[Mark Birkin]

3 minutes ago, Tom Hughes said:

@Mark Birkin you mention the UK Geospatial Strategy and you highlight part of the mission is to enable innovation. Earlier in this series we had a talk from @Neil from the Geospatial Commission looking at the pilot phase of the National Underground Asset Register (NUAR). Part of Neil’s talk looked at the data sharing processes between data owners and NUAR as well as how the data is shared with NUAR users using a security minded approach developed using a focused set of high value use cases. In the future Neil anticipates a consumer API for NUAR although the use cases for this are still active areas of development. Do you anticipate similar levels of innovation in relation to demographic digital twins, and in your view how important is establishing the right use cases for getting value from demographic simulation and what if planning?      

 

That sounds interesting, I must check out that talk!  I was involved in something similar a couple of years ago around healthy lifestyles (“Obesity Strategic Network”) working with international partners to articulate problems, opportunities, approaches (and data!) with contributions from government, local health agencies, and business organisations.  Completely agree the importance of involving both data owners and problem owners (generally the same people I suppose!) in articulating the problems and solutions, and also the value of case studies.  Very much our approach in the Bradford examples I mentioned earlier where a very wide range of organisations have been involved in the design process.  Again, I think an important value-add from the Turing here is opening doors throughout government but also varied business organisations to get to these Use Cases – but completely agree this is a priority and there is always more that could be done.

[Mark Birkin]

5 minutes ago, Steven Zhang said:

Hi @Mark Birkin , thanks for the informative and yet high-level pesentation about the Digital Twin for UK population. I am gald to hear that real-time analaysis is on top of your list. Compared to real-time data, the census data has been a traditional source of social-demographic information. Can you see any oppotunity in the upcoming 2021 census? Especially, the application of more and more administrative data based census., which sits between the snapshot data and real-time data.

Hi Steven, Yes, as I am sure you are aware there has been a lot of discussion about beefing up the census from other sources including both administrative and commercial data, for example with the census providing a ‘population spine’ to which other things can be added.   I clearly remember these discussions following the last census (2011) and if anything I would say things have progressed rather more slowly than I would have liked and expected.  We may have to wait until 2031 for some real innovation here!  Again, privacy and conflicting (commercial) interests big issues here, as well as biases in non-census data sets.  But I do think covid is opening people’s eyes to the need for data which are both continuously updatable and greater breadth of coverage (e.g. in relation to behaviour, consumption, attitudes) than we get in the census.

[Mark Birkin]

5 minutes ago, Richard Bradley said:

Hi Mark, the welfare benefits are largely captured through travel cost savings, which, in a perfect economy, includes capturing associated secondary benefits.  However, there are wider benefits associated with economic failures in an imperfect economy and with agglomeration effects.  These types of wider benefits are now largely captured.  However, what is not as clear is the distributional effects and how these should be accounted for in decision making.  For example, if we target infrastructure at a poorer or wealthier area we have to displace the impacts in some way as there is assumed a fixed amount of ‘water in the economy pipework’.  However, this doesn’t level-up the UK and if we can understand quality of life then we might be able to understand distributional impacts.  For example, the poorer area outcome could be higher wages, which then reduces crime, health issues, etc.  This is tackling the ’causes of causes’ and goes across sectors.  But we can’t do this effectively unless we can bring the silos together.  DG’s have great potential to do this.  Thanks Richard

Sounds good.  And the microsimulation approach is perfectly suited to capturing these kinds of distributional consequences at quite a fine scale.  The origins of these methods grounded in understanding consequences of taxation, benefits or financial policy across sub-groups, while advances in spatial MSM means that we can translate this into specific regional and local environments.  

[Mark Birkin]

The most obvious issue for me would be that infrastructure owners tend to have a concern with a population of users or customers, but the infrastructure impacts much more widely (e.g. through externalities like congestion and pollution) – so crucial that all our approaches (SPENSER, QUANT, MISTRAL etc) are grounded in understanding trends, patterns and impacts across the whole population.  This underscores the importance of having a NATIONAL digital twin and I guess a need to balance interests of infrastructure providers with local agencies and some coordination through central government/ NIC and the like.  The Turing I think is well-placed to tread a middle ground between these various interest groups, and also particularly well-placed to engage with government.

[Mark Birkin]

There is a lot of talk about ethics and privacy of data, and these questions are clearly fundamental (great need to engage the public in understanding the value-added and benefits of using data in this way).  But I’d see the main obstacles around ownership and commercial considerations.  I think we can see this quite clearly in the current pandemic – there are great repositories of data that could dramatically illuminate our understanding of what’s happening and what to do within e.g. financial transactions, mobile telephone traces, but great sensitivity amongst the data owners to the terms under which these data might be shared for public benefit.  More groundwork is needed – we can’t solve all these problems in the midst of a pandemic (though of course have started with institutes like Ada Lovelace – Royal Society also very active in this space).

[Mark Birkin]

5 minutes ago, Richard Bradley said:

Hi Mark, at Transport for the North we were given the job to disrupt the analytical status quo and understand how investment decisions can be made more equitable.  We have developed the Analytical Framework to achieve this, supported by evidence on why decisions may appear unfair.  This applies just as much within the North as within the UK.  The three themes that appeared from the associated ‘Five Whys’ root cause analysis included: exploring new futures and uncertainty; being able to show that levelling-up is good for the UK; and better representation of the customer experience.  So a lot has been done over the past few years on levelling-up – I’m happy to take you through this experience if you want.  Thanks Richard

That sounds good.  I would love to know more.  Also, any experience in translating these approaches to investment in other sectors e.g. housing, health care, education, crime – I guess you capture a lot of this through some kind of impact analysis?

 

[Mark Birkin]

Thanks Richard, that’s an interesting question and I must admit I have a tendency to be suspicious of overambitious approaches (boiling the ocean”?!) but very much take your point about a level playing field.  We do have a very open approach to the science of DTs – for example, outputs from the SPENSER model I discuss are already available through the CDRC at Leeds (www.cdrc.ac.uk) and all the covid models and code we are developing are open-sourced.  Definitely something the Turing would like to build upon in the next phase of Digital Twin- I’m sure CDBB would feel the same way.

[Mark Birkin]

There is a nice introductory piece about the work in Bradford here:

https://lida.leeds.ac.uk/news/improving-lives-through-big-data-holly-clarke/

[Mark Birkin]

The ‘levelling up’ agenda is another area of significant opportunity.  Organisations like the GLA and TfL at the moment seem to have a lot of resources and capability which I would like and expect to become much more widely available across metropolitan authorities and other local administrations around the country.  For example we are working with colleagues in Bradford at the moment on a wide range of issues relating to inequality, ranging from diet and obesity, education, crime, and economic inequalities.

 

[Mark Birkin]

Real-time analytics would be close to top of my list – being able to access data on mobility or consumption patterns and predict and analyse trends and impacts is new and very powerful.  we are starting to see some of this e.g. in transport and mobility planning – but I expect this to broaden significantly – in pubic health for example!