Global Health Development Economics


)x for Global Health

Scaling global health effectiveness with insights from political economy and economic history

I help stakeholders make data-driven decisions and be more effective with state of the art high-level consulting, rigorous development economics, as well as AI and innovation. Innovations require political economy and economic history contexts and an understanding of shared beliefs and preferences. The focus is on improving effectiveness in developed countries and developing countries alike, for mutual benefit.

Kweku Opoku-Agyemang

Development Economics for health innovation

How can health tech innovations from the technology sector benefit from exciting new technical advances in behavioral and development economics as well as algorithmic fairness? We are here to help elevate health impact as well as economic and social impact.


Harnessing the development economics of healthcare for unparalleled impact and scale for developing country sectors and stakeholders

Strategic partnerships and investments for economics and development

Economic modeling, randomized controlled trials and causal evidence with context, impact and scale and a rich contextual understanding. Where development economics meets its potential. The next generation of impact evaluations for impact and development at scale. Tackling the hardest problems on the planet within and across both developing and developed countries. A better world.

Kweku Opoku-Agyemang leads an expert session for Wilton Park on Global Health Futures 2030: Growing Up in a Digital World with The Lancet and the Financial Times Commission

NEWSROOM. October 19, 2020. Dr. Kweku Opoku-Agyemang was invited in his personal capacity to share his perspective during an expert discussion on Equitable Futures in AI hosted by Wilton Park as part of their special session with The Lancet and the Financial Times Commission on Global Health Futures 2030: Growing up in a digital world.



Improving success in digital health with researchand professional services; emphasizing inclusive institutions and innovations with speed and at scale

Scale Collaborations

Data-driven, rigorous solutions for the next-generation of impact: privacy, equity and socialimpactin digital and offline spaces.


Resonate with the youngest populations in the world

Cultural Impact with Macroeconomic Contexts

Development health economics and the future of work

Political Economy

Be quantitatively guided by dynamic contexts

Economic History

Be quantitatively guided by historical and community health contexts

Global Health


The goal of Development Economics X is to ensure that development stakeholders have access to rigorous, scientific and data-driven decision-making to enable them to meet or exceed their goals within their unique contexts, from improving health services and work environments to digital health impact. The specific goal(s) of this initiative may include:

Data-Driven Policy Effectiveness

This includes a full analysis based on data collection, manipulation and research design to help improve awareness and effectiveness. From strengthening governance institutions to building effective but resonant technological infrastructures that outlast short-term social dynamics.

Development Economics-based innovation for impact

This includes a full analysis based on how a health tech innovation can benefit from recent advances in ethics and algorithmic fairness; as well as behavioral economics and development economics to maximize economic impact and social impact.

Data-Driven Strategy

This includes a full analysis based on data collection, manipulation and research design to help improve decision outcomes. From collaborating with health providers and mapping international goals with national and local aspirations as each evolve over time.

Data-Driven Partnership and Investment Decision-Making

This includes a full analysis based on data collection, manipulation and research design to help improve organization impact as far as internal metrics and accountability variables are concerned. Underscoring the health situations of the next-generation and ensuring that these are consistently implemented and scaled with innovation.

Algorithmic Fairness and Research Transparency for Social Impact

Using algorithmic fairness and research transparency to ensure that organizations and digital health technologies maximize social impact and minimize bias.

The Next Step