World Development Report (WorldBank): “Every policy relies on explicit or implicit assumptions about how people make choices. Those assumptions typically rest on an idealized model of how people think, rather than an understanding of how everyday thinking actually works. This year’s World Development Report argues that a more realistic account of decision-making and behavior will make development policy more effective. The Report emphasizes what it calls “the three marks of everyday thinking.” In everyday thinking, people use intuition much more than careful analysis. They employ concepts and tools that prior experience in their cultural world has made familiar. And social emotions and social norms motivate much of what they do. These insights together explain the extraordinary persistence of some social practices, and rapid change in others. They also offer new targets for development policy. A richer understanding of why people save, use preventive health care, work hard, learn, and conserve energy provides a basis for innovative and inexpensive interventions. The insights reveal that poverty not only deprives people of resources but is an environment that shapes decision making, a fact that development projects across the board need to recognize. The insights show that the psychological foundations of decision making emerge at a young age and require social support. The Report applies insights from modern behavioral and social sciences to development policies for addressing poverty, finance, productivity, health, children, and climate change. It demonstrates that new policy ideas based on a richer view of decision-making can yield high economic returns. These new policy targets include: • the choice architecture (for example, the default option) • the scope for social rewards • frames that influence whether or not a norm is activated • information in the form of rules of thumb • opportunities for experiences that change mental models or social norms Finally, the Report shows that small changes in context have large effects on behavior. As a result, discovering which interventions are most effective, and with which contexts and populations, inherently requires an experimental approach. Rigor is needed for testing the processes for delivering interventions, not just the products that are delivered…”
Big video data could change how we do everything — from catching bad guys to tracking shoppers
Sean Varah at VentureBeat: “Everyone takes pictures and video with their devices. Parents record their kids’ soccer games, companies record employee training, police surveillance cameras at busy intersections run 24/7, and drones monitor pipelines in the desert.
With vast amounts of video growing vaster at a rate faster than the day before, and the hottest devices like drones decreasing in price and size until everyone has one (OK, not in their pocket quite yet) it’s time to start talking about mining this mass of valuable video data for useful purposes.
Julian Mann, the cofounder of Skybox Imaging — a company in the business of commercial satellite imagery and the developer advocate for Google Earth outreach — says that the new “Skybox for Good” program will provide “a constantly updated model of change of the entire planet” with the potential to “save lives, protect the environment, promote education, and positively impact humanity.”…
Mining video data through “man + machine” artificial intelligence is new technology in search of unsolved problems. Could this be the next chapter in the ever-evolving technology revolution?
For the past 50 years, satellite imagery has only been available to the U.S. intelligence community and those countries with technology to launch their own. Digital Globe was one of the first companies to make satellite imagery available commercially, and now Skybox and a few others have joined them. Drones are even newer, having been used by the U.S. military since the ‘90s for surveillance over battlefields or, in this age of counter-terrorism, playing the role of aerial detectives finding bad guys in the middle of nowhere. Before drones, the same tasks required thousands of troops on the ground, putting many young men and women in harm’s way. Today, hundreds of trained “eyes” safely located here in the U.S. watch hours of video from a single drone to assess current situations in countries far away….”
Bringing the data revolution to education, and education to the data revolution
Pauline Rose at Post2015.org: “Calls for a data revolution are putting the spotlight on the importance of more and better data as a means to hold policymakers to account for post-2015 goals. In many ways, education has been at the forefront of approaches to measuring progress over the past 15 years. The influence of the Education for All Global Monitoring Report (GMR) and the efforts of the UNESCO Institute for Statistics (UIS) in improving the availability of education data provide important lessons for tracking progress post-2015. This experience should play an important contribution to informing the practical next steps for the data revolution.
Building on this experience, a roundtable held at the Overseas Development Institute on 17 November brought together over 40 technical experts, who debated approaches to measuring progress towards post-2015 education targets, with a focus on learning and equity. The meeting coincided with the launch of consultation on post-2015 education indicators by the Technical Advisory Group (TAG) to the EFA Steering Committee. As noted in the opening remarks on the data revolution by Neil Jackson, Chief Statistician at DFID, in many ways the education sector is leading the way in thinking about how to monitor post-2015 progress in concrete ways.
One of the problems that the GMR and UIS faced in tracking progress over the past 15 years was that indicators were not set at the time of deciding on education for all goals in 2000, hence the importance of the current consultation process. Another was that data have not been available a sufficiently disaggregated form to track progress on the most disadvantaged subgroups within each country, that is those most likely to be left behind. The GMR’s World Inequality Database on Education (WIDE), drawing on internationally-comparable household survey data, has been one step forward in presenting data in an accessible format to show that the poorest children living in rural areas, and often girls, are still far from completing primary school in many countries, and that many are also not learning the basics in reading and mathematics even if they have spent time in school….”
Using twitter to get ground truth on floods
Interview with Floodtags founder Jurjen Wagemaker at Global Pulse: “…Twtitter has proved to be a fantastic flood monitor tool and we encourage people to share even more of their flood experiences on Twitter. Now the difficult part is, to create the right flood filters and enrichments, so that disaster managers only need to look at a fraction of the hundreds of thousands of observations coming in.
So we enrich and analyse all flood data in real-time, and present them in an understandable format through our web service. A good example is the water depth of a flood. It turns out that a large number of people both mention the flood depth as well as the location where they monitored it. Take for instance January 29th, 2014: out of the 360.000 tweets we collected on floods, 15.000 included water depth observations (see picture). Together with the Dutch water management institute Deltares (@arnejanvl) we are working to develop a sound interpretation framework for these observations to create real-time floodmaps. For reference, to make a reliable floodmap of the January 2013 flood took a total of nine days. This was thanks to the hard work of the disaster management office and the HOT team (Humanitarian OpenStreetMap Team)….
We will launch the site at the upcoming Data Innovation for Policy Makers conference in Bali. And from that date onwards you can use Floodtags to get realtime flood information in Indonesia. Just go to Floodtags.com and sign-up. Especially when it rains it can become quite interesting: you can search for different neighbourhoods and see what people tweeted and how deep the water is. There is also a realtime tweet density map and you can request tweet statistics (e.g. figure 5, where we compare flood tweets with flood response tweets) – and we have got so much more to come. “
The Year of Data-Driven Government Accountability
in Pacific Standard: “Indeed, 2014 could be called the Year of Government Accountability, as voters on just about every continent have demanded that public officials govern with relentless efficiency, fiscal responsibility, and transparency….
The bottom line, in my view, is that facts must be the fundamental basis for critical and strategic decision-making at every level of government around the world today.
This belief—the foundation of massive technology and social movements, such as open data, big data, and data-driven government—is currently shared by a number of global government leaders. Just recently, for example, President Obama declared that “We must respond based on facts, not fear” when confronting the global Ebola crisis.
To be sure, presenting facts to decision-makers where and when they are needed is one of the most urgent technology priorities of our time. The good news is that we’re seeing progress on this front each and every day as civic organizations around the world rush to open their vast troves of data on the Internet and usher in a new era in data-driven government that will produce facts at the speed of light, and deliver them in context to political leaders, everyday citizens, professional academicians, scientists, journalists, and software developers wherever they are connected to the Web.
Data-driven government, which capitalizes on data, one of the most valuable natural resources of the 21st century, is a breakthrough opportunity of truly significant proportions. And it will be absolutely critical if governments everywhere are to achieve their ultimate mission. Without it, I worry that we just won’t be able to provide citizens with a higher quality of life and with greater opportunities to achieve their full potential.
The Paradox of Openness
New Book on Transparency and Participation in Nordic Cultures of Consensus, edited by Norbert Götz, Södertörn University, and Carl Marklund, Södertörn University: “The ‘open society’ has become a watchword of liberal democracy and the market system in the modern globalized world. Openness stands for individual opportunity and collective reason, as well as bottom-up empowerment and top-down transparency. It has become a cherished value, despite its vagueness and the connotation of vulnerability that surrounds it. Scandinavia has long considered itself a model of openness, citing traditions of freedom of information and inclusive policy making. This collection of essays traces the conceptual origins, development, and diverse challenges of openness in the Nordic countries and Austria. It examines some of the many paradoxes that openness encounters and the tensions it arouses when it addresses such divergent ends as democratic deliberation and market transactions, freedom of speech and sensitive information, compliant decision making and political and administrative transparency, and consensual procedures and the toleration of dissent.”
Big Data: The Key Vocabulary Everyone Should Understand
Bernard Marr at LinkedIn Pulse: “The field of Big Data requires more clarity and I am a big fan of simple explanations. This is why I have attempted to provide simple explanations for some of the most important technologies and terms you will come across if you’re looking at getting into big data.
Here they are:
Algorithm: A mathematical formula or statistical process run by software to perform an analysis of data. It usually consists of multiple calculations steps and can be used to automatically process data or solve problems.
Amazon Web Services: A collection of cloud computing services offered by Amazon to help businesses carry out large scale computing operations (such as big data projects) without having to invest in their own server farms and data storage warehouses. Essentially, Storage space, processing power and software operations are rented rather than having to be bought and installed from scratch.
Analytics: The process of collecting, processing and analyzing data to generate insights that inform fact-based decision-making. In many cases it involves software-based analysis using algorithms. For more, have a look at my post: What the Heck is… Analytics
Big Table: Google’s proprietary data storage system, which it uses to host, among other things its Gmail, Google Earth and Youtube services. It is also made available for public use through the Google App Engine.
Biometrics: Using technology and analytics to identify people by one or more of their physical traits, such as face recognition, iris recognition, fingerprint recognition, etc. For more, see my post: Big Data and Biometrics
Cassandra: A popular open source database management system managed by The Apache Software Foundation that has been designed to handle large volumes of data across distributed servers.
Cloud: Cloud computing, or computing “in the cloud”, simply means software or data running on remote servers, rather than locally. Data stored “in the cloud” is typically accessible over the internet, wherever in the world the owner of that data might be. For more, check out my post: What The Heck is… The Cloud?
Distributed File System: Data storage system designed to store large volumes of data across multiple storage devices (often cloud based commodity servers), to decrease the cost and complexity of storing large amounts of data.
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See also: Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisions and Improve Performance
The Technology of Us
New Book and website: “If automation was the mantra for technology to date, is humanization the calling for technology in the future? The Technology of Us is a discussion hosted by TeleTech CEO Ken Tuchman that explores this question from the perspective of top intellectuals, scientists, designers and business innovators. This collection of essays and interviews demonstrates how technology is pushing humankind into a new stage of evolution, with as many massive implications for modern business as for our individual lives….”
Anyone can now crowdfund their legal battle
Springwise: “Platforms such as Indiegogo and Kickstarter have helped to prove that crowdfunding is now a viable option for entrepreneurs wanting to get a product off the ground, but both still have strict rules about what can be funded (despite the latter relaxing theirs earlier this year). There has been a push to create more social crowdfunding platforms however, and we’ve seen Watsi let donors pledge money to individuals’ healthcare needs. Now the legal industry has got its own crowdfunding site. New York’s Lexshares is getting investors to provide support to those who can’t afford the high costs of court battles.
Legal fights can be incredibly expensive, and if you want a good lawyer than plaintiffs will need to cough up. Unfortunately, those with a case may not have the funds to bring their battle to court and end up with an injustice going unchallenged. LexShares helps connect those people and businesses with investors that could help front the legal costs of taking their opponent to trial.
Specializing in ‘David and Goliath’ cases between small businesses and large corporations and multinationals, anyone can send their case in to be reviewed by LexShares’ team of law professionals. If they believe it has a chance, it’s posted on the site for investors to review. Anyone who wants to support the case can decide how much they want to invest. If it’s successful, investors receive a return of any legal fees and damages recovered through the trial, but if it fails the plaintiff doesn’t need to pay them anything. Investors can track each case through the LexShares dashboard.
LexShares aims to help businesses who might otherwise not have the capital to take their case to court. However, the company may need to be careful that the platform doesn’t turn the legal process into a betting platform for investors. Could this type of crowdfunding work for individuals who typically find it hard to get representation?
Website: www.lexshares.com“
Forget the FOIA Request: Cities, States Open Data Portals
Alexa Capeloto in MediaShift (PBS): “In almost any city you can read your local leaders’ emails if you formally ask for them. In Gainesville, Fla., all you have to do is go here.
In most states you can find out how tax dollars are being spent if you officially request expenditure records. In Wisconsin, you just click here.
For the last 50 years, governments have given up public records in response to Freedom of Information requests. But a number of public agencies are learning the value of proactively providing information before anyone has to ask for it.
The trend is part of the open-data movement that most large cities and the federal government have already begun to embrace. The information itself can range from simple emails to complex datasets, but the general idea is the same: Deliver information directly to the public using digital tools that can save money and serve the goal of government transparency.
…And there’s the added benefit of helping the bottom line. Users don’t have to request information if it’s already posted, saving agencies time and money, and a centralized FOIA tracking system can further streamline processing.
Sean Moulton of the Center for Effective Government testified before Congress that full participation in FOIAonline could save federal agencies an estimated $40 million per year in processing costs.
And Reinvent Albany, a nonprofit that pushes for transparency in New York, estimated in a June report that New York City could reduce FOI-related costs by 66 percent – from $20 million per year down to $7 million – by adopting an open-data system and doing away with its “hodgepodge of paper-based methods that are expensive, slow and unreliable.”
So…What’s the Catch?
In their survey, chief information officers were asked to name the top three barriers to advancing open data in state government. Fifty-three percent cited “agencies’ willingness to publish data,” and 49 percent cited “the reliability of the data.”
Information is of little value to the public if it’s faulty or too complex to understand. It could become a way for agencies to claim they’re being transparent without actually providing anything useful.
Plus, some worry that public servants will self-censor if they know, for example, their emails are automatically being shared with the world….”