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Evidence-Based Health Care

Heart Failure in Primary Care: Lessons from Big Data

Dr Clare J Taylor, Academic GP, explores how we can use large, anonymised GP datasets to improve our understanding of heart failure management in primary care.
Computer Science

Integrating Logic, Probability and Neuro-Symbolic Reasoning using Probabilistic Soft Logic

An overview of work on probabilistic soft logic (PSL), an SRL framework for large-scale collective, probabilistic reasoning in relational domains and a description of recent work which integrates neural and symbolic (NeSy) reasoning.
Department of Statistics
Captioned

A Theory of Weak-Supervision and Zero-Shot Learning

A lecture exploring alternatives to using labeled training data.
Department of Statistics

Joining Bayesian submodels with Markov melding

This seminar explains and illustrates the approach of Markov melding for joint analysis.
Computer Science
Captioned

Strachey Lecture - How Are New Technologies Changing What We See?

There has been a proliferation of technological developments in the last few years that are beginning to improve how we perceive, attend to, notice, analyse and remember events, people, data and other information.
Computer Science
Captioned

Strachey Lecture - Mixed Signals

Mixed Signals: audio and wearable data analysis for health diagnostics
Department of Statistics

Causality and Autoencoders in the Light of Drug Repurposing for COVID-19

Caroline Uhler (MIT), gives a OxCSML Seminar on Friday 2nd July 2021.
Captioned

Emerging technology and systemic risk – maintaining a secure and resilient digital infrastructure as we build back better

Sadie Creese and Jamie Saunders discuss the steps that need to be taken by technologists, businesses, government and the international community to ensure that our digital infrastructure continues to provide the level of resilience and security we need.

How to use metrics to understand your audience and sell subscriptions

In this podcast we look at how one of the world's leading newsrooms uses data to inform various steps of the newsmaking process in order to engage with audiences and drive subscriptions.
The Oxford/Berlin Creative Collaborations

Cre-AI-tivity: Blood in a Whatsapp message?

This last in our trilogy explores data as the foundation of AI systems. We learn how this enables mapping individual learners' progress and benchmarking in a teaching context, but also how that data exchange raises ethical issues.
Captioned

Data work: the hidden talent and secret logic fuelling artificial intelligence

Professor Gina Neff discusses artificial intelligence and data work, and the ethical and social implications of integrating these tools into organisations.
Department of Statistics

(Not) Aggregating Data: The Corcoran Memorial Lecture

Professor Kerrie Mengersen, Distinguished Professor of Statistics at Queensland University of Technology in the Science and Engineering Faculty, gives the The Corcoran Memorial Lecture, held on 21st January 2021.
Captioned

21st century technologies for tackling 21st century pandemics

Christophe Fraser of Oxford’s Big Data Institute, who advises the UK’s NHS COVID-19 Tracing app, and Prof Oliver Pybus discuss the opportunities and challenges of successfully applying new technologies to pandemics past, present, and future.
Department of Statistics

Probabilistic Inference and Learning with Stein’s Method

Part of the Probability for Machine Learning seminar series. Presented by Prof Lester Mackey (Microsoft Research New England and Stanford University).
Captioned

Privacy is Power

Carissa Véliz discusses her new book 'Privacy is Power', focusing on the importance of understanding how our data is used and how we can protect our privacy.
Oxford Martin School: Public Lectures and Seminars
Captioned

Psychologically informed micro-targeted political campaigns: the use and abuse of data

Data-driven micro-targeted campaigns have become a key part of political strategy. As personal and societal data becomes more accessible, we need to understand how it can be used and whether it is relevant to regulate political candidates' access to data.
Ethics in AI

1g. Ethics and AI at the Oxford Big Data Institute

Gil McVean, Big Data Institute, gives the seventh talk in the first Ethics in AI seminar, held on November 11th 2019.
Global Health

Sophisticated biostatistics for complex clinical research

Professor Ronald Geskus from our OUCRU unit in Ho Chi Minh City, Vietnam, tells us about the contribution of biostatisticians to complex clinical research.
Malaria

Using big data to eliminate malaria

Dr Xin Hui Chan from MORU (Mahidol Oxford Research Unit) in Bangkok, Thailand, tells us about the use of big data in our efforts to eliminate malaria
Evidence-Based Health Care
Captioned

Selection bias in cluster randomised controlled trials

Professor David Torgerson, Director of the York Trials Unit, gives a talk for the Evidence Based Healthcare podcast series.

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