In December 2019, London will unveil its newest Crossrail line cutting journey times for many commuters. Using public transportation, housing, and geographic datasets, participants are asked to explore the impact of this new line on London.
How will the Crossrail line affect London’s traffic problems?
What is the potential time-savings, if any, of daily commuters?
What effect, if any, will this have on housing prices?
Pivigo will provide datasets from TFL, National Rail, and the city of London, hosted on an Azure platform.
The datasets will be hosted in a Azure data lake, access and support to Azure hosted ML SDKs, Jupyter notebooks, and VMs will be provided. Participants are free to use their own resources.
We invite anyone from beginner to advanced in the field of data analytics and data science to participate. Participants can be students, faculty, government workers, members of NGOs, or industry members. We welcome both teams and lone wolves. It is beneficial if you can code.
In addition to the top three prizes, every registered team that participates and presents their results will receive a goodie bag.
What is the entry requirement for me to join the hack?: The Hackathon is open to individuals or teams of up to 4 participants. Inter-organizational teams are allowed. Team members may include students, faculty members, government workers, members of non-governmental organizations (NGOs) and/or industry members. It is beneficial if you can code.
How are the awards judged?: The top three winners will be the team with the best visualisation, the best predictive model, and the team with the best insights.