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Improving the prospects for sustainable ICT projects in the developing world

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Abstract

Projects that bring information and communications technology (ICT) to the developing world and especially to rural areas have the potential to empower the disenfranchised, foster economic opportunity, and narrow the digital divide that threatens to widen global disparity between the haves and the have-nots. However, given the remarkable growth of such undertakings around the world, there has been little corresponding effort made to address the vital issues of long-term project sustainability and the diverse motivations and incentives facing the actors involved. As a result, these projects continue to be implemented sporadically and in a piecemeal fashion, which in turn hinders our ability to define success and recommend best practices for implementing and/or scaling them. Through an analysis of publicprivate partnerships (PPPs), the prevailing vehicle for project implementation today, the article addresses the issue of sustainability through partnerships, and also asserts that developing world technology recipients must be considered as stakeholders, as they hold the key to project sustainability. Following an overview of both theory and the current state of ICT-related development projects, the article provides a case study of a Sri Lankan-based pilot project involving multiple stakeholders. This case reveals important success factors that can be applied to future developing world ICT projects.
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... Information and Communication Technology (ICT) tools have become important globally in the recent years for countries, societies and individuals, as these tools affect every part of life including, social interactions, economics, politics, health, wellbeing, and comprehensive development as a whole. ICT tools are enabling, considering a practical knowledge application in the information and communications areas (Hosman & Fife, 2008). Ashton and Thorns (2007) argued that community engagement development through ICT tools has become a popular theme, particularly in developed countries, over the last twenty years. ...
... ICT is a key common denominator of communities' initiatives as an essential vehicle for initiating and facilitating international, regional and local collaborations and creating a sustainable path to equitable human, social and economic development (Passerini & Wu, 2008). Interest and investment levels in ICT projects in developing countries have skyrocketed with high expectations for such projects in terms of improving quality of life, increasing empowerment and promoting economic development for target communities (Hosman & Fife, 2008). Developed and developing countries seek to enhance life for local people through ICT tools using different ways, approaches and tools to minimize the development gap between cities and rural communities. ...
... ICT is an efficient way to acquire technological experience and expertise to bridge the digital divide between information-rich and information-poor communities, and between those who have access to use high-quality content, socio-economic benefits through ICTs, and those who still use technology solely for recreational or communication purposes (Ashton & Thorns, 2007;Hosman & Fife, 2008;Al-Shqairat et al., 2014;Al-Shqairat, et al., 2015;ESCWA, 2017). ...
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ABSTRACT: Knowledge Stations (KSs) have emerged as one of the Information and Communication Technology (ICT) key initiatives designed to enhance the quality of life of those living in remote and local communities through improving their digital information literacy to enhance their educational and vocational wellbeing. This study aimed to fill a research gap by exploring KSs’ critical success factors (CSFs) that are vital for KSs to achieve their mission by answering the following two questions: what are KSs' CSFs?, and how can these factors enhance KSs’ role in the knowledge-based development of local communities (K-B DLC)? The findings suggested significant support for thirty-five CSFs divided into four groups related to KSs departments, KSs themselves, LCs, and Hosting Organizations (HOs). The findings also suggested significant support for ways that CSFs can enhance the services provided by knowledge stations as demonstrated via the study’s theoretical model. In addition, KSs as an ICT initiative, are integral in developing the knowledge society in Jordan, but face a range of inhibitors such as insufficient funds, the absence of trainers’ incentives, and a lack of cooperation with higher education institutions such as universities.
... It elaborate healthdecision support system as an online tool for health planners using geographic information systems. (Laura Hosman, 2008) gives an overview of both theory and the current state of ICT-related development projects, the article provides a case study of a Sri Lankan-based pilot project involving multiple stakeholders. This case reveals important success factors that can be applied to future developing world ICT projects. ...
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The governments and private sectors have taken several national or regional digital literacy training programs (DLTPs) to mitigate digital inequalities. However, there are noticeable differences in impact and outcomes produced by programs. Since digital literacy is essential for any technical vocational education and training (TVET), this study explores possible barriers influencing the effectiveness of DLTPs at different level levels. Relevant publications were synthesized and coded using a systematic literature review to link main research findings with specific barrier categories. It was found that at the administrative level, policy planning and administrative designing, whereas at the training level, infrastructure followed by training and pedagogy emerged as the most critical determinants for the effectiveness of DLTPs. At an individual level, lack of family support significantly affect learning behaviour. A strategic model for the effective implementation of DLTPs is provided. This study constitutes an essential input for research on the digital literacy training literature providing educators and program stakeholders with a reinforced understanding of various ways to manage DLTPs at different levels. Consequently, it closes some identified knowledge gaps and offers additional insights to improve the DLTPs performance at the community level.
... Evaluations of government-led ICT4D initiatives often reveal that the projects suffer weak impacts, and that development does not achieve set goals nor lasting improvements for communities (Kriz et al., 2016;Mog, 2004). ICT4D also fails to deliver in terms of sustainability and scalability of the proposed solutions (Heeks, 2008;Hosman & Fife, 2008;Quesada-Vázquez & Rodríguez-Cohard, 2015) and by permitting the disintegration of infrastructures initially set up to serve specific projects (Gunawong & Gao, 2017). Reasons to explain the mismatch between investments and results range from incoherent implementation to poor business models, to shortage of local infrastructure services, and finally lack of collaboration and appropriate assessment (Veldsman & Van Rensburg, 2006;Heeks, 2008;Pade & Sewry, 2009). ...
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Thesis
Decreasing fossil fuel reserves and the environmental consequences related to the exploitation of petroleum products effectuate a shift to a more bio-based economy. This economy will be driven by biochemicals and biofuels derived from various biological feedstocks. The fermentation or direct transformation of these complex feedstocks is often preceded by a pretreatment step to activate the components of interest, followed by several downstream processing operations to isolate and purify the product from these complex feed streams. The cost of upstream and downstream processing is a major contributor to the total production cost of biochemicals. Traditional purification steps often include a combination of chemical and physical separation processes and are resource- and energy-intensive. Recent studies indicate that electrodialysis can be a cost-effective alternative to replace some of these costly upstream and downstream processing steps. This membrane separation technology makes use of an electric field to remove ions from a feed stream. Despite the advantages in terms of cost/material efficiency, one of the main bottlenecks for the application of electrodialysis on bio-based process streams is fouling. The physicochemical properties of the bio-based feedstocks lead to fouling of the membranes, spacers and clogging of the system and is a major hurdle to overcome. Several experimental studies have been performed on fouling in electrodialysis systems but have not yet led to a clear solution for the targeted bio-based streams. A limited understanding and lacking quantitative description of the complex fouling phenomena lies at the heart of this problem. Given the growing market share of the bio-based economy along with a growing pressure towards sustainability, a fouling resilient electrodialysis system, tailored to withstand the potential fouling in electrodialysis processing of bio-based process streams would be a significant improvement. Even if the increase in efficiency is modest, it will be an important contribution to the economy and the environment. Previous research shows that the fouling severity is heavily influenced by the process conditions and stack design but designing and optimising electrodialysis systems to reduce fouling is challenging. This work aims at tackling this problem by developing a mathematical model of the fouling process. A mathematical model that can predict the fouling behaviour as a function of the feed stream and foulant properties, the electrodialysis stack characteristics and the operational conditions could be leveraged as a digital twin for operational optimisation and model-based design and accelerate the innovation process. A lot of models have been developed to unravel the mechanisms of ED fouling but none of them is developed to relate the process settings to the fouling rate, defined as an amount of foulant attached to the membrane or as electrical resistance. To optimise ED performance in the presence of foulants, this formulation is essential and is the main focus of this work. The first methodological part of the thesis focuses on the available mechanistic models to simulate fouling in electrodialysis. The goal of this part is to select a suitable electrodialysis process model and analyse the available fouling models. The different modelling frameworks to simulate the electrodialysis process are summarised and the trade-off between dimensionality, generalisability and computational cost of these modelling frameworks is discussed. The Nernst-Planck framework is compared to the Kedem-Katchalsky framework and several efficient simplifications of the ion transport and the hydrodynamics are reviewed as potential process models. Different open-source software libraries are highlighted that can be used to simulate these frameworks. The next chapter proposes extensions of three prominent mechanistic models to dynamically simulate electrodialysis fouling. The extended models are calibrated with experimental data and the suitability of these mechanistic approaches is determined through a combination of scenario and identifiability analyses. It was concluded that due to the large uncertainty on the underlying physics and limited specificity of the experimental data, a data-driven approach has to be adopted to fill in the gaps of missing knowledge in these mechanistic models and simulate electrodialysis fouling. The second methodological part focuses on the data-driven modelling of fouling. A dataset is gathered of the fouling behaviour of a pilot electrodialysis installation treating a humic acid solution at different operational conditions. The evolution of the stack resistance is monitored while varying the crossflow velocity, the current density and the salt concentration. Neural differential equations are put forth as a novel data-driven modelling framework for dynamic systems and the experimental data is used to train this model. The neural differential equation framework shows accurate predictions of the fouling dynamics even when a limited set of experimental data is used for model training. The robustness of the model is demonstrated by a scenario analysis and a sensitivity analysis indicates that the crossflow velocity is the most important variable influencing the fouling rate. The third methodological part extends the neural differential equations with a mechanistic process model and a mechanistic fouling model. The previous chapters establish that the development of a mechanistic fouling model is challenged by a large uncertainty on the underlying physics. Especially the mechanisms of foulant-membrane interaction, gelation and precipitation processes seem to be poorly understood. This work shows that neural differential equations can be used to fill in these knowledge gaps and improve the accuracy of the fouling models. Furthermore, we show that by including mechanistic knowledge in the data-driven model, the need for experimental data can be reduced while improving the generalisability of the model. This concept is applied to predict polyacrylamide fouling during electrodialysis. A historic dataset is used to calibrate and validate this hybrid model where the evolution of the stack resistance is predicted in time and is a function of the operational parameters and stack characteristics. Two important findings are highlighted in this part; First, the hybrid neural differential equations can leverage the mechanistic processes and generalises for new input variables which is impossible with a purely data-driven approach. Secondly, the data-driven part of the hybrid model is analysed and provides insight into the structure of the missing physics. Finally, model-based optimisation of electrodialysis operation is explored. An upcoming operational mode is pulsed electric field electrodialysis where a fluctuating current is applied to the system. Pulsed electric fields have been proved to reduce the fouling susceptibility of the system and several fouling suppression mechanisms have been put forth in previous research. A Nernst-Planck and Kedem-Katchalsky modelling approach is adopted and the evolution of the concentration profiles at the membrane surface is simulated. This model is applied to study organic fouling and sodium dodecyl sulphate is used as a foulant. An experimental study is performed and the fouling rate is studied as a function of the pulse frequency. The effect of different pulse parameters on the boundary layer concentration of sodium dodecyl sulfate is studied along with an evaluation of the current efficiency and energy consumption. Our results show that concentration relaxation is an important contributor to the fouling suppression mechanisms of pulsed electric field operation but cannot fully explain the decrease in fouling at high-frequency pulses. The simulations illustrate the counterproductivity of low-frequency pulses and the trade-off between the current efficiency and fouling suppression. Fouling layer relaxation is put forth as an additional fouling suppression effect for future research.
... The real success of these ICT solutions depends on socioeconomic factors such as age, gender, and income that continue to define the intensity of use of ICT tools, as a source of agricultural information for smallholder farmers, with large parts of the rural population in Africa, Latin America, and India remaining unreached; while challenges facing the use of ICT in dissemination of agricultural information may even contribute to further inequality in agricultural productivity and economic performance (Musa et al. 2013;Tata and McNamara 2016). Many of these projects have proved unsustainable after the donor funding ends due to approaching physical access to technology as a development goal, while failing to equip communities with the skills and technical support they need to maintain the project (Hosman and Fife 2008). What needs to be considered is that the transformative effect of ICTs on people's lives is highly personalised, and technology might support outcomes that go beyond economic growth. ...
Chapter
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