Hippo DAI Lab: Hyper-heuristics for Interpretable Public Policy Analysis
Dr. Pradeep K. Murukannaiah and Dr. Jazmin Zatarain Salazar direct the Hippo lab, a Delft Artificial Intelligence (DAI) lab run by experts in the fundamentals of AI technology along with experts in AI challenges.
Fair, Interpretable, and Human-Centered AI
The core goal of the Hippo lab is to advance multi-purpose decision support using fair, interpretable, and human-centered AI methods by addressing the following major scientific challenges:
- How can we integrate subjective notions of ethics and fairness into algorithmic design?
- How can we create definitions of succes to find effective and equitable trade-offs in policy search?
- How can we develop interpretable AI methods to gain public confidence and provide unbiased support in real decision-making contexts?
- How can we support public policy deliberation via collaborative AI methods?
AI for Climate Change Mitigation and Adaptation
The Hippo lab seeks to develop and test AI methods in the context of climate change. The effects of climate change are expected to exacerbate existing inequalities, prompt social unrest, and lead to stark geopolitical tensions. To address the interests and well-being of all the affected parties and minimize conflict, distributive justice should be at the center in policy design. The importance of considering distributive justice in climate policy, and other large societal challenges, motivates research in AI-based decision support to search for alternatives that are balanced across multiple sectors, regions, and generations, and counteract existing asymmetries in policy design.
Read more about the Hippo lab.
PhD Vacancies
Currently, there are four PhD vacancies in the Hippo lab. For more information on these positions and for applying, click the following links.
- Hyper-heuristic Optimization for Fair Public Policy Design
- Keywords: multi-objective optimization, AI fairness, climate change mitigation and adaptation, water resources management, policy analysis, and systems analysis
- Decision Support for Climate Policy Design
- Keywords: multi-objective optimization, AI fairness, climate change mitigation and adaptation, water resources management, policy analysis, systems analysis
- Supporting Climate Change Deliberations via AI
- Keywords: natural language processing, text mining, social media analytics
- Explainable AI for Climate Policy Design
- Keywords: explainable AI, multi-objective optimization, evolutionary computing
In addition to the PhD positions, we also encourage MSc and BSc students, especially in TU Delft, to contact us for thesis and research projects.
Interdisciplinary Team
The Hippo lab involves an interdisciplinary team of researchers from the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) and Faculty of Technology Policy and Management (TPM).