DSI Seminar Series 2017

Human Ethomics and its clinical applications

Presented by Dr Aldo Faisal

Friday 28th APril 2017


DSI Boardroom, South Kensington Campus

Event Registration

Our research questions are centred on a basic characteristic of biological systems: noise and structured variability in behaviour and its meaning. Variability can be observed across many levels of biological behaviour: from the movements of our limbs, the responses of neurons in our brain, to the interaction of biomolecules. Such variability is emerging as a key ingredient in understanding biological principles (Faisal, Selen & Wolpert, 2008, Nature Rev Neurosci) and yet lacks adequate quantitative and computational methods for description and analysis. Crucially, we find that biological and behavioural variability contains important information that our brain and our technology can make us of (instead of just averaging it away): The brain knows about variability and uncertainty and it is linked to its own computations. Therefore, we use and develop statistical machine learning techniques, to predict behaviour and analyse data. Using advanced body sensor networks, we measured eye-movements, full-body and hand kinematics of 40+ humans living in a studio flat and are going to present some insightful results on motor control and visual attention that suggest that the control of behaviour "in-the-wild" is predictably different ways than what we measured "in-the-lab" . We are then demonstrate Machine Learning algorithms for large scale data sets that allow us to process and develop novel diagnostic technologies




Privacy in Statistical Analysis

3rd May 2017, 9:30-17:45

VENUE: LT 140 Huxley (maths Building)

This full day workshop, organised jointly between the Emerging Applications Section of the Royal Statistical Society and the Statistics section, Imperial College London, will cover the following areas.

  • Differential privacy for preserving data privacy in the outputs of analysis
  • Issues around anonymity and anonymisation of raw data
  • Cryptographic security using recent encryption schemes with homomorphic properties
  • Building statistical models encrypted

We welcome attendees from academia, industry and governmental organisations.

Register here. 

London Behaviour Analytics Meeting

Behaviour Analytics Lab - Data Science Institute

Venue: GDO Meeting Room 

Scientists interested in behaviour are increasingly adopting automated imaging and quantitative analysis into their work. Regardless of the species, this entails solving related technical problems from hardware, to computer vision, and data visualisation as well as conceptual problems such as how to identify representations and features that capture the essence of behaviour without over simplifying. There are many groups in London working on behaviour across the full range of model organisms and humans but there is not currently a good way of brining them together. An informal workshop-style meeting at the DSI would be an excellent opportunity to share expertise, make new connections and, start collaborations.



EuSpRiG 2017 (European Spreadsheet Risk Interest Group Conference- in association with the Data Science Institute)

Thurs July 6 2017Prof Mike Ward

Blackett Laboratory 
Prince Consort Road, Building 6
Imperial College London

EuSpRIG runs this well established annual conference to provide somewhere for researchers, practioners, vendors, consultants, auditors, etc, to network and share experiences in the field of spreadsheet risks research with international leaders. EuSpRIG  offers authoritative & comprehensive web based information describing the current state of the art in Spreadsheet Risk Management. Read more about the confence and EuSpRIG here. 


Advances in Data Science 2017 

 Monday May, 15 2017 to Tuesday May, 16 2017

Advances in Data Science will take place in Manchester, UK.

A two-day meeting to present recent developments in data science, with a focus on advanced analytics (machine learning, Bayesian statistics, scalable algorithms), privacy, visualisation, software and diverse applications. Speakers include leading data scientists from industry and academia (see programme).

Registration will open soon and there will be an opportunity to submit abstracts for consideration as short talk or poster presentations at the meeting.

Sponsored by University of Manchester Data Science Institute.


Data Science for Cyber-Security:

 25-27th September 2017

Imperial College will be holding this conference on the use of data science for cyber-security applications. These applications include deployment of statistical methodology, machine learning, and Big Data analytics for network modelling, anomaly detection, forensics, risk management, and more. Organised by Niall Adams and Nick Heard from Imperial and sponsored by the DSI, this conference aims to showcase cutting-edge research in statistical cyber-security in academia, business and government. Read more and register here.

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