WiDS 2019 Datathon
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The 2nd Annual Women in Data Science (WiDS) Datathon took place January 29 - February 27, 2019. The Global WiDS team, West Big Data Innovation Hub and the WiDS Datathon Committee worked together with Planet and Figure Eight to bring a dataset of high-resolution satellite imagery to participants, building awareness about deforestation and oil palm plantations.
Thank you for participating in this predictive analytics challenge focused on social impact. Learn more about the datathon details, the background about palm oil, and answers to your questions on the FAQ's page. The WiDS Datathon winners announced at WiDS Stanford on March 4th:
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What's a Datathon?A datathon is a data-focused hackathon — given a dataset and a limited amount of time, participants are challenged to use their creativity and data science skills to build, test, and explore solutions. Try something new, apply what you know, learn from other participants, and improve your data science skills along the way!
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Click to Tweet: Congratulations #WiDSDatathon winners! 👏🎉 |
Who Can Participate in the Datathon
We invite anyone from those new to data science to veterans of the field to participate. For those who have never tried machine learning or worked with satellite data before, we will be releasing a series of guides to help you get started with the algorithms and dataset.
The WiDS Datathon aims to inspire women worldwide to learn more about data science, and to create a supportive environment for women to connect with others in their community who share their interests. Toward these ends, we open the datathon to individuals or teams of up to 4, at least half of each team must be women (individuals identifying as female). Participants can be students, faculty, government workers, members of NGOs, or industry members.
The WiDS Datathon is hosted on Kaggle, an online community of data scientists and machine learners. If you haven’t participated in Kaggle competitions before, check them out — the platform has a ton of complex challenges with real-world impact and starter datasets for learning data science basics.
The WiDS Datathon aims to inspire women worldwide to learn more about data science, and to create a supportive environment for women to connect with others in their community who share their interests. Toward these ends, we open the datathon to individuals or teams of up to 4, at least half of each team must be women (individuals identifying as female). Participants can be students, faculty, government workers, members of NGOs, or industry members.
The WiDS Datathon is hosted on Kaggle, an online community of data scientists and machine learners. If you haven’t participated in Kaggle competitions before, check them out — the platform has a ton of complex challenges with real-world impact and starter datasets for learning data science basics.
Getting Started
To get started with the dataset and challenge we recommend you:
Lastly, be creative, and have fun! Good luck to all participants — we’re so excited to see what you create.
- Join the WiDS Datathon community mailing list to receive news and announcements.
- Create an account on Kaggle, and enter the WiDS Datathon 2019 Competition.
- Consider forming a team with new collaborators! Connect with potential teammates on the Kaggle forums, at an in-person team formation or Datathon-focused event hosted by WiDS Ambassadors. Register with your team no later than February 24th.
- Read background material about satellite imagery (from our partners at Planet Labs); we will be posting guides about image analysis and beginner-friendly machine learning algorithms on our website soon.
- Share and join the conversation on social media with #WiDSDatathon. Media files can be accessed here.
Lastly, be creative, and have fun! Good luck to all participants — we’re so excited to see what you create.
WiDS Datathon Webinar
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A WiDS Datathon webinar tutorial with Vani Mandava & Jennifer Marsman took place on February 14th. Didn't get to attend? Watch the recording or download the slides.
The webinar was targeted towards beginners and novice participants. Vani and Jennifer introduced machine learning concepts, gave an overview of the WiDS Datathon on Kaggle, and provided tutorial-style guidance for one approach to solve the problem using Microsoft's custom vision service through the Python SDK. |
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The WiDS Datathon 2019 is a collaboration led by the Global WiDS team at Stanford, the West Big Data Innovation Hub, and the WiDS Datathon committee:
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The WiDS Datathon is made possible by the following WiDS Global Innovation Sponsors:
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Click to Tweet: Thank you #WiDSDatathon collaborators @wids_conference and committee @FigureEightInc @Intuit @kaggle @KaggleDatasets @MSFTresearch @planetlabs @ICMEStanford @BerkeleyDataSci @westbigdatahub @WesternDigital. Find out more: http://ow.ly/YiX730nsqpJ pic.twitter.com/YohOI68Jlf Click to Tweet: The #WiDSDatathon is made possible by @wids_conference Global Innovation Sponsors: @awscloud @intuit @MSFTresearch @WalmartLabs @WellsFargo @WesternDigital Find out more: http://ow.ly/YiX730nsqpJ #WiDS2019 pic.twitter.com/mFKIdARDAM |