Adapting to the innovations around data
|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.
||International data agendas - Child poverty and hunger
|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?
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|