M4D Insider

With data science strengthening its power and influence over us, a certain community is growing increasingly curious: why do most data collected belong to White or Asian persons? Why are data analysis and research highly limited to user experience improvement? Why, despite the private sector utilising data so well to improve their business, are public sector organisations, NGOs, and social enterprises unable to use data science to do something good for humanity? Ronda Zelezny-Green has spent years researching ways to bridge this gap between the usage of data between the private and public sectors and highlighted four different pathways for people interested in data science if social impact is their passion: people new to data science and social work, existing data professionals wanting to move to social impact work (transitional talent), people with skills for social impact but learning data science skills to their portfolio, and people with the skills to become a leader with their data science and social im