Challenging data
for Good Health Well being

November 8-9, 2019

Event is over
Powered by LTP Porto Business School NOS

EUREKATHON powered by LTPlabs, PBS and NOS was a huge success. Thank you all for participating! 24 hours non-stop of challenging problems, great ideas and networking. 104 participants. 23 teams. 8 finalist projects. 3 winning teams. This year we challenged data for good health and well-being of the Portuguese population at risk of social isolation, meeting one of the 17 challenges of the United Nations for Sustainable Development.


Eurekathon is a competition organized by LTPlabs, Porto Business School and NOS that addresses societal issues associated with sustainable development goals. In its 1st edition, taking place in November 2019, you are challenged to develop concrete and creative solutions that contribute to healthy lives and well-being for all.

You will work side-by-side with like-minded data scientists and business analysts, in a team of 4 to 5 members. All teams will have access to a diversity of data sources, both private and public, that can be leveraged to build analyses, models and tools. At the end of the event, a jury will assess the potential impact, the novelty and the analytical depth of the work developed by the teams.


1st Prize


Worten gift card
  • from which 400€ will be donated to a non-profit NGO

2nd Prize


Worten gift card
  • from which 200€ will be donated to a non-profit NGO

3rd Prize


Worten gift card
  • from which 100€ will be donated to a non-profit NGO


Intermediate jury

Round table & talk


  • Day 1, Friday, November 8th, 2019

  • 5:00 pm

    Check-in & Coffee

  • 5:30 pm

    Opening Session – welcome to Eurekathon!

  • 6:00 pm

    Tic tac, Eureka time

  • 8:00 pm

    Dinner with a network

  • 9:30 pm

    Round Table: Let’s talk about Healthy Lives and Well Being for all

  • 10:30 pm

    Checkpoint #1 | Workspace

  • Day 2, Saturday, November 9th, 2019

  • 9:00 am

    Breakfast & good morning

  • 11:30 am

    Checkpoint #2

  • Around 1:00 pm

    Lunch at your convenience

  • 2:00 pm

    Talk: “Using Machine Learning to Prioritize Early Diabetes Screenings”, by Pedro Saleiro

  • 4:30 pm

    Checkpoint #3 & Pitch for Pre-selection

  • 6:00 pm

    Time is up!

  • 6:15 pm

    Share your Eureka! (Coffee-break at 6:45 pm)

  • 8:00 pm

    Farewell cocktail & let’s vote

  • 8:30 pm

    Winner announcement


Porto Business School

Av. Fabril do Norte 425, 4460-314 Sra. da Hora


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