Data Science and Impact Research
Data Science is central to our work in two ways:
Focused Research: We research and write about data science and the effect it can have on human development. Advances in the analysis and application of data are driving innovation across nearly every industry
Data Science is often poorly understood and badly misrepresented in the mainstream media. Machine learning, for example, remains a black box to nearly everybody who doesn’t actually know how to code. It is often the case that those who understand it don’t write about it - and those who write about it don’t have experience in the field.
We are both practitioners in the field and journalists with the skill set to deliver clear and lucid insights into this complex domain.
Focused Research: We research and write about data science and the effect it can have on human development. Advances in the analysis and application of data are driving innovation across nearly every industry
Data Science is often poorly understood and badly misrepresented in the mainstream media. Machine learning, for example, remains a black box to nearly everybody who doesn’t actually know how to code. It is often the case that those who understand it don’t write about it - and those who write about it don’t have experience in the field.
We are both practitioners in the field and journalists with the skill set to deliver clear and lucid insights into this complex domain.
Applied Methodologies: We apply data science methodologies to uncover hidden insights, ensure our work is statistically rigorous, and to illuminate our research through data visualizations.
Our team is familiar with a wide range of techniques, including applied machine learning, natural language processing, statistical methodologies, and data visualization. Our experience in the field ranges from hands-on application, to the management of technical teams, to strategy and leadership in the boardroom. |