| DIALOGUE: Regulatory Frameworks for Improving Access |
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| Written by Abi Jagun, APC and Amy Mahan, LIRNE.NET | ||||||||||||||||||||||||||||||||||||||||||||||||
| Friday, 19 October 2007 | ||||||||||||||||||||||||||||||||||||||||||||||||
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Page 10 of 11 Claire Milne Antelope Consulting, cbm [at] antelope.org.uk Communications capability profiles All countries are working towards enhancing their citizens’ access to modern communications technology. Rapid technological and market change mean that relevant objectives are constantly being raised, and are becoming more complex. For example:
The relevant targets are increasingly inter-related: for example, public phone targets might be relaxed if high private phone take-up were achieved. Important aspects that are not always monitored include:
Presenting a reasonably simple yet accurate overview of a country’s situation in all these dimensions, to permit a sensible assessment of needs and priorities, gets ever more challenging. Attempts to meet the challenge include indexes (like the Digital Opportunity Index) which average achievement across many dimensions to present a single simple number; and spider diagrams which represent several dimensions on a par with each other, stressing their independence. The over-arching objective of all these endeavours is not actually to provide technology access, but to enable people to communicate. Individuals usually acquire capabilities progressively, in keeping both with growing technology availability and their own patterns of learning and behaviour change. So another way to represent progress could be through a communication capability profile, which estimates the percentage of the population** with increasing capability levels. An example six-level cumulative capability scale is shown below. Because each capability level builds on the previous one, the percentages would necessarily decrease as the capability levels increase, as in the example profile below.
Especially when compared with other countries’ profiles, the profile should provoke discussion on UA/US programmes and priorities eg resources for internet or phones catering for people with disabilities, versus more public phones or more wireless coverage. The percentages could be estimated through direct surveys, or, as in this example, derived from measured availability of facilities and so on (details provided below). There are a lot of questionable assumptions in this example, and in reality one would probably want many more factors, possibly measured in more detail (eg regionally rather than nationally). The point is to end up with a simple yet meaningful representation of a complex reality. Compared with indexes and spider diagrams, the capability profile idea is founded in people rather than things, and stresses the interdependence of the factors, and especially their cumulative effects.
Notes:
Basis for example profile
* Alternatives could be ‘within x hours journey’, ‘within normal weekly journey’ etc.
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