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Details of Grant 

EPSRC Reference: EP/N014162/1
Title: Deep Probabilistic Models for Making Sense of Unstructured Data
Principal Investigator: Álvarez López, Dr M A
Other Investigators:
Croucher, Dr M Ghahramani, Professor Z
Researcher Co-Investigators:
Project Partners:
Amazon citizenme Ltd Doughty Street Chambers
Facebook (International) Makerere University
Department: Neurosciences
Organisation: University of Sheffield
Scheme: Standard Research
Starts: 01 April 2016 Ends: 30 September 2019 Value (£): 974,162
EPSRC Research Topic Classifications:
Artificial Intelligence Information & Knowledge Mgmt
EPSRC Industrial Sector Classifications:
Information Technologies
Related Grants:
Panel History:
Panel DatePanel NameOutcome
03 Sep 2015 Making Sense From Data Panel - Full Proposals Announced
Summary on Grant Application Form
The future information infrastructure will be characterized by massive streaming sets of distributed data-sources. These data will challenge classical statistical and machine learning methodologies both from a computational and a theoretical perspective. This proposal investigates a flexible class of models for learning and inference in the context of these challenges. We will develop learning infrastructures that are powerful, flexible and 'privacy

aware' with a user-centric focus. These learning infrastructures will be developed in the context of particular application challenges, including mental health, the developing world and personal information management. These applications are inspired by collaborations with citizenme, the NewMind Network for Mental Health Technology Research and Makerere University in Kampala, Uganda.
Key Findings
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Potential use in non-academic contexts
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Impacts
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Summary
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Further Information:  
Organisation Website: http://www.shef.ac.uk