Archive

Posts Tagged ‘Development 2.0’

Data Justice for Development

13 October 2016 Leave a comment

What would “data justice for development” mean?  This is a topic of increasing interest.  It sits at the intersection of greater use of justice in development theory, and greater use of data in development practice.  Until recently, very little had been written about it but this has been addressed via a recent Centre for Development Informatics working paper: “Data Justice For Development: What Would It Mean?” and linked presentation / podcast.

Why concern ourselves with data justice in development?  Primarily because there are data injustices that require a response: governments hacking data on political opponents; mobile phone records being released without consent; communities unable to access data on how development funds are being spent.

But to understand what data justice means, we have to return to foundational ideas on ethics, rights and justice.  These identify three different mainstream perspectives on data justice:

  • Instrumental data justice, meaning fair use of data. This argues there is no notion of justice inherent to data ownership or handling.  Instead what matters is the purposes for which data is used.
  • Procedural data justice, meaning fair handling of data. This argues that citizens must give consent to the way in which data about them is processed.
  • Distributive data justice, meaning fair distribution of data. This could directly relate to the issue of who has what data, or could be interpreted in terms of rights-based data justice, relating to rights of data privacy, access, control, and inclusion / representation.

We can use these perspectives to understand the way data is used in development.  But we also need to take account of two key criticisms of these mainstream views.  First, that they pay too little attention to agency and practice including individual differences and choices and the role of individuals as data users rather than just data producers.  Second, that they pay too little attention to social structure, when it is social structure that at least partly determines issues such as the maldistribution of data in the global South, and the fact that data systems in developing countries benefit some and not others.

To properly understand what data justice for development means, then, we need a theory of data justice that goes beyond the mainstream views to more clearly include both structure and agency.

The working paper proposes three possible approaches, each of which provides a pathway for future research on data-intensive development; albeit the current ideas are stronger on the “data justice” than the “for development” component:

  • Cosmopolitan ideas such as Iris Marion Young’s social connection model of justice could link data justice to the social position of individuals within networks of relations.
  • Critical data studies is a formative field that could readily be developed through structural models of the political economy of data (e.g. “data assemblages”) combined with a critical modernist sensitivity that incorporates a network view of power-in-practice.
  • Capability theory that might be able to encompass all views on data justice within a single overarching framework.

Alongside this conceptual agenda could be an action agenda; perhaps a Data-Justice-for-Development Manifesto that would:

  1. Demand just and legal uses of development data.
  2. Demand data consent of citizens that is truly informed.
  3. Build upstream and downstream data-related capabilities among those who lack them in developing countries.
  4. Promote rights of data access, data privacy, data ownership and data representation.
  5. Support “small data” uses by individuals and communities in developing countries.
  6. Advocate sustainable use of data and data systems.
  7. Create a social movement for the “data subalterns” of the global South.
  8. Stimulate an alternative discourse around data-intensive development that places issues of justice at its heart.
  9. Develop new organisational forms such as data-intensive development cooperatives.
  10. Lobby for new data justice-based laws and policies in developing countries (including action on data monopolies).
  11. Open up, challenge and provide alternatives to the data-related technical structures (code, algorithms, standards, etc) that increasingly control international development.

A Research Agenda for Data-Intensive Development

18 July 2016 1 comment

In practice, there is a growing role for data within international development: what we can call “data-intensive development”.  But what should be the research agenda for this emerging phenomenon?

On 12th July 2016, a group of 40 researchers and practitioners gathered in Manchester at the workshop on “Big and Open Data for Development”, organised by the Centre for Development Informatics.  Identifying a research agenda was a main purpose for the workshop; particularly looking for commonalities that avoid fractionating our field by data type: big data vs. open data vs. real-time data vs. geo-located data, etc; each in its own little silo.

IMG_0828

A key challenge for data-intensive development research is locating the “window of relevance”.  Focus too far back on the curve of technical change – largely determined in the Western private sector – and you may fail to gain attention and interest in your research.  Focus too far forward and you may find there no actual examples in developing countries that you can research.

In 2014 and 2015, we had two failed attempts to organise conference tracks on data-and-development; each generating just a couple of papers.  By contrast, the 2016 workshop received two dozen submissions; too many to accommodate but suggesting a critical mass of research is finally starting to appear.

It is still early days – the reports from practice still give a strong sense of data struggling to find development purposes; development purposes struggling to find data.  But the workshop provided enough foundational ideas, emergent issues, and reports-back from pilot initiatives to show we are putting the basic building blocks of a research domain in place.

But where next?  Through a mix of day-long placing of Post-It notes on walls, presentation responses, and a set of group then plenary discussions[1], we identified a set of future research priorities, as shown below and also here as PDF.

DID Research Agenda

 

 

The agenda divided into four sub-domains:

  • Describing/Defining: working out the basic boundaries, contours and contents of the data-intensive development domain.
  • Practising: measuring and learning from the practice of data-intensive development.
  • Analysing: evaluating the impact of data-intensive development through various analytical lenses.
  • Resisting: guiding practical actions to challenge potential state and corporate data hegemony in developing countries.

Given the size and eclectic mix of the group, many different research interests were expressed.  But two came up much more than others.

First, power, politics and data-intensive development: analysing the power structures that shape DID initiatives, and that are inscribed into data systems; analysing the way in which DID produces and reproduces power; analysing what resistance to data hegemony would mean.

Second, justice, ethics, rights and data-intensive development: determining what a social justice perspective on DID would mean; analysing what DID can contribute to rights-based development; understanding how ethical principles would guide civil society interventions for better DID.

We hope, as a research community, to take these and other agenda items forward.  If you would like to join us, please sign up with the LinkedIn group on “Data-Intensive Development”.

 

[1] My thanks to Jaco Renken for collating these.

Network Geography and Global Development: Dependency Redux?

6 June 2016 1 comment

The SDGs can be taken as a marker of transition from international development to global development worldviews.  Among other aspects of global development is a universalisation of development: development is everywhere; not just associated with the global South.  What does this mean for the geography of development?

One response would be to retain a physical, spatial approach to geography, but to move on from the old bipolarity of developed vs. developing; North vs. South.  Alongside moving upward to the global, this would move downward to the local; for example to regions, cities, “pockets of poverty” and the like[i].

An alternative would be to move to a network geography of development.  Social networks and transportation links mean networks have always been fundamental to development.  But telecommunication links – particularly digital links during the 21st century – have significantly accelerated the presence and salience and complexity of networks in development.  These exist as physical networks (such as physical infrastructure grids), virtual networks (such as online communities of practice) and most often as hybrid networks (such as supply chains and their parallel digital representations), so a network geography combines the physical and non-physical.  The explosive growth of networks in development demands greater use of network-based conceptualisations, including network geographies[ii].

Three main geographies can be applied to understand these networks.  First, a processual geography that focuses on the flows between nodes in the network (e.g. flows of aid between networks of development NGOs[iii]).  Second, a structural geography that focuses on the shape of the network (e.g. the impact of different network structures on water governance in Costa Rica[iv]).  Third, a relational geography that combines aspects of both flow and shape (e.g. the resource networks drawn on by development champions[v]).

Conceptualisation of these network geographies has come from a number of sources[vi].  Examples include social capital drawing from new institutional economics, global production networks drawing from economic geography, networked governance drawing from political science, embeddedness drawing from new economic sociology, and complex adaptive systems drawing from complexity theory.

However, if the spatial geography of old is to be supplanted, it will be by a new spatial geography; one that replaces position in the physical world with position in the network (physical, virtual, hybrid).  The positional network geography of development has often used the binary of being either inside or outside the network (e.g. Castells’ notion of the excluded “Fourth World”, or conceptions of the digital divide).  More sophisticated versions have added the category of “have lesses” between the “haves” and the “have nots”; those who are within the network but at the periphery.  Given, at least for digital networks, the dwindling numbers who are truly excluded, this is a more appropriate conceptualisation.  The positional geography of development thus becomes a geography of network position: distinguishing those actors at the core of the network from those at the periphery who are marginal and precarious.

While this might be an idea suitable for the 21st century nature of global development, it has earlier origins.  It sounds very similar to dependency theory, with its ideas of core and periphery.  Though long out of favour, this could provide one approach to a positional network geography of development; a revival supported by some in development studies[vii].

Aspects of dependency theory relevant to a wider network geography of development include:

  • Moving beyond the simple binary of core/periphery to world systems theory’s core/semi-periphery/periphery; or even to the idea of a spectrum of network positions.
  • Associating network position with differentiated roles vis-a-vis the production and capture of value, and with differentiated flows and ownership of resources.
  • Recognising the reproduction of network position through power; particularly the power of innovation, knowledge and technology.

A positional network geography of development would need to move away from dependency’s nation-state-centric approach, recognising many other units of analysis; and it would need to recognise the (constrained) potential for mobility of network position.  Work on global production networks has taken some of these ideas and demonstrated their relevance to another unit of analysis, but this needs to be extended to all forms of networks; not just global but regional and local; not just productive but political and social.  Indeed, one would need to recognise that any development actor lies not within a single network but within multiple networks; potentially with somewhat different positions in each.  These would include locally-embedded as well as disembedded networks.

Further developments needed include:

  • Recognition of the relational, institutional and cognitive/symbolic sources of power within the network; and the potential for network-specific conceptions of power[viii].
  • Recognition of the role played by the new technologies that increasingly mediate, enable and constrain the networks of global development; requiring some socio-materiality to be incorporated[ix].
  • Recognition of the increasing potential for quantification of positionality via social network analysis; a tool which can add absent methodological rigour[x].

 

[i] Horner, R. (2016) Unpacking the emergence of global development, unpublished draft

[ii] Bebbington, A. & Kothari, U. (2006) Transnational development networks, Environment and Planning A, 38(5), 849-866

[iii] Bebbington, A. (2004) NGOs and uneven development, Progress in Human Geography, 28(6), 725-745

[iv] Kuzdas, C., Wiek, A., Warner, B., Vignola, R., & Morataya, R. (2015) Integrated and participatory analysis of water governance regimes, World Development, 66, 254-268

[v] Renken, J. & Heeks, R. (2013) Conceptualising ICT4D project champions, paper presented at ICTD2013, Cape Town, 7-10 Dec

[vi] Heeks, R. & Renken, J. (2015) Investigating the potential of social network analysis in development studies, paper presented at DSA 2015 conference, Bath, 7-8 Sep

[vii] E.g. Fischer, A.M. (2015) The end of peripheries? On the enduring relevance of structuralism for understanding contemporary global development, Development and Change, 46(4), 700-732

[viii] E.g. Castells, M. (2011). A network theory of power, International Journal of Communication, 5, 773-787

[ix] E.g. Contractor, N., Monge, P. & Leonardi, P.M. (2011) Multidimensional networks and the dynamics of sociomateriality: bringing technology inside the network, International Journal of Communication, 5, 682-720

[x] Heeks, R. & Renken, J. (2015) Investigating the potential of social network analysis in development studies, paper presented at DSA 2015 conference, Bath, 7-8 Sep

Open vs. Closed Institutional Logics in Open Development Projects

“Open development” is a concept with some momentum in the ICT4D field, encouraged particularly by support from IDRC[1].  A core challenge has been theorisation of open development, and here I briefly propose and test the idea that institutional logics can offer such a foundation.

As noted in an earlier blog entry, “institutional logics are broad social forces with both material and symbolic elements that shape the way we think and act.  Religion, family, state, and market are typical logics but running through digital development is a conflict between two other logics:

  • Open logic: a cooperative logic that values openly-accessible inputs, participative and collaborative processes, and shared distribution of benefits.
  • Closed logic: a competitive or controlling logic that values restriction of inputs, processes and benefits to particular individuals or groups.”

We can understand these ideas better by applying them to a real open development ICT4D case; selecting here the iDART system – open source software developed in South Africa by Cell-Life to help pharmacists dispense anti-retroviral drugs to those with HIV/AIDS.  The case has been written up by Melissa Loudon and Ulrike Rivett[2], and is here reinterpreted through a logics lens.

Cell-Life originated as an inter-university collaboration in Cape Town and, as such, has been heavily influenced by the institutional logics that operate within academic organisations.  Universities can be understood as sites of conflict between open and closed institutional logics; with the latter traditionally dominant but the former finding voice.

Examples of the constitution of the two institutional logics and their material (resources, processes, structures) and symbolic (culture) elements are shown in the table below, drawn from the case study[3].

  Open Logic Closed Logic
Resources Open source technologies

 

Freely-accessible data and content

Proprietary technologies

 

Restricted data and content

Processes Inclusive production of knowledge and technology

 

Student-centred learning

Exclusive production of knowledge and technology

 

Didactic teaching

Structures Unbounded peer-to-peer, multi-disciplinary networks Mono-disciplinary silos
Culture Universities seen as learning and action research environments

 

Academics seen as facilitators

Universities seen as ivory tower storehouses of knowledge

 

Academics seen as experts

 

With Cell-Life an enclave of open logic within a wider context of closed logic, conflict between the two logics was inevitable.  Examples include:

  • System development processes: system developers with a background of closed processes encountered with some difficulty very different open logic imperatives within the project.
  • Intellectual property rights: the university’s approach to software – proprietary IP that would be commercialised to the benefit of the university – conflicted with the open source approach underpinning Cell-Life’s work.
  • Software market: direct rivalry occurred between open-source iDART software and competing proprietary pharmacy management software.

There were also conflicts over the closed focus on disciplinary silos vs. the open logic of multi-disciplinary action research.

When organisational logics conflict, there are a number of potential outcomes including “decoupling”, “compromise”, and “selective coupling”[4].  In this case, two main outcomes were seen:

  1. Compromise: a hybrid approach that combines aspects of both open and closed logics. System development processes were neither completely open nor closed, but a mix of the two.  Users were involved through feedback on prototypes but the Cell-Life team retained control over the development process, often acting as proxies for users and acting as overall custodians of the system.  Some but not all user revision requests were incorporated.
  2. Protected Niche: Cell-Life created a protected niche of open logic, with barriers created against closed logic. After five years within the university system, Cell-Life was spun-off as a non-profit entity, thus increasing the structural barriers and distance to the dominant closed logic of the university system.  The software itself was developed to focus particularly on low-resource, rural pharmacies; a market niche not targeted by closed-logic-based commercial vendors.

What can we conclude?

First, that the idea of open vs. closed institutional logics is applicable to open development projects.  Institutional logics offers a new language; a new way to describe and explain what has happened on the project.  From this brief analysis, it’s not clear what new insights it provides beyond this; but that may be the nature of this post-hoc, external reinterpretation.  There is certainly a case for pre-hoc application of institutional logics – definitely, to analyse open development; likely, to analyse ICT4D more broadly – to help describe the outcome of conflicting logics; to explain when one logic dominates another; to understand how to deal with conflicting logics in practice; and to identify the role of open development/ICT4D champions as institutional entrepreneurs.

Second, and assuming we could generalise the idea of conflict between open and closed logics, this suggests that achieving true “open development” may be very difficult: there will always be pressure to hybridise.  But not only might fully-open development be unfeasible, it might also be undesirable.  Indeed, both extremes might be undesirable: closed development because it leads to inequality and exclusion, open development because it leads to disincentives to action and potentially-ineffective or chaotic outcomes[5].

One can see the latter in the case study, which restricts the openness of processes not only because of the pressures of closed logic, but also for reasons of project effectiveness and efficiency.  The evidence base here is just preliminary, but could suggest – assuming most development systems lean further to the closed than open end of the spectrum – that the objective should be “more-open development” rather than “fully-open development”.

[1] Reilly, K.M.A. & McMahon, R. (2015) Quality of Openness, IDRC, Ottawa

[2] Loudon, M. & Rivett, U. (2013) Enacting openness in ICT4D research, in: Open Development, M.L. Smith & K.M.A. Reilly (eds), MIT Press, Cambridge, MA, 53-77; an earlier version available as: Loudon, M. & Rivett, U. (2011) Enacting openness in ICT4D research, Information Technologies & International Development, 7(1), 33-46; some details from Rivett, U. & Tapson, J. (2009) The Cell-Life Project: converging technologies in the context of HIV/AIDS, Gateways, 2, 82-97

[3] See also Lounsbury, M. & Pollack, S. (2001) Institutionalizing civic engagement: shifting logics and the cultural repackaging of service-learning in US higher education, Organization, 8(2), 319-339

[4] See Nicholson, B., Malik, F., Morgan, S. & Heeks, R. (2015) Exploring hybrids of commercial and welfare logics in impact sourcing, , in: Openness in ICT4D, P. Nielsen (ed.), Department of Informatics, University of Oslo, Norway, 78-91; which draws on Pache, A.-C. & Santos, F. (2013) Inside the hybrid organization: selective coupling as a response to competing institutional logics, Academy of Management Journal, 56(4), 972-1001

[5] See, e.g., Heeks, R. (2015) The curse of hyper-transparency, ICT4DBlog, 27 Feb; and Dahlander, L. & Gann, D.M. (2010) How open is innovation?Research policy, 39(6), 699-709

Understanding WDR2016 as a Conflict of Closed vs Open Institutional Logics

11 February 2016 3 comments

How can we explain the negative consequences associated with ICTs: the digital deficit and digital ills identified in the 2016 World Development Report?

As summarised earlier, the Report itself blames the digital deficit – inequity in the distribution of ICT benefits to a few “haves” rather than the many “have nots” – on two divides: a digital divide of very uneven access to the digital infrastructure; and a social divide of inadequate policies, skills, and (public sector) institutions.  And it ranges a little wider in identifying authoritarian states, vested interests, and monopolies as the source of some negative ICT-related impacts.

The Report therefore starts to manoeuvre around two classic ICT4D shortcomings[1]:

  • The teleological error: the association of ICTs solely with their intended purposes; assuming that policy needs only focus on removing barriers to diffusion and adoption to deliver development.
  • The structural error: the association of ICTs solely with “imminent development” (incremental, short-term, development driven by individual agency), ignoring the association of ICTs with “immanent development” (the development that emerges from the deep structures of society).

But we can push further than the Report does to look at those deep structures, using the ideas of institutional logics.  Institutional logics are broad social forces with both material and symbolic elements that shape the way we think and act.  Religion, family, state, and market are typical logics but running through digital development is a conflict between two other logics:

  • Open logic: a cooperative logic that values openly-accessible inputs, participative and collaborative processes, and shared distribution of benefits.
  • Closed logic: a competitive or controlling logic that values restriction of inputs, processes and benefits to particular individuals or groups.

At least in the economic and political spheres, closed logic is the dominant global force but challenged sporadically by open logic[2].  On that basis, we can see three patterns reflected in the Report:

  • Reinforcement: cases in which the dominant closed logic is reproduced, or extended, or augmented through use of ICTs. Examples abound: electronic surveillance of citizens by autocratic regimes; the lack of impact of e-procurement systems on bribe-paying and bid participation rates; capture of e-participation systems by political elites; and development of digital monopolies.
  • Insurgence: cases in which the subordinate open logic is strengthened through use of ICTs. For instance, crowdsourcing to report and reduce electoral violence and fraud, creation of open learning systems, or crowdfunding platforms.  But these are fewer and weaker than the reinforcement examples.  So there is a sense of marginality: incremental gains that do not disturb the underlying closed logic – sometimes perhaps deliberate “openwash” that coats closed logic with an open veneer.
  • Metamorphosis: cases in which ICTs initially support open logic which is then translated into closed logic. A number of the Report’s sharing economy examples have followed this trajectory; for example, mutating from non-profit to for-profit.

The Sustainable Development Goals are clear that development to date has been too incremental, and needs to be transformational.  If we take that seriously, then ICT4D must attend to its teleological and structural errors; in particular, asking how ICTs can accompany or even facilitate structural transformation.

This does not mean spurning closed logic and supporting only open logic – competition, control and cooperation are all fundamental human impulses, and none of them alone can deliver development.  But ICTs cannot help deliver the SDGs’ radical agenda if they simply help closed logic grow at the expense of open logic.

This means more ICT4D research on the role of digital technology vis-a-vis the immanent development that emerges from society’s deep structures, and more ICT4D practice that recognises and engages with those structures.

[1] Adapted from Murphy, J.T. & Carmody, P. (2015) Africa’s Information Revolution, John Wiley & Sons, Chichester, UK.

[2] See, e.g., Fuchs, C. (2008) Internet and Society: Social Theory in the Information Age, Routledge, New York.

Digital Dividends: Thoughts on the 2016 World Development Report

13 January 2016 1 comment

Some years back, helping run a session at the World Bank, I introduced myself to a table of participants.  “Oh yes”, came the sniffy response, “you’re the ICT failure guy”.  This was a World Bank that believed in – and heavily promoted – the development benefits of ICTs, and had little time for any contrary evidence.

Judging from this year’s World Development Report – “Digital Dividends” – that rose-tinted optimism has been replaced by a much more realistic, and somewhat downbeat, perspective on ICT4D; a perspective that’s emerged from strong engagement with the current evidence base.

Three Divides

WDR2016 is a tale of three divides.

The first is an impact divide: a gap between ICT’s widespread diffusion and its actual delivery of benefits – the “digital dividends” of the title.  As one would expect, the Report does a great job of laying out those dividends, particularly through pithy frameworks and graphics.  It shows the way in which ICT affordances of efficiency, inclusivity and innovation have driven productivity, growth and jobs in the economic sphere, and more capable and responsive governments in the political sphere.

Yet alongside the digital dividend has come:

  • a digital deficit: inequalities in the distribution of these benefits with a few “haves”, many “have nots”, and far more “have lesses”; and
  • digital ills: cybercrime and curtailment of online freedoms that sit beside the ICT4D unmentionable, online pornography.

The cause of these problems – at least the digital deficit – is the two other divides.

The digital divide is familiar territory: the problems of accessibility and affordability with customary prescriptions that mix competition and regulation, and at least a mention for the applicability problems that arise from digital illiteracy.  But of more interest is the strong recognition that a social divide is the main determinant of the pattern of ICT4D impacts: a gap between the regulations, skills, and institutions needed to deliver digital dividends for all vs. the actual regulations, skills and institutions present within developing countries.

Those who believe in a contextualised, socio-technical approach to ICT4D will nod along to all this.  Even the consequent prescriptions – “regulations that allow firms to connect and compete; skills that technology augments rather than replaces; and institutions that are capable and accountable” – while they have an expected flavour of neo-liberalism, constitute a broader digital policy agenda than often promoted in the past by the World Bank.

Digital Development

This broader agenda reflects a bigger picture issue: the Report is one more marker of the transition from “ICT4D” to “digital development”.  The absence of ICT4D (it gets no mentions save a bibliographic reference to one of my papers) in favour of digital development is more than just a change in terminology but – as I’ve written in an earlier report (see here for edited version) – reflects the slow change from ICTs being a tool that assists development to their being the platform that mediates development.

The agenda for digital development will be substantially shaped by the Sustainable Development Goals, with their three essentials of transformation, inclusion and sustainability:

  • As noted above, WDR2016 identifies how much ICTs have already delivered; how reality has so far undershot the transformative potential of ICTs, due to technical and social divides; but also what the solutions might be.
  • Inclusion – or rather lack thereof – is also a key Report theme, citing concentration of economic and political power, state and corporate control of citizens, and inequality of economic impacts. The Report’s focus on economic and political domains means it has much less to say about ICTs and inequalities in other domains such as social and family and cultural life.  It is also rather mixed in its perspective on ICTs and inclusion: at times arguing inequalities “persist, not because of digital technologies, but in spite of them”, but in other places explaining how ICTs have facilitated digital monopolies, automation of middle-income jobs, and digital authoritarianism.
  • Sustainability and its operationalisation through resilience gets a brief acknowledgement but – as I’ve noted in my “ICT4D2016” paper – much remains to be done to really get a grip on the coming e-sustainability and e-resilience agenda.

The practice of digital development will be substantially shaped by Development 2.0: the ICT-enabled innovations that challenge existing development structures and processes: users as digital producers, the power of the crowd, digital participation, network structures, data-intensive development, and open development.  In largely reviewing the existing evidence base, “Digital Dividends” has less to say about these.  But they are identifiable within the Report as part of the coming flow.

WDR1998/99 (“Knowledge for Development”) had an important impact in kick-starting ICT4D.  WDR2016 faces a different world – one far more mature, and perhaps a little jaded in its experience of ICTs and development, but it reflects this evolution well and will be a vital pointer for the “digital development” future.

 

Disclosure: I was an invited Advisory Panel member for WDR2016.

The Data Revolution Will Fail Without A Praxis Revolution

14 August 2014 6 comments

Pose the following to data-revolution-for-development activists: “Show me an initiative of yours that has led to scaled, sustained development outcomes”.

If – as likely – they struggle, there’s a simple reason.  We have not yet connected the data revolution to a praxis revolution for development.  The data revolution takes advantage of technical changes to deliver new volume, speed, and variety of data.  The praxis revolution makes changes to development processes and structures in order to turn that data into development outcomes.

Perhaps data activists never took, or fell asleep during, Information Systems 101.  Because the very first session of that course teaches you the information value chain.  You’ll find variants of the example below in Chapter 1 of most information systems textbooks.

New Info Value Chain

It explains that data per se is worthless.  Value – and development results – only derive from information used in decisions that are implemented as actions.  To make that happen you also need the intelligence to process the data into information; the imperative that motivates you to run the whole chain through; and the soft capabilities and hard resources to access data and take action[1].

It is – relatively – easy to deliver the new data and to attack the ‘access’ issue by lowering skill and technological barriers for development decision makers, for example via good data analytic and visualisation techniques.  It is much more difficult to address the praxis components of the chain.  That’s not just a question of providing information-, decision-, and action-related skills and other resources for individuals.  It will typically require:

– new, more evidence-based decision-making processes

– new, more agile decision-making structures

– new institutional values and incentives that orient towards these new decision-making modes.

At present, that does not seem to be happening.  If we create a quasi-heatmap of the focus for some key data-revolution-for-development (DReD) sources[2], then we see that almost all the focus lies at the source of the value chain or before (prioritisation, digitisation, standardisation, etc of data).  There is a very little thought given to the development impact of data.  And the “wings” of intelligence and imperative, and the core of praxis (information-decision-action) are missing.

Heatmap Info Value Chain

“Heatmap” of Key Data-Revolution-for-Development Sources

 

Of course that’s partly understandable: there’s a clue in the term data revolution; in the remit set for organisations like Global Pulse; and in the technical profiles of most of those involved.

And the limited incursion of techies into praxis is partly welcome.  As Evgeny Morozov has noted, the techie prescription for praxis is algorithimic regulation – a steady incursion of automation into the downstream stages of the value chain which assumes digital decisions and actions are some apolitical and rational optimum, which denies the importance of politics and thus neuters political debate, and which diverts attention from the causes of society’s ills to their effects with the attitude: “there’s an app for that”.

So, at present, we face two future problematic streams. One in which a great deal of money is wasted on DReD initiatives that make no impact.  One in which a technocentric view of praxis prevails.

Both require the same solution.  First, an explicit recognition of information value chains in the design and implementation of all DReD projects.  Second, a more multidisciplinary approach to these initiatives which incorporates participants capable of both debating and delivering the praxis revolution: those with information systems, organisation development and political economy skills are probably more relevant than decision scientists – to paraphrase Morozov, we’ve got quite enough Kahnemans and could do with a few more Machiavellis.

 

[1] Developed from Heeks & Kanashiro (2009) with a modification courtesy of Omar Malik, University of Nottingham, UK.

[2] Analysis of the content of: http://devinit.org/wp-content/uploads/2013/09/Data-Revolution-DI-briefing.pdf; http://www.opendataresearch.org/content/2014/667/researching-emerging-impacts-open-data-oddc-conceptual-framework; and http://www.unglobalpulse.org/research/projects.  A fuller and more robust analysis will require more sources and co-coding of content.

%d bloggers like this: