How AI is transforming local government

Robot

By Steven McGinty

Last year, Scottish Local Government Chief Digital Officer Martyn Wallace spoke to the CIO UK podcast and highlighted that in 2019 local government must take advantage of artificial intelligence (AI) to deliver better outcomes for citizens. He explained:

“I think in the public sector we have to see AI as a way to deliver better outcomes and what I mean by that is giving the bots the grunt work – as one coworker called it, ‘shuffling spreadsheets’ – and then we can release staff to do the more complex, human-touch things.”

To date, very few councils have felt brave enough to invest in AI. However, the mood is slowly starting to change and there are several examples in the UK and abroad that show artificial intelligence is not just a buzzword, but a genuine enabler of change.

In December, Local Government Minister Rishi Sunak announced the first round of winners from a £7.5million digital innovation fund. The 16 winning projects, from 57 councils working in collaborative teams, were awarded grants of up to £100,000 to explore the use of a variety of digital technologies, from Amazon Alexa style virtual assistants to support people living in care, to the use of data analytics to improve education plans for children with special needs.

These projects are still in their infancy, but there are councils who are further along with artificial intelligence, and have already learned lessons and had measurable successes. For instance, Milton Keynes Council have developed a virtual assistant (or chatbot) to help respond to planning-related queries. Although still at the ‘beta’ stage, trials have shown that the virtual assistant is better able to validate major applications, as these are often based on industry standards, rather than household applications, which tend to be more wide-ranging.

Chief planner, Brett Leahy, suggests that introducing AI will help planners focus more on substantive planning issues, such as community engagement, and let AI “take care of the constant flow of queries and questions”.

In Hackney, the local council has been using AI to identify families that might benefit from additional support. The ‘Early Help Predictive System’ analyses data related to (among others) debt, domestic violence, anti-social behaviour, and school attendance, to build a profile of need for families. By taking this approach, the council believes they can intervene early and prevent the need for high cost support services. Steve Liddicott, head of service for children and young people at Hackney council, reports that the new system is identifying 10 or 20 families a month that might be of future concern. As a result, early intervention measures have already been introduced.

In the US, the University of Chicago’s initiative ‘Data Science for Social Good’ has been using machine learning (a form of AI) to help a variety of social-purpose organisations. This has included helping the City of Rotterdam to understand their rooftop usage – a key step in their goal to address challenges with water storage, green spaces and energy generation. In addition, they’ve also helped the City of Memphis to map properties in need of repair, enabling the city to create more effective economic development initiatives.

Yet, like most new technologies, there has been some resistance to AI. In December 2017, plans by Ofsted to use machine learning tools to identify poorly performing schools were heavily criticised by the National Association of Head Teachers. In their view, Ofsted should move away from a data-led approach to inspection and argued that it was important that the “whole process is transparent and that schools can understand and learn from any assessment.”

Further, hyperbole-filled media reports have led to a general unease that introducing AI could lead to a reduction in the workforce. For example, PwC’s 2018 ‘UK Economic Outlook’ suggests that 18% of public administration jobs could be lost over the next two decades. Although its likely many jobs will be automated, no one really knows how the job market will respond to greater AI, and whether the creation of new jobs will outnumber those lost.

Should local government investment in AI?

In the next few years, it’s important that local government not only considers the clear benefits of AI, but also addresses the public concerns. Many citizens will be in favour of seeing their taxes go further and improvements in local services – but not if this infringes on their privacy or reduces transparency. Pilot projects, therefore, which provide the opportunity to test the latest technologies, work through common concerns, and raise awareness among the public, are the best starting point for local councils looking to move forward with this potentially transformative technology.


Follow us on Twitter to discover which topics are interesting our research team.

Reimagining travel: how can data technologies create better journeys?

Light-streamed highways heading towards the city

By Steven McGinty

From steam trains to electric trains, bicycles to Segways, the transport sector is constantly innovating. Although much of the excitement revolves around high profile developments in self-driving vehicles and private space travel, there are many up-and-coming technologies that could make a great deal of difference to both transport professionals and the average traveller.

The driving force behind these innovations is data.  By gathering, analysing, processing and disseminating travel information, we can make better use of the transport infrastructure we have around us. Developing new technologies and business models that use transport data in innovative ways will be key to improving journeys and creating real benefits.

Managed Service Providers (MSPs)

Many companies – such as Masabi and Whim – currently offer ‘mobility-as-a-service’ apps that allow travellers to compare journeys on different modes of transport. Travel agents purchase tickets in bulk and monitor real time travel data from airports and other transport operators. And travellers can use ‘digital wallet’ services such as Google Wallet to store their tickets in their smartphones. However, these services can be complex to navigate, and don’t always offer travellers the option to update or change their tickets in real time. The MSP concept involves utilising the transport infrastructure that’s currently in place, but also providing travellers with the flexibility to change their planned journey if conditions change e.g. cancellation of a service.

There is also the potential for ‘insured travel’, where MSPs could guarantee that a traveller reaches their destination by a specific time. This, according to professional services firm KPMG, would be more complex, as it would require using big data analytics to estimate the risk of delay and pricing the journey accordingly. In Holland, travellers are already able to purchase insurance along with their railway ticket to Schiphol Airport. If a train is delayed – resulting in a traveller missing their flight – the rail operator will book them onto the next available flight.

Data and traffic management

The development of ‘connected cars’, which transmit real time location data, and greater coordination between smartphone and satnav providers, will mean that transport professionals will increasingly have access to a wide variety of travel information. As a result, a more ‘holistic approach’ can be taken to traffic management. For instance, public sector road managers could group drivers by certain routes, in order to avoid or worsen traffic congestion problems.

Cloud Amber is one of the most innovative companies working in this area. For example, their Icarus passenger information and fleet management solutions enable professionals to view real time locations of all vehicles within their fleet, integrate traffic congestion into predicting vehicle arrival times, and create reports replaying vehicle journeys.

Flexible resourcing at airport security

Gatwick Airport has been involved in trials which monitor data and gather intelligence on the traffic conditions which may affect passenger arrivals. KPMG have suggested that combining data on current travel conditions with historic data could lead to airports becoming better at predicting the demand at the arrival gates. Having this knowledge would support airports in providing appropriate staffing levels at arrival gates, which means fewer queues, and a better experience for travellers.

Public / private collaboration

Sir Nic Cary, head of digital transformation at the Department for Transport (DfT), has highlighted the need for the public sector to embrace new ways of working or ‘risk being led by Californian-based software companies.’

In his keynote speech at a recent infrastructure conference, he explained that the public sector needs to get more involved in digital transformation and to have a greater focus on user needs and working collaboratively.

As a good example of this, Cornwall Council recently engaged Idox’s digital agency Reading Room to look at how digital services could encourage existing car drivers to use public transport in a sustainable way. There was a particular interest in engaging with 18-25 year olds.

Cornwall is a county where over 78% of all journeys are taken by car – with only 1% of journeys taken by bus and 3% by train. Following Government Digital Services (GDS) guidelines, Reading Room embarked on a series of activities to understand how public transport is perceived by Cornish citizens.

The user research explored barriers discouraging them from using public transport; online/digital tools they may use already to plan journeys; and their experience of public transport. Reading Room also reviewed and made recommendations to the council around the brand proposition for public transport. The user insights are now being taken forward by the council.

Security implications

There is, however, a risk in integrating data technologies into transport systems. For instance, smart ticketing, traffic lights, signage, and automated bus stops, are just some of the technologies which present potential opportunities for malicious hackers, or those looking to commit acts of terrorism.

Last year, San Francisco transport systems suffered a cyber-attack, where hackers demanded the city’s transportation agency pay 100 Bitcoin (about $70,000). The incident had no impact on the transport system, but over 2,000 machines were hacked. As a precaution, the agency shut down the city’s ticketing machines, which led to customers being able to travel for free.

Final thoughts

Improving how people get from A to B is one of the key challenges for cities. If data technologies can play even a small role in creating better experiences for travellers – by providing more reliable and flexible journeys – then the transport sector and the public sector should look to invest and create partnerships which encourage innovation.


Follow us on Twitter to see what developments in public and social policy are interesting our research team. If you found this article interesting, you may also like to read our other smart city articles. 

Rise of the Datavores … showing no fear of data, it takes skills

Datavores infographicPrevious work by NESTA highlighted companies with apparently no fear of data. They called them ‘datavores’. When making decisions about how to grow their sales, they rely on data and analysis over experience and intuition.

Does being data active have an impact?

According to a new NESTA report published this week Skills of the datavores: talent and the data revolution, those organisations which are more ‘data-active’ perform better than those that are not, as the infographic above illustrates:

  • Datavores are 10% more productive
  • But, only 18% of companies are datavores
  • If all “dataphobes” became “datavores” it would add a 3% uplift in productivity
  • Data-driven firms are 40% more likely to launch new products and services.

What does a skilled data workforce look like?

The research suggests that the biggest issue facing the industry is the lack of skilled data analysts/scientists, where demand has grown 41%. Businesses are using a combination of actions to solve this lack of supply of skilled people, including off-shoring the roles, recruiting best fit and using a combination of inhouse, on the job and external training to grow their own.

Many organisations are also developing inter-disciplinary teams to create a data literate workforce because the skills needed within a data scientist are so rare; as the report says, as rare as “unicorns”. Our own experience of recruiting a data scientist would support this.

The workforce which is emerging is one focussed on adaption and flexibility, based on data sciences across the board, such as qualitative researchers, mathematicians, statisticians, developers and business analysts. Within this mix of skills, the new workforce also needs to have a creative flair and business knowledge that enables them to use the data in the organisation’s best interest and to add value.

What does it mean for skills suppliers?

As an emerging profession, it is difficult to pin down the exact skills an employer needs which in turn makes it difficult for schools, colleges and universities to supply the right type of education. The accompanying policy briefing from NESTA and Universities UK, Analytic Britain: securing the right skills for the data-driven economy, makes a number of recommendations, highlighted in the infographic above, many of which focus on the skills suppliers.

Universities are both a supplier and user of these skills and have a unique opportunity to really enage with the market. The focus on metrics in both the proposed Teaching Excellence Framework and Research Excellence Framework means that universities themselves are in need of the same skills and have an opportunity to supply based on experience.

For universities these recommendations have a number of impacts, and data issues are increasingly at the forefront of policy thinking. Universities UK has reviewed how data analytics are taught across disciplines and reflects on the shortage of academic staff who are confident in teaching data analytics in this way and the varying skills of students entering higher education.

The pervasive nature of the data revolution explains why a variety of disciplines and skills are being brought together. No one can argue against the need for more and better data to improve policy making and business planning. Plenty of data is now being captured but not used, and in the words of John Lennon “you say you want a revolution” and “we all want to change the world” … data is changing our world significantly but are you equipped for it?


The Idox Information Service can help you access further information on the use of data science, and the skills needed. To find out more on how to become a member, contact us.

Download the Datavores Infographic.

Further reading on the topics covered in this blog and infographic*:

Skills of the datavores: talent and the data revolution

Are you a Datavore? Insights on the use of online customer data in decision-making

UK data capability strategy: seizing the data opportunity

Information economy strategy

Inside the Datavores: how data and online analytics affect business performance

Employer insights: skills survey 2015

Big data analytics: assessment of demand for labour and skills 2013–2020

UK corporate perspectives: new technologies – where next?

*Some resources may only be available to members of the Idox Information Service