This week I had the privilege of participating
in the World Bank's 3rd High-Level Meeting on Country-led Knowledge Sharing in Washington DC. An amazing event attended to around 1000 people from 73 different countries. With thanks to the organizers, here are a few of my take-aways...
1. What can the public sector learn from the private sector?
Jean-Claude Monney's keynote talk on Microsoft’s knowledge
management initiatives prompted one of the most stimulating questions asked of
HLM3 panellists. ‘What can the public sector learn about knowledge sharing from
the private sector?’. It is true that the private sector has pioneered many
knowledge sharing techniques.Howeve having worked in both sectors, I would
observe that public sector organizations also have much to offer the commercial
world.
Public, and especially third sector
organizations, have a unique advantage that those with a predominantly
commercial imperative may not; intrinsic motivation. Having worked with many
dedicated people at the World Bank and with charities, I am struck by their
personal sense of wanting to ‘make a difference’. In behavioural economics
terms, this is a huge advantage. A request for help, clearly articulated
and effectively disseminated to those with know-how, will usually elicit a
positive response. However capability is often limited (time, communication
tools, more important delivery and performance targets).
My take-away? Provide effective channels, facilitate connections
and foster the right intrinsic motivation through leadership.
2. Supply and demand.
The first day of HML3 seemed to focus
predominantly on the demand side of knowledge sharing. The identification of
lessons and knowledge ‘capture’ were extensively discussed. However ‘sharing’
requires both supply and demand for reciprocity. It was therefore refreshing
that day 2 touched on the supply side too. I don't mean producing shelf-ware or
supply where there is no evident demand, but thinking about how codified
knowledge might be effectively found and consumed. Co-creation of knowledge, facilitation
of peer-to-peer connections and evidence-based decision making came up time and
again in the breakout sessions as critical techniques for making sure knowledge
supply and demand are connected.
Examples provided were the altruistic sharing
of blindness prevention program results in Tunisia and UNICEF helping four East
African countries make real-time health clinic data widely available. Sergio
Escobar explained of how Medellin, Columbia has made their experience of
turning around a crime-ridden city, available to other cities. He stressed the
need to make their results adaptable to different contexts. These examples
showed real understanding of the importance of expressing lessons through the lens of those who need the knowledge,
rather than simply writing a case-study. That's smart supply.
3. Measurement and leadership
Session moderator Karen Mokate asked the
important question ‘how do you measure success and impact’. Ian Thorpe from
UNICEF stressed that experiential knowledge cannot always be codified; indeed
simply connecting practitioners has real and immediate value*. He observed that
‘Knowledge sharing is a catalytic process;
in itself, it does not have a defined rate of return’. Perhaps a measure of
knowledge sharing success is that demand for know-how and expertise is matched
by supply. In other words, there is an observable virtuous cycle of creation,
adoption and adaption of knowledge.
Another common refrain, particularly in the
breakout groups, was the importance of real leadership in effective knowledge
sharing. That’s not just ‘buy-in’, but for example, asking questions about how
learning from success have been disseminated and change effected. True
knowledge leadership publically acknowledges the learning opportunities from
failure.
4. What would I like to have heard about?
Innovations that I thought might be examined in
the context of country-led knowledge sharing are the amazing innovations in
Artificial Intelligence and the Blockchain. These could be considered as
technologies designed to simply make automate transactions and drive down costs
(in themselves not unimportant for knowledge sharing). Their real potential is
that, in a world of increasing complexity and the data firehose, they free up
cognitive capacity to make smarter sustainable development decisions, better anticipate
outcomes and reduce risk.