As a key partner in the Erasmus+ DILAN project, Kampal Data Solutions is playing a pivotal role in Work Package 4, where they have integrated AI-assisted tools to complement ethnographic studies of EU scientists.
One of the most significant milestones achieved by Kampal is the creation of global collaboration maps with their specialized Kampal Research platform. They have extracted critical metrics on research productivity and impact for a selection of highly active researchers. This data-driven approach allows the DILAN project to move beyond traditional surveys, providing a detailed look at how scientists currently share their work and identifying specific training needs to enhance their digital presence.
These visualizations explore the complex ecosystems surrounding researchers, illustrating how scientific communities interact and influence one another. This has been particularly instrumental in tracking female leadership within STEMM fields, ensuring that the project’s training resources are inclusive and address the specific visibility challenges faced by women in science.
As we reach the end of 2025, Kampal’s focus shifts to the final re-tracking of researchers in Work Package 4. This phase involves automated data collection through the Semantic Scholar API to maintain stable bibliographic information after recent anti-scraping limitations on other platforms.
These final efforts will culminate in comprehensive comparative reports that validate the project’s impact, providing a lasting legacy for how AI can support the professional growth of scientists across the European Union.