Donatien Beguy, African Population and Health Research Center
The truth is that data in Africa are not produced on time, not frequently enough, are of poor quality and aren’t accurate. This makes it difficult to make data driven decisions.
Many South African teachers don’t accept the theory of evolution. They feel deeply conflicted when they have to teach it to their pupils as part of the life sciences curriculum.
The Australian census is just one way to gather data on people. We also freely give out information in other ways that can be used to study many things, and maybe even predict an election result.
Some water researchers are ignoring the evidence offered by sampling if it doesn’t fit their preconceived notions. But science should always be honest and open.
It is arrogant and hypocritical for ranking institutions to declare that they’re building Africa’s legacy or its global partnerships on the continent’s behalf.
Without data, people don’t know what to believe or whom to trust. Empirical, thorough data collected by academics can help to fill important governance gaps.
Analyzing electronic data from many doctors’ experiences with many patients, we can move ever closer to answering the age-old question: what is truly best for each patient?
By linking censuses through time or by combining other information with the census, many more important policy questions can be answered than if we used one dataset alone.
Honorary Enterprise Professor, School of Population and Global Health, and Department of General Practice and Primary Care, The University of Melbourne
Former postdoctoral researcher on machine learning applied to chemical engineering and currently science communicator for the National Museum of Emerging Science and Innovation (Miraikan), University of Tokyo