We support governments, organizations, and communities to leverage data to better understand fragile and complex environments, meet the needs of those affected by conflict, disaster or displacement, address key bottlenecks to stabilization, and achieve development impact.
Keywords: Conflict Monitoring | Counter Violent Extremism | Perception Surveys | Disaster Relief | Food Security | Network Mapping | Defence Spending | Citizen Security | Child Protection | Nutrition | Logistics |
We provided advisory services and deployed our technology to deliver a data exploration and discovery dashboard, to analyze and geo-spatially visualize a rich dataset of the the profiles of individuals radicalized in the United States from 1948 - 2013. The dataset is a cross-sectional, quantitative dataset, the largest known database on individual radicalization in the United States, containing de-identified information on the backgrounds, attributes, and radicalization processes of nearly 1,500 violent and non-violent extremists who adhere to far right, far left, Islamist, or single issue ideologies in the United States. The database includes 147 variables across time, space, and thematics.
We provided advisory services on data transformation and deployed our technology to deliver an exploration and discovery dashboard that enables government clients and research institutions to track and understand government spending and investments in the defence sector through exploration of a rich indicator-based dataset pertaining to information on 172 countries from 2008 - 2018. The rich visualizations include country-specific profiles with indicator timelines, maps, time-series, thematics data, spending distributions with filtering, comparison, and intuitive interaction. Using Keshif the IISS better demonstrates the value of its extensive current and historical Military Balance data, and enhances capabilities to explore, analyze, and communicate trends, relations and insights from different perspectives, through time, space and themes.
Mapping and Analysis of Prevention and Deradicalization Projects Dealing with Extremist Radicalization
We applied our data-visualization technology to develop a dynamic, analytically powerful and customized data visualization platform to support the Institute for Interdisciplinary Conflict and Violence Research (IKG) and its institutional partners to map out, evaluate, and analyze over 1000 local initiatives focusing on prevention, de-radicalization, and disengagement from extremist groups and ideology taking place across Germany. Using Keshif, IKG and institutional partners can easily and intuitively navigate across and analyze multiple local initiatives, identify potential blindspot regions that require interventions and re-allocation of resources, and use this information to assess the outreach of initiatives on the ground.
Open Data Project
We applied our innovative data-visualization technology to develop an intuitive, powerful, interactive visual dashboard to analyze over 2300 incidents on aid workers worldwide. The solution consists of multiple dashboard views with rich visuals and specialized analysis views providing overview and in depth-analysis across different countries, regions, and sub-districts, across time, theme and actors. The solution has visual features pertaining to point location and administrative border maps, time trends and individual incident list views, presented in multiple ways, enabling users to explore the data and generate insights on who, what, where, when and impact, rapidly.
Survey Analysis in Syria, Somalia, Burkina Faso and Niger
We applied our innovative data-visualization technology and provided advisory services to transform survey data into intuitive, powerful, and interactive visual dashboards for various entities to analyze community perceptions on governance bottlenecks in countries like Yemen, North Macedonia, Syria, and Sri Lanka. Using Keshif, analysts were able to explore data through national and subnational maps, point locations, timelines and bar charts, matrix data, text and cross-section thematics.