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Difference between revisions of "Adapting to the innovations around data"

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|Being data driven
 
|Being data driven
|Informing decisions rather than just back them up
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|Informing decisions rather than just back them up. Using data to challenge the 'hippo' highest paid opinion
Using data to challenge the 'hippo' highest paid opinion
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Getting more practical and incrementally building and learning what works. Data conversations can be very nebulous. Implications: Need to change the strategy; less grand programmes?
 
 
Getting more practical and incrementally building and learning what works. Data conversations can be very nebulous. Implications: Need less grand strategies?
 
 
|DataLab, DataKind and discussions at DataFest
 
|DataLab, DataKind and discussions at DataFest
 
DataKind video? Drawing on different data sets e.g. on fire prevention
 
DataKind video? Drawing on different data sets e.g. on fire prevention
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|Charities and data
 
|Charities and data
|International data agendas - Child poverty and hunger
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|Biggest problem - people don't know what they want - can't define the questions. Sector not sophisticated enough yet to define the questions that could be answered. Lots of pro-bono support needs clear questions from the sector first.
Biggest problem - people don't know what they want - can't define the questions
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Much if the sector in Scotland hasn’t yet caught up with data driven innovation. Sector tends to fall back on evaluation approaches and annual cycles.
  
Sector not sophisticated enough yet to define the questions that could be answered
 
  
Lots of pro-bono support needs clear questions from the sector first
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But recognise that it’s a diverse sector. Large fundraising departments have expertise on data. Big research and environmental charities process lots of data.
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|International data agendas - Child poverty and hunger
  
Sector tends to fall back on evaluation approaches and annual cycles.
 
  
Large fundraising departments have expertise on data.
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[https://m.youtube.com/watch?v=l09Xw-EVsAE&t=1s UNICEF uses anonymous location data] from private sector and mobile and travel to identify where to intervene in humanitarian crises.
|[https://m.youtube.com/watch?v=l09Xw-EVsAE&t=1s UNICEF uses anonymous location data] from private sector and mobile and travel to identify where to intervene in humanitarian crises.
 
 
Oct doc - Simon community, Royal Blind
 
Oct doc - Simon community, Royal Blind
  

Latest revision as of 12:00, 30 May 2019

Key themes[edit | edit source]

Key themes Opportunities and barriers Case studies
Being data driven Informing decisions rather than just back them up. Using data to challenge the 'hippo' highest paid opinion

Getting more practical and incrementally building and learning what works. Data conversations can be very nebulous. Implications: Need to change the strategy; less grand programmes?

DataLab, DataKind and discussions at DataFest

DataKind video? Drawing on different data sets e.g. on fire prevention

David McNeill from SCVO has written a blog exploring various case studies for data driven approaches.

Charities and data Biggest problem - people don't know what they want - can't define the questions. Sector not sophisticated enough yet to define the questions that could be answered. Lots of pro-bono support needs clear questions from the sector first.


Much if the sector in Scotland hasn’t yet caught up with data driven innovation. Sector tends to fall back on evaluation approaches and annual cycles.


But recognise that it’s a diverse sector. Large fundraising departments have expertise on data. Big research and environmental charities process lots of data.

International data agendas - Child poverty and hunger


UNICEF uses anonymous location data from private sector and mobile and travel to identify where to intervene in humanitarian crises. Oct doc - Simon community, Royal Blind


Reframing social causes to inspire engagement by people. Not about giving to charity, but about achieving your social cause e.g. climate change, tackling poverty, addressing inequality.

Responsible technology Role of regulation and understanding how technology changes their role

Checks and balances and balancing regulation with innovation in 21st Century

Data agenda setting Is there a data agenda? What does it look like?

Personal data

Using data and AI inform decisions

Role of automated decision making. Automation is already changing jobs, not just a future agenda.

Skills to system design this. Data literacy and education, reskilling.

Its not which jobs will go and which won't, it's about in what way will all jobs change to e.g. systems design skills.

Open data Making data available for use and re-use. Is this a public sector agenda only?

Open data becomes most useful when it solves a real problem

Open data allows an enterprising individual to innovate using existing data - can sector learn from this

Sector don't often have the expertise to open up their data


Bustracker app in Edinburgh was based on open data