Most tools for data analysis do not work well with datasets that change over time. Bamboo is a data analysis service built for data that is changing over time, optimized for survey-collected data that is common in the developing world. Bamboo is a dataset-agnostic and web-based tool.
Processes of evidence-based planning require base layer data about social infrastructure, as well as population, and resource maps. The Development Planning Toolkit is a packaging of the learnings of the Sustainable Engineering Lab into data collection instruments and training packages to enable any group to collect the requisite data for planning tasks such as: electrification, increasing water access, increasing access to maternal health care, improving literacy etc.
Formhub makes mobile data collection easy for anyone to use. Authors write surveys in Excel, use an offline-capable application Android phones to capture surveys (that can include GPS and photos), and easily visualize submitted data. Formhub can be used by anyone, and has been used widely by 2,000+ users to submit 800,000+ individual surveys.
In humanitarian disasters people affected by the unfolding tragedy need information as much as physical necessities. The Humanitarian Data Toolkit is a ruggedized, self-contained data collection toolkit that makes it possible to conduct rapid mobile and paper based data collection and analysis in an off-line and off-grid environment. The Humanitarian Data Toolkit is a joing project between the Sustainable Engineering Lab and Internews.
Millennium Villages Information System, or MVIS, is a web-based data entry and visualization tool, which is accessible in low-connectivity settings. MVIS provides a single place for multi-sector, multi-source, multi-site aggregated information on project or program performance to assist decision-makers at all organizational levels. MVIS is a joint project between the Sustainable Engineering Lab and the Millennium Villages Project Outcome Monitoring team.
Network Planner is an online tool for planning grid, mini-grid, and off-grid electricity from the community scale to national scale. Network planner takes a host of inputs, including geo-spatial population distribution, costs of energy technologies, electricity demand and population grow-fluidth, and existing grid network, and output the least-cost solution.
NMIS visualizes data for schools, health clinics, and water pionts to facilitate data-driven planning across hundreds of Local Government Areas in Nigeria. Local planning and centralized review of local plans are facilitated by data about geo-located social infrastructure in a common map-based platform, and geographical visualizations and aggregations by geopolitical entities.
Data collection is essential to the development planning process and is a foundation of SEL’s work. Smartphones have made the collection of physical points quick and easy. However, in large, national-scale mapping efforts, it is very difficult to ensure complete coverage in a single collection effort and during multiple efforts to avoid duplication of points. Revisit, currently in development with funding from the Bill and Melinda Gates Foundation, aims to streamline the collection process as well as build a central facility repository that enables countries and organizations to share basic facility data—helping to coordinate aid and maintain a more complete and up-to-date picture of social infrastructure.
Traditional planning techniques are population-based (eg. X health clinics for Y people). Spatial Planner makes resource planning geography aware: given geographical population distribution and locations of existing infrastructure, this web-based tool recommends where to put new facilities so that the most people are closest to social infrastructure.