Blockchains, personal data and the challenge of governance


Theo Bass at NESTA: “…There are a number of dominant internet platforms (Google, Facebook, Amazon, etc.) that hoard, analyse and sell information about their users in the name of a more personalised and efficient service. This has become a problem.

People feel they are losing control over how their data is used and reused on the web. 500 million adblocker downloads is a symptom of a market which isn’t working well for people. As Irene Ng mentions in a recent guest blog on the Nesta website, the secondary data market is thriving (online advertising is a major player), as companies benefit from the opacity and lack of transparency about where profit is made from personal data.

It’s said that blockchain’s key characteristics could provide a foundational protocol for a fairer digital identity system on the web. Beyond its application as digital currency, blockchain could provide a new set of technical standards for transparency, openness, and user consent, on top of which a whole new generation of services might be built.

While the aim is ambitious, a handful of projects are rising to the challenge.

Blockstack is creating a global system of digital IDs, which are written into the bitcoin blockchain. Nobody can touch them other than the owner of that ID. Blockstack are building a new generation of applications on top of this infrastructure which promises to provide “a new decentralized internet where users own their data and apps run locally”.

Sovrin attempts to provide users with “self-sovereign identity”. The argument is that “centralized” systems for storing personal data make it a “treasure chest for attackers”. Sovrin argues that users should more easily be able to have “ownership” over their data, and the exchange of data should be made possible through a decentralised, tamper-proof ledger of transactions between users.

Our own DECODE project is piloting a set of collaboratively owned, local sharing economy platforms in Barcelona and Amsterdam. The blockchain aims to provide a public record of entitlements over where people’s data is stored, who can access it and for what purpose (with some additional help from new techniques in zero-knowledge cryptography to preserve people’s privacy).

There’s no doubt this is an exciting field of innovation. But the debate is characterised by a lot of hype. The following sections therefore discuss some of the challenges thrown up when we start thinking about implementations beyond bitcoin.

Blockchains and the challenge of governance

As mentioned above, bitcoin is a “bearer asset”. This is a necessary feature of decentralisation — all users maintain sole ownership over the digital money they hold on the network. If users get hacked (digital wallets sometimes do), or if a password gets lost, the money is irretrievable.

While the example of losing a password might seem trivial, it highlights some difficult questions for proponents of blockchain’s wider uses. What happens if there’s a dispute over an online transaction, but no intermediary to settle it? What happens if a someone’s digital assets or their digital identity is breached and sensitive data falls into the wrong hands? It might be necessary to assign responsibility to a governing actor to help resolve the issue, but of course this would require the introduction of a trusted middleman.

Bitcoin doesn’t try to answer these questions; its anonymous creators deliberately tried to avoid implementing a clear model of governance over the network, probably because they knew that bitcoin would be used by people as a method for subverting the law. Bitcoin still sees a lot of use in gray economies, including for the sale of drugs and gambling.

But if blockchains are set to enter the mainstream, providing for businesses, governments and nonprofits, then they won’t be able to function irrespective of the law. They will need to find use-cases that can operate alongside legal frameworks and jurisdictional boundaries. They will need to demonstrate regulatory compliance, create systems of rules and provide accountability when things go awry. This cannot just be solved through increasingly sophisticated coding.

All of this raises a potential paradox recently elaborated in a post by Vili Lehdonvirta of the Oxford Internet Institute: is it possible to successfully govern blockchains without undermining their entire purpose?….

If blockchain advocates only work towards purely technical solutions and ignore real-world challenges of trying to implement decentralisation, then we’ll only ever see flawed implementations of the technology. This is already happening in the form of centrally administered, proprietary or ‘half-baked’ blockchains, which don’t offer much more value than traditional databases….(More)”.

Computational Propaganda Worldwide


Executive Summary: “The Computational Propaganda Research Project at the Oxford Internet Institute, University of Oxford, has researched the use of social media for public opinion manipulation. The team involved 12 researchers across nine countries who, altogether, interviewed 65 experts, analyzed tens of millions posts on seven different social media platforms during scores of elections, political crises, and national security incidents. Each case study analyzes qualitative, quantitative, and computational evidence collected between 2015 and 2017 from Brazil, Canada, China, Germany, Poland, Taiwan, Russia, Ukraine, and the United States.

Computational propaganda is the use of algorithms, automation, and human curation to purposefully distribute misleading information over social media networks. We find several distinct global trends in computational propaganda. •

  • Social media are significant platforms for political engagement and crucial channels for disseminating news content. Social media platforms are the primary media over which young people develop their political identities.
    • In some countries this is because some companies, such as Facebook, are effectively monopoly platforms for public life. o In several democracies the majority of voters use social media to share political news and information, especially during elections.
    • In countries where only small proportions of the public have regular access to social media, such platforms are still fundamental infrastructure for political conversation among the journalists, civil society leaders, and political elites.
  • Social media are actively used as a tool for public opinion manipulation, though in diverse ways and on different topics. o In authoritarian countries, social media platforms are a primary means of social control. This is especially true during political and security crises. o In democracies, social media are actively used for computational propaganda either through broad efforts at opinion manipulation or targeted experiments on particular segments of the public.
  • In every country we found civil society groups trying, but struggling, to protect themselves and respond to active misinformation campaigns….(More)”.

Open Data’s Effect on Food Security


Jeremy de Beer, Jeremiah Baarbé, and Sarah Thuswaldner at Open AIR: “Agricultural data is a vital resource in the effort to address food insecurity. This data is used across the food-production chain. For example, farmers rely on agricultural data to decide when to plant crops, scientists use data to conduct research on pests and design disease resistant plants, and governments make policy based on land use data. As the value of agricultural data is understood, there is a growing call for governments and firms to open their agricultural data.

Open data is data that anyone can access, use, or share. Open agricultural data has the potential to address food insecurity by making it easier for farmers and other stakeholders to access and use the data they need. Open data also builds trust and fosters collaboration among stakeholders that can lead to new discoveries to address the problems of feeding a growing population.

 

A network of partnerships is growing around agricultural data research. The Open African Innovation Research (Open AIR) network is researching open agricultural data in partnership with the Plant Phenotyping and Imaging Research Centre (P2IRC) and the Global Institute for Food Security (GIFS). This research builds on a partnership with the Global Open Data for Agriculture and Nutrition (GODAN) and they are exploring partnerships with Open Data for Development (OD4D) and other open data organizations.

…published two works on open agricultural data. Published in partnership with GODAN, “Ownership of Open Data” describes how intellectual property law defines ownership rights in data. Firms that collect data own the rights to data, which is a major factor in the power dynamics of open data. In July, Jeremiah Baarbé and Jeremy de Beer will be presenting “A Data Commons for Food Security” …The paper proposes a licensing model that allows farmers to benefit from the datasets to which they contribute. The license supports SME data collectors, who need sophisticated legal tools; contributors, who need engagement, privacy, control, and benefit sharing; and consumers who need open access….(More)“.

Why blockchain could be your next form of ID as a world citizen


 at TechRepublic: “Blockchain is moving from banking to the refugee crisis, as Microsoft and Accenture on Monday announced a partnership to use the technology to provide a legal form of identification for 1.1 billion people worldwide as part of the global public-private partnership ID2020.

The two tech giants developed a prototype that taps Accenture’s blockchain capabilities and runs on Microsoft Azure. The tech tool uses a person’s biometric data, such as a fingerprint or iris scan, to unlock the record-keeping blockchain technology and create a legal ID. This will allow refugees to have a personal identity record they can access from an app on a smartphone to receive assistance at border crossings, or to access basic services such as healthcare, according to a press release.

The prototype is designed so that personally identifiable information (PII) always exists “off chain,” and is not stored in a centralized system. Citizens use their biometric data to access their information, and chose when to share it—preventing the system from being accessed by tyrannical governments that refugees are fleeing from, as ZDNet noted.

Accenture’s platform is currently used in the Biometric Identity Management System operated by the United Nations High Commissioner for Refugees, which has enrolled more than 1.3 million refugees in 29 nations across Asia, Africa, and the Caribbean. The system is predicted to support more than 7 million refugees from 75 countries by 2020, the press release noted.

“People without a documented identity suffer by being excluded from modern society,” said David Treat, a managing director in Accenture’s global blockchain business, in the press release. “Our prototype is personal, private and portable, empowering individuals to access and share appropriate information when convenient and without the worry of using or losing paper documentation.”

ID is key for accessing education, healthcare, voting, banking, housing, and other family benefits, the press release noted. ID2020’s goal is to create a secure, established digital ID system for all citizens worldwide….

Blockchain will likely play an increasing role in both identification and security moving forward, especially as it relates to the Internet of Things (IoT). For example, Telstra, an Australian telecommunications company, is currently experimenting with a combination of blockchain and biometric security for its smart home products, ZDNet reported….(More)”.

The final Global Open Data Index is now live


Open Knowledge International: “The updated Global Open Data Index has been published today, along with our report on the state of Open Data this year. The report includes a broad overview of the problems we found around data publication and how we can improve government open data. You can download the full report here.

Also, after the Public Dialogue phase, we have updated the Index. You can see the updated edition here

We will also keep our forum open for discussions about open data quality and publication. You can see the conversation here.”

Social Network for Doctors to Transform Medical Crowdsourcing


Press Release: “SERMO, a global social network for physicians has expanded its footprint globally to revolutionize medical crowdsourcing. SERMO is now open to physicians on all seven continents, delivering on its promise from day one to unite physicians from every corner of the globe, ensuring the free flow of expert information amongst physicians.

Now available in more than 150 countries, physicians from both rural and urban areas, in developed and developing nations, can be exposed to the same expertise from their peers, providing an even higher level of care to their patients.

According to one orthopedic surgeon from Greece, SERMO offers “Exciting doctor interactions, is very helpful with difficult cases and always prompts us with very interesting social topics and discussions. It is a form of collective intelligence that allows individuals to achieve more than they could on their own.”

Combined with last month’s Drug Ratings launch, physicians will now be able to evaluate prescription drugs, in addition to communicating with peers and solving tough patient cases. These tools are revolutionizing the way physicians exchange and obtain information, as well as offer personalized care to their patients. With over 300,000 drug ratings gathered since the beta launch began last year, Ratings enables doctors globally to share prescription drug treatment experiences with their peers, transforming how physicians around the world make prescribing decisions in their daily practice.

SERMO’s membership has grown from 130,000 in 2012, when SERMO merged with WorldOne, to 650,000 total members prior to today’s expansion – now, the network includes close to 800,000 physicians….(More)”.

Big data allows India to map its fight against human trafficking


Nita Bhalla for Reuters: “An Indian charity is using big data to pinpoint human trafficking hot spots in a bid to prevent vulnerable women and girls vanishing from high-risk villages into the sex trade.

My Choices Foundation uses specially designed technology to identify those villages that are most at risk of modern slavery, then launches local campaigns to sound the alarm….

The analytics tool – developed by Australian firm Quantium – uses a range of factors to identify the most dangerous villages.It draws on India’s census, education and health data and factors such as drought risk, poverty levels, education and job opportunities to identify vulnerable areas….

There are an estimated 46 million people enslaved worldwide, with more than 18 million living in India, according to the 2016 Global Slavery Index. The Index was compiled by the Walk Free Foundation, a global organisation seeking to end modern slavery. Many are villagers lured by traffickers with the promise of a good job and an advance payment, only to find themselves or their children forced to work in fields or brick kilns, enslaved in brothels and sold into sexual slavery.

Almost 20,000 women and children were victims of human trafficking in India in 2016, a rise of nearly 25 percent from the previous year, according to government data.While India has strengthened its anti-trafficking policy in recent years, activists say a lack of public awareness remains one of the biggest impediments…(More)”.

Braindates


Greg Oates at Skift: “C2 has evolved into a global benchmark for event design since launching in 2012, but the innovation extends beyond the creative mojo and significant resources invested into the physical layout.

The show works with Montreal-based E-180 to provide a digital matchmaking platform called Braindate for attendees to find other people with like-minded interests. It’s always a challenge at conferences to meet someone who might be a potential business partner or learning source, or whatever, especially when you don’t know who those people are.

In recent years, dozens of emerging event technology companies have attempted to develop cloud-based personal connectivity platforms to help conference participants cull through their attendee lists. Few, however, have scaled to provide an effective solution for crowdsourced learning and networking at events.

Braindate is …designed to be integrated into an event app where attendees can post a one-sentence question or goal explaining their particular interest. Those posts can be tagged with any number of phrases, such as “event UX” or “smart city” or “experiential marketing” to help users streamline their search.

When someone sees a Braindate suggestion that looks appealing, he or she clicks on it to show a calendar with concurrent open slots in both people’s schedules. Then that person sends a request with a specific time to meet to discuss their shared interests. It’s also important to note that C2 registrants could schedule meetings pre-conference, although the bulk of activity kicked in on opening day.

Other conferences have incorporated the Braindate platform into their event design and programming, including TED Women, Airbnb Open, Salesforce’s Dreamforce, and re:publica.

New this year at C2 Montreal, E-180 launched a Group Braindate scenario where a participant could schedule and host a meeting focusing on a specific topic with four other people. Interested parties would reserve one of the four open spaces, and then everyone participating could chat online within the specific Braindate page to curate the conversation ahead of time….

This year, Montreal-based PixMob developed a Web-based event platform for C2 called “Klik” — with the Braindate platform embedded in the user interface — instead of the typical, downloadable iOS/Android event app traditionally used for large tech/media/marketing conferences.

The obvious benefit from a Web-based event platform is that people don’t have to download another dedicated app to their phone solely for the duration of the live experience. As such, however, there was a lag time whenever attendees tried to access Klik, and the site had to reload every time you moved from page to page. The portal also required users to keep logging in many times during the day.

That’s a big pain point when you’re running around an event floor trying to make quick decisions while paging through app sections on the fly, along with thousands of other people doing the same thing inside a highly congested space.

Attendees also couldn’t add personal meetings into the Klik event agenda, requiring them to shift constantly between the Klik schedule and their email schedule, and the content describing each session and activation was often minimal to the point of being useless….(More)”.

Our path to better science in less time using open data science tools


Julia S. Stewart Lowndes et al in Nature: “Reproducibility has long been a tenet of science but has been challenging to achieve—we learned this the hard way when our old approaches proved inadequate to efficiently reproduce our own work. Here we describe how several free software tools have fundamentally upgraded our approach to collaborative research, making our entire workflow more transparent and streamlined. By describing specific tools and how we incrementally began using them for the Ocean Health Index project, we hope to encourage others in the scientific community to do the same—so we can all produce better science in less time.

Figure 1: Better science in less time, illustrated by the Ocean Health Index project.
Figure 1

Every year since 2012 we have repeated Ocean Health Index (OHI) methods to track change in global ocean health36,37. Increased reproducibility and collaboration has reduced the amount of time required to repeat methods (size of bubbles) with updated data annually, allowing us to focus on improving methods each year (text labels show the biggest innovations). The original assessment in 2012 focused solely on scientific methods (for example, obtaining and analysing data, developing models, calculating, and presenting results; dark shading). In 2013, by necessity we gave more focus to data science (for example, data organization and wrangling, coding, versioning, and documentation; light shading), using open data science tools. We established R as the main language for all data preparation and modelling (using RStudio), which drastically decreased the time involved to complete the assessment. In 2014, we adopted Git and GitHub for version control, project management, and collaboration. This further decreased the time required to repeat the assessment. We also created the OHI Toolbox, which includes our R package ohicore for core analytical operations used in all OHI assessments. In subsequent years we have continued (and plan to continue) this trajectory towards better science in less time by improving code with principles of tidy data33; standardizing file and data structure; and focusing more on communication, in part by creating websites with the same open data science tools and workflow. See text and Table 1 for more details….(More)”

ControCurator: Understanding Controversy Using Collective Intelligence


Paper by Benjamin Timmermans et al: “There are many issues in the world that people do not agree on, such as Global Warming [Cook et al. 2013], Anti-Vaccination [Kata 2010] and Gun Control [Spitzer 2015]. Having opposing opinions on such topics can lead to heated discussions, making them appear controversial. Such opinions are often expressed through news articles and social media. There are increasing calls for methods to detect and monitor these online discussions on different topics. Existing methods focus on using sentiment analysis and Wikipedia for identifying controversy [Dori-Hacohen and Allan 2015]. The problem with this is that it relies on a well structured and existing debate, which may not always be the case. Take for instance news reporting during large disasters, in which case the structure of a discussion is not yet clear and may change rapidly. Adding to this is that there is currently no agreed upon definition as to what exactly defines controversy. It is only agreed that controversy arises when there is a large debate by people with opposing viewpoints, but we do not yet understand which are the characteristic aspects and how they can be measured. In this paper we use the collective intelligence of the crowd in order to gain a better understanding of controversy by evaluating the aspects that have impact on it….(More)”

See also http://crowdtruth.org/