Makerere University School of Public Health – Resilient Africa Network (RAN) in collaboration with AidData Center for Development Policy (AidData); and National Information Technology Authority Uganda (NITA – U ) have organized the 3rd Annual Hackathon on Climate Change on 22nd July 2016 from 7:30am to 6:00pm at RAN Lab (Plot 30 Upper Kololo Terrace opposite Kololo Airstrip – Makerere University School of Public Health Annex).
The Resilient Africa Network (RAN) funded by USAID is a partnership of 20 African universities in 16 countries. It is led by Makerere University with Tulane University’s Disaster Resilience Leadership Academy, Stanford University and the Center for Strategic and International Studies (CSIS) as partners.
The hackathon will be guided by the theme “Taking action to combat Climate Change and its impacts through Innovation & utilization of open data” Climate Change is expected to have a significant effect on the livelihoods of people living in poor communities. Globally, seasons are shifting, temperatures are rising and sea levels constantly fluctuating and due to climate change disasters such as landslides, floods, disease epidemics, famine, drought, are increasing in frequency and severity.
Against this background, participants will be challenged to use geospatial data to develop maps, mobile applications, visual aids and to leverage a variety of technology tools to create innovative solutions to address climate change and its impacts.
The hackathon will bring together developers, innovators, Entrepreneurs, Designers, Social Scientists and students from different disciplines and backgrounds to co-create solutions to climate change and its impacts through cross-disciplinary collaboration and mentorship. This is an excellent opportunity for individuals to hone their skills in innovative problem solving, geospatial research, program/policy design, to contribute towards development
The overall winners will walk away with US$250 and winners in second and third positions will walk away with US$150 and US$100 respectively.
Please follow link to register: http://www.ranlab.org/gishackthon/