Turing Lecture - AI for Innovative Social Work, Desmond U. Patton
Exploring the intersection of AI, social media, and youth violence, focusing on how digital expressions impact vulnerable communities and the potential for data science to address social inequalities.
Using Data Science to Do Good, With Rayid Ghani
Explore how AI and data science can address social challenges, from preventing lead poisoning to reducing police misconduct, while tackling explainability and fairness issues in high-impact public policy projects.
The Companies We Keep - In Search of "Shady" Corporate Activity
Explore the world's first network graph mapping UK corporate ownership data, built to uncover potential corrupt practices and improve transparency in business structures.
The New Real Observatory - Bridging Climate Data and Art through AI
Unveiling an interactive climate AI platform for artists, bridging global datasets with local perspectives. Explore transformative ideas through art and AI to address climate change and foster a thriving planet.
Statistical Analysis of Networks - Professor Gesine Reinert, University of Oxford
Explore network analysis techniques, from basic summaries to advanced models, for interpreting complex data structures and making statistical inferences.
From Joins to Aggregates and Optimisation Problems - Professor Dan Olteanu, University of Oxford
Advanced database query processing: worst-case optimal join algorithms, functional aggregate queries, and in-database optimization for machine learning. Covers theory and practical applications in data science.
Communicating Complex Data with Model Driven Journalism
Explore innovative approaches to bridge the gap between data science capabilities and public trust in statistics, focusing on making data-driven reporting more accessible and relevant for decision-making.
Data Science and Data Journalism Projects
Exploring data science in journalism: challenges, opportunities, and ethical considerations for leveraging public data to enhance reporting and foster critical thinking in the post-truth era.
Outside Insight - The Meltwater Data Science Platform - Dr Giorgio Orsi
Explore Meltwater's Data Science platform for Media Intelligence, featuring data collection, enrichment, and AI applications to extract insights from online conversations for strategic decision-making.
Statistical Inference for Networks - Professor Gesine Reinert, University of Oxford
Explore network analysis, from basic concepts to advanced statistical methods, covering degree distributions, clustering coefficients, and mathematical models for understanding complex interconnected systems.
Mathematical Representations and Models - Professor Jared Tanner, Oxford University
Explore mathematical models for high-dimensional data analysis with Oxford's Prof. Tanner. Learn about Fourier series, localisation, coherence, and advanced techniques for efficient information extraction and processing.
Statistical Methodology and Theory - Professor Richard Samworth, Cambridge
Explore high-dimensional and nonparametric statistical inference with Prof. Samworth. Learn techniques for handling Big Data challenges, including random projections and subsampling for variable selection.
Social Network Analysis - Considerations for Data Collection and Analysis
Explore social network analysis techniques, data collection methods, and analytical approaches. Learn about key concepts like weak ties, homophily, and community detection to enhance your understanding of network structures.
Geometric Graph-Based Methods for High Dimensional Data
Explore geometric graph-based methods for segmenting large datasets, combining nonlinear PDE image segmentation with linear algebra techniques to solve graph cut optimization problems in various applications.
Safeguarding Users’ Sensitive Data in the Cloud and the Browser
Explore techniques for protecting sensitive data in cloud and browser environments, focusing on least privilege principle and preventing information leakage even during successful attacks.
Reasoning with Big Code
Explore challenges and solutions for managing large, evolving codebases undergoing rapid concurrent modification. Learn about recent developments in computer science for effective code reasoning.
Learning Real-World Probabilistic Models with Approximate Message Passing
Explore probabilistic modeling for big data using factor graphs and message passing. Learn how Amazon tackles real-world problems with advanced statistical techniques in the era of structured data.
Systems Challenges in Graph Analytics
Explore challenges in building scalable graph analytics systems, focusing on algorithm behavior, resource allocation, and efficient hardware utilization for large-scale data processing.
Unveiling the Mysteries in Spatial Gene Expression
Explore cutting-edge statistical methods for analyzing spatial gene expression data, uncovering cellular mysteries and advancing computational biology with Professor Bin Yu.
The Data Science of Politics
Explore how data science revolutionizes political analysis, predicts volatility, and raises ethical challenges in the digital age of social media and real-time monitoring.
Ethics in the Age of Information
Explore ethical challenges in the information age with Professor Luciano Floridi. Delve into the intersection of data science, politics, and technology, examining implications for society and decision-making.