Alan Turing Institute Courses

Policy, Science and the Convening Power of Data - Neil Lawrence

Exploring the role of data science in policy-making during COVID-19, emphasizing open data methods, interdisciplinary collaboration, and the challenges of deploying AI expertise to address real-world problems.

• YouTube
• 42 minutes
• On-Demand
• Free Video

Making Sense of Mobile Network Traffic Using Deep Learning - Paul Patras, Edinburgh

Explore deep learning techniques for analyzing mobile network traffic, enhancing urban data interpretation and smart city development.

• YouTube
• 20 minutes
• On-Demand
• Free Video

Using AI in the Exploration of Urban Modelling Scenarios - Richard Milton & Flora Roumpani

Explore urban modeling scenarios using AI, focusing on smart cities, deep learning for mobility data, and building resilient systems for future urban challenges.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Theory and Methods Challenges in Counterfactual Prediction - Karla Diaz-Ordaz

Explore causal inference in AI prediction, enhancing algorithms with 'what if' capabilities for decision-making and fairness. Learn about counterfactual prediction challenges and methodologies.

• YouTube
• 24 minutes
• On-Demand
• Free Video

TMCF Workshop Use-Cases - Counterfactual CPMS & Emerging COVID Work, Niels Peek

Exploring causal inference in AI prediction algorithms for decision-making, focusing on 'what if' scenarios in healthcare and insurance, with applications to COVID-19 pandemic response.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Enriching Latent Class Models With Counterfactual Prediction - Mark Gilthorpe

Exploring counterfactual prediction in AI: enhancing prediction algorithms with 'what if' capabilities for improved decision-making and fairness in healthcare, insurance, and beyond.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Online Harms & Disinformation Post-COVID

Explore challenges and solutions for online safety, AI moderation, and disinformation in the digital age with experts discussing regulation, privacy, and social media's role.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Data, Privacy and Public Health - Countering COVID-19 with Technology and Trust

Exploring ethical challenges in using data and technology for COVID-19 response, balancing public health benefits with privacy concerns and trust in government interventions.

• YouTube
• 58 minutes
• On-Demand
• Free Video

Technology and Public Participation in Constitution-Making - Felix-Anselm van Lier, Max Planck

Explore how digital platforms and machine learning can enhance citizen engagement in policy-making, addressing challenges and opportunities in direct democracy initiatives.

• YouTube
• 24 minutes
• On-Demand
• Free Video

Neural Opinion Dynamics Model for the Prediction of User-Level Stance Dynamics - Yulan He, Warwick

Explore neural opinion dynamics for predicting user stance shifts in digital democracy platforms, enhancing citizen engagement and policy-making through machine learning techniques.

• YouTube
• 22 minutes
• On-Demand
• Free Video

Ethics Review of Machine Learning in Children’s Social Care - Ellie Ott & David Leslie

Explores ethical considerations and practical principles for implementing machine learning in children's social care, addressing risks, data quality, and strategies to improve outcomes for families.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Approximate Cross Validation for Large Data and High Dimensions - Tamara Broderick, MIT

Explore efficient cross-validation techniques for large datasets using linear approximation and dimensionality reduction. Learn about error bounds, high-dimensional challenges, and practical applications in machine learning.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Benign Overfitting - Peter Bartlett, UC Berkeley

Explore benign overfitting in machine learning, focusing on linear regression, deep networks, and statistical implications. Gain insights into effective rank, regularization, and future research directions.

• YouTube
• 42 minutes
• On-Demand
• Free Video

A Function Space View of Overparameterized Neural Networks - Rebecca Willet, University of Chicago

Explore function spaces of overparameterized neural networks, focusing on weight-bounded networks and their approximation capabilities. Insights from Radon transform analysis reveal novel perspectives on learning with ReLU networks.

• YouTube
• 35 minutes
• On-Demand
• Free Video

Learning From Ranks, Learning to Rank - Jean-Philippe Vert, Google Brain

Explore differentiable approaches to integrate permutations, sorting, and ranking in machine learning, focusing on embedding techniques and relaxation of ranking operators.

• YouTube
• 42 minutes
• On-Demand
• Free Video