Decided that the easiest way to summarize a bunch of the stuff that I read during the week is to start a weekly summary and review of some of the articles and papers I found interesting.
So on to the links:
- Undernutrition: the invisible killer of 3 million children a year – A nice summary of many of the effects of malnutrition in children. There isn’t anything particularly new in the article. Nevertheless, I think it is important to keep highlighting the topic due to the enormous value to society of tackling and correcting child malnutrition.
- 45-Year Trends in Women’s Use of Time and Household Management Energy Expenditure – Seemed to attract some controversy on the NY Times website, because people interpreted it as sexist and that the report was suggesting that women’s greater participation in the labor force was leading to their obesity. This is an incorrect interpretation. The report is the second part of an overall study looking at levels of activity today vs. 50 years ago. The first report looked primarily at office activity, which showed less physical activity today compared to 50 years. This second report was needed because women were underrepresented in the first report because of the lower level of labor participation by women 50 years ago. Therefore, this paper looked at the activity level of doing household chores 50 years ago as compared to doing the same chores today or activity in the office. The overall take away from both of these studies is that people are significantly less active today then they were 50 years ago, in large part due to greater automation and use of new technologies. Not sure what is controversial about this conclusion. It seems like it is a good first step in testing the anecdotal hypothesis of less physical activity contributing to increasing obesity in the U.S.A.
- How USAID Could Score a Double-Win for Learning and Transparency – Greater sharing of data in development would be a huge plus. This article covers some excellent benefits that could be achieved by sharing the raw data of development interventions. Sarah Rose (author) points to improvements in transparency, and ensuring the quality of reported development results. However, Rose didn’t mention another major benefit, which is the power of cloud sourcing analysis. Development practitioners use their data for their own specific objectives. They collect all of their data usually with a very specific task in mind. However, all this information maybe very valuable for a wide array of other uses. By freely sharing it, who knows what independent data users and analysts might be able to make of data. There are undoubtedly thousands of interesting side-effects of development interventions that may be missed by the development agency. Or entirely new connections observable in the data that the data collectors may never have found.
- Measuring impact: Keep it clear and simple – Article from Stanford Social Innovation Review. Makes the point of the importance of measurement in development. I do agree on the importance of measurement, I am not as much of a fan of the KISS (keep it simple stupid) principle. Yes having clear objectives that we can measure progress toward is critical. However, I am less enthusiastic about focusing only on simple metrics. I am concerned only trying to influence things we can easily measure. Entire fields of development could be ignored, especially in areas like institution and political reform. Economic development isn’t easy. Communities are complex systems, looking for simple changes can encourage a sort of checklist mentality that implies development is just a long to-do list. We should instead be thinking about the complex interactions between people and institutions and the incentives that drive both. Certainly there can be simple changes that dramatically change systems, but we shouldn’t just get involved on easily measurable goals. This should instead encourage us to find ways to measure progress on more complex objectives. I have no doubts that simple goals make fund raising much easier, and that it is a lot easier to show that you are achieving your limited objectives. It is less clear if this would lead to overall better development outcomes if applied widely. While I am skeptical on simplicity in development, I wholeheartedly agree with one of the other points made in the article – the need to use longer term budgets in development. Far too many projects are designed around annual and biannual budgets. This isn’t realistic. Change takes time, we need to have development budgets that take this into account and allow for greater stability, such that development agencies can plan long term interventions with the necessary follow up with the knowledge that the funding will be there in the later stages of the project.