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20161212 the silver_economy
Editor's Notes
- Hello, my name is Chris Evett, I’m the CEO of a consultancy called Simplexity Analysis. I’m from an analysis background and before founding Simplexity Analysis in 2014, I was an analyst and editor for the UK Global Strategic Trends programme. For this project, I led a team that applied data science principles in an attempt to improve how long term analysis and policy formation was conducted. For today, I’m going to focus on a particular form of topic modelling and expert mapping, that is sometimes referred to as ‘Context brokering’ today. Because today’s event is quite focused, I thought I’d just give you a brief overview of the process and then go through a guided example for the silver economy, that hopefully will provide good ‘food for thought’ through the facilitated sessions.
- Hello, my name is Chris Evett, I’m the CEO of a consultancy called Simplexity Analysis. I’m from an analysis background and before founding Simplexity Analysis in 2014, I was an analyst and editor for the UK Global Strategic Trends programme. For this project, I led a team that applied data science principles in an attempt to improve how long term analysis and policy formation was conducted. For today, I’m going to focus on a particular form of topic modelling and expert mapping, that is sometimes referred to as ‘Context brokering’ today. Because today’s event is quite focused, I thought I’d just give you a brief overview of the process and then go through a guided example for the silver economy, that hopefully will provide good ‘food for thought’ through the facilitated sessions.
- Hello, my name is Chris Evett, I’m the CEO of a consultancy called Simplexity Analysis. I’m from an analysis background and before founding Simplexity Analysis in 2014, I was an analyst and editor for the UK Global Strategic Trends programme. For this project, I led a team that applied data science principles in an attempt to improve how long term analysis and policy formation was conducted. For today, I’m going to focus on a particular form of topic modelling and expert mapping, that is sometimes referred to as ‘Context brokering’ today. Because today’s event is quite focused, I thought I’d just give you a brief overview of the process and then go through a guided example for the silver economy, that hopefully will provide good ‘food for thought’ through the facilitated sessions.
- Hello, my name is Chris Evett, I’m the CEO of a consultancy called Simplexity Analysis. I’m from an analysis background and before founding Simplexity Analysis in 2014, I was an analyst and editor for the UK Global Strategic Trends programme. For this project, I led a team that applied data science principles in an attempt to improve how long term analysis and policy formation was conducted. For today, I’m going to focus on a particular form of topic modelling and expert mapping, that is sometimes referred to as ‘Context brokering’ today. Because today’s event is quite focused, I thought I’d just give you a brief overview of the process and then go through a guided example for the silver economy, that hopefully will provide good ‘food for thought’ through the facilitated sessions.
- Use process slide to show how each stage works, where data is gathered from and where it is stored
- We first started tested a data driven approach to horizon scanning and general policy formation for the 2010 UK Strategic Defence and security review. For this, we took underlying trend data and organised them according to: Contributing networks Thematic (concept maps)
- Having started with internal data, and source organisations over the years we have widened the process. We know use the approach as a means of structured data gathering and analysis of open data for any particular problem. For example, when we ran the data gathering process for 2016 we yielded the following:
- Additionally, by using network mapping first – we were able to gather around 1200 open foresight reports and deduce the following topic map to base the drafting and analysis of policy documents from.
- We’ve done a very quick scan to help us inform today – At stage 1 we performed a very basic – open search and gathered a mixture of around 20 reports relating to the silver economy – mostly related to Europe and most from the open internet, with a few from our internal archives. Some of the reports are shown here.
- We’ve done a very quick scan to help us inform today – At stage 1 we performed a very basic – open search and gathered a mixture of around 20 reports relating to the silver economy – mostly related to Europe and most from the open internet, with a few from our internal archives. Some of the reports are shown here.
- We’ve done a very quick scan to help us inform today – for this we’ve taken a rough starting section of data on the silver economy and exposed it to the following process - for this we’ve generated two principle maps: A list of start sources/experts on where data might reside on the silver economy An early topic map of basic source data (around 20 reports)
- Analysing the data allowed us to produce a range of maps. The first shown here is a ‘rich picture’ map – this is a bespoke script designed in Gephi that illustrates interconnections between the most frequently occuring key terms in the data set. The use of this is that it gives a broad appraisal of the data and allows us to get a feel for the most reported topics and ideas of what early warnings/outliers there could be in the data. It also enables us to
- Will feature the master themes contained in the data and outliers gathered through the low frequency analysis. Potential themes and outliers: Employment models in the silver economy Loneliness Familism, social networks and silver spending power Ageing and healthcare