If there is to be a coming digital development paradigm, on what technologies will it be based?
Mobile, broadband, and mobile broadband (hence smartphones and tablets) will be a key foundation for the digital development paradigm. They are already present or rapidly diffusing in developing countries.
As these diffuse, cloud, social media and other Web 2.0 applications necessary for digital platforms will become dominant. The highest growth rates for cloud are already in the global South. Social media is already dominated by the global South: by 2016 North America and Europe made up just 26% of global social network users, with 52% in Asia (including Oceania), 13% in Central/South America, and 9% in the Middle East and Africa.
Looking further ahead, of technologies likely to have a significant impact on development, the Internet of things is a main contender: the online connectivity of increasing numbers of objects. The main growth area – 50 billion devices predicted by 2020 – is seen to be two types of connection. First, stand-alone sensors – for example providing agricultural readings from fields, or medical readings from health centres. Second, sensors integrated into mainstream objects from cars and refrigerators to toilets and shoes.
All these applications become smart when they move from a passive ability to collect and transmit data to an active ability to take a decision and action on the basis of that data: smart irrigation systems that automatically water dry crops; smart electricity grids that automatically isolate and re-route around transmission failures. Even more than cloud, smart systems bring significant potential to increase efficiency and effectiveness of infrastructure and business, alongside significant potential to increase dependency and vulnerabilities to cybercrime and surveillance.
Digital ICTs have already moved us along the time dimension to a world of 24/7 everywhen connectivity (see Figure 1). Thanks to telecommunications advances, anywhere can now be connected, and we are slowly erasing the blank spaces on the digital map and moving towards everywhere being connected. In terms of nodes, pretty well anyone and anything could now be connected thanks to ubiquitous computing. There is still a very long way to go but within a generation almost everyone will be connected, and we will be steadily moving closer to everything being connected thus vastly multiplying the number of “points of potential control, resistance, and contestation”.
Figure 1: The Growing Domain of Digital Connectivity
We can therefore think of three generations of technological infrastructure for digital development (see Figure 2). The first, already well-rooted, is based largely around mobile devices. The second, currently emerging, is based around digital platforms and the Internet including Web 2.0 applications. The third, currently nascent, will be based around a ubiquitous computing model of sensors, embedded processing and near-universal connectivity, and widespread use of smart applications.
Figure 2: The Generations of Digital Infrastructure for Development
Digital development is the subject of a Development Informatics working paper: “Examining “Digital Development”: The Shape of Things to Come?”, and is the topic for other blog entries.Follow @CDIManchester
 UNCSTD (2013) Issues Paper on ICTs for Inclusive Social and Economic Development, UN Commission on Science Technology and Development, Geneva
 UNCSTD (ibid.)
 p24 of Deibert, R. & Rohozinski, R. (2012) Contesting cyberspace and the coming crisis of authority, in: Access Contested: Security, Identity, and Resistance in Asian Cyberspace, Deibert, R.J., Palfrey, J.G., Rohozinski, R. & Zittrain, J. (eds), MIT Press, Cambridge, MA, 21-41
Taking a longer-term view, the relationship between digital ICTs and international development can be divided into three paradigms – “pre-digital”, “ICT4D”, and “digital development” – that rise and fall over time (see Figure below).
Changing Paradigms of ICTs and Development
The pre-digital paradigm dominated from the mid-1940s to mid-1990s, and conceptualised a separation between digital ICTs and development. During this period, digital ICTs were increasingly available but they were initially ignored by the development mainstream. When, later, digital technologies began to diffuse into developing countries, they were still isolated from the development mainstream. ICTs were used to support the internal processes of large public and private organisations, or to create elite IT sector jobs in a few countries. But they did not touch the lives of the great majority of those living in the global South.
The ICT4D paradigm has emerged since the mid-1990s, and conceptualised digital ICTs as a useful tool for development. The paradigm arose because of the rough synchrony between general availability of the Internet – a tool in search of purposes, and the Millennium Development Goals – a purpose in search of tools. ICTs were initially idolised as the tool for delivery of development but later began to be integrated more into development plans and projects as a tool for delivery of development.
The isolationism of the pre-digital paradigm remains present: we still find policy content and policy structures that segregate ICTs. But integrationism is progressing, mainstreaming ICTs as a tool to achieve the various development goals. From the development side, we see this expressed in national policy portfolios, in Poverty Reduction Strategy Papers, in UN Development Assistance Frameworks. From the ICT side, we see this expressed in national ICT policies and World Summit on the Information Society action lines.
The ICT4D paradigm is currently dominant and will be for some years to come. Yet just at the moment when it is starting to be widely adopted within national and international development systems, a new form is hoving into view: a digital development paradigm which conceptualises ICT not as one tool among many that enables particular aspects of development, but as the platform that increasingly mediates development.
This is the subject of a Development Informatics working paper: “Examining “Digital Development”: The Shape of Things to Come?”, and will be the topic for future blog entries.Follow @CDIManchester
As a term, “ICT4D” is a strong and generally positive force. It acts as a magnet to aggregate knowledge and practice. It provides a clear and unambiguous tag for searches and material and events. The “4D” component provides a purpose for activity. Without it, we would lose more than we gain.
There was the well-meaning but ultimately-disadvantageous attempt to supplant it with “ICTD”, and there has been its fractionation as the field has grown into “M4D”, “HCI4D”, “ICT4E”, etc. Now there’s the faint whiff of a new(ish) kid on the block: “digital development”.
At the turn of the century, “digital development” showed signs of becoming the chosen term for application of ICTs to development, before ICT4D nipped in from 2001 to squeeze it out. It had a moment in the sun during the 2000s when it was used to help explain the digital divide. And now it has received some recent resuscitation. In 2014, UNCSTD commissioned a report on Digital Development, and USAID set up a Digital Development team as part of its Global Development Lab. In 2015, the widely-cited “Principles for Digital Development” were launched. In 2016, it got a cluster of mentions in the World Development Report, “Digital Dividends”.
As a term, “digital development” has plenty going against it: it’s generically ambiguous (searches bring up material on development of fingers and toes); it’s specifically ambiguous (searches bring up material on development of digital devices, or child development of digital technology capabilities); it doesn’t offer a snappy tag or signal; it has no inherent purpose. Personally, I think it better we badge this “ICT4D 3.0” given the many benefits of the ICT4D label. (Actually, “ICT4D 2.0” would be better still but I already jumped the gun on that one back in 2009.)
Nonetheless, “digital development” is a term with a bit of momentum behind it, and also a sense from recent entrants to the field – admittedly only gleaned from conversations at the WDR2016 London launch – that it is somehow new, and different from ICT4D. So, at the Centre for Development Informatics, we decided to run with that and see where it got us: holding a brown-bag lunch at which everyone was asked to assume there is some kind of phase change from ICT4D to Digital Development and, given that, to give examples or indicators of that change.
Our summary of the phase change differences is shown in the table below. A blog is not the place to provide a detailed explanation of the content, but I’ll note some main features:
- Our bumper slogan was that digital technologies are a tool for development under ICT4D, but wiil be the platform and medium for development under Digital Development.
- Digital Development both informs and is informed by a wider sense of phase change from “international development” to “global development” (discussed at a different brown-bag event of which more, perhaps, anon). One particular aspect of this – still a matter of much debate – is that development becomes a universal process, not one restricted to developing countries; a changing geography also seen within the shift in content from MDGs to SDGs.
- It seeks to incorporate earlier ideas like “Development 2.0” (seen as exemplifying some of the new development models of a Digital Development era) and “ICT4D 2.0” (seen as the innovation worldview that underpins Digital Development).
- It draws significantly from existing ideas on the network society and internet studies, and seeks to incorporate them into the global development domain. That intersection of digital and development is where most work still needs to be done. Castells & Himanen recently had a stab at this but it remains a work in progress. Alongside research into, and examples of, all the elements in the right-hand column, thinking about the digital/development intersection therefore forms the main agenda to take forward.
|Development||Development goals||MDGs||SDGs (Inclusion, Sustainability, Transformation)|
|Nature of development||International Development (global South)||Global Development (universal)|
|Technology||Infrastructure||Partial (individually-connected ICTs; global North dominant presence)||Ubiquitous (cloud-based “digital nervous system” of converged ICTs; global South dominant presence)|
|Key technologies||PC, internet, mobile phone||Smartphone, broadband, sensor, 3D printer|
|Focus||Conspicuous artefacts, devices||Data, information (artefacts become unobtrusive, tacit in life)|
|Development Application||Development role||Tool for development||Platform and medium for development|
|Development models||“Development 1.0”: digitising and improving existing development processes
|“Development 2.0”: redesigning development processes and systems (users as digital producers, the power of the crowd, digital participation, network structures, data-intensive development, and open development)|
|“Intensive development” and discrete digital economy||“Extensive development” and pervasive digital economy|
|Innovation model||“ICT4D 1.0”: inclusive pro-poor (laboratory), semi-closed, linear||“ICT4D 2.0”: inclusive para-poor/per-poor (participative, grassroots), semi-open, agile & iterative|
|Development Systems||Development geography||Places and nodes||Spaces, hybrid places, relations, and flows (breakdown of time/space barriers)|
|Development structures||Linearity: hierarchies and chains||Complexity: multi-scalar, interconnected (but still hierarchical) networks and ecosystems|
|Networks: local, national; simple and loose-connected; physical||Networks: transnational, global; complex and inter-connected; physical and virtual|
|Generic impacts: stability, development||Generic impacts: volatility, ripple of shocks, uncertainty, precariousness, potential regression|
|Development processes||Human (decisions & actions)||Smart (algorithmic decision-making; automated action)|
|Development logics||Closed-dominant||Form (models/structures) and practices (processes) change but still closed-dominant|
|Development Agency||Capabilities||Digital immigrant||Digital native|
|Technology usage||Partial, intermittent||Digital immersion|
|From physical collective to individual use (introspection)||From individual to virtual collective use (performance)|
|Development Impacts||Economic development||Enhanced capitalism||Frictionless capitalism|
|Political development||Accelerated liberalism||Accelerated pluralism|
|Impacts worldview||Positive||Positive and negative|
|Development Policy||Policy structures||Feudal: partly-mainstreamed (cells within sectoral silos)||Federal: fully-mainstreamed (foundation to all sectoral policy/strategy) & sidestreamed (cross-cutting coherence)|
|Development issues||Inclusion: digital divide (absolute exclusion)||Inclusion: network position (relative exclusion and adverse inclusion)|
|Sustainability: of ICT4D projects||Sustainability: of development; resilience|
|Transformation: only digitisation and improvement as potential impacts||Transformation: redesign and transformation as potential impacts|
|Value chain focus||Readiness to Uptake as constraints to positive impacts||Impact: positive and negative|
|Development Informatics Research||Research issues||Incremental impacts: digitisation and improvement of traditional development||Disruptive impacts: redesign and transformation, including digital economy and digital politics|
|Readiness and adoption||Political economy and digital harm|
|Technology and context||Agency, institutions, and structural relations|
|Conceptual models||Traditional disciplinary conceptions||Network models, complex adaptive systems|
|Digital divide models||Political economy models|
|Technology acceptance model||Institutional logics|
My thanks to all CDI colleagues (MSc ICT4D students, PhD researchers, and staff) who contributed at and after the brown-bag lunch, and without whom there would be no table.Follow @CDIManchester
Now the Sustainable Development Goals are with us, what are the implications for ICT4D? A recent discussion held by members of the Centre for Development Informatics gave some pointers.
The MDGs have run their course, achieving a mixed bag of success. The post-2015 Sustainable Development Goals (SDGs) – an ambitious set of 17 goals and 169 targets – take over the proverbial baton in the global race towards achieving, what has been described as “the world we want”. There are criticisms of the efficacy of these types of goals and the processes by which they are derived. But they provide a starting point and framework around which actors with varied mandates can gather. Indeed, the SDGs have already begun to shape the development discourse, development models and development funding mechanisms.
The discussion was initially motivated by a blog post from Tim Unwin where he critiques the limited role of ICTs within the SDGs. While several discussants sympathised with many of the points raised in Unwin’s article, others took an alternate view. Too great a presence for ICTs could risk re-kindling the ICT4D hype-cycles that generated unrealistic expectations in the 1990s and early 2000s. If the telecentre age taught us anything, it is that overemphasising the ability of ICTs to generate development outcomes is counterproductive for developing communities, as well as for donor and ICT communities.
Others argued that the low profile for ICTs was encouraging because it reflected the times in which the SDGs were written: a recognition of the embeddedness and pervasiveness of ICTs within a progressively digital society. Consequently, not only are ICTs now seen as instrumental, they have become a platform through which development activities are increasingly mediated. For instance, even if not explicitly mentioned, it is impossible to conceive effective environmental monitoring that does not involve sensors, satellite imaging, and a solid infrastructure to handle the data generated. Additionally, ICTs are now raising development issues of their very own: digital identities, digital exclusion, privacy and security come to mind.
Another theme we tackled was the relationship between the SDGs and ICT4D research. The questions considered included: “Do we obtain our research agenda from the SDGs or from what we see happening in the world of ICTs? Should the engagement of the ICT4D academic community with our peers in policy and practice be informed by the SDGs?”.
There was consensus that, while the SDGs might not necessarily drive ICT4D research agendas, they can provide a vehicle and language through which we can make more explicit linkages between our research and the development issues of our day. Developmental progress is often seen to result from changes in behaviour. Identifying and fostering the factors that cause or inhibit behavioural change are, therefore, integral to development planning and policy-making. ICT4D researchers can improve the support we offer to policy, practitioner and entrepreneurial colleagues by providing better evidence of how ICTs impact behavioural changes that are aligned with the realisation of the SDGs. Therefore, we discussed the need for ICT4D researchers to become more adept at discerning issues of causality around human behaviour and ICTs.
As researchers motivated by global inequality and pressing social concerns, we felt our work should not just focus on addressing knowledge gaps but development gaps. Here, the SDGs provide guidance. Case in point, Goal 13 calls for urgent action against climate change and its impacts and a recent survey of ICT4D research identified significant gaps in our knowledge about ICTs, the environment and climate change. So, if you have a particular concern for the environment (perhaps we all should?) and are keen on starting a PhD, this might be an area on which to focus.
The example above highlights bigger questions about the relationship between knowledge gaps and development priorities and how knowledge gaps around particular development priorities, such as climate change, have remained scarcely addressed within our field. On this theme, we focused on how the SDGs can be used to bridge these gaps and priorities. One practical approach for academics and anyone interested in addressing development priorities within the ICT4D space – practitioner, policy maker, entrepreneur or combination – is to use the SDGs as a stepping stone to find that unique point where the wider social concerns of development, our desire to make a difference (personal actualisation), and sustainable mechanisms (through business, NGO, public agency, etc) intersect.
On Addressing Development Priorities through ICT4D
These are just a few ideas. We are curious to hear what others have to say and welcome your thoughts in the comments section below.
Written by Ritse Erumi, Juan Gomez and Ryo Seo-Zindy (CDI PhD Researchers)Follow @CDIManchester
What should we call the growing presence of data in international development?
That’s a question I posed on the ICT4D Facebook group.
Though #datarev is a popular hashtag, “data revolution …” did not arise, and just as well – it is naive hyperbole to suggest data is going to transform development structures.
The proposed terms fall into four orientation categories.
1. Goal-oriented terms. The main one here is “data for development” which is admirable in focusing on the purpose of the data, and in offering a ready-made acronym – D4D – which I’ve talked about earlier. It’s moderately-popular, partly thanks to Orange’s D4D Challenge, and has a nice continuity with ICT4D. The term is new, but the main problem is its failure to reflect the changing role of data in development – data has always been used for development purposes.
2. Facilitation-oriented terms, especially “data-enabled development” (DED) (data-facilitated, data-catalysed as synonyms). This has the same problem as D4D: per se, the term gives no sense of the change that has occurred. And DED has no presence in the field as a term.
3. Impetus-oriented terms, especially “data-driven development” (DDD) (data-centric as a synonym). This has some presence in the field, though less so than D4D, with – for example – a World Economic Forum group and report on DDD, and the Global Partnership for Sustainable Development Data having some commitment to the term. I’m guessing this will become more widely-adopted – “data-driven” already has Wikipedia entries for equivalents such as data-driven journalism. However, it rings many alarm bells in placing too much deterministic emphasis on data as an agent in development – put simply, people not data drive development.
4. Change-oriented terms, especially “data-intensive development” (DID) (data-rich as a synonym). The great thing about this term is that it explains what is new and different – that data is playing a greater role in development decisions and processes – without so-much falling into traps of determinism and value judgement. I think “data-intensive development” is the most appropriate of the terms on offer. As yet it is little-used, so the only way is up . . .
If you’ve got a better suggestion, you’re welcome to say what it is and why it’s better.Follow @CDIManchester
The UN Secretary General’s Synthesis Report on the Post-2015 Agenda was released on 4th December. It’s just one document but could be bellwether of future development priorities.
It represents the culmination of a historical trajectory in the relative presence of “ICT” vs “data” in the development discourse. As discussed in a more detailed post-2015 vs. MDG agenda analysis, ICTs outpolled data at the turn of the century in the Millennium Development Goals. In early post-2015 development agenda documents, this reversed – data was mentioned three times more than ICTs. In the Synthesis Report, the ratio is close to 10:1. Data is mentioned 39 times; ICT just four times.
What would it mean if data replaces ICTs as the core focus for informatics in international development?
For many years there have been concerns about the techno-centricity of ICT4D: the assumption that technology, alone, can be sufficient to generate development; and the failure to recognise the wider contextual factors that govern the impacts of technology. Moving to a data-centric view helps a bit: it moves us to think about the stuff that technology handles, rather than the technology per se.
But it doesn’t help a lot. As Information Systems 101 teaches, it is information, not data, that has value and adds value. And a data-centric view is not inherently better than a techno-centric one at recognising the importance of context. For both these reasons, as I’ve discussed earlier in this blog, it looks like many “data-for-development (D4D)” initiatives to date are stuck at the very first upstream step of the process – they produce data but only rarely produce results.
For the academic community working in the sub-discipline of development informatics, a relative shift from ICT4D to D4D will mean a requirement for new research focus and skills. At the least, we will need to add new research projects and research competencies around data and decision sciences. At the most, these might partly replace – at least in relative weight – technical computing activities and capabilities.
That reorientation will certainly be true of the practitioner community, leading to demand for new postgraduates programmes – MSc Data for Development and the like. Just as with ICT4D, there will be a key role for practitioner hybrids – those with the ability to bridge between the world of data and the world of development – and a need for training programmes to help develop such roles. Arguably the most valuable role – to some extent trailled in my work on ICT4D 2.0 – will be the development informatics “tribrid”, that bridges the three worlds of ICT, data systems, and development.
The existing academic wateringholes and channels of development informatics will need to respond. In particular, the main ICT4D conferences and journals will need to decide whether to make a clear and strong extension of their remit into D4D. Mark Graham and I have made a first step with the 2015 IFIP WG9.4 conference in Sri Lanka; adding a “Data Revolution in International Development” track. This is an example of academic tribridisation: ensuring technology, data and development are covered in one place. It will be interesting to see what the ICTD conference series, and the main journals, do about the coming D4D wave and whether they also tribridise.
Some of the policy and practice wateringholes have already responded. One well-placed convocation is the World Telecommunication / ICT Indicators Symposium. This has, for some time, covered data, ICT and development and could grow to become a key tribrid location. More important but more difficult will be whether the WSIS follow-up process can do the same. As previously analysed, and unless it takes some decisive action, WSIS runs the risk of seeing the data-for-development bandwagon roll past it.
There are no doubt other implications of the limelight shifting from ICT4D to D4D: do add your own thoughts. These implications include value judgements. Data is not the same as technology, and the international development agenda risks taking its eye off ICT just at the moment when a digital development paradigm is emerging; a moment when ICT moves from being a tool for development to the platform for development.
Without a better connection between D4D and ICT4D we also risk losing all the lessons of the latter for the former, and turning the clock back to zero for those now entering the development informatics field riding in the data caravan. It is the privilege of those new to a field to believe they are reinventing the world. It is the burden of those experienced in a field to know they are not.Follow @CDIManchester
 “Informatics” is the complex of data, information, knowledge, information systems, and information and communication technologies.
What should be the future priorities for ICT4D policy and practice? And what should guide the World Summit on the Information Society process – the global node for ICT4D policy and practice – beyond 2015?
The post-2015 development agenda will be the single most-important force shaping the future of international development and, hence, the single most-important force shaping the future of ICT4D.
In previous blog entries, I have discussed: the process by which the post-2015 agenda is being created; its importance; its content; and the way in which it reflects changing trends and priorities in international development.
In this entry, I summarise the findings from a recent working paper: “ICT4D 2016: New Priorities for ICT4D Policy, Practice and WSIS in a Post-2015 World”. This presents results from a content analysis exercise which compared the content of the post-2015 development agenda against the content of nearly 1,000 pages of ICT4D-related text gathered from WSIS+10 review and vision activities.
The basic comparison is shown in the figure below. It provides a measure of “ICT4D gap” by plotting the extent of difference between the post-2015 text and the WSIS+10 documentation; aggregated into a set of development issues. Issues above the line are more highly represented in ICT4D than in the post-2015 agenda; issues below the line are less highly represented. The larger the indicator the greater the over- or under-representation.
Figure 1: Measure of “ICT4D Gap” Between ICT4D Policy/Practice and Post-2015 Agenda
This chart plus a whole set of other analytical data (see online paper for details) produce the ICT4D priority map shown below. Laterally, it sorts issues in terms of their relation to development. Mainly by type of goals – environmental, economic, social, political, or cross-cutting – but also including development mechanisms, of which ICT itself is one.
Figure 2: Map of Post-2015 ICT4D Priorities
Vertically, it sorts issues in terms of gap. The higher up the diagram a topic appears, the greater the gap between its presence on the post-2015 agenda and its presence in current ICT4D policy/practice as exemplified by WSIS. The larger the gap, the greater the need for additional attention to be paid to that topic. Put another way: in reshaping future WSIS priorities specifically and ICT4D priorities more broadly, there is a logic in starting at the top of the figure.
Further details about the topics identified in the map can be found in the online paper.Follow @CDIManchester