Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Engage: Interactive Machine Learning Accelerating Progress In Science, An Emerging Theme Of ICT Research
Our vision is to provide scientists and non-ICT specialists with unprecedented access to cutting-edge Machine Learning algorithms, transforming science across a range of data-intensive disciplines. By establishing and leading a new theme in ICT research based on Interactive Machine Learning, we are working towards a human-computer interface though which scientists can directly interact with large-scale data and computing resources in an intuitive visual environment. ENGAGE is supported by an EPSRC grant (ref: EP/K015664/1) as part of the Working Together Programme, and benefits from a number of partnerships.
2 Researchers
 More search options
Status: Active
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by