Algorithmic Citizenship

Curated on Posted on by Stefaan Verhulst

Citizen-Ex: “Algorithmic Citizenship is a new form of citizenship, one where your citizenship, and therefore both your allegiances and your rights, are constantly being questioned, calculated, and rewritten.

Most people are assigned a citizenship at birth, in one of two ways. You may receive your citizenship from the place you’re born, which is called jus soli, or the right of soil. If you’re born in a place, that’s where you’re a citizen of. This is true in a lot of North and South America, for example – but not much of the rest of the world. You may get your citizenship based on where your parents are citizens of, which is called jus sanguinis, or the right of blood. Everybody is supposed to have a citizenship, although millions of stateless people do not, as a result of war, migration or the collapse of existing states. Many people also change citizenship over the course of their life, through various legal mechanisms. Some countries allow you to hold more than one citizenship at once, and some do not.

Having a citizenship means that you have a place in the world, an allegiance to a state. That state is supposed to guarantee you certain rights, like freedom from arrest, imprisonment, torture, or surveillance – depending on which state you belong to. Hannah Arendt famously said that “citizenship is the right to have rights”. To tamper with ones citizenship is to endanger ones most fundamental rights. Without citizenship, we have no rights at all.

Algorithmic Citizenship is a form of citizenship which is not assigned at birth, or through complex legal documents, but through data. Like other computerised processes, it can happen at the speed of light, and it can happen over and over again, constantly revising and recalculating. It can split a single citizenship into an infinite number of sub-citizenships, and count and weight them over time to produce combinations of affiliations to different states.

Citizen Ex calculates your Algorithmic Citizenship based on where you go online. Every site you visit is counted as evidence of your affiliation to a particular place, and added to your constantly revised Algorithmic Citizenship. Because the internet is everywhere, you can go anywhere – but because the internet is real, this also has consequences….(More)”

5 cool ways connected data is being used

Curated on Posted on by Stefaan Verhulst

 at Wareable: “The real news behind the rise of wearable tech isn’t so much the gadgetry as the gigantic amount of personal data that it harnesses.

Concerns have already been raised over what companies may choose to do with such valuable information, with one US life insurance company already using Fitbits to track customers’ exercise and offer them discounts when they hit their activity goals.

Despite a mildly worrying potential dystopia in which our own data could be used against us, there are plenty of positive ways in which companies are using vast amounts of connected data to make the world a better place…

Parkinson’s disease research

Apple Health ResearchKit was recently unveiled as a platform for collecting collaborative data for medical studies, but Apple isn’t the first company to rely on crowdsourced data for medical research.

The Michael J. Fox Foundation for Parkinson’s Research recently unveiled a partnership with Intel to improve research and treatment for the neurodegenerative brain disease. Wearables are being used to unobtrusively gather real-time data from sufferers, which is then analysed by medical experts….

Saving the rhino

Connected data and wearable tech isn’t just limited to humans. In South Africa, the Madikwe Conservation Project is using wearable-based data to protect endangered rhinos from callous poachers.

A combination of ultra-strong Kevlar ankle collars powered by an Intel Galileo chip, along with an RFID chip implanted in each rhino’s horn allows the animals to be monitored. Any break in proximity between the anklet and horn results in anti-poaching teams being deployed to catch the bad guys….

Making public transport smart

A company called Snips is collecting huge amounts of urban data in order to improve infrastructure. In partnership with French national rail operator SNCF, Snips produced an app called Tranquilien to utilise location data from commuters’ phones and smartwatches to track which parts of the rail network were busy at which times.

Combining big data with crowdsourcing, the information helps passengers to pick a train where they can find a seat during peak times, while the data can also be useful to local businesses when serving the needs of commuters who are passing through.

Improving the sports fan experience

We’ve already written about how wearable tech is changing the NFL, but the collection of personal data is also set to benefit the fans.

Levi’s Stadium – the new home of the San Francisco 49ers – opened in 2014 and is one of the most technically advanced sports venues in the world. As well as a strong Wi-Fi signal throughout the stadium, fans also benefit from a dedicated app. This not only offers instant replays and real-time game information, but it also helps them find a parking space, order food and drinks directly to their seat and even check the lines at the toilets. As fans use the app, all of the data is collated to enhance the fan experience in future….

Creating interactive art

Don’t be put off by the words ‘interactive installation’. On Broadway is a cool work of art that “represents life in the 21st Century city through a compilation of images and data collected along the 13 miles of Broadway that span Manhattan”….(More)”

WFP And OCHA Join Forces To Make Data More Accessible

Curated on Posted on by Stefaan Verhulst

World Food Programme Press Release: “The United Nations World Food Programme (WFP) and the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) have teamed up to provide access to global data on hunger and food insecurity. The data can be used to understand the type of food available in certain markets, how families cope in the face of food insecurity and how WFP provides food assistance in emergencies to those in need.

The data is being made available through OCHA’s Humanitarian Data Exchange (HDX), an open platform for sharing crisis data. The collaboration between WFP, the world’s largest humanitarian organization fighting hunger worldwide, and OCHA began at the height of the Ebola crisis when WFP shared its data on food market prices in affected countries in West Africa.

With funding from the UK’s Department for International Development (DFID) and the Bill & Melinda Gates Foundation, WFP has since been able to make large amounts of its data available dynamically, making it easier to integrate with other systems, including HDX.

From there, HDX built an interactive visualization for Food Prices data that allows a range of users, from the general public to a data scientist, to explore the data in insightful ways. The same visualization is also available on the WFP VAM Shop….(More)“

Legislation Lab

Curated on Posted on by Stefaan Verhulst

“Legislation Lab is a platform for encouraging public awareness and discussion of upcoming legislation. We offer citizens easy access to legislation and provide a participatory model to collect their feedback,

  • Citizen can read through the different sections of the legislation, compare it to related international experiences.
  • Participants voice their opinions through voting, commenting and proposing changes.
  • Real-time, automated data analysis provides visibility into the opinions and demographics of participants.
  • Legislation Lab works on a transparent participation model, proving authenticity through transparency. All contributions are clearly identified with their source and aggregate demographics are provided clearly and openly.

All law documents in Legislation Lab are under the stewardship of a law facilitator. Law facilitators come from a variety of backgrounds including government, organizations, or even the general public. GovRight works with law facilitators to help them import legislation and to promote a meaningful discussion with citizens….

Legislation Lab is the product of years of experience by GovRight in the implementation of meaningful public discourse and participation in government.

Case Study: Reforme.ma

In early 2011 citizens of Morocco took to the streets to denounce social injustice, unemployment, and corruption and to call for a genuine constitutional monarchy. In March, King Mohammed VI announced the launch of constitutional reforms, but for the average citizen of Morocco there was little opportunity to voice their opinion on the content or direction of these reforms.

To address this, Tarik Nesh-Nash (GovRight co-founder & CEO) launched with a partner Reforme.ma, a participatory platform to collect the opinions of average Moroccan citizens on changes to the constitution. Within two months Reforme.ma was visited by more than 200,000 visitors and received more than 10,000 comments and proposals. Contributors were a broad demographic of Moroccan citizens ranging from all regions of the country…(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)”

Enhancing Social Accountability Through ICT: Success Factors and Challenges

Curated on Posted on by Stefaan Verhulst

Wakabi, Wairagala and  Grönlund, Åke for the International Conference for E-Democracy and Open Government 2015: “This paper examines the state of citizen participation in public accountability processes via Information and Communication Technologies (ICT). It draws on three projects that use ICT to report public service delivery failures in Uganda, mainly in the education, public health and the roads sectors. While presenting common factors hampering meaningful use of ICT for citizens’ monitoring of public services and eParticipation in general, the paper studies the factors that enabled successful whistle blowing using toll free calling, blogging, radio talk shows, SMS texting, and e-mailing. The paper displays examples of the positive impacts of whistle-blowing mechanisms and draws up a list of success factors applicable to these projects. It also outlines common challenges and drawbacks to initiatives that use ICT to enable citizen participation in social accountability. The paper provides pathways that could give ICT-for-participation and for-accountability initiatives in countries with characteristics similar to Uganda a good chance of achieving success. While focusing on Uganda, the paper may be of practical value to policy makers, development practitioners and academics in countries with similar socio-economic standings….(More)”

A new approach to measuring the impact of open data

Curated on Posted on by Stefaan Verhulst

 at SunLight Foundation: “Strong evidence on the long-term impact of open data initiatives is incredibly scarce. The lack of compelling proof is partly due to the relative novelty of the open government field, but also to the inherent difficulties in measuring good governance and social change. We know that much of the impact of policy advocacy, for instance, occurs even before a new law or policy is introduced, and is thus incredibly difficult to evaluate. At the same time, it is also very hard to detect the causality between a direct change in the legal environment and the specific activities of a policy advocacy group. Attribution is equally challenging when it comes to assessing behavioral changes – who gets to take credit for increased political engagement and greater participation in democratic processes?

Open government projects tend to operate in an environment where the contribution of other stakeholders and initiatives is essential to achieving sustainable change, making it even more difficult to show the causality between a project’s activities and the impact it strives to achieve. Therefore, these initiatives cannot be described through simple “cause and effect” relationships, as they mostly achieve changes through their contribution to outcomes produced by a complex ecosystem of stakeholders — including journalists, think tanks, civil society organizations, public officials and many more — making it even more challenging to measure their direct impact.

We at the Sunlight Foundation wanted to tackle some of the methodological challenges of the field through building an evidence base that can empower further generalizations and advocacy efforts, as well as developing a methodological framework to unpack theories of change and to evaluate the impact of open data and digital transparency initiatives. A few weeks ago, we presented our research at the Cartagena Data Festival, and today we are happy to launch the first edition of our paper, which you can read below or on Scribd.

The outputs of this research include:

  • A searchable repository of more than 100 examples on the outputs, outcomes and impacts of open data and digital technology projects;
  • Three distinctive theories of change for open data and digital transparency initiatives from the Global South;
  • A methodological framework to help develop more robust indicators of social and political change for the ecosystem of open data initiatives, by applying and revising the Outcome Mapping approach of IDRC to the field…(You can read the study at :The Social Impact of Open Data by juliakeseru)

Five Headlines from a Big Month for the Data Revolution

Curated on Posted on by Stefaan Verhulst

Sarah T. Lucas at Post2015.org: “If the history of the data revolution were written today, it would include three major dates. May 2013, when theHigh Level Panel on the Post-2015 Development Agenda first coined the phrase “data revolution.” November 2014, when the UN Secretary-General’s Independent Expert Advisory Group (IEAG) set a vision for it. And April 2015, when five headliner stories pushed the data revolution from great idea to a concrete roadmap for action.

The April 2015 Data Revolution Headlines

1. The African Data Consensus puts Africa in the lead on bringing the data revolution to the regional level. TheAfrica Data Consensus (ADC) envisions “a profound shift in the way that data is harnessed to impact on development decision-making, with a particular emphasis on building a culture of usage.” The ADC finds consensus across 15 “data communities”—ranging from open data to official statistics to geospatial data, and is endorsed by Africa’s ministers of finance. The ADC gets top billing in my book, as the first contribution that truly reflects a large diversity of voices and creates a political hook for action. (Stay tuned for a blog from my colleague Rachel Quint on the ADC).

2. The Sustainable Development Solutions Network (SDSN) gets our minds (and wallets) around the data needed to measure the SDGs. The SDSN Needs Assessment for SDG Monitoring and Statistical Capacity Development maps the investments needed to improve official statistics. My favorite parts are the clear typology of data (see pg. 12), and that the authors are very open about the methods, assumptions, and leaps of faith they had to take in the costing exercise. They also start an important discussion about how advances in information and communications technology, satellite imagery, and other new technologies have the potential to expand coverage, increase analytic capacity, and reduce the cost of data systems.

3. The Overseas Development Institute (ODI) calls on us to find the “missing millions.” ODI’s The Data Revolution: Finding the Missing Millions presents the stark reality of data gaps and what they mean for understanding and addressing development challenges. The authors highlight that even that most fundamental of measures—of poverty levels—could be understated by as much as a quarter. And that’s just the beginning. The report also pushes us to think beyond the costs of data, and focus on how much good data can save. With examples of data lowering the cost of doing government business, the authors remind us to think about data as an investment with real economic and social returns.

4. Paris21 offers a roadmap for putting national statistic offices (NSOs) at the heart of the data revolution.Paris21’s Roadmap for a Country-Led Data Revolution does not mince words. It calls on the data revolution to “turn a vicious cycle of [NSO] underperformance and inadequate resources into a virtuous one where increased demand leads to improved performance and an increase in resources and capacity.” It makes the case for why NSOs are central and need more support, while also pushing them to modernize, innovate, and open up. The roadmap gets my vote for best design. This ain’t your grandfather’s statistics report!

5. The Cartagena Data Festival features real-live data heroes and fosters new partnerships. The Festival featured data innovators (such as terra-i using satellite data to track deforestation), NSOs on the leading edge of modernization and reform (such as Colombia and the Philippines), traditional actors using old data in new ways (such as the Inter-American Development Bank’s fantastic energy database), groups focused on citizen-generated data (such as The Data Shift and UN My World), private firms working with big data for social good (such asTelefónica), and many others—all reminding us that the data revolution is well underway and will not be stopped. Most importantly, it brought these actors together in one place. You could see the sparks flying as folks learned from each other and hatched plans together. The Festival gets my vote for best conference of a lifetime, with the perfect blend of substantive sessions, intense debate, learning, inspiration, new connections, and a lot of fun. (Stay tuned for a post from my colleague Kristen Stelljes and me for more on Cartagena).

This month full of headlines leaves no room for doubt—momentum is building fast on the data revolution. And just in time.

With the Financing for Development (FFD) conference in Addis Ababa in July, the agreement of Sustainable Development Goals in New York in September, and the Climate Summit in Paris in December, this is a big political year for global development. Data revolutionaries must seize this moment to push past vision, past roadmaps, to actual action and results…..(More)”

How Data Mining could have prevented Tunisia’s Terror attack in Bardo Museum

Curated on Posted on by Stefaan Verhulst

Wassim Zoghlami at Medium: “…Data mining is the process of posing queries and extracting useful patterns or trends often previously unknown from large amounts of data using various techniques such as those from pattern recognition and machine learning. Latelely there has been a big interest on leveraging the use of data mining for counter-terrorism applications

Using the data on more than 50.000+ ISIS connected twitter accounts , I was able to establish an understanding of some factors determined how often ISIS attacks occur , what different types of terror strikes are used in which geopolitical situations, and many other criteria through graphs about the frequency of hashtags usages and the frequency of a particular group of the words used in the tweets.

A simple data mining project of some of the repetitive hashtags and sequences of words used typically by ISIS militants in their tweets yielded surprising results. The results show a rise of some keywords on the tweets that started from Marsh 15, three days before Bardo museum attacks.

Some of the common frequent keywords and hashtags that had a unusual peak since marsh 15 , three days before the attack :

#طواغيت تونس : Tyrants of Tunisia = a reference to the military

بشرى تونس : Good news for Tunisia.

قريبا تونس : Soon in Tunisia.

#إفريقية_للإعلام : The head of social media of Afriqiyah

#غزوة_تونس : The foray of Tunis…

Big Data and Data Mining should be used for national security intelligence

The Tunisian national security has to leverage big data to predict such attacks and to achieve objectives as the volume of digital data. Some of the challenges facing the Data mining techniques are that to carry out effective data mining and extract useful information for counterterrorism and national security, we need to gather all kinds of information about individuals. However, this information could be a threat to the individuals’ privacy and civil liberties…(More)”

Wicked Opportunities

Curated on Posted on by Stefaan Verhulst

Essay by William D. Eggers & Anna Muoio: “Wicked problems”—ranging from malaria to dwindling water supplies—are being reframed as “wicked opportunities” and tackled by networks of nongovernmental organizations, social entrepreneurs, governments, and big businesses.

As a killer disease, malaria is the world’s third biggest, after only HIV/AIDS and tuberculosis. In 2013, an estimated 584,000 people died of it—90 percent of these deaths in Africa, mostly among children under five years of age.1 And because 3.2 billion people—almost half the world’s population—live in regions where malaria spreads easily, it is very hard to fight.2 Scores of organizations are embroiled in the complex search for solutions, sometimes pursuing conflicting priorities, always competing for scarce resources. Despite the daunting challenges, here’s how Bill Gates, who has already spent more than $2 billion of Gates Foundation money on the problem, characterizes the situation: “This is one of the greatest opportunities the global health world has ever had.”3

Opportunity? It’s a surprising word even for an optimistic mega-philanthropist to describe a scourge that people have been trying to eliminate, unsuccessfully, for hundreds of years. It’s also, however, a fair statement about what is possible in the 21st century. We’re seeing a trend by which many kinds of “wicked problems”—complex, dynamic, and seemingly intractable social challenges—are being reframed and attacked with renewed vigor through solution ecosystems. Unprecedented networks of non-governmental organizations (NGOs), social entrepreneurs, health professionals, governments, and international development institutions—and yes, businesses—are coalescing around them, and recasting them as wicked opportunities….(More)”