Adapting to the innovations around data

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Revision as of 16:56, 28 May 2019 by Ruchirshah (talk | contribs)

Key themes

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.

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

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

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