Methods & Case Studies

case study

The King Baudouin Foundation’s Social Profit DATATrust

The King Baudouin Foundation in collaboration with social sector organizations–UNISOC, UNIPSO, Verso, BRUXEO, and ConcertES–developed a platform that aggregates data from across the social sector in Belgium. Managed by several non-profit stakeholders, the platform supports data analysts, business analysts, developers and others in data collection and analysis, and the dissemination of data-driven insights.

Open Data PlatformData AnalyticsBenchmarkingQueriesData VisualizationNetwork AnalysisData Pooling
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method

Living Evidence and Visualization

Living Evidence is the process of gathering and combining large quantities of evidence (i.e. research studies or data) related to a topic of interest into a consolidated format using computational tools and regularly generating updated summaries as new evidence emerges...

Data VisualizationLiving Systematic ReviewsLiving Evidence Gap MapsLiving GuidelinesUser Interfaces
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method

Digital Ethnography

Digital Ethnography is the process of using digital technologies to learn about the shared ambitions, behavior, culture, and experiences of communities across different issues...

CrowdsourcingNetwork AnalysisSocial MediaData-Powered Positive DevianceCommunity-Led Digital EthnographyThick DataLived Experiencesocial listening
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method

Futures Studies

Futures Studies is the process of examining how systems could evolve over time in order to anticipate and prepare for multiple future outcomes...

ForecastingFutures CollaborationsTechnology-Driven ForesightFutures LiteracyHorizon ScanningBayesian ModellingPredictive Modelling
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method

Participatory Sourcing of Questions

Participatory Sourcing of Questions (PSQ) is a method to scope, formulate, and prioritize data-actionable research questions with key stakeholders...

QuestionsCrowdsourcingTopic Mapping100 QuestionsProblem DefinitionPublic ConsultationsSurveysBayesian Network Modelling
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While many of the methods included on the platform are new to the philanthropic sector, these methods have been tried and tested in several other domains.

The Gartner Hype Cycle is a framework that can be used to assess the maturity level of digital innovations and whether they will be sustained overtime. The following figure summarizes our distillation of where the methods included in DATA4Philanthropy are situated within the Hype Cycle. This positioning was based on our own sense-making of the method performs in terms of the following questions: