Category Archives: Background Research

Big Data for Sustainable Development

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Big Data

The volume of data in the world is increasing exponentially. By some estimates, 90% of the data in the world has been created in the last two years, and it is projected to increase by 40% annually. A large share of this output is “data exhaust,” or passively collected data deriving from everyday interactions with digital products or services, including mobile phones, credit cards, and social media. This deluge of digital data is known as big data.  Data is growing because it is increasingly being gathered by inexpensive and numerous information‐sensing, mobile devices and because the world’s capacity for storing information has roughly doubled every 40 months since the 1980s.

The Data Revolution

The data revolution — which encompasses the open data movement, the rise of crowdsourcing, new ICTs for data collection, and the explosion in the availability of big data, together with the emergence of artificial intelligence and the Internet of Things — is already transforming society. Advances in computing and data science now make it possible to process and analyse big data in real time. New insights gleaned from such data mining can complement official statistics and survey data, adding depth and nuance to information on human behaviours and experiences. The integration of this new data with traditional data should produce high-quality information that is more detailed, timely and relevant.

Opportunities

Data is the lifeblood of decision-making and the raw material for accountability. Today, in the private sector, analysis of big data is commonplace, with consumer profiling, personalised services, and predictive analysis being used for marketing, advertising and management. Similar techniques could be adopted to gain real-time insights into people’s wellbeing and to target aid interventions to vulnerable groups. New sources of data, new technologies, and new analytical approaches, if applied responsibly, can enable more agile, efficient and evidence-based decision-making and can better measure progress on the Sustainable Development Goals (SDGs) in a way that is both inclusive and fair.

Risks

Fundamental elements of human rights have to be safeguarded to realize the opportunities presented by big data: privacy, ethics and respect for data sovereignty require us to assess the rights of individuals along with the benefits of the collective. Much new data is collected passively – from the ‘digital footprints’ people leave behind and from sensor-enabled objects – or is inferred via algorithms. Because big data is the product of unique patterns of behaviour of individuals, removal of explicit personal information may not fully protect privacy. Combining multiple datasets may lead to the re-identification of individuals or groups of individuals, subjecting them to potential harms. Proper data protection measures must be put in place to prevent data misuse or mishandling.

There is also a risk of growing inequality and bias. Major gaps are already opening up between the data haves and have-nots. Without action, a whole new inequality frontier will split the world between those who know, and those who do not. Many people are excluded from the new world of data and information by language, poverty, lack of education, lack of technology infrastructure, remoteness or prejudice and discrimination. There is a broad range of actions needed, including building the capacities of all countries and particularly the Least Developed Countries (LDCs), Land-locked Developing Countries (LLDCs), and Small Island Developing States (SIDS).

Canada’s ‘Risk Tracking Database’ Similar to China’s Social Credit System

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Oh, my. Right under our noses, we become social risks to the credit system. Canada has become such a vassal nation.

Documents obtained by Motherboard from Ontario’s Ministry of Community Safety and Correctional Services (MCSCS) through an access to information request show that at least two provinces Ontario and Saskatchewan – maintain a “Risk-driven Tracking Database” that is used to amass highly sensitive information about people’s lives. Information in the database includes whether a person uses drugs, has been the victim of an assault, or lives in a “negative neighborhood.”

The Risk-driven Tracking Database (RTD) is part of a collaborative approach to policing called the Hub model that partners cops, school staff, social workers, health care workers, and the provincial government.

Information about people believed to be “at risk” of becoming criminals or victims of harm is shared between civilian agencies and police and is added to the database when a person is being evaluated for a rapid intervention intended to lower their risk levels. Interventions can range from a door knock and a chat to forced hospitalization or arrest.

Data from the RTD is analyzed to identify trends – for example, a spike in drug use in a particular area – with the goal of producing planning data to deploy resources effectively, and create “community profiles” that could accelerate interventions under the Hub model, according to a 2015 Public Safety Canada report.

Source: Canada’s ‘Risk Tracking Database’ Similar to China’s Social Credit System

Better Language Models and Their Implications

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We’ve trained a large-scale unsupervised language model which generates coherent paragraphs of text, achieves state-of-the-art performance on many language modeling benchmarks, and performs rudimentary reading comprehension, machine translation, question answering, and summarization — all without task-specific training. VIEW CODE READ PAPER READ MORE Our model, called GPT-2 (a successor to GPT), was trained simply to predict the next word in 40GB of Internet text. Due to our concerns about malicious applic

Source: Better Language Models and Their Implications

Why Everything That Needs To Be Fixed Remains Permanently Broken | Zero Hedge

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Source: Why Everything That Needs To Be Fixed Remains Permanently Broken | Zero Hedge

A Nobel Peace Prize Winner on the Economics of Slave Labour | Wealthsimple

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I just wanna’…

I grew up in a small town called Vidisha, in central India. My family wasn’t poor, but we weren’t rich, either. You might say we were lower-middle class. My father was a policeman, and my mother a housewife. At five-years-old, on my very first day ever going to school, I saw another young boy sitting outside the school gates. He was a cobbler’s son, and he called to my friends and I to see if we needed our shoes repaired. It was our first day of school and our parents had just given all of us new shoes, so we passed him by. But once I was inside, I couldn’t stop thinking about the boy.

All of my friends and relatives went to school. But this boy … this boy did not. It was baffling to me. I asked my teacher, “Why is a child outside the gates and not with the rest of us here in the classroom?” She looked at me and said, “Oh, calm down. Calm down! Poor children have to work. It’s normal.”

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But this still made no sense to me. I asked the principal the same question, and again received the same response. When I got home, I asked my parents, and then their friends. Everyone said the same thing: This is normal. But every morning and afternoon, entering school and leaving at the end of the day, I saw the same boy, calling out for business beside the front gates. To me it seemed clear that this was not normal. And that made me angry.

One day, I saw the child’s father working alongside him, on the doorstep of my school. I asked them: Why is this boy out here working, when the rest of us kids are inside? The boy was shy. He was the same age as me, just five or six years old. He didn’t know what to say, but his father, the cobbler, responded, “I never thought about it. My grandfather, my father, and I, all started working when we were children. Some people are just born to work.”

It has always seemed an obvious injustice to me for any child to have to lose their childhood and freedom in order to work. The spark that was lit inside of me that day has carried me through a decades-long struggle to fight for the rights of children.

I found that idea shocking. Why would some people be “born to work,” just because they’re from a particular community, a particular caste, a certain country, or they’re a certain race or gender. I told the man that I rejected the idea of any child being “born to work” — and I still reject the idea sixty years later.

It has always seemed an obvious injustice to me for any child to have to lose their childhood and freedom in order to work. The spark that was lit inside of me that day has carried me through a decades-long struggle to fight for the rights of children. Right now, globally, over 152 million children are working full-time jobs.

A cobbler asking his five year old son to work alongside him is troublesome, but in India the problem is often much more sinister. Child slavery is rampant. Some kids are simply kidnapped and brought to mines, factories, and agricultural jobs. But often, here’s how it unfolds: A “recruiter” will visit a rural village, saying he’s looking for children to hire at a factory in the city. The children’s parents, destitute and jobless themselves, might unwittingly offer their children, believing it’s a legitimate and worthwhile opportunity. The recruiter might pay a month’s wages up front — 1,000 to 2,000 rupees ($12 to $25) — and promise that more money will be on its way once the child begins to work. After a week in the village, the recruiter returns to the city with dozens of kids in tow.

Of course, the factory never intends to pay the kids for their work, nor return the kids to their parents. They become slave labour. Sometimes the kids might earn 50 rupees a week, which is less than a dollar. And they’ll have to use that money to buy themselves food on supervised visits to a food stall. It’s indentured servitude, essentially. Imagine being a seven or eight year old and having to think about what you need to buy from a food stall each week to sustain yourself — it’s harrowing.

Over time, the children are brainwashed by their handlers. They think that their parents are continuing to be paid as they’re working. The factory managers tell them, “We’re sending money home every week. This is a great thing you’re doing. You’re helping your family.” It’s heartbreaking because many of the kids take so much pride in their work. They think that they’re doing something meaningful for their family, providing opportunities for their parents, their siblings, and themselves, when in fact their family isn’t getting anything. The details are diabolical. Kids are told that back home their mother or grandmother is ill. “You have to work extra hard this week to pay for the medicine,” the handlers tell them. “Otherwise, they will die.” Every week, it’s a different story.

Meanwhile, the families may eventually realize they’ve sold their children into slavery, but they feel helpless, complicit, and ashamed. The local police are often bribed by the abductors and offer little help. Parents feel they have nowhere to turn.

Source: A Nobel Peace Prize Winner on the Economics of Slave Labour | Wealthsimple