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James Bowles Profile
James Bowles

@j_bowles

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Research and consultancy @apteligen, supporting nonprofit organisations with strategic data use. Formerly @unibirmingham.

Birmingham
Joined August 2009
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@j_bowles
James Bowles
3 years
I've been thinking a lot lately about how to help organisations use data for strategy and develop a strategy for data. I've written a blog on where I think might be a good place to start (feedback very welcome!) https://t.co/lj5IyMk2Sn
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@j_bowles
James Bowles
1 year
It’s a big day for cartogram lovers!!!
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@LibDems
Liberal Democrats
1 year
This has been an exceptional night.
@SkyNews
Sky News
1 year
BREAKING: Sir Ed Davey hails 'exceptional' election result for Liberal Democrats Read more 🔗
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@HelenGoodmanBA
Helen Goodman
2 years
#DWP's decision to prosecute #Carers is heartless and stupid. As a former DWP Minister I think the entire #carersallowance needs reform @MarshadeCordova @patrickjbutler @Helen_Barnard . These people doing essential work and are treated abysmally. Here's why
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@j_bowles
James Bowles
2 years
I’m using LinkedIn far more than Twitter these days. If we’ve connected on here and you enjoy charity / data content then do connect on LinkedIn too
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uk.linkedin.com
I work with individuals and organisations to design, deliver, and learn from strategic… · Experience: Charities Aid Foundation (CAF) · Education: University of Birmingham · Location: Royal Leamington...
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@j_bowles
James Bowles
2 years
In the UK, two important initiatives to break the nonprofit starvation cycle have been: - Support for grantees to measure and report 'Full cost recovery' -@IVAR_UK’s open and trusting programme
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@j_bowles
James Bowles
2 years
This leads to unsustainable, ineffective, and often harmful working practices. Two studies with large sample sizes find: (1) A decline in reported overhead expenditures over time (2) The existence of a possible 'optimal' spending on overheads
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@j_bowles
James Bowles
2 years
It's #theorythursday and this week's theory is the "nonprofit starvation cycle", which occurs when the true cost of overheads are not recognised, forcing organisations to spend less than is required on essential costs such as infrastructure, staffing, and governance.
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@bothness
Ahmad Barclay
2 years
🚨🗺️📊Calling all UK local data nerds… After more than a year of development, we’ve just launched #ExploreLocalStatistics, a brand new way to explore 57 datasets from across government right down to a local authority level! https://t.co/zmXyiYeuXz 🧵1/5
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@j_bowles
James Bowles
2 years
It can be hard to get funding for tech and data costs, but reframing the purpose of tech and data as contributing to an organisation's overall strategy, to the stewardship of resources, and long-term sustainability, might help. #theorythursday
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@j_bowles
James Bowles
2 years
I love this paper, and it helped me to think about how we frame funding bids for technology and data work and infrastructure.
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@j_bowles
James Bowles
2 years
This study in NVSQ suggests so! It finds that describing a clear purpose for funding overheads overcomes some of the aversion to providing donations that activity that is more 'back room' than 'front line'.
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@j_bowles
James Bowles
2 years
If we reframe core costs / overheads as contributing to an organisation's long-term sustainability and capacity, then are donors more likely to be willing to fund them?
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@j_bowles
James Bowles
2 years
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@j_bowles
James Bowles
2 years
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@j_bowles
James Bowles
2 years
You can read more on data infrastructures: https://t.co/XJ8sZo5ter On Critical Data Studies and the data assemblage:
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@j_bowles
James Bowles
2 years
A helpful tool for this is the idea of 'data assemblages', which are the economic, technical, political, and social elements of data production.
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@j_bowles
James Bowles
2 years
In organisations this means we can assess fully the factors which influence the creation and use of data, and gives us space to reimagine new data infrastructures.
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@j_bowles
James Bowles
2 years
Data infrastructure literacy is important because it helps us to support individuals to not just read, interpret, and use data effectively (data literacy) but to understand the “wider socio-technical infrastructures through which data is created, stored and analysed”
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