Page 357 - Special Topic Session (STS) - Volume 4

STS1080 Fionn M.

In general, and especially in regard to disruptive technological advances,
e.g. Internet of Things and Smart Cities, our leading research will encompass
the following. The role of ontologies is very central in qualitative analysis of
research, cf. Murtagh et al. (2018). Context is so very important in Big Data
analytics and in many domains, Murtagh and Farid (2017). In Murtagh and
Farid (2017), it is described how analytical focus and ancillary and contextual
information sources are to be well associated and/or well combined.
Ultrametric regression, in Murtagh et al. (2011), the regression is based on the
hierarchical structure of the predictor variables, for predicting the outcome or
dependent variable.
We will list many sources of open data, an important aspect of
development work is to have access to data sources, with good quality data
curation, adhering to open data standards when appropriate relative to data
rights and security, which will be fully taken into consideration.

5. Conclusion
Following also Allin and Hand (2017), here at issue has included:
Qualitative and quantitative observing and monitoring of wellbeing: New
statistical drivers, Big Data analytics, Open Data, geometry and topology of
data and information, semantics, homology and field; Geometric Data Analysis
and the Correspondence Analysis platform.
In Allin and Hand (2017), there is discussion of data sources for national
health services, and the importance of Big Data to address bias of self-
selected, social media or other data sources. Having Big Data to contextualize
statistical analysis is at issue in Keiding and Louis (2016).
Open data sources are implying the essential need for integration of data
sources; and in the future, from disruptive technology advances, such as
Internet of Things (IoT), smart cities, etc. Other important current work is
towards: health and medical management and policy making, to be based on
association with, or integration with, many open data sources, and other data
sources.

References
1. Allin, P. and Hand, D. (2017), “New statistics for old? – Measuring the
wellbeing of the UK”, Journal of the Royal Statistical Society, Series A,
180(1), 3–43, Including F. Murtagh comments.
2. Keiding, N. and Louis, T.A. (2016), “Perils and potentials of self-selected
entry to epidemiological studies and surveys”, Journal of the Royal
Statis¬tical Society, Series A, 179 (2), 319–376. Including F. Murtagh
comments.

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