. 6-8 teams will be selected to join the challenge.
Who will own my idea?
Ideas are free for everyone to use but the IPR for any software codebase or documents produced during the competition will stay with the team. The host has the first right of refusal to negotiate further collaboration with the team to purchase or continue working on the project initiated during the challenge.