Balancing national economic policy outcomes for sustainable development.

The 2030 Sustainable Development Goals (SDGs) aim at jointly improving economic, social, and environmental outcomes for human prosperity and planetary health. However, designing national economic policies that support advancement across multiple Sustainable Development Goals is hindered by the complexities of multi-sector economies and often conflicting policies. To address this, we introduce a national-scale design framework that can enable policymakers to sift through complex, non-linear, multi-sector policy spaces to identify efficient policy portfolios that balance economic, social, and environmental goals. The framework combines economy-wide sustainability simulation and artificial intelligence-driven multiobjective, multi-SDG policy search and machine learning. The framework can support multi-sector, multi-actor policy deliberation to screen efficient policy portfolios. We demonstrate the utility of the framework for a case study of Egypt by identifying policy portfolios that achieve efficient mixes of poverty and inequality reduction, economic growth, and climate change mitigation. The results show that integrated policy strategies can help achieve sustainable development while balancing adverse economic, social, and political impacts of reforms.

Finding out fast about the impact of Covid-19: The need for policy-relevant methodological innovation.

In this viewpoint we explore one joint research initiative in Bangladesh to illustrate how methodological innovations using mobile phone technologies and pre-existing survey databases can generate rapid and insightful data on the impacts of the Covid-19 pandemic with significant policy influence. Situating this innovation within theoretical and methodological antecedents for rapid appraisal, we show how strong local ownership can facilitate innovation, rapid research and strong policy engagement amidst even the most difficult research conditions. Such rapid surveys and analysis must remain a research priority in times of crisis. Academic researchers in partner organisations further afield must ask important questions around how they can best support such locally-led research initiatives: in preparing for, analysing or writing up the research or in joining efforts to communicate them to wider communities of policy-makers and practitioners globally.

COVID-19 and the case for global development.

COVID-19 accentuates the case for a global, rather than an international, development paradigm. The novel disease is a prime example of a development challenge for all countries, through the failure of public health as a global public good. The COVID-19 pandemic has highlighted the falsity of any assumption that the global North has all the expertise and solutions to tackle global challenges, and has further highlighted the need for multi-directional learning and transformation in all countries towards a more sustainable and equitable world. We illustrate our argument for a global development paradigm by examining the implications of the COVID-19 pandemic across four themes or 'vignettes': global value chains, digitalisation, debt, and climate change. We conclude that development studies must adapt to a very different context from when the field emerged in the mid-20th century.