Charlotte Lindsey joins HCSS as non-resident Subject Matter Expert
HCSS is pleased to announce that Charlotte Lindsey has joined us a non-resident Subject Matter Expert! Her work focuses on the impact, opportunities, and risks of digitalisation and emerging technologies for the humanitarian sector, as well as cyber influence operations, cybersecurity, and digital policy. Ms. Lindsey: "As someone deeply committed to addressing the evolving challenges at the intersection of technology, conflict, law and humanitarian action, affiliating with HCSS represents an exciting opportunity to contribute to forward-thinking research and innovative solutions. HCSS’s interdisciplinary approach aligns with my commitment to addressing the impact of emerging challenges for humanity, global peace and security."
Protecting European AI-Related Innovations: Preventing Their Use in China’s Military Advancements
Over the past years, China’s rapid military modernisation has caused alarm in the United States, Asia and Europe. China’s self-stated goals express its intent to leap to a position of leadership and self-sufficiency in artificial intelligence (AI)-based and enabled technologies, with major implications for the military domain. If the US-China military balance of power in the Indo-Pacific definitively tips in China’s favour, this could have far-reaching consequences for security in East Asia, as well as globally. Drawing on a collaborative research effort by HCSS and Datenna, this report provides a detailed analysis of China's technological strategies and industrial landscape, offering European policymakers actionable recommendations for managing technology transfer and safeguarding security interests.
Job Opening: Data Scientist & Software Developer (Junior) (OPEN)
We are expanding our Datalab team with a junior-level data scientist & software developer who has a strong quantitative background and an affinity for geopolitics and national and international security. We are specifically looking for data scientists & software developers who have knowledge of methodologies in data science and development, such as machine learning, statistical modelling, and NLP/Generative AI. Candidates must be able to function in a dynamic project organisation and have a strong interest in building data-driven tools and applying data analysis for strategic policy advice. Deadline to apply is January 31, 2025.
