top of page
  • Facebook - Black Circle
  • Twitter - Black Circle
  • YouTube - Black Circle

Reports etc 

policy steering.png
Anticipatory budgeting.png
Exp soc sci.png
thinking systems.png
steering 2.png


Here are links to some recent reports I've written or co-written:

EVIDENCE ECOSYSTEMS - a study of how these work and how they could work better, here  

WHOLE OF GOVERNMENT A study on Whole of Government Action and Innovation, missions and strategies, part of an EU programme, here

TRANSFERABILITY A study on transferability – if something works in one place and one time how do we know if it will work in other places and other times?  here

POLICY STEERING ROOMS A paper on how to connect facts, innovations, evidence and systems change through ‘policy steering rooms’ with Giulio Quaggiotto, here

SYSTEMS A paper on systems change and innovation, here.

INTELLIGENCE A study on how countries and governments handled intelligence through the COVID pandemic and how they could organise intelligence in the future.  here.

ANTICIPATORY FINANCE A study on how to reform public finance to better fit the needs of the 2020s, using investment methods, data and handling different timescales of impact:  here

WISDOM AS A LOOP  A report on wisdom - how to understand it, how to promote and how to build it into institutions and technologies,  here

GLOBAL SCIENCE A chapter on reforming global governance of science (part of the STRINGs project),

SYNTHESIS A paper on the vital role of synthesis in government, here

EXPLORATORY SOCIAL SCIENCE  A paper for the New Institute in Hamburg on how social science could do better in designing options for the future, here

STEERING GOVERNMENT A report (prepared for Finland) on how governments can best steer their societies, for example to achieve net zero goals, here.

THINKING SYSTEMS  A report for UCL/STEaPP on how systems can think and act more intelligently, here.

CENTRES OF GOVERNMENTS A study on how to reform centres of governments,  here

JOBS AND THE FUTURE A recent paper on labour markets and automation, by a group of graduate students at UCL, click here



A co-authored report for the UNDP on use of collective intelligence methods in development and in particular looking at combinations of artificial and collective intelligence.  To read the report click here.

UNDP report.png

Global digital governance - what needs to be done

February 13, 2020

This report sets out options for global digital governance - from cybersecurity to AI and infrastructures. My report was prepared for Cambridge University China Dialogue Centre, to frame a discussion involving many governments, corporates and civil society.  Its proposals look out to what the world will need over the nex 10-20 years.   My section is pages 5-18 of the report which is followed by a detailed account of the seminar held late in 2019.

Jobs and collective intelligence in Bangladesh

February 12, 2020

This blog describes work I am involved in - with UNDP and the government's A2i - to help Bangladesh create an adaptive labour market - mobilising collective intelligence to support the country navigating the many threats and opportunities that the next few years could bring.  My co-author is Anir Chowdury.

Social innovation and the case for DIY societies

December 23, 2019

Social innovation is the deliberate invention of new solutions to meet social needs. In his new book, Social Innovation: How Societies Find the Power to Change, Geoff Mulgan, a pioneer in the field, argues for matching research and development in technology and science with socially focussed research and development.

This extract from the book shows how we only see a fraction of the potential social imagination around us.

Collective intelligence as humanity's biggest challenge

December 05, 2017

In the last few months the world’s media have noticed artificial intelligence programmes that can surpass humans at the most complex games like Go, joined in the excitement around driverless cars and helped to fuel fears that robots are set to take millions more jobs.

We now live surrounded by new ways of thinking, understanding, and measuring. Some involve data— mapping, matching, and searching for patterns far beyond the capacity of the human eye or ear. Some involve analysis— supercomputers able to model the weather, play chess, or diagnose diseases (for example, using the technologies of firms like Google’s DeepMind or IBM’s Watson). Some pull us ever further into what the novelist William Gibson described as the “consensual hallucination” of cyberspace.

These all show promise. But there is a striking imbalance between the smartness of the tools we have around us and the more limited smartness of the results.

1 / 1

Please reload

bottom of page