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COVID-19 has severely impacted the society not only in terms of health but also in terms of economic survival of individuals. Unless adequate support is provided, the pandemic will have long-lasting effects, especially on the lives of the most vulnerable, often working in the informal sector. In this article, we present a case study drawing on systems thinking and complexity theory, outlining how the city of Mumbai has responded to COVID-19. We find a multifaceted scenario where non-profit organizations, businesses and citizen volunteers operate alongside government bodies to support Mumbai's population to overcome this pandemic. We provide broader policy lessons, as well as more specific lessons in relation to particular actors, from the first wave of the pandemic stressing the importance of becoming 'systems thinkers' and highlighting the importance of forming new partnerships and exploring new modes of knowledge sharing to effectively respond to crises.

Feminist scholars have long debated quantification trends in the social sciences. Of particular concern has been the extent to which the prestige assigned to quantitative methods may reinforce 'malestream' dynamics in academic knowledge production. 'Malestream' dynamics include the (implicit or explicit) privileging of a male-centric lens in the research process and the association of 'hard' numerical data with notions of 'scientifically superior' masculinity. We build on these discussions by asking how the rise in quantitative writings may affect gender disparities in the civil war literature. Using descriptive data from a newly coded dataset that contains 1,851 articles published in high-ranking journals between 1998 and 2018, we, firstly, illustrate how – in the generally male-dominated field of civil war research – the author gender gap is particularly pronounced among quantitative writings. Secondly, we present an in-depth discussion of three articles that use statistical analysis to test the effects of violence on prospects of post-traumatic growth. A distinct difference between the three articles is that they tend to be more sceptical of arguments on 'positive change' following violence the more account they take of gender differentiation in their theoretical framing and/or empirical identification strategy. All in all, our arguments call for greater awareness of gender bias in quantitative research, and for more rigour in currently hegemonic standards of what 'counts' as reliable evidence.

There is a growing demand for replications of authoritative works in development studies, which reflects recent trends in other social sciences as well as challenges to important quantitative works in development studies where replications have made contested contributions to understanding. At the same time, there is a strong trend within development towards adoption of medical models of evidence-based policy to find out what policies and interventions work. Replication is a key practice of medical (and natural science) research and was advocated frequently over several decades without success. This article addresses the incentives for replication going beyond a narrow focus on extrinsic rewards, reviews some significant examples, discusses behaviour during replication and draws lessons for replicators and replicatees.

Chemin, Matthieu: Response to 'High Noon for microfinance impact evaluations'. - In: The journal of development studies. - 48 (December 2012) 12. - S. 1881-1885