Our statistics team collects data on a regular basis from non-profit organizations, socio-economic research specialists and verified online sources. We also develop innovative tools to parse online newspapers and social-media platforms for qualitative data.
Data is analyzed very carefully with an eye towards bias-correction and informed statistical methodology. We strive towards applying the latest statistical and machine-learning methods where appropriate. Any data-inference is converted into easily digestible data-visualizations by our graphic designers, thereby unearthing the "story" behind the data.
Any interesting findings are shared with the providers of the data, and converted into a comprehensive newspaper or blog article by our writing and outreach teams. The findings are also shared with the general public via interesting infographics on social media, or our customized interactive plaforms (feature under development). This can be used to raise data-driven social awareness, and push the agenda for any socio-economic cause.
Shanzid Shaiham (https://shanzid.com)
Al-Mubin Khan Nabil (https://fb.com/almubin.nabil)