The Dark Side of Communication
Explore effective communication by identifying words to avoid, understanding listening barriers, and learning techniques to speak engagingly. Discover how to navigate communication challenges in modern society and organizations.
How Does Proof of Work Actually Work?
Explore the mechanics of Proof of Work in cryptocurrencies, covering cryptographic hash functions and their role in blockchain security and mining processes.
Machine Learning and Data Science for Medicine - A Vision, Some Progress and Opportunities
Explore machine learning and data science applications in medicine, focusing on AutoPrognosis - an automated system for creating tailored, interpretable, and accurate prognostic models for various diseases.
Learning Logically Defined Hypotheses - Martin Grohe, RWTH Aachen University
Explore a declarative framework for machine learning using logic-defined hypotheses, discussing learnability results for various logics over strings, trees, and graphs.
Artificial Intelligence, Ethics and the Law - What Challenges? What Opportunities?
Exploring ethical and legal challenges of AI in society, featuring expert perspectives on transparency, accountability, and responsible development of AI technologies.
How Digital Data Collection Methods Impact Scientific Inference - Dr. Rebekah Tromble
Explore how digital data collection methods impact scientific inference, focusing on Twitter data analysis, APIs, and logit regression. Learn to navigate challenges in social and cultural research.
Finding More Needles by Building Bigger Haystacks - Dr. Jacob Eisenstein
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.
Simulation - The Challenge for Data Science
Exploring the fusion of simulation models and machine learning for policy analysis, addressing challenges in parameter estimation and initialization for complex systems forecasting.
Introduction to Data Ethics - Brent Mittelstadt
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.
Negativity and Semantic Change - Will Hamilton, Stanford University
Explore dynamic word embeddings to test semantic instability in negative vs. positive language, with implications for sentiment analysis tools and linguistic evolution.
Data Science Applications - Environment/Ecology
Explore statistical modeling techniques for ecological data, focusing on hidden Markov models, Bayesian inference, and capture-recapture methods. Learn to analyze and interpret complex environmental datasets.
Inference with Neural Nets
Explore neural network inference, covering mathematical foundations, data science concepts, and practical tools like PyTorch. Gain insights into advanced topics and real-world applications.
Graph Convolutional Networks - GCNs
Explore Graph Convolutional Networks: from traditional ConvNets to spectral and spatial approaches. Learn architectures, implementations, and applications of GCNs in this comprehensive lecture.
Black Scientists - Past, Present and Future
Panel discussion exploring diversity in science, focusing on Black scientists' contributions, challenges, and the impact of representation on research and society.
Affine Spline Insights into Deep Learning - Richard Baraniuk, Rice University
Explore deep learning through affine splines, understanding neural networks as matched filterbanks and partition-based signal distances. Gain insights into data augmentation and future research directions.
Insights from Predictive Policing - Tobias Brandt, Rotterdam School of Management
Explore data-driven decision-support in policing, examining the complex relationship between prediction quality and decision outcomes. Learn about end-to-end frameworks for model selection in smart city operations.
Geospatial Standards for Data Science - Dr. Gobe Hobona, OGC
Explore geospatial data standards for efficient sharing across sectors. Learn about OGC's role in developing interface standards and their impact on data science and defense applications.
The Defence Context - Geospatial Standards for Data Science
Explore geospatial standards in data science for defense, covering interoperability, machine learning, and emerging technologies to enhance information sharing and decision-making.
Deep Learning Volatility - Blanka Horvath, Kings College London
Explore deep learning for option pricing and calibration, including neural network perspectives, rough volatility, and model recognition in financial mathematics.
Information Manipulation - How the Media Ecosystem Is Being Gamed and Exploited - Craig Silverman
Explore how digital media is manipulated, from Russian trolls to ad fraud, and learn strategies to reclaim the information space from frauds and fakers in this eye-opening talk.
Be Prepared to Show Your Working! - Professor Sir David Spiegelhalter
Explore algorithmic decision-making transparency, validation, and explainability with Professor Spiegelhalter. Learn about the importance of demonstrating trustworthiness and intelligent transparency in automated advice systems.