of PRM tools used by the Accident Compensation
Corporation, New Zealand’s government entity
responsible for administration of the accidental
injury compensation scheme. The academics
found that the practice raised a number of
fundamental questions that the government
ought to be able to address when considering
the implementation of PRM.90 These questions
include whether:
• The PRM tool is accurate – this requires
both transparent evaluation processes and
a thorough description of the data set on
which it was assessed
• The responsible agency can explain
how the PRM tool works so that clients
can appeal a decision made by it
• The PRM tool distorts the way the agency
pursues its policy objectives
• The PRM tool enables the agency to ‘duck’
its responsibility to make fair and humane
decisions
• The PRM tool implicitly discriminates against
individuals – evaluative processes should be
used to identify whether this is the case
• The responsible agency is effectively training
employees in the use of the PRM tool and
associated decision-making system
2.6 Citizen Based Analytics
New Zealand is taking a leading and innovative
approach to the use of scientific evidence
to inform public policy, led by the Office of
the Prime Minister’s Chief Science Advisor,
Sir Peter Gluckman. In June 2017, the Office
released a discussion paper on the benefits and
limitations of how the Government can use big
data to better inform social policy decisions, an
approach described as “social investment” in
New Zealand.91 The research was the result of
a collaboration with European data statisticians
via the European Commission.
The use of data and citizen-based analytics has
been made possible in New Zealand through the
90 http://www.otago.ac.nz/humanities/news/otago664403.html.
91 Using Evidence to Inform Social Policy: The Role of Citizen-based
Analytics, A discussion Paper, Sir Peter Gluckman, 19 June 2017, http://
www.pmcsa.org.nz/wp-content/uploads/17-06-19-Citizen-based-analytics.pdf
development of the Integrated Data Infrastructure
(IDI), a large research database containing
microdata about people and households taken
from a range of government agencies, Statistics
NZ and NGOs.92 Once the data is linked it is
anonymised and placed under the custodianship
of Statistics NZ. Researchers and analysts can
then examine the data to look for trends and
relationships between factors.93 The IDI has been
subject to privacy impact assessments and is
subject to the privacy protocols of Statistics NZ.
Sir Peter Gluckman’s research notes that there
are also circumstances where identifiable client
level data may be used and therefore appropriate
data governance, safeguards, accountability
and oversight must be in place to ensure social
acceptability and the social license for the
use of big data.94 According to the discussion
paper, in order to address the multiple uses of
data, the Government Statistician, the Privacy
Commissioner, the Chief Science Advisor and the
Data Futures Partnership95 are working together
to recommend an assurance and governance
system for data access and use.
Countervailing privacy risks associated with
policies that enable the state access to and
use of client level data were addressed by the
Privacy Commissioner in a major 2017 inquiry
and report on a controversial policy of the
previous government to require NGOs to disclose
individual client level data to the Ministry of
Social Development as a condition of their
funding contracts.96 The contracts were linked
to MSD’s four service lines – Work and Income,
Child, Youth and Family, Family and Community
Services, and the Ministry of Youth Development,
including services that have a children, young
92 http://archive.stats.govt.nz/browse_for_stats/snapshots-of-nz/integrated-data-infrastructure.aspx
93 Enhanced evidence-informed policy making, A report by the Prime
Minister’s Chief Science Advisor, July 2017 http://www.pmcsa.org.nz/
wp-content/uploads/17-07-07-Enhancing-evidence-informed-policy-making.pdf
94 Ibid.
95 The Data Futures Partnership is an independent group funded by the
New Zealand Government that identified challenges in the data-use
system and facilitates conversation with New Zealanders to understand
their perspectives on data use in order to develop guidelines to help
organisations build and maintain trust of those whose data they wish to
use, http://datafutures.co.nz/our-work-2/.
96 Office of the Privacy Commissioner, Inquiry into the Ministry of Social
Development’s Collection of Individual Client-level Data from NGOs,
https://www.privacy.org.nz/assets/Files/Reports/2017-04-04-Inquiry-into-MSD-collection-of-individual-client-level-data-OPC-report.pdf
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