What are these competencies for?

“A digital-era public service leader understands how to use data to inform decisions, design and run services, and create public value inside and outside government."

Background

Public servants have collected and used data since before the word 'statistics' was invented. The disciplines of economics, statistics, and public accounting have grown up hand-in-hand with the growth of modern bureaucratic states, pursuing the ideal of 'evidence based policy making'.

The dependence of public service on numeracy can be seen in the nature of core educational topics taught to public servants. Few people now gain positions of leadership without at least a minimum of tuition in the fundamentals of statistics or economics.

Given such a preponderance of numerical skills in current public affairs education, it might seem curious that we name data as a new competency that merits a focus. Isn't this an area already 'covered' by the typical MPA or MPP programmes, or the new wave of specialised data science programmes?

These courses have made great strides to match the pace of developments in technology and data. Indeed there has been an explosion of new modules and teaching on data science, data ethics, web analytics, AI and data. However the challenge is to ensure that public leaders can make good choices about which of these skills need deploying in which circumstances.

This means adapting teaching to public servants to adjust to the following major changes:

1. The types of data savvy specialists have increased and now include, for example, web analytics experts, and urban sensing experts.
2. There are new sources of data that modern public servants have to know about, beyond the traditional realm of official statistics.
3. These new data streams are more voluminous, and more often problematic in terms of quality than traditional official data.

Given all these changes are ongoing and rapidly changing, it is important to support educators in adapting their skillset to the new era.

Meaning of the competency

Public servants now need to be able to:

• Differentiate the types of problems that will require data scientists, versus statisticians or economists.
• Identify what skills will be required to acquire and clean data, and when these skills will be essential.
• Understand how the architecture and governance of new digital systems will make data more or less easy to use, share and maintain.
• Explain how the gap between 'policy data' and 'operations data' is collapsing.
• Anticipate and mitigate problems related to the sharing of data within governments.