The Digital Innovation Fund aims to drive the development, adoption, and implementation of digital delivery models in public services in Wales. It seeks to develop exemplar digital methods and share best practices to allow other public bodies to develop similar lower-cost models. The fund supported "accelerator projects" including a project by Melin Homes to provide tablets and digital support to residents. An evaluation found that while digital engagement increased, phone calls did not decrease, showing that digital cannot replace all services and requires non-digital support. A joint project between government and emergency services used geospatial mapping of grassland fire data to improve prevention and response. An iterative development process helped clarify trends, strategies, and how to publicly present sensitive

2. DIGITAL INNOVATION FUND
The aims of the Digital Innovation Fund:
1. Drive the development, adoption and implementation of digital delivery models.
2. Develop and create exemplar digital public service delivery methods.
3. Publicise and share best practice of successful delivery models to allow other
public sector bodies in Wales to develop a similar model at lower cost.

3. HOW THE FUND WORKED

4. ACCELERATOR PROJECTS

5. DIGITAL TENANCIES IN MELIN HOMES
Louise Kingdon and Dave Evans

6. Theproblem
Digitallyexcludedresidents
UniversalCreditonthehorizon
Potentialtosavemoneythroughchannelshift

7. Phase1
50tabletsgivento50residents
Sixmonthstotrialouronlineservices
Tabletsstraightoutofthebox
Visitsatthestartandendoftrial(butreallyweleftthemtoit)

8. DigitalInclusionactivityincreased…
Buttherewasnodifferencetoournumberofphonecalls

9. 200tabletsgiventonewresidents
Tabletsaregivenatthetwoweeksettling-invisits,whereresidentswillbeintroducedtoouronline
services
Tabletscustomized
InvestedmoreinDIsupport
Phase2

10. Sowhatwelearntwasthatpeople
willdowhateveriseasierforthem

11. Andsecondly..
Digitalcannothappeninavacuum

12. Where are we now
Onlineserviceshavebeenredesigned
Onlineresidenthandbookhasbeendeveloped
ResidentsPanelconsulted
Stafftrainedandengaged
Tabletscustomizedandreadytogo

13. GEOSPATIAL MAPPING TO HELP PREVENT GRASSLAND
FIRES
Mason Davies - Welsh Government

14. Corporate slide master
With guidelines for corporate presentations
Fire data visualization tool
Mason.davis@wales.gsi.gov.uk
Adam.Al-Nuaimi@wales.gsi.gov.uk
Welsh Government & Welsh Fire Service

15. Presenting the problem
Joint project between WG, SWFRS, SWP…
Focus – improving the intelligence in tackling and preventing deliberate (grass)
fires
-Use of resource
-Immediate endangerment of life
-Damage to property (rebuild)
-Environmental pollution (smoke, debris)
-Addresses multiple areas of policy
Mapping and statistical analysis of grassfires
-Tool to help decision making at multiple levels
-Challenge/verify the current beliefs/thinking

16. The scope
(i)Desk based analysis what data may be of relevance, how
to process it, prepare for visualisation.
(ii)Development of visualisation components consistent with
appropriate branding/standards.
(iii)Impact assessments on the release of this data and
relevant assurance policies.
(iv)Transition of ownership (training, documentation,
manuals)

17. Approach:
-We expected things to change.
-Started with an alpha release (showing some startling findings)
-Agile/iterative releases
-Requirements built around stakeholder feedback
NB: Stakeholders don’t always tell you what they need, but they will tell you
when you have gone wrong.
Amended our original plan because…
-Investigations showed that the marketplace has existing solution(s) already
present.
-Our procurement plans went from purchase of product to purchase of service,
training and upskilling (internally within each of our organisations).

18. Where are we now:
Clarified the two use cases:
-For prevention: open data sources – land cover, weather data, areas of
deprivation, locations of interest, social
-For response: additional private viewpoint – criminal activities and “live” incident
data
Built on a suitable data service platform (capable of handling sensitive data):
-Configured routines to combine data from a variety of sources
-Configured the visuals
Delivered the Alpha+ release and proved the technical solution
-Data/assurance sign-off happening next

19. Answered some of our original learning objectives:
(i)Data to be contrasted/combined to the locations of fires to help clarify
trends and inform strategies:
-Clarifying social factors (e.g. WIMD), time factors (e.g. Easter/school time),
Physical (e.g. weather, grassland)
(iii) How to present this data publically and maintain sensitivity?
-Aggregation, obfuscation, conflation, security
(iii) Stimulated ideas for efficient data sharing?
-Ideas for access control and authentication standards
(iv) Who else might be interested?
-Informing other digital work-streams and related work.

20. Corporate slide master
With guidelines for corporate presentationsFire data visualization tool
Mason.davis@wales.gsi.gov.uk
Adam.Al-Nuaimi@wales.gsi.gov.uk
Thank-you

21. SENSOR TECHNOLOGY FOR FLOOD PREVENTION

22. FLASH FLOODING
Cardiff has areas which are prone to flash flooding
Gives us very little response time
Current infrastructure can be overwhelmed by sudden weather events
Need a solution to:
Provide real time data about culverts and other water infrastructure
Provide data about localised rainfall

23. Install 3 sensors across the city at £6k
Or
Install a LoRa Wan Network at £5k (Low
Powered Wide Area Network)
Cover the city with 3 stations
SOLUTION

24. TECHNOLOGY ENABLED LEARNING IN NEATH PORT
TALBOT COLLEGE
Colin Bevan- NPTC Group

25. CAPACITY TO DEVELOP, BUILD AND DEPLOY
BLENDED LEARNING
Management support
Teaching staff support
Resources and training
Physical resources

26. CHANGE THE DELIVERY OF LEARNING…..
ACROSS THE ORGANISATION

28. Colin Bevan- NPTC Group

29. Colin Bevan- NPTC Group

30. MATERIALS ACCESSED VIA MOODLE
60 MINUTES PER WEEK
INTEGRATED INTO WORK PROGRAMME
WEEKLY REPORT SENT TO TUTOR
Timetabled - Supervised Any time any place - Any device
Colin Bevan- NPTC Group

31. LEVEL 3 IT
LEVEL 3 MEDIA PRODUCTION
LEVEL 3 PROFESSIONAL COOKERY
LEVEL 3 AGRICULTURE
LEVEL 3 BUSINESS
AS PSYCHOLOGY
AS BIOLOGY
AS ICT
AS ELECTRONICS
AS ECONOMICS

32. MORE ON BLENDED LEARNING…..
colin.bevan@nptcgroup.ac.uk

33. COLLABORATIVE ARTS AND CULTURE DATA SHARING
Dafydd James - National Museums Wales

34. COLLABORATIVE ARTS AND CULTURE
DATA SHARING
Dafydd James
Amgueddfa Cymru - National Museum Wales

35. “Improving the reach of arts and culture
in Wales.
Our Challenge

36. WHAT DOES THIS MEAN?
➤ To use our existing datasets to
identify audience synergies
➤ Create a cross-organisational
campaigns
➤ Work with a technology partner
➤ Share approaches and
experiences

37. DEMOGRAPHICS
➤ C Country Living 17.1%
➤ D Rural Reality 11.4%
➤ G Domestic Success 10.6%
➤ B Prestige Position 12.2%
➤ G Domestic Success 11.1%
➤ C Country Living 10.1%

38. 131
OUT OF > 10K RECORDS

39. THE COMMON GROUND

40. OUT OF 15K RECORDS
26

41. NEXT STEPS…
➤ Run a campaign
➤ Measure impact
➤ Learn more about segmentation
➤ Run more campaigns
➤ Consult on each other’s projects
➤ Continue partnership at an
operational level

42. “The process has been more informative
than the product.

43. Professor Tom Crick (Cardiff Metropolitan University) -
Professor of Computer Science & Public Policy and Deputy
Director of Enterprise.
@ProfTomCrick
ENABLING [DIGITAL] PUBLIC SERVICES INNOVATION