Peter Braude and Martin Johnson were young researchers, a doctor and a scientist, working with Robert Edwards at Cambridge. They both witnessed (from the inside) how the IVF programme and first birth changed the worlds of science and O&G over the next forty years. Johnson wrote Edward’s citation for the Nobel Prize. They are uniquely placed to act as a bridge from 1979 into speculating about the future and whether the course of science can even be predicted.

This Chapter brings together key themes running through the book. Its central argument is that the Rana Plaza disaster initiated a number of responses which had at their centre the aim of building institutions for worker representation across global supply chains: transnational industrial democracy. However, to adapt to the political and economic context of global supply chains, this was very much a market driven form of democracy. The chapter goes on to highlight the key features of this approach, as well as its structural limitations. We conclude by highlighting that key lessons can be drawn to inform future initiatives to develop worker representation in supply chains.

This last, consolidating chapter has four goals. The first is consolidation: we specify appropriate case selection strategies for research using QCA and summarize an integrated protocol for analyzing set relations in an iterative manner, which bases inferences on cross-case patterns, knowledge of individual cases, and external knowledge. This protocol follows three main steps both for necessary and for sufficient conditions: determining empirical consistency, empirical importance, and substantive importance. The second goal is to broaden the perspective: we discuss the diverse variants, uses, and analytic goals of QCA in different research designs. We argue that for deriving valid inferences with QCA, it is important to coherently choose tools in line with analytic approaches. Third, we summarize and update good practices for conducting QCA and presenting and visualizing its results. Lastly, we map exciting developments that are likely to shape the field in the foreseeable future, including a summary of prominent software functionality.

Learning goals:

- Consolidated knowledge of the analytic protocol of QCA.

- Overview of different uses of QCA, their analytic goals and corresponding tools.

- Overview of recommendations for good practice and transparency before, during, and after the analytic moment.

- Outlook of possible developments in the field.