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Events and Talks

 

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

Events

The Alan Turing Institute Research programmes showcase: Urban analytics External
The Alan Turing Institute Research programmes showcase: Artificial intelligence External
IRIS Machine Learning Workshop External
The Alan Turing Institute Research programmes showcase: Defence and security External
Modelling Solutions to the Impact of COVID-19 on Cardiovascular Waiting… Uni of Cambridge
Healthcare Research Showcase - Department of Computer Science and Technology Uni of Cambridge
The Alan Turing Institute Research programmes showcase: Finance and economics External
Cambridge Centre for AI in Medicine (CCAIM) Inaugural Event Uni of Cambridge
The Alan Turing Institute Research programmes showcase: Data-centric engineering External
The Alan Turing Institute Research programmes showcase: Tools, practices and systems External
The Alan Turing Institute Research programmes showcase: Heath and medical sciences External
The Alan Turing Institute Research programmes showcase: Data science for science External
Data-Driven Management & Digital Consulting Masterclass C2D3 event
AI and data science in the age of COVID-19 External
Driving BAME representation in STEMM Uni of Cambridge
BAME women in STEMM: Building Wikipedia legacies Uni of Cambridge
BT-Pembroke Lecture 2020: Black swan or new normal? The changing face of… Uni of Cambridge
AstraZeneca and University of Cambridge Virtual Symposium Uni of Cambridge
How Could a Robot be Racist? Evaluating Bias in Artificial Intelligence Uni of Cambridge
Science, evidence, and government; reflections on the covid-19 experience Uni of Cambridge
C2D3 Virtual Symposium 2020 C2D3 event
Scientists and medics working on COVID: Introduction to the News Media External
ATI - AI UK | Smart cities External
Data for Policy 2020: 5th International Conference External
Aviva & University of Cambridge Partnership Showcase Uni of Cambridge
1st UK Academic Roundtable on Process Mining C2D3 event
Inspiration Exchange - with Mihaela van der Schaar Uni of Cambridge
Turing Lecture: AI for innovative social work External
Turing Lecture: Is education AI-ready? External
Celonis-C2D3 webinar: Telling the Story behind the Data - Data-Driven Discovery for… C2D3 event
EnterpriseWOMEN Summit AI² - AI applications and implications for healthcare Uni of Cambridge
C2D3 Research Symposium C2D3 event
Turing Presents: AI UK External
Computation Day "Optimise, Open and Learn" Uni of Cambridge
Neurocomputation & AI in Neuroscience Uni of Cambridge
Aviva Hackathon (CUDSS Aviva Data Science Challenge) Uni of Cambridge
C2D3 Hierarchical Modelling Workshop C2D3 event
Cambridge University Data Science Society: Delivering personalised… Uni of Cambridge
Data Science Careers Fair Uni of Cambridge
Reliability and reproducibility in computational science External
SynTech CDT networking event, Department of Chemistry Uni of Cambridge
Computational archival science (CAS) symposium: Towards a transatlantic programme External
How can your research influence policy? Uni of Cambridge
Data Profiling Workshop External
Turing Data Study Group External
FinHealthTech: New opportunities at the intersection of health and wealth. External
Fetch.ai Cambridge Winter Warmer External
CCIMI Colloquium: Mark Girolami - The Statistical Finite Element Method Uni of Cambridge
What is the Future of Digitally Enabled Service Business? Uni of Cambridge
Ensembl Rest API Workshop External

Talks

Upcoming related talks from talks@cam

Date Title Speaker Abstract
Model-Based Methods in Today’s Data-Driven Robotics Landscape Seth Hutchinson, Northeastern University

Data-driven machine learning methods are making advances in many long-standing problems in robotics, including grasping, legged locomotion, perception, and more. There are, however, robotics applications for which data-driven methods are less effective. Data acquisition can be expensive, time consuming, or dangerous -- to the surrounding workspace, humans in the workspace, or the robot itself.
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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