The Policy Innovation Lab is dedicated to advancing data-driven policymaking by equipping policymakers with the skills and knowledge needed to leverage digital innovations and tools. Strengthening their ability to use these tools ethically and responsibly enhances the quality and evidence base of governance decisions.
As part of its capacity-building efforts, the Lab hosted an online training session titled “Digital Tools for Policy Advice” in November. The session, designed for government officials, was facilitated by Professor Willem Fourie, Chair of Policy Innovation at Stellenbosch University, alongside Dr Gray Manicom and Dr Itai Makone. The training covered four key modules: Digital Tools for Research and Policy Analysis, Digital Tools and Citizen-Generated Data, Basic Concepts of Modelling, and Natural Language Processing.
In the Digital Tools for Research and Policy Analysis module, Prof. Fourie and Dr Makone introduced participants to foundational concepts in artificial intelligence (AI). They explored real-world applications of AI that have enhanced policymaking processes globally. A hands-on session followed, allowing participants to practise using AI tools to gather and analyse research evidence, thereby improving their ability to make evidence-informed policy decisions.
The training also included an interactive session on modelling techniques and natural language processing (NLP). Participants were introduced to hypothesis testing, sentiment analysis, and topic analysis to uncover patterns and anomalies in policy-related data. Dr Manicom emphasised the importance of understanding the limitations of machine learning models, ensuring participants approached AI tools with a balanced perspective.
“These sessions enabled participants to apply advanced analytical techniques directly to policy-related challenges, fostering a deeper understanding of data-driven decision-making,” Dr Manicom explained.
Recognising the importance of diverse data sources, the Digital Tools and Citizen-Generated Data module highlighted the value of incorporating citizen-generated data into policymaking processes. Dr Manicom guided participants in identifying, collecting, and analysing such data, demonstrating its potential to complement official government statistics. This approach supports more inclusive and responsive policy development.
Dr Makone, who coordinated the training, noted the strong engagement of participants. “The highlight of the training was the remarkable enthusiasm and curiosity shown by the government officials. It was inspiring to see their eagerness to delve into the underlying coding processes while focusing on the responsible and ethical interpretation of results.”
Building on this success, the Policy Innovation Lab plans to continue offering customised capacity-building initiatives in 2025, further supporting policymakers in their journey towards ethical, data-informed governance.