Get involved with Climate Hack.AI!
Climate Hack.AI is an international competition between the student communities of 25 of the top universities from the US, Canada, and the UK (including the likes of MIT, Stanford, and Oxford), seeking to make a substantial impact in the fight against climate change. Working with Open Climate Fix, our goal is to assist in building the world's best near-term forecasting system for solar electricity generation. Better forecasting of solar electricity generation will enable electricity grid operators around the world to do a better job of scheduling their grids. It is estimated that this, in turn, will reduce carbon emissions by roughly 100 million tons of CO2 per year by 2030.
In this competition, students will have the opportunity to meet and make lifelong connections with some of the brightest like-minded individuals in the world, win up to £50,000 (apx. $67,000), and travel to New York in a national final. Submissions could realistically have a massive tangible impact on the future of renewable energy, carbon emissions, and the healing of our climate.
Our partner and data provider, Open Climate Fix, is a non-profit lab contracted by the UK National Grid Electricity System Operator and uses machine learning to reduce industrial carbon emissions. They have prepared 104GB of EUMETSAT satellite imagery of the UK as training data for the competition. Further details on how to get involved can be found on the official competition website.
The PDS Data Bowl is a yearly competition that helps Princeton students get hands-on data science experience by working with and modeling interesting datasets. Students compete to win amazing prizes! Keep an eye out for the competition this spring.
1st Prize: Ibrahim Fan Club 2.0 (Andy Jeon, Alex Luo)
2nd Prize: GoodLabels (Martin Shi)
3rd Prize: BASE (Bashar Eid, Adithya Sriram)
Best Solution From a New Data Scientist: Candela (Kritin Vongthongsri)
Most Creative Solution: georg (Areeq Hasan, Alex Zhang)
Best Report: Pranav Avva, Kathy Yang (Pranav Avva, Kathy Yang)
Please do note that Princeton Data Science is a student organization and not a university department. Consequently, we do not sponsor PhD or Masters students.