)x for Global Health
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
When 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.
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.
DEVELOPMENT ECONOMICS X HEALTH
Improving success in digital health with research and professional services; emphasizing inclusive institutions and innovations with speed and at scale
Scale Collaborations Co
Data-driven, rigorous solutions for the next-generation of impact: privacy, equity and efficacy in 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
Be quantitatively guided by dynamic contexts
Be quantitatively guided by historical and community health contexts
Development Economics X Health
The goal of )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.
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