Lecture 21

Question 1

Sustainable Development Goals (SDGs)

Answer 1

A global call to action to end poverty, protect the planet and improve the lives and prospects of everyone, everywhere.

A range of goals that globally we’re aspiring to that cover social, economic, cultutral, other indicators

17 goals, 169 targets

Question 2

Tiers of the wedding cake model

Answer 2

Base: biosphere, 4 SDGs = 6, 13, 14, 15

Second tier: societal, 6 SDGs = 1, 11, 16, 4, 5

Top tier: economy, 4 SDGs = 8, 9, 10, 12

Without the biosphere or the society we don’t really have a good function economy in terms of the overall view of the SDGs

Question 3

Living Standards Framework

Answer 3

1. Our individual and collective wellbeing
2. Our institutions and governance
3. The wealth of Aotearoa New Zealand

Question 4

Individual and collective wellbeing

Answer 4

All about capturing the resources and aspects of our lives that are important for the wellbeing for us

We are wanting to set a standard that’s high and a consistent experience across all ehtnic groups

Question 5

Institution and governance

Answer 5

Markets, financial health, families, household, civil society

thinking about the roles that the institutions play in safeguarding and building our wealth

4 core capitals: natural, financial and physical, human or social cohesion.

Question 6

NZ Living Standards Framework and SDGs

Answer 6

LSF wellbeing domains –> sustainable development goals

All of the New Zealand based policies and regulations and legislation and everything that we do is a framework that focuses on improving the health of everybody in NZ

Question 7

Purple

Answer 7

Purple = no link between the living standards framework and the social and the SDGs

They are still important domains even though it cannot be used on a global scale because we measure them as a society to see how we are performing in those measures within the country

Question 8

Big Data

Answer 8

1. IDI
2. The integrated data infrastructure
3. Health data sets

Question 9

Characteristics of big data (V’s)

Answer 9

Four main terms:
1. Volume
2. Velocity
3. Variety
4. Veracity

Additional V’s
1. Variability
2. Value
3. Visualization

Question 10

Volume

Answer 10

The computing capacity required to store and analyse data

Question 11

Velocity

Answer 11

The speed at which data are created and analysed

Question 12

Variety

Answer 12

The types of data sources available (text, images, social media, administrative)

Question 13

Veracity

Answer 13

The accuracy and credibility of data

Question 14

Variability

Answer 14

The internal consistency of your data (reproducible research)

Question 15

Value

Answer 15

The costs required to undertake big data analysis should pay dividends for your organisation and their patients

Question 16

Visualisation

Answer 16

The use of novel techniques to communicate the patterns that would otherwise be lost in massive tables of data