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16 Posts By James Goulding

  • dengue_data

    Newton Fund Project in the UK popular press

    The lab’s Newton Grant examining how big data analytics can contribute to understanding and prediction of Dengue Fever in Malaysia has gotten a mention in the UK popular press.

    The article is part of a special on “developing vaccines” featured in the Star, and authored by Prof. Graham Kendall. More information and can be found here and the original article is avabile via Prof. Kendall’s website.

  • dengue_workshop_attendees_2

    Big Data / Dengue Fever – Newton Funds Workshop

    As part of our British Council Newton Fund award, we were extremely pleased to welcome a host of researchers from both the UK and Malaysia to our Big Data and Dengue Fever Workshop, held at the University of Nottingham. In partnership with University Malaya, this 3-day event featured a range of talks, demonstrations and brainstorming sessions about how dengue fever research can be impacted positively by Big Data techniques. Full details of the event below…

  • New team member for Dengue Fever research

    me_3 We are pleased to welcome the latest addition to the research team in the form of Abdullahi Shuaibu Adamu.

    Abdullahi is specializing in connectionist learning algorithms will be working on how both public and private sector data can help modelling and prediction of dengue outbreaks in Malaysia. This project has been established in partnership with University Malaya and UNMC, thanks to the award of a Newton Funds grant (British Council).

  • Presentation to the Red Cross, Washington USA

    Today we visited the Red Cross, Washington, to discuss the huge potential for early warning systems of Disaster Management, based not on post-event reporting, but on identifying behavioural pattern changes before the event occurs? An particularly promising example is the detection of impending Urban Flooding in developing nations through observation of changes in mobile money patterns uncovered by machine learning models.

    We’d like to extend our thanks to Aynur Kadihasanoglu for inviting us to speak. We aim in the next steps of this work to pilot a system in Dar es Salaam (see below an example of a physical flood model is visualized on the PARM system).

  • Parm_Tanzania

    Policy Presentation: World Bank and local council, Dar Es Salaam, Tanzania.

    dar_councilToday, we were honoured to be able to present work being done on Neodemographics project to the Administrative Council of Dar es Salaam in Tanzania. In particular we demonstrated the huge potential to aid policy making and urban planning that analysis of digital footprint data can provide. Many thanks to Andre Bald of the World Bank for providing this opportunity.

    Many parts of East Africa are infrastructurally poor – and lack fundamental national statistics (due to the prohibitive cost of mass censuses and surveys). However, countries such as Tanzania are surprisingly data rich (80% of mobile phone usage occurs in developing countires). This opens up huge potential to bridge the “informational gap” by applying data scientists to datsets held by industry, in a privacy preserving fashion. Please see our urban prediction project for more details.

  • workshop1b.png

    Neodem “Data Science” Workshop – Academia meets Industry

    Today, we welcomed Neodemographics’ industrial partners for a one day Data Science workshop. The day brought together researchers from diverse academic domains, such as statistics, psychology and computer science with business analysts for a range of talks and exploration of how novel Big Data academic research can impact on the UK digital economy.

    Thanks to all for a highly successful and enjoyable day, especially Sarah Taylor of Walgreens Boots Alliance for helping to organize the event. Images and agenda after the link…

  • Duncan_winning

    Brain-Computer Interface (BCI) Challenge Win for Duncan

    Today Dr Duncan Barrack gave his winning talk at the IEEE Neural Engineering Conference (NER2015) in Montpelier, France, after taking the first prize for the Kaggle competitition: “Brain-Computer Interface (BCI) Challenge”. The challenge used EEG data captured from study participants who were trying to “spell” a word using visual stimuli. As humans think, we produce brain waves that can be mapped to actual intentions. In the competition, competitors were given the brain wave data of people with the goal of spelling a word by only paying attention to visual stimuli.

    Duncan, a Mathematics Fellow on the Neo-demographics project at Horizon, won using a linear combination of two SVMs with linear kernels and different feature sets, and his interview at the event can be found here: Winner’s interview/

    The winning code can be found here: github code

  • volcrowe

    Presentation, VOLCROWE (NEMinDE Workshop, Oxford)

    Prof. Andrew Smith and Dr James Goulding today presented the project’s ongoing work at the VOLCROWE workshop/ in Oxford, part of the NEMODE network.

    The workshop focus was on Volunteering and Altruism in the Digital Economy, so the team presented work on Community Mapping and the altruistic use of private sector data to help address mobility and planning issues in the developing world. Presentation slides can be found here

  • Boots

    Industrial Presentation: Boots Lunch & Learn

    Today, the EPSRC Neodemographics project was pleased to present the progress of its human behavioural research to over 150 employees at Boots PLC. James Goulding led a session as part of the Lunch & Learn seminar series (which involved a free meal deal sandwich pack!). Many thanks to Boots PLC for their warm welcome, and the support that they have shown for the project overall – and thanks to Sarah Taylor for organizing this session. Presentation slides are available here.

  • PARM

    Projected Augmented Reality Models

    The Projection Augmented Reality Model (PARM) system is an award winning new display system, being developed on the EPSRC Neodemographics Project as a collaboration between Horizon Digital Economy Research and Gary Priestnall at the University of Nottingham’s school of Geography.

    PARM situates Big Data Analysis into a physical,  3- dimensional environment, providing a completely new form of data visualization. Using digital projection onto physical models in combination with a multi-screen display ecology, it combines the affordances of interactive mapping and physical landscape modelling to promote more effective engagement with data (both live data as well as personal data). Our first installations indicate that it provides an extremely  compelling experience for users. Central to the display is a physically milled model generated from LIDAR & RADAR data (which can be at a range of scales) mounted flat on a plinth around 80cm high, with a data projector mounted above