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Events and Talks

 

In AI, Machine Learning and Data Science across the University and beyond.

Events

Financial Times_Kate Sargent
C2D3 event Talk In person

Beyond Academia - Financial Times, Chief Data Officer

27 Oct 2026

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Uni of Cambridge Conference Online

CCAIM Machine Learning for Healthcare Summer School 2026

7 Sep 2026 - 11 Sep 2026

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Uni of Cambridge Workshop In person

Cambridge Social Data School September 2026 : Investigating AI Infrastructure

7 Sep 2026 - 11 Sep 2026

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External Conference In person

The Fourth UK AI Conference 2026

29 Sep 2026 - 30 Sep 2026

Ensembl Browser Workshop External
Cambridge Networks Day 2019
Automating the Crowd: Workshop 2
Who are the real people behind artificial intelligence?
Machine Learning for Environmental Sciences 2019
CCIMI Conference - Geometric and Topological Approaches to Data Analysis
Advances and challenges in Machine Learning Languages
Cambridge Big Data Research Symposium
Cybersecurity for Smart Infrastructure: Challenges and Opportunities
Ensembl browser workshop
Data Challenges in Cardiovascular Research
Personal Data Stores: A new approach to control of online privacy
'Scores of Scores': Possibilities and Pitfalls with Musical Corpora
Hands-off my health records: why sharing your health data matters
Cryptocurrencies and ICO : Trends and Opportunities
Big Data and personalised medicine
Manufacturing Analytics: Preliminary lessons and the way forward
Inaugural meeting for a Consortium for AI in Medicine at Cambridge
High Dimensional Big Data Engineering
Sensors and Data in Robotics
Environmental Science in the Big Data Era
An introduction to the Turing-HSBC partnership in Economic Data Science
Dodgy Data in the news: How to spot it and how to stop it
Big Data Analytics Service Forum
Big Data in Medicine: Tools, Transformation and Translation
Cambridge Networks Day 2017
The Future of Big Data Patent Analytics
National Physical Laboratory UK Workshop on Data Metrology & Standards
Digital Echoes: Understanding Patterns of Mass Violence with Data and Statistics
Scalable Data Processing for Big Data from Laptop, Multi-core, to Cluster Computing
Ethics of Big Data Workshop
Cantab Capital Institute for the Mathematics of Information - Launch Event
University of Cambridge Mathematics and Big Data Showcase
The Alan Turing Institute – Energy Summit
Our Digital Future - Multidisciplinary Perspectives on Long Term Data…
Big Data, Multimodality & Dynamic Models in Biomedical Imaging
EPSRC Centre for Mathematical and Statistical Analysis of Multimodal…
Ethics of Big Data in practice: Social media research
Ethics of Big Data in practice: Administrative data
Ethics of Big Data in practice: Patient record linkage in hospitals
Ethics of Big Data in practice: Health and Policy research in Africa
Workshop on Urban Data Science #wuds15
Neurocomputation: from brains to machines
Big Data for Small and Medium Enterprises - an Alan Turing Institute Summit
Inside Snowden’s suitcase
Regulation of medical research under European Data Protection: in theory and practice…
What is Big Data? Discovery through a Data Walkshop
Green Computing - Materials, Architectures and Applications
Big Data Methods for Social Science and Policy - Interdisciplinary Workshop Programme…
Data In Drug Discovery - Time To Get Honest!

Talks

Upcoming related talks from talks@cam

Date Title Speaker Abstract
Statistics Clinic Summer 2026 II

This free event is open only to members of the University of Cambridge (and affiliated institutes). Please be aware that we are unable to offer consultations outside clinic hours.


If you would like to participate, please sign up as we will not be able to offer a consultation otherwise. Please sign up through the following link: https://forms.gle/YxfR9eZFd2oD7C886. Sign-up is possible from July 30 midday (12pm) until August 3 midday or until we reach full capacity, whichever is earlier. If you successfully signed up, we will confirm your appointment by August 5 midday.
Package Managers à la Carte: A Formal Model of Dependency Resolution Ryan Gibb, University of Cambridge

Abstract:
Statistics Clinic Summer 2026 III

This free event is open only to members of the University of Cambridge (and affiliated institutes). Please be aware that we are unable to offer consultations outside clinic hours.


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BSU Seminar: "Using variability in longitudinally-measured variables as a predictor of health outcomes" Professor Michael Elliott, University of Michigan School of Public Health

Longitudinal data has become a major part of the landscape for clinical and epidemiological research. While variance is typically understood as nuisance – the “noise” in “signal-to-noise” – there is increasing evidence that underlying variability in subject-level measures over time may also be important in predicting future health outcomes of interest.
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Jane Street: Title to be confirmed Speaker to be confirmed

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