For Whose Benefit? The Biological and Cultural Evolution of Human Cooperation


Book by Patrik Lindenfors: “… takes the reader on a journey, navigating the enigmatic aspects of cooperation; a journey that starts inside the body and continues via our thoughts to the human super-organism.

Cooperation is one of life’s fundamental principles. We are all made of parts – genes, cells, organs, neurons, but also of ideas, or ‘memes’. Our societies too are made of parts – us humans. Is all this cooperation fundamentally the same process?

From the smallest component parts of our bodies and minds to our complicated societies, everywhere cooperation is the organizing principle. Often this cooperation has emerged because the constituting parts have benefited from the interactions, but not seldom the cooperating units appear to lose on the interaction. How then to explain cooperation? How can we understand our intricate societies where we regularly provide small and large favors for people we are unrelated to, know, or even never expect to meet again? Where does the idea come from that it is right to risk one’s life for country, religion or freedom? The answers seem to reside in the two processes that have shaped humanity: biological and cultural evolution….(More)”

A Data-driven Approach to Assess the Potential of Smart Cities: The Case of Open Data for Brussels Capital Region


Paper by Miguel Angel Gomez Zotano and Hugues Bersini in Energy Procedia: “The success of smart city projects is intrinsically related to the existence of large volumes of data that could be processed to achieve their objectives. For this purpose, the plethora of data stored by public administrations becomes an incredibly rich source of insight and information due to its volume and diversity. However, it was only with the Open Government Movement when governments have been concerned with the need to open their data to citizens and businesses. Thus, with the emergence of open data portals, these myriad of data enables the development of new business models. The achievement of the benefits sought by making this data available triggers new challenges to cope with the diversity of sources involved. The business potential could be jeopardized by the scarcity of relevant data in the different blocks and domains that makes a city and by the lack of a common approach to data publication, in terms of format, content, etc.

This paper introduces a holistic approach that relies on the Smart City Ontology as the cornerstone to standardise and structure data. This approach, which is proposed to be an analytical tool to assess the potential of data in a given smart city, analyses three main aspects: availability of data, the criteria that data should fulfil to be considered eligible and the model used to structure and organise data. The approach has been applied to the case of Brussels Capital Region, which first results are presented and discussed in this paper. The main conclusion that has been obtained is that, besides its commitment with open data and smart cities, Brussels is not mature enough to fully exploit the real intelligence that smart cities could provide. This maturity would be achieved in the following years with the implementation of the new Brussels’ Smart City Strategy…(More)”.

The Governance Report 2017


Report by The Hertie School of Governance: “Looking at recent developments around the world, it seems that democratic values — from freedom of association and speech to fair and free elections and a system of checks and balances — have come under threat. Experts have, however, disproportionately focused on the problems of democracy in the West, and pointed to familiar sets of shortcomings and emerging deficiencies. By contrast, and with few exceptions, there is less attention to assessing the numerous efforts and innovative activities that are taking place at local, national and international levels. They seek to counteract backsliding and subversion by improving resilience and consolidation and by promoting the expansion of democracy, especially in an era of limited sovereignty and, frequently also, statehood.

The Governance Report 2017 focuses on those policies, programs, and initiatives meant to address the causes of the current democratic malaise, to foster democratic resilience, and to stimulate the (re-)consolidation and development of democratic regimes. The Report’s ambition, reflecting its evidence-based approach, is to shed light on how to manage and care for democracy itself. Specifically, against the backdrop of an assessment of the state of democracy and enriched by cross-national, comparative indicators and case studies, the Report emphasizes solutions geared toward enhancing citizen participation and improving institutions in various contexts, including the rise of neo-populism. Going beyond descriptions of best practices, the Report also examines their origins, identifies the actual and potential trade-offs these solutions entail, and makes concrete recommendations to policymakers….(More)”

Access to New Data Sources for Statistics: Business Models and Incentives for the Corporate Sector


Screen Shot 2017-03-28 at 11.45.07 AMReport by Thilo Klein and Stefaan Verhulst: “New data sources, commonly referred to as “Big Data”, have attracted growing interest from National Statistical Institutes. They have the potential to complement official and more conventional statistics used, for instance, to determine progress towards the Sustainable Development Goals (SDGs) and other targets. However, it is often assumed that this type of data is readily available, which is not necessarily the case. This paper examines legal requirements and business incentives to obtain agreement on private data access, and more generally ways to facilitate the use of Big Data for statistical purposes. Using practical cases, the paper analyses the suitability of five generic data access models for different data sources and data uses in an emerging new data ecosystem. Concrete recommendations for policy action are presented in the conclusions….(More)”.

Will Computer Science become a Social Science?


Paper by Ingo Scholtes, Markus Strohmaier and Frank Schweitzer: “When Tay – a Twitter chatbot developed by Microsoft – was activated this March, the company was taken by surprise by what Tay had become. Within less than 24 hours of conversation with Twitter users Tay had learned to make racist, anti-semitic and misogynistic statements that have raised eyebrows in the Twitter community and beyond. What had happened? While Microsoft certainly tested the chat bot before release, planning for the reactions and the social environment in which it was deployed proved tremendously difficult. Yet, the Tay Twitter chatbot incident is just one example for the many challenges which arise when embedding algorithms and computing systems into an ever increasing spectrum of social systems. In this viewpoint we argue that, due to the resulting feedback loops by which computing technologies impact social behavior and social behavior feeds back on (learning) computing systems, we face the risk of losing control over the systems that we engineer. The result are unintended consequences that affect both the technical and social dimension of computing systems, and which computer science is currently not well-prepared to address. Highlighting exemplary challenges in core areas like (1) algorithm design, (2) cyber-physical systems, and (3) software engineering, we argue that social aspects must be turned into first-class citizens of our system models. We further highlight that the social sciences, in particular the interdisciplinary field of Computational Social Science [1], provide us with means to quantitatively analyze, model and predict human behavior. As such, a closer integration between computer science and social sciences not only provides social scientists with new ways to understand social phenomena. It also helps us to regain control over the systems that we engineer….(More)”

Confused by data visualisation? Here’s how to cope in a world of many features


 in The Conversation: “The late data visionary Hans Rosling mesmerised the world with his work, contributing to a more informed society. Rosling used global health data to paint a stunning picture of how our world is a better place now than it was in the past, bringing hope through data.

Now more than ever, data are collected from every aspect of our lives. From social media and advertising to artificial intelligence and automated systems, understanding and parsing information have become highly valuable skills. But we often overlook the importance of knowing how to communicate data to peers and to the public in an effective, meaningful way.

The first tools that come to mind in considering how to best communicate data – especially statistics – are graphs and scatter plots. These simple visuals help us understand elementary causes and consequences, trends and so on. They are invaluable and have an important role in disseminating knowledge.

Data visualisation can take many other forms, just as data itself can be interpreted in many different ways. It can be used to highlight important achievements, as Bill and Melinda Gates have shown with their annual letters in which their main results and aspirations are creatively displayed.

Everyone has the potential to better explore data sets and provide more thorough, yet simple, representations of facts. But how can do we do this when faced with daunting levels of complex data?

A world of too many features

We can start by breaking the data down. Any data set consists of two main elements: samples and features. The former correspond to individual elements in a group; the latter are the characteristics they share….

Venturing into network analysis is easier than undertaking dimensionality reduction, since usually a high level of programming skills is not required. Widely available user-friendly software and tutorials allow people new to data visualisation to explore several aspects of network science.

The world of data visualisation is vast and it goes way beyond what has been introduced here, but those who actually reap its benefits, garnering new insights and becoming agents of positive and efficient change, are few. In an age of overwhelming information, knowing how to communicate data can make a difference – and it can help keep data’s relevance in check…(More)”

How Open Data Can Revolutionize a Society in Crisis


Beth Noveck at BrinkNews:”…These myriad open data success stories, however, depend on the political will to be transparent and collaborative. There is a looming risk that governments will only post what is expedient and noncontroversial while seeking recognition for their proactive disclosure—a practice increasingly referred to as “open-washing.” Governments of all political stripes refuse to disclose data when they should. The data to be found on government websites is not always the information most in demand by journalists, activists, and researchers.

Especially as political administrations turnover, there is a risk that change will result in a failure to collect and publish important data. These practices will be subject to the vagaries of politics.

The genie should not, however, be put back in the bottle.

Open data appeals to both right and left politically: the former sees open data as a pathway to smaller, more efficient government and the latter sees open data as a tool to pursue more effective social programs. The bipartisan interest in evidence-based approaches to governing should fuel greater demand for access to administrative information of all kinds—including the data that agencies collect about companies, workplaces, the environment, and the world beyond government.

Government data should be open in part because of the ill-effects of secrecy, but also because taxpayers have paid for the collection of this data by government in its role as regulator and researcher.

It is a pragmatic tool to make government and companies more accountable at solving social problems and to help communities make better informed buying decisions. It helps create jobs and generate entrepreneurship. Perhaps of paramount importance, open data can advance civil rights and help us to govern more legitimately and effectively….(More).

Open Data Maturity in Europe 2016


European Data Portal Report: “…the second in a series of annual studies and explores the level of Open Data Maturity in the EU28 and Norway, Switzerland and Liechtenstein – referred to as EU28+. The measurement is built on two key indicators Open Data Readiness and Portal Maturity, thereby covering the level of development of national activities promoting Open Data as well as the level of development of national portals. In 2016, with a 28.6% increase compared to 2015, the EU28+ countries completed over 55% of their Open Data journey showing that, by 2016, a majority of the EU28+ countries have successfully developed a basic approach to address Open Data. The Portal Maturity level increased by 22.6 percentage points from 41.7% to 64.3% thanks to the development of more advanced features on country data portals. The overall Open Data Maturity groups countries into different clusters: Beginners, Followers, Fast Trackers and Trend Setters. Barriers do remain to move Open Data forward. The report concludes on a series of recommendations, providing countries with guidance to further improve Open Data maturity. Countries need to raise more (political) awareness around Open Data, increase automated processes on their portals to increase usability and re-usability of data, and organise more events and trainings to support both local and national initiatives….(More)”.

Trust and Public Policy – How Better Governance Can Help Rebuild Public Trust


New Report by the OECD: “Trust plays a very tangible role in the effectiveness of government. Few perceptions are more palpable than that of trust or its absence. Governments ignore this at their peril. Yet, public trust has been eroding just when policy makers need it most, given persistent unemployment, rising inequality and a variety of global pressures. This report examines the influence of trust on policy making and explores some of the steps governments can take to strengthen public trust…(More)”

Technology and the Voluntary Sector: Don’t (always) Believe the Hype


Gareth Lloyd at the NCVO: “One of the most important questions for voluntary sector organisations of all sizes is how their work can be supported by technology. We have talked before about how the sector needs to identify technology that is replicable and has low barriers to uptake, but we have also recently carried out a research project with Tata Consultacy Services on this issue, which involved an evidence review, mapping exercise and workshop with voluntary sector experts.

Here’s a brief overview of what we learned, including the different challenges for large and small organisations; as well as those that apply to everyone.

Grand ambitions

First, our work looked at the attraction – and possible dangers of – investing in new and largely unproven technologies. We have seen the voluntary sector undergo fleeting love affairs with new and exciting types of technology, such as big data, crowdfunding and bitcoin; and we go through periods of hearing about technologies that have the potential to change the way that the sector works…..

Defining problems and choosing solutions

For all the challenges mentioned so far, the underlying issue is the same: a mismatch between the problem to be solved and the solution implemented. The answer is to focus on the problem that you’re trying to solve, whether approaching it as a technology issue or not, and then look at the ways that technology can help you. For example, Jointly – the app developed by Carers UK to enable conversation between groups of carers – stands out as a problem that could have been addressed without use of technology, but was eventually enhanced by it.

But organisations also have to ensure that the technology used to solve those problems is cost effective, time effective, and appropriate for them in terms of where they are starting from. If the solution you choose is tying you up in knots, maybe it isn’t a solution at all.

Our research came up with some high level principles that organisations can use to avoid these problems, and try to ensure that adopting technology transforms the day-to-day activities of organisations while minimising disruption…

Think iterations, rather than discrete projects

Participants at our workshop talked about how the discrete project model doesn’t quite work when trying to embed technology at an organisation. That is, rather than these projects having straightforward planning and implementation phases, they need to be introduced iteratively, as an ongoing process of deployment, evaluation and redesign. Introducing technology in this way minimises risk, helps to ensure that the solution fits the problem, and ensures that it is tailored to the needs of the people who will use it on a day to day basis.

If you are interested in this research you can read the executive summary here, the full slide deck here, or find details of the Spark Salon event where it was launched here….(More)”