Science to the people!

Curated on Posted on by Stefaan Verhulst

John Magan, at Digital Agenda for Europe:” …I attended the 2nd Barcelona Citizen Science Day organised as part of the city’s Science Festival. The programme was full and varied and in itself a great example of the wonderful world of do-it-yourself, hands-on, accessible, practical science. A huge variety of projects (see below) was delivered with enthusiasm, passion, and energy!

The day was rounded off with a presentation by Public Lab who showed how a bit of technical ingenuity like cheap cameras on kites and balloons can be used to keep governments and large businesses more honest and accountable – for example, data they collected is being used in court cases against BP for the Deepwater Horizon oil spill in the Gulf of Mexico.

But what was most striking is the empowerment that these Citizen Science projects give individuals to do things for themselves – to take measures to monitor, protect or improve their urban or rural environment; to indulge their curiosity or passions; to improve their finances; to work with others; to do good while having serious fun….If you want to have a deeper look, here are some of the many projects presented on a great variety of themes:

Water

Wildlife

Climate

Arts

Public health

Human

A nice booklet capturing them is available and there’s aslo a summary in Catalan only.

Read more about citizen science in the European Commission….(More)”

Open Innovation, Open Science, Open to the World

Curated on Posted on by Stefaan Verhulst

Speech by Carlos Moedas, EU Commissioner for Research, Science and Innovation: “On 25 April this year, an earthquake of magnitude 7.3 hit Nepal. To get real-time geographical information, the response teams used an online mapping tool called Open Street Map. Open Street Map has created an entire online map of the world using local knowledge, GPS tracks and donated sources, all provided on a voluntary basis. It is open license for any use.

Open Street Map was created by a 24 year-old computer science student at University College London in 2004, has today 2 million users and has been used for many digital humanitarian and commercial purposes: From the earthquakes in Haiti and Nepal to the Ebola outbreak in West Africa.

This story is one of many that demonstrate that we are moving into a world of open innovation and user innovation. A world where the digital and physical are coming together. A world where new knowledge is created through global collaborations involving thousands of people from across the world and from all walks of life.

Ladies and gentlemen, over the next two days I would like us to chart a new path for European research and innovation policy. A new strategy that is fit for purpose for a world that is open, digital and global. And I would like to set out at the start of this important conference my own ambitions for the coming years….

Open innovation is about involving far more actors in the innovation process, from researchers, to entrepreneurs, to users, to governments and civil society. We need open innovation to capitalise on the results of European research and innovation. This means creating the right ecosystems, increasing investment, and bringing more companies and regions into the knowledge economy. I would like to go further and faster towards open innovation….

I am convinced that excellent science is the foundation of future prosperity, and that openness is the key to excellence. We are often told that it takes many decades for scientific breakthroughs to find commercial application.

Let me tell you a story which shows the opposite. Graphene was first isolated in the laboratory by Profs. Geim and Novoselov at the University of Manchester in 2003 (Nobel Prizes 2010). The development of graphene has since benefitted from major EU support, including ERC grants for Profs. Geim and Novoselov. So I am proud to show you one of the new graphene products that will soon be available on the market.

This light bulb uses the unique thermal dissipation properties of graphene to achieve greater energy efficiencies and a longer lifetime that LED bulbs. It was developed by a spin out company from the University of Manchester, called Graphene Lighting, as is expected to go on sale by the end of the year.

But we must not be complacent. If we look at indicators of the most excellent science, we find that Europe is not top of the rankings in certain areas. Our ultimate goal should always be to promote excellence not only through ERC and Marie Skłodowska-Curie but throughout the entire H2020.

For such an objective we have to move forward on two fronts:

First, we are preparing a call for European Science Cloud Project in order to identify the possibility of creating a cloud for our scientists. We need more open access to research results and the underlying data. Open access publication is already a requirement under Horizon 2020, but we now need to look seriously at open data…

When innovators like LEGO start fusing real bricks with digital magic, when citizens conduct their own R&D through online community projects, when doctors start printing live tissues for patients … Policymakers must follow suit…(More)”

Rethinking Smart Cities From The Ground Up

Curated on Posted on by Stefaan Verhulst

New report byTom Saunders and Peter Baeck (NESTA): “This report tells the stories of cities around the world – from Beijing to Amsterdam, and from London to Jakarta – that are addressing urban challenges by using digital technologies to engage and enable citizens.

Key findings

  • Many ‘top down’ smart city ideas have failed to deliver on their promise, combining high costs and low returns.
  • ‘Collaborative technologies’ offer cities another way to make smarter use of resources, smarter ways of collecting data and smarter ways to make decisions.
  • Collaborative technologies can also help citizens themselves shape the future of their cities.
  • We have created five recommendations for city government who want to make their cities smarter.

As cities bring people together to live, work and play, they amplify their ability to create wealth and ideas. But scale and density also bring acute challenges: how to move around people and things; how to provide energy; how to keep people safe.

‘Smart cities’ offer sensors, ‘big data’ and advanced computing as answers to these challenges, but they have often faced criticism for being too concerned with hardware rather than with people.

In this report we argue that successful smart cities of the future will combine the best aspects of technology infrastructure while making the most of the growing potential of ‘collaborative technologies’, technologies that enable greater collaboration between urban communities and between citizens and city governments.

How will this work in practice? Drawing on examples from all around the world we investigate four emerging methods which are helping city governments engage and enable citizens: the collaborative economy, crowdsourcing data, collective intelligence and crowdfunding.

Policy recommendations

  1. Set up a civic innovation lab to drive innovation in collaborative technologies.
  2. Use open data and open platforms to mobilise collective knowledge.
  3. Take human behaviour as seriously as technology.
  4. Invest in smart people, not just smart technology.
  5. Spread the potential of collaborative technologies to all parts of society….(More)”

Forging Trust Communities: How Technology Changes Politics

Curated on Posted on by Stefaan Verhulst

Book by Irene S. Wu: “Bloggers in India used social media and wikis to broadcast news and bring humanitarian aid to tsunami victims in South Asia. Terrorist groups like ISIS pour out messages and recruit new members on websites. The Internet is the new public square, bringing to politics a platform on which to create community at both the grassroots and bureaucratic level. Drawing on historical and contemporary case studies from more than ten countries, Irene S. Wu’s Forging Trust Communities argues that the Internet, and the technologies that predate it, catalyze political change by creating new opportunities for cooperation. The Internet does not simply enable faster and easier communication, but makes it possible for people around the world to interact closely, reciprocate favors, and build trust. The information and ideas exchanged by members of these cooperative communities become key sources of political power akin to military might and economic strength.

Wu illustrates the rich world history of citizens and leaders exercising political power through communications technology. People in nineteenth-century China, for example, used the telegraph and newspapers to mobilize against the emperor. In 1970, Taiwanese cable television gave voice to a political opposition demanding democracy. Both Qatar (in the 1990s) and Great Britain (in the 1930s) relied on public broadcasters to enhance their influence abroad. Additional case studies from Brazil, Egypt, the United States, Russia, India, the Philippines, and Tunisia reveal how various technologies function to create new political energy, enabling activists to challenge institutions while allowing governments to increase their power at home and abroad.

Forging Trust Communities demonstrates that the way people receive and share information through network communities reveals as much about their political identity as their socioeconomic class, ethnicity, or religion. Scholars and students in political science, public administration, international studies, sociology, and the history of science and technology will find this to be an insightful and indispensable work…(More)”

Want to fix the world? Start by making clean energy a default setting

Curated on Posted on by Stefaan Verhulst

Chris Mooney in the Washington Post: “In recent years, psychologists and behavioral scientists have begun to decipher why we make the choices that we do when it comes to using energy. And the bottom line is that it’s hard to characterize those choices as fully “rational.”

Rather than acting like perfect homo economicuses, they’ve found, we’rehighly swayed by the energy use of our neighbors and friends — peer pressure, basically. At the same time, we’re also heavily biased by the status quo — we delay in switching to new energy choices, even when they make a great deal of economic sense.

 All of which has led to the popular idea of “nudging,” or the idea that you can subtly sway people to change their behavior by changing, say, the environment in which they make choices, or the kinds of information they receive. Not in a coercive way, but rather, through gentle tweaks and prompts. And now, a major study in Nature Climate Change demonstrates that one very popular form of energy-use nudging that might be called “default switching,” or the “default effect,” does indeed work — and indeed, could possibly work at a very large scale.

“This is the first demonstration of a large-scale nudging effect using defaults in the domain of energy choices,” says Sebastian Lotz of Stanford University and the University of Lausanne in Switzerland, who conducted the research with Felix Ebeling of the University of Cologne in Germany….(More)”

Exploring Open Energy Data in Urban Areas

Curated on Posted on by Stefaan Verhulst

The Worldbank: “…Energy efficiency – using less energy input to deliver the same level of service – has been described by many as the ‘first fuel’ of our societies. However, lack of adequate data to accurately predict and measure energy efficiency savings, particularly at the city level, has limited the realization of its promise over the past two decades.
Why Open Energy Data?
Open Data can be a powerful tool to reduce information asymmetry in markets, increase transparency and help achieve local economic development goals. Several sectors like transport, public sector management and agriculture have started to benefit from Open Data practices. Energy markets are often characterized by less-than-optimal conditions with high system inefficiencies, misaligned incentives and low levels of transparency. As such, the sector has a lot to potentially gain from embracing Open Data principles.
The United States is a leader in this field with its ‘Energy Data’ initiative. This initiative makes data easy to find, understand and apply, helping to fuel a clean energy economy. For example, the Energy Information Administration’s (EIA) open application programming interface (API) has more than 1.2 million time series of data and is frequently visited by users from the private sector, civil society and media. In addition, the Green Button  initiative is empowering American citizens to have access to their own energy usage data, and OpenEI.org is an Open Energy Information platform to help people find energy information, share their knowledge and connect to other energy stakeholders.
Introducing the Open Energy Data Assessment
To address this data gap in emerging and developing countries, the World Bank is conducting a series of Open Energy Data Assessments in urban areas. The objective is to identify important energy-related data, raise awareness of the benefits of Open Data principles and improve the flow of data between traditional energy stakeholders and others interested in the sector.
The first cities we assessed were Accra, Ghana and Nairobi, Kenya. Both are among the fastest-growing cities in the world, with dynamic entrepreneurial and technology sectors, and both are capitals of countries with an ongoing National Open Data Initiative., The two cities have also been selected to be part of the Negawatt Challenge, a World Bank international competition supporting technology innovation to solve local energy challenges.
The ecosystem approach
The starting point for the exercise was to consider the urban energy sector as an ecosystem, comprised of data suppliers, data users, key datasets, a legal framework, funding mechanisms, and ICT infrastructure. The methodology that we used adapted the established World Bank Open Data Readiness Assessment (ODRA), which highlights valuable connections between data suppliers and data demand.  The assessment showcases how to match pressing urban challenges with the opportunity to release and use data to address them, creating a longer-term commitment to the process. Mobilizing key stakeholders to provide quick, tangible results is also key to this approach….(More) …See also World Bank Open Government Data Toolkit.”

The death of data science – and rise of the citizen scientist

Curated on Posted on by Stefaan Verhulst

Ben Rossi at Information Age: “The notion of data science was born from the recent idea that if you have enough data, you don’t need much (if any) science to divine the truth and foretell the future – as opposed to the long-established rigours of statistical or actuarial science, which most times require painstaking efforts and substantial time to produce their version of ‘the truth’. …. Rather than embracing this untested and, perhaps, doomed form of science, and aimlessly searching for unicorns (also known as data scientists) to pay vast sums to, many organisations are now embracing the idea of making everyone data and analytics literate.

This leads me to what my column is really meant to focus on: the rise of the citizen scientist. 

The citizen scientist is not a new idea, having seen action in the space and earth sciences world for decades now, and has really come into its own as we enter the age of open data.

Cometh the hour

Given the exponential growth of open data initiatives across the world – the UK remains the leader, but has growing competition from all locations – the need for citizen scientists is now paramount. 

As governments open up vast repositories of new data of every type, the opportunity for these same governments (and commercial interests) to leverage the passion, skills and collective know-how of citizen scientists to help garner deeper insights into the scientific and civic challenges of the day is substantial. 

They can then take this knowledge and the collective energy of the citizen scientist community to develop common solution sets and applications to meet the needs of all their constituencies without expending much in terms of financial resources or suffering substantial development time lags. 

This can be a windfall of benefits for every level or type of government found around the world. The use of citizen scientists to tackle so-called ‘grand challenge’ problems has been a driving force behind many governments’ commitment to and investment in open data to date. 

There are so many challenges in governing today that it would be foolish not to employ these very capable resources to help tackle them. 

The benefits manifested from this approach are substantial and well proven. Many are well articulated in the open data success stories to date. 

Additionally, you only need to attend a local ‘hack fest’ to see how engaged citizen scientists can be of any age, gender and race, and feel the sense of community that these events foster as everyone focuses on the challenges at hand and works diligently to surmount them using very creative approaches. 

As open data becomes pervasive in use and matures in respect to the breadth and richness of the data sets being curated, the benefits returned to both government and its constituents will be manifold. 

The catalyst to realising these benefits and achieving return on investment will be the role of citizen scientists, which are not going to be statisticians, actuaries or so-called data gurus, but ordinary people with a passion for science and learning and a desire to contribute to solving the many grand challenges facing society at large….(More)

Field experimenting in economics: Lessons learned for public policy

Curated on Posted on by Stefaan Verhulst

Robert Metcalfe at OUP Blog: “Do neighbourhoods matter to outcomes? Which classroom interventions improve educational attainment? How should we raise money to provide important and valued public goods? Do energy prices affect energy demand? How can we motivate people to become healthier, greener, and more cooperative? These are some of the most challenging questions policy-makers face. Academics have been trying to understand and uncover these important relationships for decades.

Many of the empirical tools available to economists to answer these questions do not allow causal relationships to be detected. Field experiments represent a relatively new methodological approach capable of measuring the causal links between variables. By overlaying carefully designed experimental treatments on real people performing tasks common to their daily lives, economists are able to answer interesting and policy-relevant questions that were previously intractable. Manipulation of market environments allows these economists to uncover the hidden motivations behind economic behaviour more generally. A central tenet of field experiments in the policy world is that governments should understand the actual behavioural responses of their citizens to changes in policies or interventions.

Field experiments represent a departure from laboratory experiments. Traditionally, laboratory experiments create experimental settings with tight control over the decision environment of undergraduate students. While these studies also allow researchers to make causal statements, policy-makers are often concerned subjects in these experiments may behave differently in settings where they know they are being observed or when they are permitted to sort out of the market.

For example, you might expect a college student to contribute more to charity when she is scrutinized in a professor’s lab than when she can avoid the ask altogether. Field experiments allow researchers to make these causal statements in a setting that is more generalizable to the behaviour policy-makers are directly interested in.

To date, policy-makers traditionally gather relevant information and data by using focus groups, qualitative evidence, or observational data without a way to identify causal mechanisms. It is quite easy to elicit people’s intentions about how they behave with respect to a new policy or intervention, but there is increasing evidence that people’s intentions are a poor guide to predicting their behaviour.

However, we are starting to see a small change in how governments seek to answer pertinent questions. For instance, the UK tax office (Her Majesty’s Revenue and Customs) now uses field experiments across some of its services to improve the efficacy of scarce taxpayers money. In the US, there are movements toward gathering more evidence from field experiments.

In the corporate world, experimenting is not new. Many of the current large online companies—such as Amazon, Facebook, Google, and Microsoft—are constantly using field experiments matched with big data to improve their products and deliver better services to their customers. More and more companies will use field experiments over time to help them better set prices, tailor advertising, provide a better customer journey to increase welfare, and employ more productive workers…(More).

See also Field Experiments in the Developed World: An Introduction (Oxford Review of Economic Policy)

New ODI research shows open data reaching every sector of UK industry

Curated on Posted on by Stefaan Verhulst

ODI: “New research has been published today (1 June) by the Open Data Institute showing that open data is reaching every sector of UK industry.

In various forms, open data is being adopted by a wide variety of businesses – small and large, new and old, from right across the country. The findings from Open data means business: UK innovation across sectors and regions draw on 270 companies with a combined turnover of £92bn and over 500k employees, identified by the ODI as using, producing or investing in open data as part of their business. The project included desk research, surveys and interviews on the companies’ experiences.

Key findings from the research include:

  • Companies using open data come from many sectors; over 46% from outside the information and communication sector. These include finance & insurance, science & technology, business administration & support, arts & entertainment, health, retail, transportation, education and energy.
  • The most popular datasets for companies aregeospatial/mapping data (57%), transport data (43%) and environment data (42%).
  • 39% of companies innovating with open data are over 10 years old, with some more than 25 years old, proving open data isn’t just for new digital startups.
  • ‘Micro-enterprises’ (businesses with fewer than 10 employees) represented 70% of survey respondents, demonstrating athriving open data startup scene. These businesses are using it to create services, products and platforms. 8% of respondents were drawn from large companies of 251 or more employees….
  • The companies surveyed listed 25 different government sources for the data they use. Notably, Ordnance Survey data was cited most frequently, by 14% of the companies. The non-government source most commonly used was OpenStreetMap, an openly licenced map of the world created by volunteers….(More)

How to use mobile phone data for good without invading anyone’s privacy

Curated on Posted on by Stefaan Verhulst

Leo Mirani in Quartz: “In 2014, when the West African Ebola outbreak was at its peak, some academics argued that the epidemic could have been slowed by using mobile phone data.

Their premise was simple: call-data records show the true nature of social networks and human movement. Understanding social networks and how people really move—as seen from phone movements and calls—could give health officials the ability to predict how a disease will move and where a disease will strike next, and prepare accordingly.

The problem is that call-data records are very hard to get a hold of. The files themselves are huge, there are enormous privacy risks, and the process of making the records safe for distribution is long.
First, the technical basics

Every time you make a phone call from your mobile phone to another mobile phone, the network records the following information (note: this is not a complete list):

  • The number from which the call originated
  • The number at which the call terminated
  • Start time of the call
  • Duration of the call
  • The ID number of the phone making the call
  • The ID number of the SIM card used to make the call
  • The code for the antenna used to make the call

On their own, these records are not creepy. Indeed, without them, networks would be unable to connect calls or bill customers. But it is easy to see why operators aren’t rushing to share this information. Even though the data includes none of the actual content of a phone call in the data, simply knowing which number is calling which, and from where and when, is usually more than enough to identify people.
So how can network operators use this valuable data for good while also protecting their own interests and those of their customers? A good example can be found in Africa, where Orange, a French mobile phone network with interests across several African countries, has for the second year run its “Data for Development” (D4D) program, which offers researchers a chance to mine call data for clues on development problems.

Steps to safe sharing

After a successful first year in Ivory Coast, Orange this year ran the D4D program in Senegal. The aim of the program is to give researchers and scientists at universities and other research labs access to data in order to find novel ways to aid development in health, agriculture, transport or urban planning, energy, and national statistics….(More)”