About the challenge

The aim of this hackathon is to introduce the participants to the power of geospatial data and how it can be leveraged to empower decision making in the event of a natural disaster such as a hurricane. The Caribbean as a region has the challenge of dealing with tropical storms and hurricanes which largely occur between April and November each year, commonly referred to as the hurricane season. Due to the impact of climate change on sea temperatures, the frequency and intensity of these storms seem to be increasing. This has an impact on lives and livelihood when these storms make landfall in the Caribbean or the Americas.

This hackathon is part of a two-year project (May 2021 - April 2023) aimed at isolating the impact of intersecting social, economic and ecological crises on human issues such as forced or illegal labour in The Bahamas. It is funded by the Templeton World Charity Foundation. The project partners are: The University of Nottingham (Rights Lab), Rescue Global Management Services and Global Geo-Intelligence Solutions (GGIS), with GGIS taking the lead in organising this hackathon.

 

Dates

April 21 and 22

(Time Zone: EDT)

April 21

  
9.30 - 9:35 Welcome Note
9.35 - 10:00 A presentation of the post disaster mapping and risk analysis work done by GGIS for the project.
10:00 - 10:20

A presentation of the ForesightDRM application.

Description of available geospatial datasets and how to access.

(This session will be recorded and made available to participates unable to join this online session live)
10:20 - 10:35 Questions and forming of teams (for sole participants)
15:00 - 16:00 Participants check-in and give overview of their ideas
22 April  
11:00 - 12:30 Mentors available for technical support
15:00 Deadline for Submission

 

Eligibility

  • Open to citizens of Caribbean countries, as well as global participants.
  • Participating teams can also join remotely.
  • Open to both students and professionals.
  • The hackathon code of conduct for participants is provided here: https://bit.ly/40EMswG

 

Requirements

What to Build

During this Hackathon we would like the participants to come up with ideas and implementations of different uses of geoinformatics for disaster mapping and response:

There will be six categories: 

  • Human & Social, 

  • Environment, 

  • Agriculture, 

  • Ocean,

  • Building & Infrastructure and 

  • an Open category. 

Participants are also free to make use of other available Opensource location-based APIs.

The submissions should be focussed on The Bahamas, with solutions making use of geospatial data such as GPS/GNSS, satellite remote sensing images, open IoT sensors and other open geospatial datasets. Participants can make use of free and open satellite data such as Landsat, or ESA Copernicus Sentinel 1, 2 or 3. We will also make available some processed indices (for The Bahamas) computed from high resolution Planetscope satellite imagery (produced by Sam Valman and Bethany Jackson). These include the Normalised Difference Vegetation Index (NDVI).

The submissions can be a mobile or web based solution or a combination of both.

Online teams are welcome to join.

What to Submit

1. A link to your code in an opensource repository such as Github or Gitlab. Ensure to give access to the judges if your repository is private.

2. Writeup on your solution and how it should work.

3. A two minute Video to explain and demo your application

Hackathon Sponsors

Prizes

$700 in prizes

Overall Winner

US$500

Second Place

US$200

Devpost Achievements

Submitting to this hackathon could earn you:

Judges

Dr Oluropo Ogundipe

Dr Oluropo Ogundipe
Global Geo-Intelligence Solutions

Irwin Williams

Irwin Williams
Teleios Systems

Dr Bethany Jackson

Dr Bethany Jackson
University of Nottingham

Judging Criteria

  • Creativity
  • Potential Impact
    A solution with significant positive impact to individuals, or the community or emergency or planning services, pre-disaster, during a disaster or post disaster.
  • Technical Implementation
  • Data or Sensor Integration
    Seamless integration of different geospatial data types.

Questions? Email the hackathon manager

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