Actions

Editing Adapting to the innovations around data

Warning: You are not logged in. Your IP address will be publicly visible if you make any edits. If you log in or create an account, your edits will be attributed to your username, along with other benefits.

The edit can be undone. Please check the comparison below to verify that this is what you want to do, and then save the changes below to finish undoing the edit.

Latest revision Your text
Line 9: Line 9:
 
|-
 
|-
 
|Being data driven
 
|Being data driven
|Informing decisions rather than just back them up. Using data to challenge the 'hippo' highest paid opinion
+
|Informing decisions rather than just back them up
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?
+
Using data to challenge the 'hippo' highest paid opinion
 +
 
 +
Data conversations can be very nebulous
 
|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
 
David McNeill from SCVO has written a blog exploring various case studies for [https://scvo.org.uk/post/2018/03/22/what-if-we-could-use-data-for-good data driven approaches].
 
 
|
 
|
 
|-
 
|-
 
|Charities and data
 
|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.
+
|International data agendas - Child poverty and hunger
 +
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
  
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.
+
Lots of pro-bono support needs clear questions from the sector first
  
 +
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.
+
Large fundraising departments have expertise on data.
|International data agendas - Child poverty and hunger
+
|Mobile phone and identifying aid (Africa)
 
 
 
 
[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
 
 
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.
 
 
|
 
|
 
|-
 
|-
Line 62: Line 59:
  
 
Sector don't often have the expertise to open up their data
 
Sector don't often have the expertise to open up their data
 
<br />
 
 
|Bustracker app in Edinburgh was based on open data
 
|Bustracker app in Edinburgh was based on open data
 
|
 
|
 
|}
 
|}
 
<br />
 
<br />

Please note that all contributions to Civil society Scotland Wiki are considered to be released under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) (see Civil society Scotland Wiki:Copyrights for details). If you do not want your writing to be edited mercilessly and redistributed at will, then do not submit it here.
You are also promising us that you wrote this yourself, or copied it from a public domain or similar free resource. Do not submit copyrighted work without permission!

Cancel Editing help (opens in new window)