CIF VALIDATIONS

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The problem we solve with the CIF workshop is that, while anyone can benefit from impact insight using CIF, it takes a bit of know-how to make forecasts worth sharing.

During the workshop, participants get the tool, LCA theory and expert support they need to make high quality forecasts. Afterwards, participants can make their own forecasts, inform decisions with impact science, and share clear and credible impact statements about their innovation.

Cif workshops are tailored to the occasion and companies attending, but generally follow the same structure. Continue reading for the learning outcomes, example agenda, preparation and team.

PLACEHOLDER VALIDATION

Similarities between the Impact Hypothesis and the Climate Impact Forecast are the use of the same LCI dataset, functional units and offering a streamlined approach based on LCA, aimed in particular to support decisions early on in impact innovation. Both are online tools that make impact data easy to use.

The most important difference is that a hypothesis only considers two impact factors; one for the resource being saved or replaced, and one for the resource needed to do so. In a forecast on the other hand, any number of impact factors can be considered. The forecast also allows more detailed descriptions about assumptions. CIF provides a visual output while the IH only provides text and numbers. And a Forecast is potentially more accurate and it can be validated, but that takes time that applicants don’t have. In short, the Hypothesis is more limited than the Forecast, so that can be used without introduction and provides concise and comparable impact statements in just a few minutes.

MORE PLACEHOLDER

To organizations looking to screen applicants on climate impact, we offer the possibility to customize the Impact Hypothesis format. Include questions on other impact metrics, time horizons, innovation types and so on, to select for the kind of impact you want to support.

PLACEHOLDER VALIDATION

Similarities between the Impact Hypothesis and the Climate Impact Forecast are the use of the same LCI dataset, functional units and offering a streamlined approach based on LCA, aimed in particular to support decisions early on in impact innovation. Both are online tools that make impact data easy to use.

The most important difference is that a hypothesis only considers two impact factors; one for the resource being saved or replaced, and one for the resource needed to do so. In a forecast on the other hand, any number of impact factors can be considered. The forecast also allows more detailed descriptions about assumptions. CIF provides a visual output while the IH only provides text and numbers. And a Forecast is potentially more accurate and it can be validated, but that takes time that applicants don’t have. In short, the Hypothesis is more limited than the Forecast, so that can be used without introduction and provides concise and comparable impact statements in just a few minutes.

MORE PLACEHOLDER

To organizations looking to screen applicants on climate impact, we offer the possibility to customize the Impact Hypothesis format. Include questions on other impact metrics, time horizons, innovation types and so on, to select for the kind of impact you want to support.