3 Green Deal Indicators
Climate change and environmental degradation are an existential threat to Europe and the world. To overcome these challenges, the European Union created the European Green Deal strategic plan. It aims to make the EU’s economy sustainable by turning climate and environmental challenges into opportunities, and making the transition just and inclusive for all.
Our data observatory is competing in the EU Datathon 2021. We believe that introducing Open Policy Analysis standards with open data, open-source software and research automation can help the Green Deal policymaking process. Our collaboration is open for individuals, citizens scientists, research institutes, NGOS, companies.
3.1 Aggregating Count Data
We need to improve conservation by improving wildlife monitoring. Counting plants and animals is really tricky business.
The marbled murrelet is an enigma. It wasn’t until the 1970s that biologists discovered where the chunky brown-and-white bird made its home, and even then it was by accident: A tree-climber found a murrelet chick at the top of a redwood. Most other bird habitats had been mapped for centuries. But who would have thought to look for a sea bird’s nest miles away in the middle of an old-growth forest? And it’s elusive. California birders can go a lifetime without seeing one. Every day at the break of dawn, the murrelet zips down from the redwood forest hills, where it lives, to the ocean, where it feeds. It then returns under the cover of darkness. Using remote acoustic sensors and machine learning to analyze the audio, biologists are now better able to track populations of species that were previously hard to monitor. With a threatened species like the marbled murrelet, that can make a huge difference. The better the data on its population and nesting patterns, the better our understanding of how its habitat is threatened, and the more effective conservation efforts can be.
To analyze governmental, social data with ecological data, we need to place them on the same map. Biostatisticians, ecologists often work with count data – counting trees, birds, various species. We need to aggregate count data over the same maps that statisticians use to count people, measure the GDP or make environmental and urban planning.
This knowledge is also very important for small area statistics that we apply in Social Attituted to Climate Change
3.3 Environmental Impact Indicator for Economic Activities
Our iotables package practically implements The Eurostat Manual of Supply, Use and Input-Output Tables with real life data and in R, and it is checked against the published results from Jörg Beutel (the author of this excellent manual), the Spicosa Project Report, and official UK statistical tables.
We used it to calculate the effects of cultural activities on various economies, but this methodology is particularly well-suited to measure the effects, or predict the effects of policy changes on greenhouse gas or pollutant emissions.
As a data curator:
- You identify openly accessible surveys data that can contains environmental effects for industries (Eurostat publishes them for many pollutants and greenhouse gases from the European Environmental Data.)
- Tell us which particular data table would be good candidate to report. Give us ideas how to bridge various problems. (The SIOT matrix must be 60x60 or 64x64), sometimes industries must be added together.
- If you write R code, we help you make the calculation yourself, if not, we’ll take over.
- Please assess the results with us, and let’s publish them regularly. (Some EU member states update their SIOTs every year, others every 5 years, but pollutant data may be available annually.)