dot.rural at DE2013Monday 4th November 15:15 – 16:30 Session 1B Transport & Rural Digital: Hexagon Room, The Lowry• Relaxing eligibility criteria in rural transport services, Emele et al.• SMiLE: Smart Micro-logistics for the Rural Economy, Chen et al.17:00 – 19:00 Technology Demonstrators: Q5, Quay House, BBC• Resource Management with Wireless Sensor Networks and Satellite in

Extreme Climates• A passenger-centric decision support system for rural transport services• Tag2Blog – Unlocking Location Data of Satellite Tagged Species for Public

Engagement

Tuesday 5th November13:45 – 14:45 Session 2C Enterprise: Conference Suite (3.10+3.11), University of Salford• Proactive agent and semantic support for rural enterprise, Emele et al.

Wednesday 6th November09:00 – 10:15 Session 3A Cities & Digital Communities: Digital Performance Lab (0.11), University of Salford• CURIOS: Connecting Community Heritage through Linked Data, Beel et al.

Posters• A ‘Community Resilience’ framework for evaluating complexity in digital

access and engagement, Roberts et al.• Would you like faster broadband? Ninan et al.

Exploring the contribution digital technologies can make to enhancing key services; generating business

opportunities; boosting quality of life; promoting the economic, social and environmental sustainability of rural

areas across the UK and beyond.

£12M, 5 year funding from Research Councils UK 2009-2014

88 researchers from

11 disciplines

working to transform rural areas through user-led application of digital technology

92 UK partners

15 international partners

from industry, government, civil societyand academia

Rural areas have specific characteristics that create challenges

around issues such as quality of life and wealth creation.

Intelligent information

infrastructures

Internet engineering

NLG &affective

communication

Reasoning, coordination & collaboration

Accessibility & Mobilities

Enterprise & Culture

Natural Resource

Conservation

Healthcare

Intelligent information

infrastructures

Internet engineering

NLG &affective

communication

Reasoning, coordination & collaboration

Accessibility & Mobilities

Enterprise & Culture

Natural Resource

Conservation

Healthcare

Activities are organised through four technology and four societal challenge areas

applying multidisciplinary expertise to the provision of

infrastructures that meet the socio-economic challenges of

rural UK.

In the FITS project intelligent agents and argumentation mechanisms are being used to

support decision making for management of flexible passenger transport in rural areas.

The Informed Rural Passenger project is exploring how linked open data can be combined with various trust mechanisms (including reasoning about quality) to

realise a flexible infrastructure to support rural passenger information.

The SMILE project project’s goal is to help rural businesses take advantage of opportunities that

would arise from the use of digital technologies in order to make their distribution operations more

robust and consequently strengthen their position in the market.

The ASSURE project is using semantic matchmaking and agent technologies to extend an existing social

networking system to help rural businesses discover potential new business opportunities and partners.

The CURIOS project is investigating the use of linked data technologies to build an open software

platformfor local history societies.

The SIRA project is working to improve the quality of satellite internet whilst exploring the

impact of satellite broadband on creative industries in rural Scotland.

The MinkApp project is using affective Natural Language Generation

(NLG)techniques to support volunteer

retention.

Beewatch is using Natural Language Generation (NLG) techniques to provide useful feedback to help users improve  their bee identification skills and promote

volunteer participation.

In “Eyes to the Skies” Natural Language Generation (NLG) techniques, open data and domain specific

rules are being used to automatically generate blogs for

satellite tagged red kites.

WiSE

WiSE

The WiSE project is developing a digital sensing platform for use in remote and highly constrained

environments where power and communications are limited.

wikiRivers text content is being tailored to users’ interests using Natural Language Generation and

domain knowledge.

The MIME project combines use of novel medical sensors with intelligent software in order to deliver ‘need

to know’ clinical information simply and reliably whilst automatically generating a handover report using Natural Language

Generation techniques.

The TRUMP project is exploring the potential for mobile technologies in the development of a

trusted platform to support chronic disease management by simultaneously considering the

needs of rural areas of India and the UK.

The ASICA seeks to improve the experience of aftercare for those diagnosed with melanoma,

especially those living in remote and rural communities.

dot.rural at DE2013Monday 4th November 15:15 – 16:30 Session 1B Transport & Rural Digital: Hexagon Room, The Lowry• Relaxing eligibility criteria in rural transport services, Emele et al.• SMiLE: Smart Micro-logistics for the Rural Economy, Chen et al.17:00 – 19:00 Technology Demonstrators: Q5, Quay House, BBC• Resource Management with Wireless Sensor Networks and Satellite in

Extreme Climates• A passenger-centric decision support system for rural transport services• Tag2Blog – Unlocking Location Data of Satellite Tagged Species for Public

Engagement

Tuesday 5th November13:45 – 14:45 Session 2C Enterprise: Conference Suite (3.10+3.11), University of Salford• Proactive agent and semantic support for rural enterprise, Emele et al.

Wednesday 6th November09:00 – 10:15 Session 3A Cities & Digital Communities: Digital Performance Lab (0.11), University of Salford• CURIOS: Connecting Community Heritage through Linked Data, Beel et al.

Posters• A ‘Community Resilience’ framework for evaluating complexity in digital

access and engagement, Roberts et al.• Would you like faster broadband? Ninan et al.