Data Science Hackathon

Friday, 15 November 2019

Paviljoen 1
Boussinesqweg 1, Delft, The Netherlands
Date 15 November 2019
Time 09:00 - 16:30
Registry fee € Free
Chair Carmen Martinez Barbosa and Kun Yan (Deltares)


Are you interested in challenges related to climate change? If so, this 1-day Data Science event for data scientists, developers, entrepreneurs, modellers and students is for you! Thanks to the cooperation with Copernicus Climate Change Service* (C3S), this year's hackathon will challenge you to understand and quantify Climate Change impacts in several real-world applications. 

The topics covered during this event will be: 

  • Water scarcity
  • Urban heat island
  • Extreme rain
  • Coastal erosion
  • Coastal flooding

Share your thoughts, workflows and innovative data-driven solutions! The Climate Data Store (CDS) will provide you with valuable datasets to work with and the possibility to explore the Earth's past, present and future climate.  The participants will be grouped in multi-disciplinary teams (scientists, GIS experts, software engineers, entrepreneurs) to elaborate on 6 Use Cases covering both inland and coastal sectors and find sustainable solutions. The final product of the hackathon will be a per group pitch that considers technical and business plan together with a demo of the proposed solution.

To participate in this event you must fill in our online survey and register by clicking the button below. 

Please bring your loptop.


To ensure a successful hackathon and save time during the session, we would like you to prepare yourself before this Friday: 

  1. We have selected 4 use cases out of the originally proposed cases based on the survey results: water scarcity, unban heat island/urban extreme rain, coastal erosion, and coastal flooding. Depending on your role and interests, we will put you in one of the 4 groups. We will try our best to balance the groups by taking into account your interests, please bear with us if that`s not the case.  
  2. Dataset per use case will be provided for downloading with SURFfilesender, participants could also choose to download dataset from the Climate Data Store (CDS) and work with CDS toolbox. Register in CDS following this link:!/home
  3. We encourage to use Python as programming tool during the hackathon, as all example scripts and the CDS are based on Python. Please install Python 3 including enabling those python modules: xarray, os, pandas, numpy, datetime, os, statsmodels, scipy, matplotlib, cartopy (optional), pickle, astropy, time (optional) 
  4. Download use case data (by click the link):,
    1. Water scarcity:
    2. Urban heat island/ Urban extreme rain: dataset available on H2020 EUCP server, log-in details will be available soon. Python notebooks on the JupyterHub will be used, no need to install Python.
    3. Coastal flooding (updated 14th Nov):
    4. Exercise coastal flooding:
    5. Coastal erosion: 


09:00 – 09:15 Welcome and introduction
09:15 – 10:00 Use case introduction
10:00 – 10:30 Coffee Break
10:30 – 11:00 Divide group
11:00 – 12:20 Work on use cases: data access, use case concept
12:20 – 13:30 Photo, Lunch break and demos in DemoPlaza
13:30 – 15:00 Work on use cases: data analysis, pitch
15:00 – 16:20 Pitch (4 groups)
16:20 – 16:30 Summary

16:30 Drinks in Plaza

*The C3S service aims to:

  • Become an authoritative source of climate information for Europe.
  • Build upon national investments and complement national climate service providers.
  • Support the market for climate services in Europe.
  • Provide free public access to climate change information.