Tag Archives: GSMA

Dehumanization: cyborgs and the Internet of Things


[Just written this,  the beginning of Section 6.5 of my new book on ICT for Development – thought it might be of interest]

I distinctly remember once walking down Queen Victoria Street in London, and looking down through a window beneath street level to see row upon row of computers, each with their human attached, working away at delivering some unknown products.  It so reminded me of my early readings of Marx’s (1976) Capital, and the dehumanization of labour through the factory system that was designed to extract yet greater surplus value for the capitalists.  Although people like to think that they are in control of their ICTs, this is increasingly not the case.  Office workers come into their open plan work spaces, and ‘their’ computers force them to log in so as to access the information and communication tools necessary to do their work.

All too often, people communicate together by mobile devices even when they are in the same room (Figure 6.1); the art and skill of face to face conversation is swiftly being eroded, mediated instead through technology.  Internet addiction is now widely recognised as a compulsive-impulsive spectrum disorder (Block, 2008) involving excessive use, withdrawal, tolerance and negative repercussions (see also Cash et al., 2012), with rehabilitation centres being created across the world, from China to the USA, in order to try to help addicted people.

Figure 6.1: Young people communicating at the Hotel International and Terminus, Geneva, 2013

Dehumanisation

Source: Author, 19 May 2013 (taken with permission of all five people shown in the photograph).

One particularly prescient early image of the relationship between humans and technology is Villemard’s depiction in 1910 of how he thought a school might look in 2000, showing books being dropped into a machine that transforms the information, which then passes through electric cables into each pupil’s headsets.  Conceptually, this is not that different from the online learning systems that now increasingly dominate classrooms on both rich and poor countries alike.

Figure 6.2: Villemard’s 1910 image À l’École, depicting how he thought a school might look in 2000.

Villemard

Source: http://expositions.bnf.fr/utopie/grand/3_95b1.htm, accessed 3 August 2016.

In the GSMA’s Mobile World Congress held in Barcelona in February 2014 smartwear was all the rage, and I remember thinking as I walked past Sony’s advertisement for Xperia on the metro platform wall (Figure 6.3) that there were things about my life that I would definitely not want to log, and would certainly not want others to have access to by hacking either my devices or the cloud servers where they might be stored.  Yet countless people have purchased such devices, and regularly have their health data automatically uploaded so that companies can analyse it and generate profits without paying them anything in return.  This is an extreme example of Big Data surplus extraction, because not only do people have to buy the devices in the first place, and sometimes the software, but they also then give the data to the companies for no recompense, and generally receive little back individually that might actually enhance their health.

Figure 6.3: Sony’s poster “Log your life with SmartWear” on the wall of a metro station in Barcelona during Mobile World Congress, 2014

Sony

Source: Author, 28 February 2014

[now time to write the actual section that explores the increasingly interwoven character of machines and humans, especially as ICTs are increasingly being advocated as a way to enhance development]

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If m-learning is the answer, what is the question?


I was very privileged that Adrian Godfrey asked me to say a few words to introduce the session on m-education that the GSMA convened earlier today at the Mobile World Congress in Barcelona.  It was good to be with a fun group of panelists, and I hope that we gave them some food for thought.

So, this is what I said.  It was designed to be provocative, but its intent was to emphasise that there are many different interests in the use of mobile devices for learning, and that if we are going to take advantage of the enormous potential that they can offer for the poorest and most marginalised then we need to recognise these interests, and work together in carefully crafted partnerships to deliver effective learning opportunities.

“If m-learning is the answer, what is the question?
MaasaiLess than two weeks ago, I was in northern Tanzania.  Walking across the dry savannah, I entered the thorned enclosure of a boma, or small village. I was welcomed by the Maasai chief’s son, who engaged me in conversation.  I remembered seeing striking images in the international media around 2007 of Maasai warriors, resplendent in their red, “lion proof” robes, holding mobile ‘phones to their ears, and knowing that I was due to speak a world away, here in Barcelona today, I slowly began to explore the question of mobile telephony.  I should not have done so.  The conversation left me embarrassed and humbled.

As my friends used their smart-phones to take photos, I asked “Does anyone in the village have a mobile phone?”

“No” he said, in his excellent English.

One of my friends asked “Would a mobile ‘phone not be useful to call your friends in other villages?”

“Why?” he responded, “I can walk two or three hours to see them”.

And I admired his life.

Earlier, he had shown me the small hut where young children were learning the alphabet and counting in English. So I gently sought to explore the benefits of mobile learning: “But if you had a smart-phone, could you not use it to get learning resources for your children?”.

He looked bemused. My question meant little to him.  He had asked for chalk and books.

I changed the subject.

Of course, many Maasai – and indeed poor people in rural areas across Africa – do indeed use mobile ‘phones, for a wide range of purposes.  But this brief conversation re-emphasised many of the challenges of mobile-learning, and highlights the importance of the question: “if m-learning is the answer, what is the question”.

Let me therefore tease out just four of these questions here in my opening comments:

If m-learning is the answer, what is the question?
How do we increase our data traffic?”  To me, this is one of the most important questions –  all too often asked behind the closed doors of the luxurious offices of mobile operators – that is answered by the term “m-learning”.  It is nothing to do with education or learning. There is far more data capacity in the world than is currently used.  The arrival of the submarine cables across Africa in recent years has transformed connectivity, and much remains unused.  Mobile networks are expanding rapidly, but again there is insufficient demand for their use. Hence, it is crucial for operators to encourage the development of more services if they are to generate the profits that they seek.  Mobile banking has been one such successful service emanating from Africa; now mobile health services, and mobile-learning are seen as important means of moving beyond the simple data requirements of social media apps.

If m-learning is the answer, what is the question?
“How can we gain external funding from governments and donors so that we can extend our networks?”
The costs of putting networks into low-density rural areas, far from the fibre backbones of most countries, greatly outweigh the likely returns, at least in the short term. It is “uneconomic”.  In many poorer countries of the world, operators have been able to gain lucrative revenue opportunities from those living in the relatively small dense urban areas, and have been able to circumvent requirements to provide universal coverage, that would benefit all citizens. Hence, operators are always seeking to find sources of co-financing that can help them extend their networks into “marginal” areas.  Where they have to pay taxes into Universal Service (or Access) Funds, they naturally want a share back in extending networks.  They need a handle to persuade governments, and indeed donor agencies, to provide resources to enable them to extend their infrastructure. How better than to persuade them that by so doing they will enable all of their citizens to benefit from the opportunities that m-learning has to offer.  “If you will help fund the networks, you can then use them to ensure that every citizen has access to m-learning, alongside m-health and m-gov”.  This makes real sense.  With the drive to deliver the Millennium Development Goals, the thirst by the international donor community to ensure that “their” targets are reached, and the aspirations of “enlightened” governments really to deliver valuable services to their citizens, m-learning really is the answer.

If m-learning is the answer, what is the question?
“What is the best market opportunity for our company?”
  Education is no longer of value largely for its own sake; it is a commodity to be bought and sold; it has become a vibrant market.  Hence, there are considerable profits to be made by everyone in the education industry.  The company could be an app-developer, eager to find the “killer” education-app.  It could be a publisher, eager to extend its sales.  It could be a teaching company (often known as schools), eager to grow the market for the services offered by its teachers.  Academics in research companies (sometimes still known as universities) are eager to compete to gain prestigious research grants to study, or perhaps more usually to “prove”, the potential of m-learning, and fuel this thriving industry. The explosion of mobile telephony, and the expectation that it will soon become ubiquitous opens up vast new possibilities for companies to extend the reach of their educational “solutions”.  We truly can achieve education for all, if only we can ensure that the poorest people can still afford a cheap smartphone, and that we can have universal network coverage.   And that is the point, it is education for all. Unlike “health”, which is mainly for those who are ill, learning is something that everyone “must” do.  It is institutionalised in our education systems, and now we are all encouraged to partake in lifelong learning.  Education is 24 x 7 x 365 x 80 or so, depending on how long we live – the magic multiplier number is 6,384,000 times the number of people in the world! This is a market indeed.

If m-learning is the answer, what is the question?
“How can we reach the most marginalised in our societies, and give them the highest possible quality of learning opportunity?”
  I guess this is the question that most people would have expected me to begin with. Of course m-learning provides a wealth of opportunity for the enlightened, the altruists, those who care about reducing the inequalities that digital technologies otherwise enhance, and hopefully some governments and civil society organisations, who are committed to providing quality learning opportunities for the poorest and most marginalised in our societies – those living in isolated rural areas, street children, people with disabilities.  The ubiquity of networks and devices, their mobility – anywhere, anytime – and their simplicity of use, all make mobile devices – be they phones, tablets or laptops, wonderful platforms for learning.

But we still need to work harder to find what works best. We still need high-quality, locally produced content, and above all we still need teachers trained in ways of using these technologies in the best interests of pupils.  Perhaps mobile devices may even one day free us completely from what many people see as being the shackles of an outmoded school system…”

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Filed under 'phones, Accessibility, Africa, Commonwealth, Development, Education, ICT4D

Contributions to GSMA MWC Ministerial discussion on mobile-learning


It was great to be on Monday’s panel on “Why put ‘mobile’ in education?” hosted by Adrian Godfrey during the GSMA’s Mobile World Congress Ministerial Programme in Barcelona.  Mike Trucano set the panel underway by giving an important keynote on “Education, jobs and national productivity – why mobile education matters”, which was as usual full of down-to-earth sensible suggestions.  I suggested that governments should try cloning him, and each then have one clone to help them implement effective ICT and education initiatives.

Rebecca Walton (British Council) then hosted a panel discussion that also included Carolina Jeux (Telefónica), Chris Penrose (AT&T), and Tarek Shawki (American University, Cairo), asking us each a pre-set question to get the ball rolling.  Mine was “What are the three things that policy makers should know about mobile technologies in education, and what are the three things that governments should do?”.  This is actually much tougher than it might appear – keeping the list down to only three things each!

Here was my response:

Three things policy makers should know about mobile technologies in education:

  • The focus should be on the learning and not on the technology
  • Never ignore the content – far too many initiatives focus on putting equipment into schools or into learners’ hands – but often there is insufficient relevant content – and pupils do not always know how to access this themselves
  • It is essential to provide high quality training for teachers in how to use technologies in the classroom – and particularly mobile devices of all kinds. Keep mobile switched on in classrooms (and beyond)!

Top three things governments should do:

  • Approach mobile learning in a holistic and integrated way – bringing together all relevant ministries – ICTs, energy, education…
  • Focus on the most marginalised.  The market will take care of the majority, and it is the responsibility of states to deliver services for their poorest citizens. Hence, governments must implement programmes to support those living in isolated rural areas, and that will enable people with disabilities to gain the benefits of mobile learning
  • Begin by ensuring that the basic infrastructure is in place – electricity and connectivity (preferably mobile broadband) as far as possible making this universal.

I wonder what your three answers to these questions might be?

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New GSMA publication on how mobiles contribute to economic growth


The GSM Association, together with Deloitte and Cisco have recently published a useful report (.pdf 3.4 MB) on the contribution of mobiles to economic growth, and they intend to run their analysis on an annual basis so as to provide a barometer of change in the industry and its impact.

Some of the key findings of the report include:

  • For a given level of total mobile penetration, a 10% substitution from 2G to 3G penetration increases GDP per capita growth by 0.15% points
  • A doubling of mobile data use leads to an increase in the GDP per capita growth rate of 0.5% points
  • A 10% increase in mobile penetration increases Total Factor Productivity in the long run by 4.2% points

The Appendices provide much more detail about the precise econometric models used, and it is good to see such detail and transparency.  I retain some concerns, though, about the ways in which causality is imputed from what are essentially relationships between economic indicators.  This could be the basis of an interesting dialogue about methodologies for undertaking such research, which I guess would depend heavily on ideological premises!  However, using this as a starting point, it would be interesting to drill down in more detail to ask what factors need to be in place for the economies of particular countries to follow the general observations noted.  From my perspective, we need to learn more about what some of the poorest countries and peoples can do to ensure that they too benefit.  In other words, we need to disaggregate the data, and understand in detail about the wider governance structures, infrastructure and social conditions that need to be in place to enable growth.  That is, of course, if economic growth is of prime concern!

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