Recreating and Extending the EU Critical Raw Material Assessment with a Transparent, Automated Tool
This paper introduces a transparent, automated toolkit that successfully replicates the European Commission's 2023 Critical Raw Material supply risk assessments with high accuracy while enabling reproducible, updatable, and forward-looking evaluations to support the CRM Act.
Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer
Every modern economy relies on a hidden foundation of raw materials, from the metals in our smartphones to the minerals needed for wind turbines and electric vehicles. While these resources are essential, their supply chains are often fragile, concentrated in just a few countries, and vulnerable to political instability or trade disputes. To navigate this uncertainty, the European Union has spent over a decade developing a system to identify which materials are "critical." This system does not simply list rare items; it calculates a score for each material based on two main factors: how important the material is to the European economy and how likely it is that the supply of that material could be cut off. These assessments help policymakers decide where to invest in domestic production, recycling, and new trade partnerships to keep the economy running smoothly. However, a significant problem has long plagued these reports: while the European Commission publishes the final scores and conclusions, the raw data and specific calculations used to reach them have rarely been made public. This lack of transparency makes it difficult for outside experts to verify the results or update them quickly when new information becomes available.
In a new study, researchers Ole Meyer and Alexandra Pehlken have built a transparent, automated tool designed to solve this problem. Their goal was to recreate the European Commission's 2023 critical raw material assessment from scratch, using only publicly available data and a standardized computer program. Instead of relying on the complex, manual spreadsheets and expert judgments that typically underpin these reports, the team created a digital toolkit that gathers data on global mining, international trade, and government stability, then processes it through the same mathematical formulas used by the European Union. By doing this, they created a "black box" that is no longer black; anyone can see exactly how the numbers were derived. The researchers tested their tool by running the calculations for the 2023 report, which covers the period from 2016 to 2020. They found that for 63 out of the 78 materials they were able to analyze, their automated results matched the official European Union scores almost perfectly, with a difference so small it is barely noticeable.
The few materials where the results did not match perfectly offered a fascinating glimpse into the hidden mechanics of the original assessment. For twelve of the fifteen materials that showed a larger difference, the discrepancy arose because the European Commission had used expert knowledge to fill in gaps where public data was missing. For instance, in cases involving rare earth elements or specific metals like bismuth and germanium, official reports sometimes rely on estimates from industry experts to determine how much of a material is produced within Europe or how it is processed. Since the researchers' tool could only use data that was publicly published, it could not replicate these expert estimates, leading to different supply risk scores. In other cases, the differences were traced to inconsistencies within the official documentation itself, where different sections of the report cited slightly different numbers for the same country's production. This discovery highlights that while the official reports are authoritative, they contain layers of human judgment that are invisible to outside observers.
Beyond simply checking the past, the researchers used their tool to look forward, extending the data timeline by four years to simulate what a 2027 report might look like. This exercise demonstrated the power of an automated system: while the European Commission takes years to compile its next major report, this tool can instantly update the assessment as soon as new trade or production data is released. The simulation revealed shifting trends in supply risk. For example, the risk associated with phosphate rock decreased slightly as trade patterns shifted, while the risk for cobalt increased as one country, the Democratic Republic of the Congo, became an even larger share of the global supply. Similarly, the supply risk for manganese rose as the European Union's reliance shifted to a different supplier with a less stable political environment. These changes happened gradually, but the tool was able to spot them immediately, showing how quickly the landscape of material security can change.
The ultimate value of this work lies in its ability to make the assessment of critical materials a living, breathing process rather than a static snapshot. By proving that the European Union's complex methodology can be recreated with high accuracy using public data, the researchers have shown that transparency is achievable. Their tool allows for the instant calculation of supply risks, the easy updating of underlying data, and a clear record of every step taken to reach a conclusion. While the system still cannot fully replicate the parts of the assessment that rely on private expert knowledge, it provides a robust, reproducible foundation that can be improved over time. As the world faces increasing pressure to secure its supply chains for green technologies, having a tool that can instantly verify and update these critical assessments offers a new level of clarity and reliability for policymakers and the public alike.
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