Tag Archives: big data

Who Controls Peoples’ Data?

The McKinsey Global Institute estimates that cross-border flows of goods, services and data added 10 per cent to global gross domestic product in the decade to 2015, with data providing a third of that increase. That share of the contribution seems likely to rise: conventional trade has slowed sharply, while digital flows have surged. Yet as the whole economy becomes more information-intensive — even heavy industries such as oil and gas are becoming data-driven — the cost of blocking those flows increases…

Yet that is precisely what is happening. Governments have sharply increased “data localisation” measures requiring information to be held in servers inside individual countries. The European Centre for International Political Economy, a think-tank, calculates that in the decade to 2016, the number of significant data localisation measures in the world’s large economies nearly tripled from 31 to 84.

Even in advanced economies, exporting data on individuals is heavily restricted because of privacy concerns, which have been highlighted by the Facebook/ Cambridge Analytica scandal. Many EU countries have curbs on moving personal data even to other member states. Studies for the Global Commission on Internet Governance, an independent research project, estimates that current constraints — such as restrictions on moving data on banking, gambling and tax records — reduces EU GDP by half a per cent.

In China, the champion data localiser, restrictions are even more severe. As well as long-established controls over technology transfer and state surveillance of the population, such measures form part of its interventionist “ Made in China 2025 ” industrial strategy, designed to make it a world leader in tech-heavy sectors such as artificial intelligence and robotics.

China’s Great Firewall has long blocked most foreign web applications, and a cyber security law passed in 2016 also imposed rules against exporting personal information, forcing companies including Apple and LinkedIn to hold information on Chinese users on local servers. Beijing has also given itself a variety of powers to block the export of “important data” on grounds of reducing vaguely defined economic, scientific or technological risks to national security or the public interest.   “The likelihood that any company operating in China will find itself in a legal blind spot where it can freely transfer commercial or business data outside the country is less than 1 per cent,” says ECIPE director Hosuk Lee-Makiyama….

Other emerging markets, such as Russia, India, Indonesia and Vietnam, are also leading data localisers. Russia has blocked LinkedIn from operating there after it refused to transfer data on Russian users to local servers.

Business organisations including the US Chamber of Commerce want rules to restrain what they call “digital protectionism”. But data trade experts point to a serious hole in global governance, with a coherent approach prevented by different philosophies between the big trading powers. Susan Aaronson, a trade academic at George Washington University in Washington, DC, says: “There are currently three powers — the EU, the US and China — in the process of creating separate data realms.”

The most obvious way to protect international flows of data is in trade deals — whether multilateral, regional or bilateral. Yet only the World Trade Organization laws governing data flows predate the internet and have not been thoroughly tested through litigation. It recently recruited Alibaba co-founder Jack Ma to front an ecommerce initiative, but officials involved admit it is unlikely to produce anything concrete for a long time. In any case, Prof Aaronson says: “While data has traditionally been addressed in trade deals as an ecommerce issue, it goes far wider than that.”

The internet has always been regarded by pioneers and campaigners as a decentralised, self-regulating community. Activists have tended to regard government intervention with suspicion, except for its role in protecting personal data, and many are wary of legislation to enable data flows.  “While we support the approach of preventing data localisation, we need to balance that against other rights such as data protection, cyber security and consumer rights,” says Jeremy Malcolm, senior global policy analyst at the Electronic Frontier Foundation, a campaign for internet freedom…

Europe has traditionally had a very different philosophy towards data and privacy than the US. In Germany, for instance, public opinion tends to support strict privacy laws — usually attributed to lingering memories of surveillance by the Stasi secret police in East Germany. The EU’s new General Data Protection Regulation (GDPR), which comes into force on May 25, 2018 imposes a long list of requirements on companies processing personal data on pain of fines that could total as much as 4 per cent of annual turnover….But trade experts warn that the GDPR is very cautiously written, with a blanket exemption for measures claiming to protect privacy. Mr Lee-Makiyama says: “The EU text will essentially provide no meaningful restriction on countries wanting to practice data localisation.”

Against this political backdrop, the prospects for broad and binding international rules on data flow are dim. …In the battle for dominance over setting rules for commerce, the EU and US often adopt contrasting approaches.  While the US often tries to export its product standards in trade diplomacy, the EU tends to write rules for itself and let the gravity of its huge market pull other economies into its regulatory orbit. Businesses faced with multiple regulatory regimes will tend to work to the highest standard, known widely as the “Brussels effect”.  Companies such as Facebook have promised to follow GDPR throughout their global operations as the price of operating in Europe.

Excerpts from   Data protectionism: the growing menace to global business, Financial Times, May 13, 2018

Behavior Mining: your smartphone knows you better

Currently, understanding and assessing the readiness of the warfighter is complex, intrusive, done relatively infrequently, and relies heavily on self-reporting. Readiness is determined through medical intervention with the help of advanced equipment, such as electrocardiographs (EKGs) and otherspecialized medical devices that are too expensive and cumbersome to employ continuously without supervision in non-controlled environments. On the other hand, currently 92% of adults in the United States own a cell phone, which could be used as the basis for continuous, passive health and readiness assessment.  The WASH program will use data collected from cellphone sensors to enable novel algorithms that conduct passive, continuous, real-time assessment of the warfighter.

DARPA’s WASH [Warfighter Analytics using Smartphones for Health] will extract physiological signals, which may be weak and noisy, that are embedded in the data obtained through existing mobile device sensors (e.g., accelerometer, screen, microphone). Such extraction and analysis, done on a continuous basis, will be used to determine current health status and identify latent or developing health disorders. WASH will develop algorithms and techniques for identifying both known indicators of physiological problems (such as disease, illness, and/or injury) and deviations from the warfighter’s micro-behaviors that could indicate such problems.

Excerpt from Warfighter Analytics using Smartphones for Health (WASH)
Solicitation Number: DARPA-SN-17-4, May, 2, 2018

See also Modeling and discovering human behavior from smartphone sensing life-log data for identification purpose

Supply Chains Live: combating deforestation

366 companies, worth $2.9 trillion, have committed to eliminating deforestation from their supply chains, according to the organization Supply Change. Groups such as the Tropical Forest Alliance 2020, the Consumer Goods Forum and Banking Environment Initiative aim to help them achieve these goals.  Around 70 percent of the world’s deforestation still occurs as a result of production of palm oil, soy, beef, cocoa and other agricultural commodities. These are complex supply chains.  A global company like Cargill, for example, sources tropical palm, soy and cocoa from almost 2,000 mills and silos, relying on hundreds of thousands of farmers. Also, many products are traded on spot markets, so supply chains can change on a daily basis. Such scale and complexity make it difficult for global corporations to trace individual suppliers and root out bad actors from supply chains.

Global Forest Watch (GFW), a WRI-convened partnership that uses satellites and algorithms to track tree cover loss in near-real time, is one example. Any individual with a cell phone and internet connection can now check if an area of forest as small as a soccer penalty box was cleared anywhere in the world since 2001. GFW is already working with companies like Mars, Unilever, Cargill and Mondelēz in order to assess deforestation risks in an area of land the size of Mexico.

Other companies are also employing technological advances to track and reduce deforestation. Walmart, Carrefour and McDonalds have been working together with their main beef suppliers to map forests around farms in the Amazon in order to identify risks and implement and monitor changes. Banco do Brasil and Rabobank are mapping the locations of their clients with a mobile-based application in order to comply with local legal requirements and corporate commitments. And Trase, a web tool, publicizes companies’ soy-sourcing areas by analyzing enormous amounts of available datasets, exposing the deforestation risks in those supply chains…

[C]ompanies need to incorporate the issue into their core business strategies by monitoring deforestation consistently – the same way they would track stock markets.

With those challenges in mind, WRI and a partnership of major traders, retailers, food processors, financial institutions and NGOs are building the go-to global decision-support system for monitoring and managing land-related sustainability performance, with a focus on deforestation commitments. Early partners include Bunge, Cargill, Walmart, Carrefour, Mars, Mondelēz, the Inter-American Investment Corporation, the Nature Conservancy, Rainforest Alliance and more.  Using the platform, a company will be able to plot the location of thousands of mills, farms or municipalities; access alerts and dashboards to track issues such as tree cover loss and fires occurring in those areas; and then take action. Similarly, a bank will be able to map the evolution of deforestation risk across its whole portfolio. This is information that investors are increasingly demanding.

Excerpt from Save the Forests? There’s Now an App for That, World Resources Institute, Jan. 18, 2017