The focus of the Novi Saad meeting was on populating templates for the upcoming Datathon. The group produced a template which will now be populated for a set of individual challenges – the template is illustrated below.
The Energic COST action aims to demonstrate the potential of Volunteered Geographic Information such that data, generated by a wide range of participants ranging from authoritative bodies across scientists to individual citizens, can be used to provide information relevant to scientific, societal and policy in a European context. The objective of activities within the Energic Datathon is to allow anyone to participate in our activities, and demonstrate the potential of transformations of data to knowledge. To lower the barrier to entry for participants each Datathon task provides:
- a description of the underlying motivation for the task
- sets out an initial set of questions that might be explored through the data
- gives access to some prepared data and suggests potential additional sources, and
- suggests potential tools and methods which might be used in the task.
However, these guidelines are only intended to give a starting point to the activity, and we encourage you to be as creative as possible. Entries to the datathon will be judged by a panel of Energic members, and the best will be invited to present their results at the Energic closing meeting in London.
Specific introduction including overarching objectives
Available datasets and additional potential data sources
Potential questions to be asked of the data
Possible methods and tools
Reporting your results
You should prepare a report of your results which explains briefly:
- The data and methods you used (and provides links to these such that your work can be reproduced)
- Interprets your results, concentrating on what you learnt through the datathon and linking to the questions set out above
- Emphasises challenges in carrying out the datathon
- Illustrates the originality and novelty of your approach
- References any external sources you used to help you complete the task
- A 2 minute video pitch presenting your report
Your report should be prepared as a self-contained set of HTML pages which can be accessed by the judges and uploaded to the Energic website after the challenge. All content on the website should be licensed CC-BY-SA (where you use data sources covered by other licenses you should provide tools and access to these and make clear any limitations in their use).
A panel of Energic members will judge the quality of entries to the Datathon and select the best examples for presentation at the final Energic meeting in London. The following criteria will be used in judging entries:
- Overall quality of the entry to the datathon
- Originality and novelty of the approach taken
- Quality of the description of the data and tools used, especially with respect to reproducibility
- Soundness of the approach taken
- Potential scientific, societal and policy impacts of the results
- Quality and enagement in the video pitch
Information for organisers
The Energic Datathon is open to anyone. However, it will be most fun, and probably also most productive for small groups (typically 3-4 people). The tasks have been designed such that they can be carried out by groups with different levels of skills, ranging from basic spatial analysis using standard GIS to creation of more complex workflows using programming skills. We estimate that typical time investment for a Datathon task should be of the order of 12 hours – however, it is of course up to participants how much or how little time you invest. The only hard rule is our deadline for submissions of 30.07.2016.
There is no need to register for the Datathon, just submit your report firstname.lastname@example.org by the deadline. However, we’d like to know that you’re taking part, so feel free to drop us a mail telling us who you are, how many of your are participating in which challenges, and whether or not others are welcome to join you. Please Tweet about the event using the HashTags #Energic and #Datathon.
Some useful information about running datathons events can be found at:
For this particular datathon: