While the Data Challenge primarily aimed to enhance the winners’ geospatial data understanding and skills, and help them convert their idea into a viable concept note, the learning went beyond pure data science. Sustainable and impactful use of geospatial data relies on strengthening the capacity of data users not only on the data itself, but the soft skills around it. GRID3’s focus has not only been on GIS or gridded population data, but also on equipping participants with tools and methods to future-proof their career and enhance their organisational, business writing and critical thinking skills.
“I learnt a whole lot, from working and collaborating with people remotely via conference calls and Google docs, to learning how to organise my thoughts and ideas using a concept note template. The template I got from working with GRID3 would go on to be applicable to many other projects. I learnt various new technologies for geospatial analysis, new tools to add to my toolbox,” explains ‘Yosola.
Through the Data Challenge, GRID3 and DSN worked together to boost the confidence of young data analysts in utilising new data science techniques and broaden their knowledge by training them on the foundations of GIS and gridded population modelling.
“Even just starting out in the GIS field, ‘Yosola was willing to learn the relevant geospatial skills needed to prove the concept which, at the end, made him more confident and increased his knowledge of geospatial analysis,” comments Wole Ademola.
“I was impressed with his willingness to learn and how quickly he picked things up” adds Alina Game. “This exploratory analysis is just the start for this idea – there is much more that can be achieved and I hope ‘Yosola continues with this concept and continues to develop his GIS skills”.