This website can tell what kind of person you are based on where you live. See for yourself what your ZIP code says about you


Meira Geibel at Business Insider:

  • “Esri’s Tapestry technology includes a ZIP code look-up feature where you can see the top demographics, culture, and lifestyle choices in your area.
  • Each ZIP code shows a percentage breakdown of Esri’s 67 unique market-segment classifications with kitschy labels like “Trendsetters” and “Savvy Suburbanites.”
  • The data can be altered to show median age, population density, people with graduate and professional degrees, and the percentage of those who charge more than $1,000 to their credit cards monthly.

Where you live says a lot about you. While you’re not totally defined by where you go to sleep at night, you may have more in common with your neighbors than you think.

That’s according to Esri, a geographic-information firm based in California, which offers a “ZIP Lookup” feature. The tool breaks down the characteristics of the individuals in a given neighborhood by culture, lifestyle, and demographics based on data collected from the area.

The data is then sorted into 67 unique market-segment classifications that have rather kitschy titles like “Trendsetters” and “Savvy Suburbanites.”

You can try it for yourself: Just head to the website, type in your ZIP code, and you’ll be greeted with a breakdown of your ZIP code’s demographic characteristics….(More)”.

What Sustains Individuals’ Participation in Crowdsourcing Contests?


Paper by Xuan Wang et al: Crowdsourcing contests have become widely adopted for idea generation and problem-solving in various companies in different industries. The success of crowdsourcing depends on the sustained participation and quality-submissions of the individuals. Yet, little is known about the factors that influence individuals’ continued participation in these contests. We address this issue, by conducting an empirical study using data from an online crowdsourcing contest platform, Kaggle, which delivers data science and machine learning solutions and models to its clients.

The findings show that the community activities and team activities do not contribute to motivating the continued participation, but tenure does significantly affect the continued participation. We also found statistically significant effects of amount of prize, number of competitions, previous team performance, and competition duration on individuals sustained participation in crowdsourcing contests. This research contributes to the literature by identifying the factors influencing individuals’ sustained participation in crowdsourcing contests…(More)”.

“Giving something back”: A systematic review and ethical enquiry into public views on the use of patient data for research in the United Kingdom and the Republic of Ireland


Paper by Jessica Stockdale, Jackie Cassell and Elizabeth Ford: “The use of patients’ medical data for secondary purposes such as health research, audit, and service planning is well established in the UK, and technological innovation in analytical methods for new discoveries using these data resources is developing quickly. Data scientists have developed, and are improving, many ways to extract and process information in medical records. This continues to lead to an exciting range of health related discoveries, improving population health and saving lives. Nevertheless, as the development of analytic technologies accelerates, the decision-making and governance environment as well as public views and understanding about this work, has been lagging behind1.

Public opinion and data use

A range of small studies canvassing patient views, mainly in the USA, have found an overall positive orientation to the use of patient data for societal benefit27. However, recent case studies, like NHS England’s ill-fated Care.data scheme, indicate that certain schemes for secondary data use can prove unpopular in the UK. Launched in 2013, Care.data aimed to extract and upload the whole population’s general practice patient records to a central database for prevalence studies and service planning8. Despite the stated intention of Care.data to “make major advances in quality and patient safety”8, this programme was met with a widely reported public outcry leading to its suspension and eventual closure in 2016. Several factors may have been involved in this failure, from the poor public communication about the project, lack of social licence9, or as pressure group MedConfidential suggests, dislike of selling data to profit-making companies10. However, beyond these specific explanations for the project’s failure, what ignited public controversy was a concern with the impact that its aim to collect and share data on a large scale might have on patient privacy. The case of Care.data indicates a reluctance on behalf of the public to share their patient data, and it is still not wholly clear whether the public are willing to accept future attempts at extracting and linking large datasets of medical information. The picture of mixed opinion makes taking an evidence-based position, drawing on social consensus, difficult for legislators, regulators, and data custodians who may respond to personal or media generated perceptions of public views. However, despite differing results of studies canvassing public views, we hypothesise that there may be underlying ethical principles that could be extracted from the literature on public views, which may provide guidance to policy-makers for future data-sharing….(More)”.

The Concept of the Corporation


John Kay: “For the past fifty years or so, the economic theory of the firm has been based on the paradigmatic model of corporate activity which perceives the firm as a nexus of contracts, its boundaries defined by the relative transaction costs of market-based and hierarchical organisation.  Issues of both corporate governance and corporate management are seen as principal-agent problems, to be resolved by the establishment of appropriate incentives.  This approach has had considerable influence on corporate behaviour and on public policy.  Business has placed ever-greater emphasis on ‘shareholder value’ and incentive-based schemes of executive remuneration have become widespread.

            In this paper, I describe the origins, development and effect of the ‘markets and hierarchies’ approach.  I argue that this reductionist account fails at a political level, giving no coherent account of the legitimacy of such corporate activity – that is, no answer to the question ‘what gives them the right to do that?’ – and additionally that the model bears little relation to the reality of successful corporations.  I describe an alternative tradition in the understanding of business, owing more to organisation theory, corporate strategy and business history, which treats the concept of corporate personality as more than a legal doctrine.  In this view, corporations are social organisations: their competitive advantage is based on distinctive capabilities which are the product of their history, their internal architecture and organisational design, and the relationships with employers, customers, suppliers and commentators at large which arise from them.  This is not just a more plausible account of what firms actually do: by recognising the social foundations of corporations, we are better placed to understand how and why corporations and their varied stakeholders succeed…(More)”

Does good governance foster trust in government? A panel data analysis


Paper by Jonathan Spiteri and Marie Briguglio: “This study examines the relationship between good governance and trust in government. It sets out to test which aspects of good governance, if any, foster strong trust in government. We construct a panel data set drawn from 29 European countries over the period 2004 to 2015. The data set includes measures of government trust, six different dimensions of good governance, as well as variables on GDP growth and income inequality.

We find that freedom of expression and citizen involvement in the democratic process, to be the good governance dimension that has the strongest relationship with government trust, across all specifications of our regression models. We also find that real GDP growth rates have a significant (albeit weaker) relationship with trust in government. Our results suggest that certain elements of good governance foster trust in government over and above that generated by economic success. We discuss the implications of these findings in light of declining levels of public trust in government around the world….(More)”.

The 2019 Edelman Trust Barometer


Press Release: “The 2019 Edelman Trust Barometer reveals that trust has changed profoundly in the past year—people have shifted their trust to the relationships within their control, most notably their employers. Globally, 75 percent of people trust “my employer” to do what is right, significantly more than NGOs (57 percent), business (56 percent) and media (47 percent).

Divided by Trust

There is a 16-point gap between the more trusting informed public and the far-more-skeptical mass population, marking a return to record highs of trust inequality. The phenomenon fueling this divide was a pronounced rise in trust among the informed public. Markets such as the U.S., UK, Canada, South Korea and Hong Kong saw trust gains of 12 points or more among the informed public. In 18 markets, there is now a double-digit trust gap between the informed public and the mass population.

2019 Edelman Trust Barometer - Trust Inequality

An Urgent Desire for Change

Despite the divergence in trust between the informed public and mass population the world is united on one front—all share an urgent desire for change. Only one in five feels that the system is working for them, with nearly half of the mass population believing that the system is failing them.

In conjunction with pessimism and worry, there is a growing move toward engagement and action. In 2019, engagement with the news surged by 22 points; 40 percent not only consume news once a week or more, but they also routinely amplify it. But people are encountering roadblocks in their quest for facts, with 73 percent worried about fake news being used as a weapon.

Trust Barometer - News Engagement

The New Employer-Employee Contract

Despite a high lack of faith in the system, there is one relationship that remains strong: “my employer.” Fifty-eight percent of general population employees say they look to their employer to be a trustworthy source of information about contentious societal issues.

Employees are ready and willing to trust their employers, but the trust must be earned through more than “business as usual.” Employees’ expectation that prospective employers will join them in taking action on societal issues (67 percent) is nearly as high as their expectations of personal empowerment (74 percent) and job opportunity (80 percent)….(More)”.

Looking after and using data for public benefit


Heather Savory at the Office for National Statistics (UK): “Official Statistics are for the benefit of society and the economy and help Britain to make better decisions. They allow the formulation of better public policy and the effective measurement of those policies. They inform the direction of economic and commercial activities. They provide valuable information for analysts, researchers, public and voluntary bodies. They enable the public to hold organisations that spend public money to account, thus informing democratic debate.

The ability to harness the power of data is critical in enabling official statistics to support the most important decisions facing the country.

Under the new powers in the Digital Economy Act , ONS can now gain access to new and different sources of data including ‘administrative’ data from government departments and commercial data. Alongside the availability of these new data sources ONS is experiencing a strong demand for ad hoc insights alongside our traditional statistics.

We need to deliver more, faster, finer-grained insights into the economy and society. We need to deliver high quality, trustworthy information, on a faster timescale, to help decision-making. We will increasingly develop innovative data analysis methods, for example using images to gain insight from the work we’ve recently announced on Urban Forests….

I should explain here that our data is not held in one big linked database; we’re architecting our Data Access Platform so that data can be linked in different ways for different purposes. This is designed to preserve data confidentiality, so only the necessary subset of data is accessible by authorised people, for a certain purpose. To avoid compromising their effectiveness, we do not make public the specific details of the security measures we have in place, but our recently tightened security regime, which is independently assured by trusted external bodies, includes:

  • physical measures to restrict who can access places where data is stored;
  • protective measures for all data-related IT services;
  • measures to restrict who can access systems and data held by ONS;
  • controls to guard against staff or contractors misusing their legitimate access to data; including vetting to an appropriate level for the sensitivity of data to which they might have access.

One of the things I love about working in the public sector is that our work can be shared openly.

We live in a rapidly changing and developing digital world and we will continue to monitor and assess the data standards and security measures in place to ensure they remain strong and effective. So, as well as sharing this work openly to reassure all our data suppliers that we’re taking good care of their data, we’re also seeking feedback on our revised data policies.

The same data can provide different insights when viewed through different lenses or in different combinations. The more data is shared – with the appropriate safeguards of course – the more it has to give.

If you work with data, you’ll know that collaborating with others in this space is key and that we need to be able to share data more easily when it makes sense to do so. So, the second reason for sharing this work openly is that, if you’re in the technical space, we’d value your feedback on our approach and if you’re in the data space and would like to adopt the same approach, we’d love to support you with that – so that we can all share data more easily in the future….(More)

ONS’s revised policies on the use, management and security of data can befound here.

Inside the world’s ‘what works’ teams


Jen Gold at What Works Blog: “There’s a small but growing band of government teams around the world dedicated to making experiments happen. The Cabinet Office’s What Works Team, set up in 2013, was the first of its kind. But you’ll now find them in Canada, the US, Finland, Australia, Colombia, and the UAE.

All of these teams work across government to champion the testing and evaluation of new approaches to public service delivery. This blog takes a look at the many ways in which we’re striving to make experimentation the norm in our governments.

Unsurprisingly we’re all operating in very different contexts. Some teams were set up in response to central requirements for greater experimentation. Take Canada, for instance. In 2016 the Treasury Board directed departments and agencies to devote a fixed proportion of programme funds to “experimenting with new approaches” (building on Prime Minister Trudeau’s earlier instruction to Ministers). An Innovation and Experimentation Team was then set up in the Treasury Board to provide some central support.

Finland’s Experimentation Office, based in the Prime Minister’s Office, is in a similar position. The team supports the delivery of Prime Minister Juha Sipilä’s 2016 national action plan that calls for “a culture of experimentation” in public services and a series of flagship policy experiments.

Others, like the US Office of Evaluation Sciences (OES) and the Behavioural Economics Team of the Australian Government (BETA), grew out of political interest in using behavioural science experiments in public policy. But these teams now run experiments in a much broader set of areas.

What unites us is a focus on helping public servants generate and use new evidence in policy decisions and service delivery….(More)”.

Participation 2.0? Crowdsourcing Participatory Development @ DFID


Paper by Anke Schwittay, Paul Braund: “Through an empirical analysis of Amplify, a crowdsourcing platform funded by the UK’s Department for International Development (DFID), we examine the potential of ICTs to afford more participatory development. Especially interactive Web2.0 technologies are often assumed to enable the participation of marginalized groups in their development, through allowing them to modify content and generate their own communication. 

We use the concepts of platform politics and voice to show that while Amplify managers and designers invested time and resources to include the voices of Amplify beneficiaries on the platform and elicit their feedback on projects supported via the platform, no meaningful participation took place. Our analysis of the gaps between participatory rhetoric, policy and practice concludes with suggestions for how ICTs could be harnessed to contribute to meaningful participatory development that matters materially and politically.,,,(More)”

All of Us Research Program Expands Data Collection Efforts with Fitbit


NIH Press Release: “The All of Us Research Program has launched the Fitbit Bring-Your-Own-Device (BYOD) project. Now, in addition to providing health information through surveys, electronic health records, and biosamples, participants can choose to share data from their Fitbit accounts to help researchers make discoveries. The project is a key step for the program in integrating digital health technologies for data collection.

Digital health technologies, like mobile apps and wearable devices, can gather data outside of a hospital or clinic. This data includes information about physical activity, sleep, weight, heart rate, nutrition, and water intake, which can give researchers a more complete picture of participants’ health. The All of Us Research Program is now gathering this data in addition to surveys, electronic health record information, physical measurements, and blood and urine samples, working to make the All of Us resource one of the largest and most diverse data sets of its kind for health research.

“Collecting real-world, real-time data through digital technologies will become a fundamental part of the program,” said Eric Dishman, director of the All of Us Research Program. “This information, in combination with many other data types, will give us an unprecedented ability to better understand the impact of lifestyle and environment on health outcomes and, ultimately, develop better strategies for keeping people healthy in a very precise, individualized way.”…

All of Us is developing additional plans to incorporate digital health technologies. A second project with Fitbit is expected to launch later in the year. It will include providing devices to a limited number of All of Us participants who will be randomly invited to take part, to enable them to share wearable data with the program. And All of Us will add connections to other devices and apps in the future to further expand data collection efforts and engage participants in new ways….(More)”.