In the early 1990s, a group of volunteers organised an event in the Mana Pools National Park, Zimbabwe. The goal: to count the animals present on the central floodplain. The first attempt was a success, and the game count became an annual event. Each year, on a weekend close to the full moon in September, citizen scientists head to the park armed with clipboards and camping gear. Working in teams, they walk set transects through the bush, counting all the animals they encounter. The data helps us understand the health of the park, and can give us some insights into the lives of the animals surveyed. And that’s where you come in.
This is not a prediction challenge (although predictive solutions are allowed). Instead, we’re giving you the data and asking you to dig in, tease out the hidden patterns, and share your findings with us. There may be all sorts of interesting trends hidden in the data, and the hope is that by exploring this together we will be able to unlock insights that might escape the notice of a single ecologist or researcher.
The objective of this challenge is to interpret and generate insights from the data from 1995 to 2019 in the Mana Pools National Park.
You are invited to come up with an original visualization and/or a written report using the data provided.
Read more about the Mana Pools Game Count here.
About iXperience (ixperience.co):
iXperience dreamed of creating a university that prepared students for the future, and inspired them to crave challenging themselves and pushing themselves out of their comfort zone.
iXperience started in 2013 as a study abroad coding bootcamp that would bridge the gap between academia and industry. Since then, it's grown into a global operation that has helped more than 1000 students accelerate their careers. Throughout, their focus has stayed on creating authentic connections within their community. They go to great lengths to get to know their students, teachers, and partner companies, which they believe has been instrumental to their success.
Teams and collaboration
You may participate in this competition as an individual or in a team of up to four people. When creating a team, the team must have a total submission count less than or equal to the maximum allowable submissions as of the formation date. A team will be allowed the maximum number of submissions for the competition, minus the highest number of submissions among team members at team formation. Prizes are transferred only to the individual players or to the team leader.
Multiple accounts per user are not permitted, and neither is collaboration or membership across multiple teams. Individuals and their submissions originating from multiple accounts will be disqualified.
Code must not be shared privately outside of a team. Any code that is shared, must be made available to all competition participants through the platform. (i.e. on the discussion boards).
Datasets and packages
The solution must use publicly-available, open-source packages only. Your models should not use any of the metadata provided.
You may use only the datasets provided for this competition.
The data used in this competition is the sole property of Zindi and the competition host. You may not transmit, duplicate, publish, redistribute or otherwise provide or make available any competition data to any party not participating in the Competition (this includes uploading the data to any public site such as Kaggle or GitHub). You may upload, store and work with the data on any cloud platform such as Google Colab, AWS or similar, as long as 1) the data remains private and 2) doing so does not contravene Zindi’s rules of use.
You must notify Zindi immediately upon learning of any unauthorised transmission of or unauthorised access to the competition data, and work with Zindi to rectify any unauthorised transmission or access.
Your solution must not infringe the rights of any third party and you must be legally entitled to assign ownership of all rights of copyright in and to the winning solution code to Zindi.
Submissions and winning
You may make a maximum of 10 submissions per day.
After the challenge has closed and the winners announced the winning solution will become the property of Zindi.
The winners will be paid via bank transfer, PayPal, or other international money transfer platform. International transfer fees will be deducted from the total prize amount, unless the prize money is under $500, in which case the international transfer fees will be covered by Zindi. In all cases, the winners are responsible for any other fees applied by their own bank or other institution for receiving the prize money. All taxes imposed on prizes are the sole responsibility of the winners.
You acknowledge and agree that Zindi may, without any obligation to do so, remove or disqualify an individual, team, or account if Zindi believes that such individual, team, or account is in violation of these rules. Entry into this competition constitutes your acceptance of these official competition rules.
Please refer to the FAQs and Terms of Use for additional rules that may apply to this competition. We reserve the right to update these rules at any time.
Reproducibility
- All data used
- Output data and where they are stored
- Explanation of features used
- Your solution must include the original data provided by Zindi and validated external data (no processed data)
- All editing of data must be done in a notebook (i.e. not manually in Excel)
Data standards:
- You must use the most recent versions of packages. Custom packages in your submission notebook will not be accepted.
- You may only use tools available to everyone i.e. no paid services or free trials that require a credit card.
Consequences of breaking any rules of the competition or submission guidelines:
Monitoring of submissions
Further updates and rulings of note:
We reserve the right to update these rules at any time.
Note that there is no leaderboard scores for this competition, as evaluations will be completed by a panel of judges.
Imagine that your client is the team of citizen scientists that have collected this data over the years, but do not necessarily understand everything that the data is saying. They are concerned about the animals, their well-being, and what people and other actors can do to help the animals.
Submissions will be evaluated within 5 working days of the close of the competition by a panel of judges on the following criteria:
Make sure that you present any findings with the appropriate amount of explanation. Models (if used) should be interpreted and explained - the goal is understanding, not just accuracy. Submissions can be made in any format, provided our judges can view them. Jupyter notebooks, PDFs, interactive websites… However, ALL code used for your submission must be shared, and should follow the Zindi guidelines on documentation etc. Your submission needs to include references to all papers, blogs and articles used.
Please label your files:
username_submission_XXX
Where XXX is a unique ID to identify when your submission was made.
Your most recent submission will be the submission you are judged on.
There is only one prize for this competition. All Zindians may participate but only Zindi users with less than 500 points are eligible to win the prize.
There are no points awarded for this competition.
The prize is one scholarship to a 6-week data science remote program called ‘iX Remote’ from 6 July to 14 August 2020, valued at $3 195 USD.
For more information about this remote learning program, please check-out their website here: https://ixperience.co/remote.
The iX Remote program includes:
Please note:
Competition closes on 7 June 2020.
Final submissions must be received by 11:59 PM GMT.
We reserve the right to update the contest timeline if necessary.
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