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
Data conversations can be very nebulous
|DataLab, DataKind and discussions at DataFest
DataKind video? Drawing on different data sets e.g. on fire prevention
|Charities and data||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
Lots of pro-bono support needs clear questions from the sector first
Sector tends to fall back on evaluation approaches and annual cycles.
Large fundraising departments have expertise on data.
|Mobile phone and identifying aid (Africa)
Oct doc - Simon community, Royal Blind
|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|