Innovation districts – the way forward for sustainable growth?

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By Heather Cameron

“Innovation is the lifeblood of any society or any economy” Julian Beer, Birmingham City University

Innovation districts, first coined by Bruce Katz and colleagues at the Brookings Institute in the US, are a recent trend in urban planning that is on the rise across the globe.

They represent a move away from the traditional corporate campuses, socially isolated in out-of-town sites, consisting of clusters of innovative research facilities in working areas that are also liveable, accessible by foot or by bike, and have good transport links.

The move towards these innovation hubs reflects the growing importance of the geography of innovation to urban areas.

Driving economic growth and regeneration

According to the judges and partners of the inaugural Lambert Smith Hampton Enterprise Award, consisting of leading figures from the property industry, innovation districts can drive economic growth and ensure the Northern Powerhouse and UK-wide devolution are successful.

The Sheffield City Region’s Advanced Manufacturing Innovation District (AMID) Partnership was selected as the winner of the £15,000 Award, the proposals of which were highlighted as an example of how developing industry clusters can deliver economic growth, employment and community regeneration. They also called for the AMID Partnership to be considered as a model for regional development.

The AMID Partnership consists of The University of Sheffield, Sheffield Hallam University, Harworth Estates, Sheffield Business Park, Sheffield City Council and Rotherham Metropolitan Borough Council.

This integrated approach utilises newly devolved powers and funding for the greatest economic and social impact.

The role of The University of Sheffield and its Advanced Manufacturing Research Centre (AMRC) in driving productivity improvements and innovation has been recognised in three independent reports.

One of the reports, Making it: the advanced manufacturing economy in Sheffield and Rotherham, notes that “R&D and industry-led innovation in Sheffield-Rotherham has been driven by the AMRC and led by the University of Sheffield, a UK leader in advanced manufacturing and research.”

Another notable innovation district in the UK is Corridor Manchester. Developed over the past 10 years, it is a partnership between the city council, local universities and regional hospitals that supports nearly 12% of the city’s workforce and generates £3bn GVA per annum. The recently opened £61m National Graphene Institute, which is to explore new commercial uses for graphene technology, has been described as “the perfect example of innovation-district potential.”

Growth in collaboration

Such university-industry partnerships are becoming increasingly common as a way for higher education institutions (HEIs) to enhance their research, create new research and development opportunities and increase revenues.

Robert Tijssen, chair of science and innovation studies at Leiden University in the Netherlands, has stated that “university-industry connectivity is now the third mission of a university, next to teaching and training and research.

The most recent Higher education – business and community interaction survey shows a continuing increase in the exchange of knowledge between UK HEIs and the public, private and third sectors.  Between 2012-13 and 2013-2014 these interactions increased in volume by 10.1%, the value of which was £300 million – increasing from £3.6 billion to £3.9 billion.

At a time of reduced government funding, it should be no surprise that such collaboration is continuing to increase.

A recent Universities UK report highlighting the extensive economic value of universities states that they have an important part in supporting businesses to drive product, process and service innovation.  And in terms of policy implications, it argues that:

any policy aiming to promote the long-term economic success of the UK needs to have universities at its heart, recognising the breadth, complexity and significance of their contribution and the need for stable, continued support to enable further impact.”

Barriers to innovation

Despite the wide recognition of the value of such partnerships, it has been argued that the UK’s fiscal policy of austerity acts as a barrier to industry innovation.

According to Simon Marginson, professor of international higher education at the UCL Institute for Education:

As long as the rewards for investment in financial assets are higher than the rewards for investment in knowledge-intensive industry innovation, the latter will be neglected… This is a serious problem in the UK economy, where finance generating finance often seems to be the main game.

Way forward

Nevertheless, it would seem likely that the rise in innovation districts will continue due to the organic nature of their growth, as highlighted by Katz and colleagues. Economic and demographic forces will continue to change the way people live and work.

Brookings has called for local decision-makers, global companies and financial institutions, and government to ‘unleash’, ‘embrace’, ‘support and accelerate’ innovation districts. The result: “a step toward building a stronger, more sustainable and more inclusive economy.”


If you liked this blog post, you might also want to read our previous post on science and innovation

Follow us on Twitter to see what developments in policy and practice are interesting our research team.

New Idox research – Data Mining to inform public policy

By Susan Lomax, Data Scientist, Knowledge Transfer Partnership placement

The latest “new” thing in the world of data mining is using “Big Data” to inform public policy. Using data mining methods, we can aid evidence-based decision making by learning what the data can tell us and using this to write or implement policy. Idox are now exploring these methods to look at opportunities for our public policy and research members.

Investigation indicates that using data in this way is in its infancy, where data mining methods are in the process of being used, but so far, very little is completed. Published examples include, London Borough of Newham’s property data, which has been combined with numerous other datasets and mined to examine change in property tenure in order to support, amongst other things, their housing management services. The University College London mined Oyster Card data in order to minimize cost for travellers using public transport and to encourage public transport use. The first stage of the research will be exploring what can be done and what would be useful to members.

As a new member of the Idox staff, I am on a scheme known as Knowledge Transfer Partnership (KTP), which helps companies engage in this type of research and development. The scheme is celebrating its 40th Anniversary this year, having first been formed in 1975 as the Teaching Company Scheme. The KTP program is funded by 17 public sector organisations and led by Innovate UK, formally the Technology Strategy Board. The aim is to support UK businesses wanting to improve their competitiveness, productivity and performance by accessing the knowledge and expertise available within UK Universities and Colleges.

Traditionally taking place in engineering and manufacturing industries, they have now branched out into ICT, looking at data analysis, and creative industries such as design, fashion, music and video games businesses. There are currently 800 partnerships across the UK.

Our research partnership includes an academic institution and The University of Salford, is on hand to provide support and guidance. It has an outstanding record with regard to innovation, enterprise and skills. The Informatics Research Centre builds on history, success and achievements of research in Computer Science and Information Systems over the last 30 years.

Data mining is a process to discover patterns in large datasets. Its roots are in disciplines such as artificial intelligence, machine learning, statistics and database systems. Its overall goal is to extract information from data and make this understandable, so that it can be used to make decisions. A popular book “Data mining: Practical machine learning tools and techniques with Java” has information about the most common data mining methods.

The three main data mining methods we will be trying are association rules, classification and clustering and we will be exploring these in the research.

  • Association rule learning searches for relationships between variables (or attributes) in the dataset. A most popular example is a supermarket finding out which products their customers buy together and use this information for marketing purposes. This is also known as market basket analysis.
  • Classification is when a dataset has examples grouped into known classes; the task is to assign a new example to one of these known classes. A well-known algorithm performing this task is the Decision Tree algorithm C4.5.
  • Clustering performs a similar task to classification but with clustering we don’t have an assigned ‘class’. A technique known as k-nearest Neighbour is a popular method. Other main tasks are regression, summarization and anomaly detection.

Although the research is explorative at the moment, I hope to keep you updated with our progress throughout the project. If you have any thoughts or want to find out more, please get in touch.


The Idox Information Service can give you access to a wealth of further information on data and knowledge management. To find out more on how to become a member, contact us.

Further recent reading*

Classification

Association rule

Measuring transit use variability with smart-card data

Digital councils

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

Knowledge insider… a Q&A with Sarah Jennings

sarah jenningsWelcome to the second of our blog series in the run up to our Conference, looking at how we invest in knowledge, this time with Sarah Jennings, Director of Digital and Community Engagement at CapacityGrid. She’s responsible for the Knowledge Hub, an online space for cross-sector collaboration focused on sharing good practice, ideas generation and supporting public sector transformation.

Sarah, what led you to a role promoting and improving knowledge development?  

I started my working career as a specialist librarian. Whilst working at the Royal Society an internal opportunity came up to manage the websites. This was digital in its infancy before the term existed, first generation activity in digital! However it seemed obvious that knowledge and information sharing would be key components.

After that I moved into the education sector, managing the online work at the previous incarnation of SSAT (The Schools Network) when it had responsibility for delivery of the specialist schools and academies remits for government. We specialised in providing support and training in teaching and learning; curriculum; networking and leadership development. This is where I first started to see the real benefits of technology as an enabler for peer-to-peer sharing of knowledge, case studies and best practice across networks of teachers.

Following a spell in regional government, I moved to the Local Government Association. Here I was responsible for the digital estate, including developing our communities of practice. However, people and sectors were still siloed and not sharing to best effect. So the launch of its successor, the Knowledge Hub, was an attempt to tackle this through building networks of people that weren’t necessarily around a theme and made use of emerging social media tools and techniques. I didn’t set off to do this and don’t really see myself as a knowledge manager. I’m more a convener of people. I enjoy connecting people up, facilitating conversations and getting people working together to improve things. I like herding cats; and seem to be quite good at it!

What do you think the main benefits of developing your knowledge are?

Keeping up to date with what is going on, the areas I work in, the sector I work in – I’m the sort of person who likes to devour knowledge.

I enjoy building my own network. I’m always surprised how often I look up someone I met or worked with a while ago and we do something amazing. In most areas I see myself as having a broad-based knowledge, rather than depth, however I do consider I have a reasonable knowledge where digital is concerned, having lived and breathed it for nearly 15 years in one form or another.

I think being multi-disciplinary in today’s world is a useful thing. Jobs are very different now. It’s incredible to think that developments in the last 100 years mean that some process driven professional roles have and will continue to disappear and be replaced by machines. Being multi-disciplinary is the key; a broad knowledge and skill-set means you can work across different roles within the workforce and provide more flexibility to organisational structures.

When people are talking to you about evidence, research or knowledge, what do they most frequently raise as issues?

Often, it’s “there is so much”: how do they navigate it? How do they find it? How do they know whether it’s any good? Even in Knowledge Hub, people need support and help finding what they need and this is the role of our community managers

I take advantage of my information management background, to help them to move through it, navigate. To do this well I have to recognise that everyone’s different – human nature, learning styles and decision making processes. I have to ensure Knowledge Hub caters for this diversity, whether people want formal learning with docs or forums for collaboration.

Big Data is often raised as an issue, knowledge about it, what to do with it and how to use it. Again, there’s too much and how do we know what’s worth using either for evidence or to predict future services?

But the biggest issue people face is “who are the experts?” How do you know who they are and who do you trust? The benefit of collaboration is it’s good for getting a range of information, opinions and expertise and experts, emerge from this process.

What are the hard to spot mistakes when it comes to developing your knowledge, which you really need to avoid?

Social media: your view of the world can be limited by the people you are following. Try not to (always) follow like-minded people because you get a narrow vision and view of the world. It’s important to step out of your area, look at the way people are doing things elsewhere.

Decision making: if I’m making a decision around digital, for example, I tend to talk to other digital people. Again, this can reinforce a stereotype and provide a narrow view.  It’s important to go beyond that, step outside your comfort zone, seek alternative views and break out of the silo. More often than not, we think about how we do something and not always the impact. With Knowledge Hub we are trying to introduce serendipity, introducing people to new groups and opportunities they may not have thought of, or come across, to enable this broadening to happen.

You need to be open minded, like a 360 review; get feedback, challenge your own assumptions. Everyone needs to take a break from the norm and look around them, see if what you are doing has already been tried and tested elsewhere, and you learn from.

This reflective approach is growing and it’s partly because the gender balance is improving, especially in digital, which is challenging the status quo and needs different (perhaps more?) skills. There are different ways of doing things, the best ‘managers’ out there are employing a whole range of different techniques. It’s no longer seen to be passive to have a mentoring approach, admit you don’t have all the answers and seeking help from others – even at the top!

Cass Business School, carried out research with retiring leaders from the baby boom era, asking them what they thought the next generation of leadership would need to look like. The majority said an emotional intelligence approach would be key.

Knowledge is fine but as a concept is no use unless you do something with it. We need to recognise talent and early on. Ideas and innovation can come from anywhere within an organisation. We simply need to know how to unlock it.

How do you think people will be doing evidence, research and knowledge development in 5 years’ time?

Data – It’s at the centre of everything; we are struggling with so much data, is it relevant, how do we use it?

There seems to be a couple of schools of thought on this, do we use it to learn lessons from the past or to predict what the needs are, more demand management? I think it’s a mix of both.  In terms of politics, services and understanding the world around us, this will become easier, the more data and information becomes available and we learn how to interpret it. Things like the “Internet of Things” are both exciting and daunting. To properly take advantage of these opportunities, we will need to get better at how we use data.

Skills – we will need to be cross disciplinary; able to pick up things; be collaborative; have people skills; ask the right questions; do creative analysis; then to question and assimilate what we learn. It’s not one person it’s a team, as it needs more than one person to innovate and take ideas to delivery.

As an individual you can be both specialist and cross disciplinary. It makes you valuable as a resource asset. People with specialist knowledge and the ability to look across multiple areas, will be the ones who succeed going forward, together with sufficient emotional intelligence to exhibit different decision making and leadership styles suited to the circumstance.

If you had a list of ‘best-kept secrets’ about research, evidence and knowledge you would recommend, what would you include and why?

Collaboration – understanding where the places are to go to, the experts and knowledge – people who don’t share will be left behind.

  • Remember to ask the awkward questions
  • Don’t confine where you go for answers

Looking at those people who are getting at the forefront of research, they are doing this now.

For my own expert knowledge:

The GDS especially for implementing good standards and principles, because they’ve invested time, money and effort and there’s no point in reinventing the wheel. For example design principles; website usability; transactions; or user journeys. Their development code is all shared on GitHub, and it’s now being taken up by other countries. Mike Bracken spoke at Innovate2014 about reusing services on a global level, the whole market out there gathering info and feedback on code and improving it. We are at a crossroads, for example the public sector is starting to dictate how a service works, changing the relationship and dynamics between suppliers and buyers to one based on demand, flexibility and co-creation.

Knowledge should be about improvement, where producers respond to demand and how a service needs to be delivered to most effect. The Social Value Act has had an effect on this. The opening up of public assets means IPR is being challenged and how people get recompensed for supplying a service. At the centre of supply and demand there is still knowledge.  We just need to think differently about the wrapper and commercial model.


If you would like to hear Sarah speak about her work and how social approaches can help in knowledge sharing, sign up to our free conference in December here.

You can also read a Q&A with Clive Grace, Local Government Knowledge Navigator.

Knowledge insider … a Q&A with Clive Grace

Clive Grace

In the first of our blog series in the run up to our Conference, looking at our experiences and how we invest in knowledge,  I interviewed Clive Grace, who is speaking at our Glasgow event on the 3rd December. He is part of the ESRC Local Government Knowledge Navigator, a two year project steered by Solace, the LGA and the ESRC to bring the research and local government communities closer together.

Hi Clive, what led you to a role promoting and improving knowledge development? 

“I am a sometime academic, and sometime practitioner, and I believe in cross fertilising my interests. This was particularly enhanced by two reviews I have carried out, looking at the engagement between academic research and local authorities through the Local Authority Research Councils’ Initiative in 2007 and 2010. Continue reading

We’re hiring! Data Scientist vacancy at The Knowledge Exchange

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Alex Thomas

The Knowledge Exchange is advertising for a Data Scientist as part of a Knowledge Transfer Partnership with the School of Computer Science and Engineering at the University of Salford. The role will examine the applicability of data mining techniques to big data held within Knowledge Exchange and Idox products including The Information Service.

The Information Service holds a unique collection of over 40 years of UK public sector research, strategy and policy. Such a collection offers rich and unique potential for sentiment analysis of the shifts and trends in public sector research since the 1970s. Anonymised user log-data from the Information Service could also be analysed to provide an unparalleled view of how the public sector uses and accesses research. This has far-reaching implications for academic research impact and funding. Continue reading