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Explore how machine learning enhances simulations of matter, from electronic to molecular structures, boosting computational methods and potentially leading to new physical insights and exotic materials.
Explore machine learning applications in fluid dynamics and climate modeling, including physics-informed approaches, data integration, and simulation validation techniques.
Explore industry-academia collaborations in AI, accessing and benefiting from industry-developed tools, and shaping future developments through feedback.
Explore a probabilistic model for regional COVID-19 transmission using mobile data and epidemiological time series, with insights on its practical application in Norway's pandemic management.
Explore REACT-1 study's insights on SARS-CoV-2 spread in England, including variant tracking and community-based surveillance for informed policymaking and situational awareness.
Explore data-driven modeling of COVID-19 in India, examining intervention timing, estimating unreported deaths, and developing a framework for pandemic resilience through mathematical analysis.
Insights into Wales' COVID-19 response: challenges of rapid implementation, decision-making with uncertain science, and system-wide efforts in diagnostics, surveillance, and control measures.
Explore the statistical challenges and political implications of measuring COVID-19's global impact, including methodologies for calculating excess mortality and their consequences for international statistics.
Exploring the risks of text mining in historical analysis and advocating for a hybrid approach that combines data science with traditional historical methods.
Exploring global land struggles, from rent strikes to political movements, and their impact on property rights. Examines historical land reforms, international actors, and implications for climate change governance.
Explore digital twin technology for fleet modeling in this interactive workshop, connecting researchers with stakeholders to solve real-world problems.
Interactive workshop exploring spatial inequalities through energy simulation, connecting researchers with stakeholders to address real-world challenges in energy distribution and access.
Explore computer vision applications in real-world problem-solving through an interactive workshop from the Alan Turing Institute's Research in Action series.
Explore interactive tools for designing low-traffic neighborhoods and learn about their impact on urban mobility and community well-being.
Explore international AI collaboration and data governance with insights from the Global Partnership on AI event, featuring keynote speaker Chris Philp MP on fostering cooperation in AI development.
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