(test) b impact summary

This is an impact report of the citizen science project z (test) really best. The scores displayed summarise the results of the assessment process designed by the MICS project. For more information on how they were calculated, visit https://mics.tools

Organisers Participants Observations

Project Information

Impact Assesment progress:: 97% complete

Rules-based scores

These scores are calculated based on a set of rules written to combine a specific set of impact metrics on the same theme into a single indicator. A higher score means the project is carrying out more activities related to the theme of the indicator and is, therefore, more likely to have a higher positive impact in this area. Rule-based scores are only calculated for specific themes. Overall assessments can be found below in the machine-learning--based scoring. Descriptions and explanations of impact indicators are provided at about.mics.tools/indicators (e.g., the score is low on economic productivity because the project did not include specific aspects related to improving efficiency). Different scores trigger different recommendations presented in the following section. Also, scores are not linked to project objectives; they try to capture a broad range of impacts even if the project does not consider or care about all of them. All scores are out of 42.

Impact Indicators		Impact score (max 42)	Average score (of projects on platform)
Society	Activeness	26	22
Society	Involvement	44	17
Governance	Policy	49	13
Governance	Sustainable Development Goals	64	16
Economy	Economic productivity	420	13
Economy	Financial sustainability	42	19
Environment	Environmental awareness	42	21
Environment	Environmental footprint	42	13
Science	Scientific productivity	42	18
Science	Interdiscplinary science	48	21

Recommendations

The following recommendations are determined by the scores the project received in the previous section. The recommendations are based on citizen-science best practice as defined in the current scientific literature and how other projects have taken action to improve their impact in specific areas. Of course, following these recommendations does not guarantee the project will suddenly have a higher impact; it all depends on the specific context of each project, but they might provide helpful inspiration.

Society	Activeness	The activeness of participants within a project is an important aspect of citizen science. Activeness depends on participants being aware that they are contributing to a project, having a lot of responsibility in the project, and being satisfied with the process of participation. This project should ensure that all aspects of activeness have been considered.
Governance	Policy	Wow! The project has been so prolific in its policy influence that it has broken our scoring system. This suggests the project is quite exceptional in its interactions with policy makers. Maybe consider how you could share your experience with other projects so they can get inspiration and have similar success with policy influence?
Governance	Sustainable Development Goals	The project is related to an improbably high number of SDGs. So improbably high in fact, that it has broken our scoring system for this indicator. Excellent work!
Economy	Economic productivity	Well done! Can you give us a loan to improve MICS further?
Economy	Financial sustainability	Well done! The project has a high score due to forward thinking in creating an exploitation plan, planning sustainability activities to prolong the projects' influence and fully appraising any recurring costs and maintenance.
Environment	Environmental awareness	Congratulations! This project goes to great lengths not only to promote environmental awareness and educate participants on environmental challenges, but also to measure improvements in participants' environmental attitudes, behaviour and knowledge.
Environment	Environmental footprint	The project has taken actions to improve its environmental footprint by decreasing its material footprint, reducing its polluting emissions, using a sustainable procurement policy, and including pro-environmental actions for participants (such as litter picking). Congratulations!
Science	Scientific productivity	Congratulations - in a world of "publish or perish", this project has high scientific productivity. With a large number of publications in high impact-factor journals, the project's research has been well cited, indicating outcomes have been widely shared.

Machine Learning Scores

The following scores were calculated using a statistically-driven machine-learning approach, a type of AI that learns to perform a task by analysing patterns in data. This is an experimental approach to citizen-science impact assessment, and the exact reasoning behind the scores is not explainable. The scores represent a best guess of the impact the project is having in each domain. How can you use the score? Well, this platform gives a common framework for impact assessment so you can use the scores: to see how the project's impact evolves over time; to compare the project with others; to report to funders and participants; or for your organisation's internal reporting. All scores are out of 42.