“In our newsletters … we address not the science behind climate change, nor the technologies required to create change, but why change is happening so slowly and which cultural shifts are required before we can exist sustainably. When the science is clear and accepted, why do governments, consumers, businesses and others not act as if the world as we know it could come to an end?”
This is how we started out 2020 newsletter series back in October 2019. Not many of us would have been able to imagine then just how quickly our world could turn upside down; how quickly economies could grind to a near halt, arresting the economic growth that had been the be all and end all for the past two centuries; how quickly new ways of working, that had previously been discussed and debated at length and declared not to be possible or even feasible, could be embraced in a matter of days, globally.
Every year thousands of these innovations are submitted to Katerva. The submissions are reviewed by Katerva’s nomination committee and up to 50 are identified as Finalists. We are pleased to announce the 2020 Katerva Awards Category Winners poised to reshape the world.
Since October last year we have been exploring shifts in mindset and behaviour that are required if we are serious about moving towards sustainability. This sixth and last one in this series is probably the most challenging one: it requires us to let go of the worldview that economic growth is the only possible way to achieve human development.
In our six-part series we talk about shifts in mindset and behaviour that are required if we are serious about moving towards sustainability. Our latest one was about ‘Giving more importance to the feminine side’, before that the topics were ‘Thinking into the future while acting now’, ‘Letting go off the illusion of control control’, and ‘Understanding connectedness and thinking in systems’.
It is our great pleasure to announce the 2020 Finalists - the first round with our new awards categories. As always, our Finalists come from all corners of the world, winnowed from a large pool of submissions through a combination of machine learning and human interaction.