The World Bank is working toward two incredibly ambitious goals: ending extreme poverty by 2030 and ensuring shared prosperity for the bottom 40% of the population in each developing country. To achieve these goals will take not only the World Bank Group, the United Nations and all the national and multilateral development agencies, it will take all of us.
We are told, on average, around 200 lies per day. Most of these lies are harmless and meant to protect the self-esteems of the liar or the one being lied to. However, as technology and social media become more integral to our lives, how will our ability to deceive change?
As technology and the so-called ‘Internet of Things’ becomes more pervasive in our lives, the amount of information we leave as online bread crumbs also expands. Online advertising companies, for instance, collect huge amounts of information about our browsing histories, which can unearth a pretty comprehensive profile of what we've been up to on the Internet— and by extension in reality. Moreover, smartphones are very sophisticated tracking and eavesdropping devices that follow our every move, from fitness tracking and location services to text messages and social media apps.
As individuals, we can manipulate our online personas so that only the best of us is shown. We may post photographs of our vacations, tweet about our chance encounters with celebrities, or write status updates that sound optimistic and cheerful— all the while omitting our headaches and heartaches. But what happens when our Fitbits reveal our connection to our sofas or our smartphones expose our in previously denied affection for Taylor Swift?
In a paper published in the Vanderbilt Journal of Entertainment & Technology Law in 2012 Kathryn R. Brown distilled research on social media psychology and found that users screen photographs of themselves in order to present themselves as “attractive” and “having fun”. She also found that they adjust their personas to seem “socially desirable,” “group-oriented,” and “smiling.” At the same time, “individuals are unlikely to capture shameful, regrettable, or lonely moments with a camera.”
At the start of 2016, the United Nations will launch a new set of Sustainable Development Goals, or SDGs, to drive development efforts around the globe. But one question still needs some thought: How will we finance these new goals?
Even more questions lie within this broader question on finance. Which countries need more resources? What types of resources are needed most? Where does international finance, both public and private, currently flow? Where does it not? Answers to all of these require reliable and easy-to-understand data on all international financial flows.
When governments convene in July in Addis Ababa, Ethiopia to agree on a framework for financing the new sustainable development agenda, there will be a key window of opportunity to improve the existing, haphazard approach to data collection and reporting.
Storytelling is essential to persuasion. But how do we decide which stories to tell? Heather Lanthorn reviews median impact narratives and explains why they are more than just window dressing.Way back in January, an interesting conversation took place on the Development Impact blog; I am just catching up on the conversation. The conversation featured a 7 January guest post by Bruce Wydick, who advocated the idea of “median impact narratives,” and subsequent commentary.
In short, Bruce recognizes that even when solid quantitative causal evidence exists,
“A good narrative soundly beats even the best data. Economists and scientists of all ilks need to digest what for many is an unpleasant fact: In the battle for hearts and minds of human beings, narrative will consistently outperform data in its ability to influence human thinking and motivate human action.”
Bruce further points out (to take a bit of liberty with his words) that, sadly, Stalin was right about at least one thing (to paraphrase): a single death is a tragedy while a million deaths is a statistic. And people do rather better with making sense of and feeling empathy for a single victim (or success) than for a large number of statistical people and their myriad outcomes (e.g.). This leads Bruce to an important question: how to choose which individuals to highlight? What Bruce’s post gets around to (and as he confirmed with me in a follow-up email, thank you!) is really a question about sampling for qualitative research and placing (and valuing) anecdotes within the context of the study sample and population.
This aerial view of Hanoi, Vietnam, clearly shows areas of decreasing density between the city and the countryside, making it hard to define the limits of the "urban" area.
In everyday usage, terms related to human settlements have vague, shifting meanings. What one person might describe as a small ‘city’ might be a ‘town’ or ‘village’ for someone else; one person’s ‘megacity’ might be a cluster of cities from a different perspective. Similarly, we can usually identify areas that are clearly within a city and others that are outside it, but there is usually a peri-urban area of intermediate density that usually lies between the two, making it hard to define a clear city limit. Formal administrative boundaries may have historic or political meaning, but are rarely aligned with the physical or economic extents of the urban area.
What exactly is a city? It depends who you ask
It turns out there is no standard international definition of an ‘urban’ area or ‘urban’ population. Each country has its own definition, and collects data accordingly. The statistic that 50% of the world’s population is urban is arrived at simply by adding up these incomparable, and sometimes conflicting, definitions.
It’s not what you spend
FOR decades rich countries have sought to foster global development with aid. But all too often there is little to show for their spending, now over $135 billion a year and rising. Success depends on political will in recipient countries, says Erik Solheim of the Development Assistance Committee of the OECD, a club of mostly rich countries that includes the biggest donors. And that may well be lacking. What donors will pay for may not be what recipients deem a priority. So poor countries’ governments say what they must to get cash, and often fail to keep their side of the deal. Aid to build schools may be used to give fat contracts to allies, and the schools left empty. Ambulances bought by donors may rust on the kerb, waiting for spare parts. Now donors are trying a new approach: handing over aid only if outcomes improve. “Cash on delivery” sees donors and recipients set targets, for example to cut child mortality rates or increase the number of girls who finish school, and agree on how much will be paid if they are met.
Forget The Fitbit: Can Wearables Be Designed For The Developing World?
When we think of wearable technology today, we think of the Fitbits or the Apple Watch. But to many people, tracking our steps or sleep in unprecedented detail or getting a notification slightly faster is interesting but ultimately not quite useful enough. The quantified self, in the context of people who have access to any technology they want, can be inherently self-absorbed. Imagine a different use case: An impoverished woman in rural Africa, pregnant with her first child and many miles away from medical care. Here, a wearable that helps her track her pregnancy and let her know if she needs to get to a doctor could mean life or death for her unborn child.
Guest post from the beach big Data Festival in Cartagena, Colombia, by Oxfam’s Head of Research and paid up member of the numerati, Ricardo Fuentes-Nieva (@rivefuentes)
A spectre is haunting the hallways of the international bureaucracy and national statistical offices – the spectre of the data revolution. Now, that might suggest a contradiction in terms or the butt of a joke – it’s hard to imagine a platoon of bespectacled statisticians with laptops and GIS devices toppling governments. But something important is indeed happening – let me try and convince you.
A new research report by ODI “Data Revolution – Finding The Missing Million” (launched yesterday in Cartagena during a Data Festival) tries to make sense of the coming data revolution, and what it means for international development. According to the authors: The data revolution is “an explosion in the volume of data, the speed with which data are produced, the number of producers of data, the dissemination of data, and the range of things on which there are data, coming from new technologies such as mobile phones and the internet of things and from other sources, such as qualitative data, citizen-generated data and perceptions data.”
For the numerically minded (I proudly include myself in this group) this is a rather welcome transformation. Data, data everywhere – but then why haven’t we, number geeks, solved all of the world’s problems yet?
Today we launch our report The Global Findex Database 2014: Measuring Financial Inclusion around the World and The 2014 Global Findex database, an updated edition of what is by far the world’s most comprehensive gauge of global progress on financial inclusion. You may also find the database on the Development Data Group's Data Catalog.
Want to learn how many adults own a bank account worldwide? Right this way. What happens with the gender gap when you break it down by country and region? We’ve got the stats … Check. Where is mobile money making the biggest inroads, and what are the impacts? Check ... Check. How do adults save and borrow money, as well as manage financial risk? Check … Check … Check!