Grace Kathure Mugo is a Senior Fellow with Dataking Consulting. She holds a Bachelor of Arts degree in Social Work (First Class Honours) and a Master of Arts degree in Sociology from the University of Nairobi, Kenya. She possesses over eight years’ research experience accumulated from her continuous involvement in both qualitative and quantitative research studies in Kenya and East Africa region.  She has consulted for various donor financed projects as a Gender and Community Development Expert. She has thus been engaged in various studies such as baseline studies, midterm reviews, impact assessment studies and programme completion review studies (PCR) majorly for International Fund for Agricultural Development (IFAD) financed projects. Grace has also worked as a Social Impact Assessment and Audit Officer for Earthview GeoConsultants Ltd, a consultancy firm contracted by Tullow Oil and Africa Oil in Kenya to conduct Environmental and Social Impact Assessments (ESIAs). Her research areas of interest include; research methodology, community health, gender and development, natural resource management, population studies and demography as well as monitoring and evaluation. She is currently working as a full time consultant. Prior to her joining full time consultancy, she served as a Senior Gender Officer with the Ministry of Public Service and Gender in Kenya where she spearheaded gender mainstreaming activities at the county (district) level. Currently, she is pursuing a doctorate degree in population studies at the Regional Institute for Population Studies (RIPS), University of Ghana.

Kobby Azu is a Senior Fellow with the Dataking Research Lab of Dataking Consulting. He is currently a Senior Economic Analyst at the Bank of Ghana, where he has had an over-decade-long career. Kobby has consulted for various international organisations including USAID, Marine Petroleum, and Canada World Youth, among others. He holds a Master of Economics: Economic Development & Policies from Kobe University, where he worked as a Research Fellow. He also holds a Master of Arts in Economic Policy Management and a Bachelor of Arts in Economics and Sociology from the University of Ghana. He is a doctoral candidate at SMC University, where he is pursuing a PhD in Financial Economics.

Hubert Nii-Aponsah is an Economist and Governance specialist with extensive operational and analytical experience in public sector development. His experiences cover leading research projects, and creating global datasets and indexes, notably the GovTech Maturity Index, which measures progress in public sector digital transformation in 198 economies. He also has significant operational experience in initiating and managing World Bank Public Financial Management (PFM) projects, as well as academic experience teaching both undergraduate and graduate-level quantitative courses, including Microeconomics, Macroeconomics, Statistics, Data Science and Econometrics. Prior to working with the World Bank, he was the Resident Economist and Deputy Head of the Center for Economic Governance and Political Affairs at Imani Center for Policy and Education where his work on the Imanifesto research project received extensive local media coverage, an international award from the Atlas Foundation, and recognition as one of the best policy reports by the 2016 Global Go To Think Tank Index published by the University of Pennsylvania. Hubert holds a masters degree in Economics from Central Michigan University and is presently a PhD Fellow in the Economics and Governance of Technological Change at Maastricht University (UNU-MERIT). His core research interests encompass the drivers, effects and linkages between modern automation technologies (such as AI), labour market outcomes, GovTech, and trade. Hubert's research investigates the effects of the adoption of new automation technologies on the future world of work with regards to labour productivity growth, wages, and employment in advanced and developing countries, His research also links advanced and developing regions through automation-induced reshoring and considers automation disruption in the Gender, Age and Skills dimensions of the labour markets of both regions.