We use methodological triangulation to go beyond surface-level analysis and achieve a deep and accurate understanding of reality in our research. That is achieved through utilising approaches from various disciplines, such as social psychology, behavioural sciences, sociology, anthropology, and big data analysis. We detect emerging threats, analyse societal trends and provide the evidence you need for policy making, planning and scaling campaigns and programmes.
Accessing data in hard-to-reach areas
We specialise in accessing data from restricted and high-risk environments, including conflict zones and closed platforms. By gathering information from diverse sources – such as media, social media, and invite-only platforms – we provide a nuanced understanding of the most challenging contexts.
Threats and trends analysis
OpenMinds technology allows us to manage large volumes of data, enabling large-scale research and rapid hypothesis testing through user-friendly, no-code dashboards. Our research findings are enhanced by the expertise of our multidisciplinary team – including communication specialists, anthropologists, cultural experts, and psychologists who analyse and interpret global trends and threats.
Explore emerging narratives with our in-house platform Pythia
OpenMinds Pythia is an AI-powered platform that analyses real-time data from over 12,000 sources. It allows users to track emerging narratives and public sentiment across 300+ societal groups. Pythia rapidly detects anomalies, identifies influential factors shaping perceptions, and helps you stay ahead of threats.
Key capabilities include:
- Targeted sentiment analysis: classify sentiment in posts, comments, and articles to uncover general trends or anomalies.
- Semantic filtering: eliminate irrelevant content for sharper insights, filtering up to 15% of noise.
- Narrative analysis: summarise and contextualise key narratives within a topic through machine learning.
- Cross-topic analysis: compare sentiment trends across topics and identify correlations.
- Event contextualisation: match sentiment anomalies with the most discussed events.
Profiling and analysing social clusters
We examine societal groups, exploring their attitudes, beliefs, and behaviours. To uncover patterns and insights, we use a mix of methods such as surveys, focus groups, and big data analysis – including search queries, social media activity, and marketplace trends. We streamline the information from the findings, making it easy for you to understand and use to develop effective strategies for cognitive defence and fostering societal resilience.
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