News Story

KMi and Springer Nature renew their partnership for another two years

Thursday 27 Nov 2025

We are very happy to announce that KMi has secured a new two-year contract with Springer Nature (SN), which will continue the long-established strategic partnership until December 2027. This marks the continuation of an exceptional collaboration that has now spanned more than 11 years and represents a strong example of how academia and industry can work together to drive innovation and deliver meaningful technological advancements.

This new phase of the partnership will be led by senior members of the Scholarly Knowledge Mining (SKM) team: Prof. Enrico Motta, Dr Francesco Osborne, and Dr Angelo Salatino.

Over the next 24 months, the collaboration will focus on deepening the integration of cutting-edge AI technologies into Springer Nature’s core workflows. The SKM team will support the publisher across three strategic pillars.

AI-driven Content Acquisition

Working closely with the SN’s Content Acquisition team, SKM will investigate advanced data-driven AI techniques to expand and diversify the publisher’s content portfolio. These efforts are essential to help Springer Nature stay at the forefront of scientific publishing, equipping authors with increasingly relevant tools and ensuring that readers worldwide have access to high-quality, timely research literature.

Advanced Analytics for Research Landscape Intelligence

The SKM team will continue to deliver fine-grained, actionable insights through the AIDA Dashboard, one of KMi’s flagship technologies. The Dashboard combines statistical analysis, semantic technologies, and visual analytics to help users to gain insights about important trends in scientific publishing and how these relate to industrial sectors. Its continued adoption by a leading global publisher is a strong endorsement of the robustness and real-world value of our academic research outputs.

Intelligent Metadata Harvesting

The project also introduces a new research line focused on harvesting and organising metadata from conferences across a wide range of domains, particularly events that do not traditionally publish proceedings. Capturing information from these non-archival events is a major challenge in Scientometrics, as such venues often represent the earliest stage where emerging ideas take shape. By developing new methods to systematically capture this type of “grey literature”, we aim to provide a more complete and timely representation of the global research landscape.

At KMi, we are excited to continue our journey with such a prestigious partner, one that consistently demonstrates a strong commitment to innovation. Above all, we take great pride in seeing our research translated into real-world applications that make a tangible contribution to the scholarly community and to society at large.