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Greening the Economy: Sustainable Cities
Introduction to Graphic Illustration
Computational Social Science Methods
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Exploring large-scale text data for social and cultural insights, focusing on rare linguistic events, language change dynamics, and online hate speech detection using innovative computational methods.
Explores the concept of "ground truth" in text analysis, discussing annotation methods, intercoder agreement, and comparing expert vs. crowd-sourced coding for social science research.
Exploring the fusion of simulation models and machine learning for policy analysis, addressing challenges in parameter estimation and initialization for complex systems forecasting.
Explore how deep learning revolutionizes cosmology, from detecting gravitational lenses to generating galaxy images and modeling cosmic structures, addressing challenges in modern astronomical surveys.
Explore data ethics with Dr. Mittelstadt, covering algorithmic fairness, accountability, transparency, and privacy. Learn about ethical challenges in AI and data analytics, with real-world examples and regulatory insights.
Exploring the balance between personalized technology benefits and user privacy concerns, focusing on consent, data usage, and ethical considerations in algorithmic personalization.
Explore Julia's impact on efficient research code, from self-driving cars to astronomy. Learn about cutting-edge tools for mathematical modeling and machine learning in various fields.
Explore Turing's lesser-known 1948 paper on numerical computation and its impact on complexity theory. Discover how it unifies two major traditions in computational theory.
Explore formal verification techniques for complex semiconductor designs, focusing on symbolic trajectory evaluation and symmetry exploitation to enhance microprocessor reliability and efficiency.
Explore secure computation techniques for protecting private data, including ORAM constructions and encrypted search schemes. Learn about cryptographic advancements for efficient and privacy-preserving data processing.
Explore dynamic word embeddings to test semantic instability in negative vs. positive language, with implications for sentiment analysis tools and linguistic evolution.
Explores modal analysis techniques for structural health monitoring, focusing on efficient sampling and compression strategies in wireless sensor networks to minimize power consumption.
Explore linear dynamical systems, the Orbit Problem, and invariant synthesis. Learn about semialgebraic and semilinear invariants, Jordan blocks, and related concepts in computational mathematics.
Explore continuity in word-to-word functions and its connection to language classes. Delve into transducers and their role in computing continuous functions, with applications in automata theory.
Exploring algorithmic accountability and human-centered oversight for safer AI systems. Emphasizes comprehensible, predictable, and controllable designs to prevent failures and improve safety in critical services.
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