Tableau and R

The latest release of Tableau (8.1) has R integration.  Tableau is free for academic use. Take a look at  It could be a nice combination of the intuitive visual analytics of Tableau and the scripting capability of R.

Human Data Interaction – future and impact

Take a look at   The way we use and interact with our own personal data is going to change?  On our Digital Personhood project here at Brunel we are uncovering new ways of packaging and trading personal data.  We are particularly interested in the architectures required to analyse, store, transact and deliver personal data – utilising a vault and trading platform – that empower the prosumer.

We need to think about new ways to design these applications (Human Data Interaction Design HDID), with new perspectives on the actors, place and data.  Flexing some of these perspective to allow transitions (movement in space, time, role) provides some underpinning to Mobile Human Data Interaction (mHDI).

Interactive Social Experience Engine (iSEE) for History and Heritage – A Dorset Prehistoric Feasibility Study

Myself and a multi-disciplinary team from Brunel University and Dorchester Museum have received £66K of funding from the TSB to explore innovative methods of software development that combine mobile device sensing and experience programming.  The feasibility study aims to create new platforms for experience design & development, localised business models and smartphone apps.

FYP Project 2013/14

Health Innovation Projects (HIP@DISC) – Connections everywhere with a Web of devices and heterogeneous “Big Data” stores (Ambitious Individual Projects addressing a common theme, meeting as a group)

Smart cities ( allow citizens to more actively engage with their surroundings with smart phones, social media and sensing devices. The network of interconnected devices has been termed The Internet of Things (IOT). This project aims to explore the augmentation of such cities by combining sensor technologies from a number of devices – Merck Serono medical devices, RFID/NFC/QR tags, Microsoft Kinect and Smart Phones – and social media. A smart health scenario is chosen, within a smart city, where the citizen can monitor their own health whilst generating data trails that record their lifestyle. Such smart health scenario is premised on software and services that are able to collect, store and analyse data in a natural and pervasive manner (embedded into everyday life).
HIP@DISC will provide a number of innovative FYPs that address connection to specific devices, visualisation of data, cloud big-data storage and intelligent data analysis.
Although each project is individual (and assessed as such), the projects offers a real chance to interconnect and experiment on a wider environment with both technology and usability opportunities. The group will also work together on literature gathering and analysis. The supervision will be carried out by Prof. Barnett, Dr. Bell and Prof. Young; and include meetings with Merck Serono providing industry context and perspective. You are likely to have meetings with academics over the course of the year in order to fully support different activities and parts of the project.
Some possible project ideas:
• Medical device data acquisition using smartphones (3 separate projects).
• Smart phone development using GPS tracking to collect mobility information and interact with health service providers on the move (seeking services in a Smart City).
• Smartphone capture of wellbeing and happiness (including direct entry and sensor based inference).
• RFID, NFC or QR codes to label physical proximity to either track their movement or use of specific objects (devices or medicines).
• Diet and medical tracking with self-management on a smartphone.
• Kinect sensor (NUI) allowing user tracking in their physical environment at home (with interaction with virtual health professionals)
• Big Data storage in the Cloud – storing data for other projects in the cloud
• Data visualisation of cloud based Big Data (using Smart Phones, PCs or Ambient screens)
• Data visualisation of real time data of the Web of Devices (using Smart Phones, PCs or Ambient screens)
• Intelligent data analysis of Big Data (using clustering or other algorithms).
• Intelligent data analysis of Social Media Data (using clustering or other algorithms).
• Pharma data analysis (and Reporting) of drug performance
• Smart Phone recommender systems for Smart Health
• Co-design of the smart health mobile services (promoting interaction between citizen and health provider)

EPSRC Research Grant – Digital Personhood Futures Trading

Professor Panos Louveiris and I (collaborating with Dr Audrey Guinchard from the University of Essex ) have received £850K of funding from the EPSRC to investigate how novel trading platforms are able to facilitate the use of personal data.  The project is titled Digital Personhood: Digital Prosumer — Establishing a ‘Futures Market’ for Digital Personhood Data and will involve the design and implementation of the legal, technical and business underpinnings for such ventures.

Student Summer Jobs

I will be looking for a couple of programmers over the summer – June and July – to work on mobile and Web applications.  I am looking for developers with experience of Android, HTML5, PHP – see Brunel’s job shop in a few days time for the advertisement. These projects could lead on to FYP projects (if you are in DISC L2).