Hack for Sweden 2019 is all about sustainability and creating real tools for the good of our society. Our overall framework is Agenda 2030 and the UN:s 17 global goals. The 6 categories for this year’s hackathon are the 6 most datamature areas, identified by Gartner on behalf of the Swedish Government in 2018
Each category have the challenges that you can choose to compete in. What challenge do you want to tackle in Hack for Sweden 2019? Read more about each area here.
Education & Science
Det Sverige vi drömmer om
What if we combine Data
1.How can we highlight and promote societal challenges with a market potential to entrepreneurs?
2.How can we measure and compare companies sustainability work?
3.How can we in a sustainable way improve the delivery of goods?
1.How can we facilitate for citizens to make sustainable choices in their everyday life?
2.How can we ensure a good supply of clean water in the future?
3.How can we provide knowledge and insights about climate change to the citizens?
1.How can we use data strategically to decrease the human illnesses and mental disorders?
2.How can we improve society’s care for the elderly?
3.How do we improve individual health and community wellbeing through better natural disaster preparedness, accelerated response and a greater capacity to recovery?
1.How do we improve the possibilities to lifelong learning and increase the movement in the Swedish labour market?
2.How do we ensure competence in an increasingly changing labour market?
3.How do we improve the integration of newly arrived in the Swedish labour market?
Education & Science
1.How do we decrease the digital divide?
2.How do we offer better support for citizens concerning career and educational choice?
3.How do we make scientific results more accessible to the citizens in order to fight fake news?
1.How can we make personal transport safer and simpler with a clear sustainable perspective?
2.How do we make it possible to enjoy the experience of travelling, without the physical movement through time and space?
3.How do we create smarter cities through visualizing dataflows from traffic?