Scientific Espionage is defined as the act of using scientific personnel, exchange researchers, and dual appointments, as well as technology, to obtain information and expertise about the plans, future innovation and activities especially of a foreign nation or a competing company, usually through illegal means. The primary aim of scientific espionage on behalf of foreign states is to acquire information in order to be a step ahead in terms of knowledge or to fill existing research gaps in knowledge with the aim to compete for profits.
A 2023 report published by Bundesamt für Verfassungsschutz has outlined preventive steps which can be implemented to mitigate risks of non-approved outflow of scientific flow of data, information, and expertise. The report assumes that institutions of higher education and scientific research institutions in Germany can probably be at the risk of espionage activities using various techniques to gain access to privileged data, expertise and unauthorised information. Methods for science espionage are ever evolving in the age of Artificial Intelligence (AI). The various methods for science espionage includes both explicit and implicit methods. The focus is more on acquiring explicit scientific knowledge as it can be easily conceptualized, formalized, codified and prototyped for usage and adaptation in different scenarios. European institutions must also evolve, placing purpose at the core of research and scientific discovery and use AI tools to enhance learning through structured social learning and human interaction. Embracing AI for combating enhanced cybersecurity threats of espionage requires training of European scientific personnel in the use of AI and Big data and Networks of Cybersecurity. The EU general data protection regulation (GDPR) is a good initiative in this regard. There is also a need for inculcating values and respecting security protocols and the message should be clearly conveyed to the partners, who often don’t seem to understand the norms due to lack of familiarization with rules based systems in Europe. Orientation weeks explaining the details to visiting researchers and scientists at the beginning of the co-operation could go a long way to deter practices unacceptable in Europe. At the same time, scientific personnel must deter themselves from honey pot attractions and should not fall prey to lure and lust.
Scientific espionage in the long term poses a threat to Europe and its dominance as an economic and scientific player. Trust and confidence building measures in joint scientific could go a long way in preventing IP theft, loss of patents, image and profit. Bild, the German tabloid newspaper recently reported that Volkswagen might be forced to halt production at key plants soon due to a shortage of semiconductors following the Dutch government’s seizure of chipmaker Nexperia. The Netherlands cited risks to EU’s technological security, prompting Beijing to retaliate by banning exports of Nexperia chips from China. Rare earth metals, tariffs, supply chain disruptions, geo-political tensions, are current concerns that face the semiconductor supply chain. Narratives set by the West for the East, especially models and assumptions need to be adjusted at the scholarly research level so that industrial manufacturing and jobs are not impacted. This is a question of many for the complexities involved in understanding scientific espionage which can lead to a catastrophic situation.
China’s phenomenal rise can be attributed as a result of structural reforms leading to innovation, discovery, speed of deployment and agility. It represents a tectonic shift in knowledge acquisition as a national culture to progress. China is setting global milestones in chemistry, AI, material sciences through gradual capacity building and research ecosystem in universities.
Scientific innovation in Asia comes from looking outside the box, and sometimes from looking deeper inside it. While some broad inventive ideas might be borrowed from Europe, it necessarily cannot be termed as scientific espionage. Dynamic tidal lanes in Beijing are changing the way traffic flows by adjusting direction based on traffic demand, easing congestion during peak hours. It is an example of innovation merged with practicality of lean thinking. Europe Innovates, Asia Imitates seems like a forgone narrative. In AI and Smart Cities, companies like SenseTime and IFLYTEK have succeeded in integrating vision, speech, and data into daily life from education to traffic flows.
Europe values process, ethics, branding and planning, while Asia values iteration, speed, experimentation and agility. Scientific espionage can be avoided by willing to learn from each other, co-operate and compete based on principles of mutual respect and trust.
Sajal Kabiraj
Dr., Principal Lecturer of Strategy
Faculty of Business and Hospitality Management
LAB University of Applied Sciences
Lahti
Finland
