Validating cultural and contextual traits of a\ud collectivistic community

Sub-Saharan African communities are classified as collectivist\ud societies. But, what exactly is meant by collectivism and to what extent\ud individuals adhere to this given the differences in their socio-economic\ud conditions? This paper is an empirical exploration of the contextual and cultural\ud traits of a rural sub-Saharan African community in order to facilitate their\ud interpretation towards technology design and adoption. Card sorting is used to\ud validate and make explicit contextual and cultural traits previously identified\ud during interviews. It is a confirmation of the collectivist nature of these cultures\ud with more details such as eagerness to confirm personal views and requirements\ud with that of the group in order to save “face”, among other traits

Analysing trade-offs and synergies between SDGs for urban development, food security and poverty alleviation in rapidly changing peri-urban areas: a tool to support inclusive urban planning

Transitional peri-urban contexts are frontiers for sustainable development where land-use change involves negotiation and contestation between diverse interest groups. Multiple, complex trade-offs between outcomes emerge which have both negative and positive impacts on progress towards achieving Sustainable Development Goals (SDGs). These trade-offs are often overlooked in policy and planning processes which depend on top-down expert perspectives and rely on course grain aggregate data which does not reflect complex peri-urban dynamics or the rapid pace of change. Tools are required to address this gap, integrate data from diverse perspectives and inform more inclusive planning processes. In this paper, we draw on a reinterpretation of empirical data concerned with land-use change and multiple dimensions of food security from the city of Wuhan in China to illustrate some of the complex trade-offs between SDG goals that tend to be overlooked with current planning approaches. We then describe the development of an interactive web-based tool that implements deep learning methods for fine-grained land-use classification of high-resolution remote sensing imagery and integrates this with a flexible method for rapid trade-off analysis of land-use change scenarios. The development and potential use of the tool are illustrated using data from the Wuhan case study example. This tool has the potential to support participatory planning processes by providing a platform for multiple stakeholders to explore the implications of planning decisions and land-use policies. Used alongside other planning, engagement and ecosystem service mapping tools it can help to reveal invisible trade-offs and foreground the perspectives of diverse stakeholders. This is vital for building approaches which recognise how trade-offs between the achievement of SDGs can be influenced by development interventions

Linking Research and Policy: Assessing a Framework for Organic Agricultural Support in Ireland

This paper links social science research and agricultural policy through an analysis of support for organic agriculture and food. Globally, sales of organic food have experienced 20% annual increases for the past two decades, and represent the fastest growing segment of the grocery market. Although consumer interest has increased, farmers are not keeping up with demand. This is partly due to a lack of political support provided to farmers in their transition from conventional to organic production. Support policies vary by country and in some nations, such as the US, vary by state/province. There have been few attempts to document the types of support currently in place. This research draws on an existing Framework tool to investigate regionally specific and relevant policy support available to organic farmers in Ireland. This exploratory study develops a case study of Ireland within the framework of ten key categories of organic agricultural support: leadership, policy, research, technical support, financial support, marketing and promotion, education and information, consumer issues, inter-agency activities, and future developments. Data from the Irish Department of Agriculture, Fisheries and Food, the Irish Agriculture and Food Development Authority (Teagasc), and other governmental and semi-governmental agencies provide the basis for an assessment of support in each category. Assessments are based on the number of activities, availability of information to farmers, and attention from governmental personnel for each of the ten categories. This policy framework is a valuable tool for farmers, researchers, state agencies, and citizen groups seeking to document existing types of organic agricultural support and discover policy areas which deserve more attention

Human-computer interaction for development (HCI4D):the Southern African landscape

Human-Computer interaction for development (HCI4D) research aims to maximise the usability of interfaces for interacting with technologies designed specifically for under-served, under-resourced, and under-represented populations. In this paper we provide a snapshot of the Southern African HCI4D research against the background of the global HCI4D research landscape.We commenced with a systematic literature review of HCI4D (2010-2017) then surveyed Southern African researchers working in the area. The contribution is to highlight the context- specific themes and challenges that emerged from our investigation

Review of CCAFS Scaling Activities

This review was commissioned by CCAFS Learning Platform for Partnerships and Capacity Building for Scaling Climate Smart Agriculture, with the aim to reflect on CCAFS project portfolio to highlight good practices and gaps in implementation of CCAFS Scaling Activities. The review was undertaken with a systemic approach, using the concepts of design thinking and system thinking throughout its methodology and analysis. 21 practitioners throughout CCAFS regional, flagship and learning platform portfolios were interviewed between March and May 2019. The results are presented in a way that allows CCAFS to identify areas to deepen systematically upon; areas for CCAFS’s further strategic or conceptual support, and areas that require more research by CCAFS. The systemic analysis shows that CCAFS has the potential to consciously transform into a learning organization and an innovation environment, thereby fostering and increasing its performance, relevance and overall impact in changing and challenging circumstances. The results were discussed and validated with the CCAFS Core Team (CT) in the frame of a CCAFS CT Workshop on Scaling on 15th May in Madrid. In open learning formats, the CT prioritized its next step. The review report further contains a set of recommendations, derived from both the review and the CT Workshop on Scaling, which shall help CCAFS to transform into both a learning organization and an innovation environment

Simple identification tools in FishBase

Simple identification tools for fish species were included in the FishBase information system from its inception. Early tools made use of the relational model and characters like fin ray meristics. Soon pictures and drawings were added as a further help, similar to a field guide. Later came the computerization of existing dichotomous keys, again in combination with pictures and other information, and the ability to restrict possible species by country, area, or taxonomic group. Today, www.FishBase.org offers four different ways to identify species. This paper describes these tools with their advantages and disadvantages, and suggests various options for further development. It explores the possibility of a holistic and integrated computeraided strategy

The strategically located land index support system for human settlements land reform in South Africa

Abstract: Creating sustainable human settlements is fundamental in fostering spatial and socio-economic integration in South Africa. Policy makers are often faced with the problem of identifying strategically located land for human settlements land reform in South Africa. To date there is no tool or standard framework that assists the government to identify land that is strategically located for land reform. This study proposes the use of Geographic Information Systems (GIS), and Multi-Criteria Decision Making (MCDM) to develop a Strategically Located Land Index (SLLI) deployed in a web viewer to identify land that is smart for human settlements land reform. The study demonstrates that GIS,MCDMand the SLLI are invaluable tools in facilitating streamlined, coordinated, standardised and evidence-based decisions for human settlements land reform. However, there is need for capacity building in government departments responsible for land reform and development planning for the SLLI to be fully utilised