ELLIS Expert Lists
ELLIS created a network of outstanding AI researchers across Europe and Israel with a proven track record of scientific excellence. These scientists are top experts in their respective fields and participate in ELLIS in various ways, for example by building up cross-national research programs and ELLIS sites, and by supervising ELLIS PhD students.
The following lists, organized by frequently covered research areas, offer a service for journalists and other requesters looking for expert opinions on topics related to modern AI. All scientists listed below are members of the ELLIS network, carry out own research projects at scientific institutions across Europe and Israel, and are available to provide statements on their respective field of expertise.
For a more comprehensive overview of all ELLIS members and their research fields, you can also search our member and fellow databases as well as our research programs and ELLIS sites.
Contact: To get in touch with the experts below, please contact pr@ellis.eu.
Interview requests related to the ELLIS network and its strategy
If you would like to learn more about the pan-European ELLIS network as a whole, its strategy, structure and vision for modern AI research in Europe, please contact the ELLIS Board via pr@ellis.eu.
ELLIS expert lists - grouped by frequently covered research areas
- Art and Creativity: Exploring AI’s role in art creation, music composition, and creative industries.
- Assistive Tech and CareTech: applying AI to improve the independence of individuals with impairments such as visual, hearing, or cognitive.
- Autonomous Vehicles and Mobility: Understanding AI’s role in self-driving cars and transportation systems.
- Bias and Fairness: Addressing issues of bias, fairness, and inclusivity in AI systems.
- Business and Finance: Understanding AI’s role in business analytics, financial forecasting, and decision-making.
- Climate Sciences: The role of AI in understanding the Earth System and detecting and analyzing extreme weather events
- Cybersecurity: Discussing AI’s role in enhancing or threatening cybersecurity
- Education: How AI can support personalized learning, tutoring systems, and educational content creation.
- Ethics: Focusing on moral principles and challenges in AI development and application.
- Gaming and Entertainment: Exploring AI’s use in game development, virtual reality, and interactive entertainment.
- Foundation Models: Covering the basics of Large Language and/or Multimodal Models such as ChatGPT.
- Green Transition: Addressing the environmental impact of AI and sustainable practices.
- Healthcare: Exploring AI applications in medical diagnostics, treatment planning, and healthcare management.
- Human-AI Interaction: Focusing on how humans and AI systems interact and collaborate.
- Law: Discussing legal implications, policy-making, and regulatory concerns surrounding AI.
- Machine Learning and Deep Learning: Understanding the core technologies driving AI advancements.
- Natural Language Processing (NLP): Exploring how AI understands and generates human language.
- Privacy and Data Protection: Concentrating on data security, privacy concerns, and regulations like GDPR.
- Quantum Computing: Understanding the intersection of quantum computing and AI’s potential.
- Robotics and Automation: Discussing AI in robotics, industrial automation, and everyday life.
- Explainable AI (XAI): Making AI systems more transparent and understandable to humans.
- Social Good: How AI can address societal challenges like poverty, education, and disaster response.
- Technology, Media, and Democracy: AI’s impact on the trustworthiness of the information ecosystem.
