The World Bank is interested in how “big data” can be used to address development questions, including how climate change affects food security and forestry and watersheds. Solutions may include but are not limited to analytical methodologies, APIs, algorithms, software applications, tools, and new data set generation. Technologies may include artificial intelligence, crowd-sourcing applications, data science, dynamic visualizations, machine learning, and predictive analytics. The Challenge will award US$10 thousand to the winner in each of the following two categories: (i) food security or nutrition, and (ii) forestry or watersheds. Submissions are invited from individuals, students, entrepreneurs, start-ups, university labs, private companies, nonprofits, and public sector agencies legally established in member countries of the World Bank Group. The closing date for submissions is 09 November 2016. Link