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(Audio) Building data science and monitoring system solutions to social challenges

IDinsight’s Data Science, Engineering, and Monitoring Systems team leaders share their career trajectories, innovative projects, and learnings.

28 November 2022

Improving health chat helplines in South Africa

How we are using natural language processing to strengthen health information sharing in South Africa.

24 November 2022

The reality behind a machine learning dataset – Part 2: Practical learnings for development, engineering, and data science

IDinsight's Victor Zhenyi Wang shares lessons learned from applying engineering principles and methods to help increase our partners' social impact.

24 November 2022

The reality behind a machine learning dataset – Part 1: Makhana

IDinsight's Victor Zhenyi Wang illustrates the distance, both physical and representative, of the data we use.

22 November 2022

Using AI to improve maternal health chatbots in South Africa

Our team shares how we worked with Praekelt.org to build an AI-powered plug-in, called “Ask-A-Question”, for a national maternal & childcare helpline.

14 November 2022

Data quality check for hierarchical linear data with outliers

How to implement a data quality check for pairs of variables displaying linear relationships.

2 May 2022

How to build a great monitoring dashboard – 7 quick tips

Check out our 7 tips to help practitioners streamline processes and build great dashboards that people actually use.

14 April 2022

Why IDinsight is investing in building data systems for primary data collection activities

IDinsight is innovating to provide high-quality data to decision-makers efficiently and cost-effectively.

25 February 2022

How to use algorithms to match eligible people to social benefits

Read how IDinsight is working with Indus Action to build an outreach system that connects people in India with government welfare schemes.

29 September 2021

Data science and engineering

25 February 2021