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2018, 22nd October

CLARA break out group @ Climateurope Festival 2018

Organised by Johannes Gabriel from foresightintelligence, several innovation projects were invited to hold break out groups during the Climateurope festival 2018 (#ClimatEU18) meant to review and improve their business models.

CLARA break out group (October 18, 2018) was moderated by Jaroslav Mysiak (CMCC), the coordinator of the project. Miguel Ángel Martínez-Botí (DG Research), Chris Howit (UK Met-Office), Rozemien De Troch (Royal Meteorological Institute of Belgium), Sebastian Bathiany (GERICS), and Biljana Milic-Petrovic (Serbian Met Office) participated in the tailor-made group discussion that lasted for 2 hours.

Jaroslav explained the climate services developed by the CLARA project, and outlined the business models followed by most of not all service developing teams. Most Clara-enabled services exploit the value of seasonal and/or decadal forecasts. Even if the skills of the Copernicus C3S forecasts are not uniform across Europe, the CLARA consortium believes and bet on their improvement in the coming years.

- Climate knowledge is only a part of intelligence needed to optimize business performance. Climate services encourage existing knowledge services to exploit climate knowledge.

- ‘Without solutions there is no problem’. Without alternative solutions (or smart improvement of existing practices) there are no choices and hence no (decision) problem. For climate services this means that ever better climate knowledge can only be used if the existing decision making space has or can create flexibility for exploring it.

- Climate knowledge has been and will be used in decision and policy making, but mostly strategic one - mostly for assessment of risks - services extend the use of climate knowledge to operational decision making.

- Showing the value of existing and new services offers ways for justifying public expenses and assessing their impacts.

- Designing value proposition means understanding the potential efficiency gains in users’ decision making. This is only possible by a thorough analysis of users’ value-creation chains and decision spaces.

2018, 22nd October

CLARA break out group @ Climateurope Festival 2018

 

Organised by Johannes Gabriel from foresightintelligence, several innovation projects were invited to hold break out groups during the Climateurope festival 2018 (#ClimatEU18) meant to review and improve their business models.

CLARA break out group (October 18, 2018) was moderated by Jaroslav Mysiak (CMCC), the coordinator of the project. Miguel Ángel Martínez-Botí (DG Research), Chris Howit (UK Met-Office), Rozemien De Troch (Royal Meteorological Institute of Belgium), Sebastian Bathiany (GERICS), and Biljana Milic-Petrovic (Serbian Met Office) participated in the tailor-made group discussion that lasted for 2 hours.

Jaroslav explained the climate services developed by the CLARA project, and outlined the business models followed by most of not all service developing teams. Most Clara-enabled services exploit the value of seasonal and/or decadal forecasts. Even if the skills of the Copernicus C3S forecasts are not uniform across Europe, the CLARA consortium believes and bet on their improvement in the coming years.

- Climate knowledge is only a part of intelligence needed to optimize business performance. Climate services encourage existing knowledge services to exploit climate knowledge.

- ‘Without solutions there is no problem’. Without alternative solutions (or smart improvement of existing practices) there are no choices and hence no (decision) problem. For climate services this means that ever better climate knowledge can only be used if the existing decision making space has or can create flexibility for exploring it.

- Climate knowledge has been and will be used in decision and policy making, but mostly strategic one - mostly for assessment of risks - services extend the use of climate knowledge to operational decision making.

- Showing the value of existing and new services offers ways for justifying public expenses and assessing their impacts.

- Designing value proposition means understanding the potential efficiency gains in users’ decision making. This is only possible by a thorough analysis of users’ value-creation chains and decision spaces.