At the first day of the WCRP Open Science Conference in Rwanda, our economist Issa had the privilege to attend insightful plenaries, parallel sessions, panel discussion and forums addressing crucial issues in climate research and the use of science in adaptation.

A main topic, and one relevant to our work, is the importance of bridging science and decision-making. The process of integrating science into actions is a much needed facet of climate change adaptation, especially when using guided research to tailor techniques on a local level.

As mentioned in our previous post, the topic of how to communicate and, in a sense, translate science is one that is being considered by finres. Science, along with machine learning and AI, are the core of our work.

While it can be argued that there is gap between scientists and those with the ability to make lasting decision in climate change adaptation, for quite a while decision-making has drawn on developments in science to improve research and practice. Within our team, the input of scientists makes our recommendations more relevant and effective and ultimately are able to help farmers increase the yields and sustain their livelihoods.

The use of various tech and science practices have built our work in other ways. With regard to S2S (seasonal forecast) our meteorologist Camille Sansonnet is using machine learning to overcome certain limitations in existing knowledge. We believe that the attention to how science is an active participant in the usefulness of decision-making will lead to more precise and less limited actions to adapt to climate hazards.

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