Why big data may be having a big effect on how our politics plays out

Curated on Posted on by Stefaan Verhulst

 in The Conversation: “…big data… is an inconceivably vast mass of information, which at first glance would seem a giant mess; just white noise.

Unless you know how to decipher it.

According to a story first published in Zurich-based Das Magazin in December and more recently taken up by Motherboard, events such as Brexit and Trump’s ascendency may have been made possible through just such deciphering. The argument is that technology combining psychological profiling and data analysis may have played a pivotal part in exploiting unconscious bias at the individual voter level. The theory is this was used in the recent US election to increase or suppress votes to benefit particular candidates in crucial locations. It is claimed that the company behind this may be active in numerous countries.

The technology at play is based on the integration of a model of psychological profiling known as OCEAN. This uses the details contained within individuals’ digital footprints to create user-specific profiles. These map to the level of the individual, identifiable voter, who can then be manipulated by exploiting beliefs, preferences and biases that they might not even be aware of, but which their data has revealed about them in glorious detail.

As well as enabling the creation of tailored media content, this can also be used to create scripts of relevant talking points for campaign doorknockers to focus on, according to the address and identity of the householder to whom they are speaking.

This goes well beyond the scope and detail of previous campaign strategies. If the theory about the role of these techniques is correct, it signals a new landscape of political strategising. An active researcher in the field, when writing about the company behind this technology (which Trump paid for services during his election campaign), described the potential scale of such technologies:

Marketers have long tailored their placement of advertisements based on their target group, for example by placing ads aimed at conservative consumers in magazines read by conservative audiences. What is new about the psychological targeting methods implemented by Cambridge Analytica, however, is their precision and scale. According to CEO Alexander Nix, the company holds detailed psycho-demographic profiles of more than 220 million US citizens and used over 175,000 different ad messages to meet the unique motivations of their recipients….(More)”

RideComfort: A Development of Crowdsourcing Smartphones in Measuring Train Ride Quality

Curated on Posted on by Stefaan Verhulst

Adam Azzoug and Sakdirat Kaewunruen in Frontiers in Built Environment: “Among the many million train journeys taking place every day, not all of them are being measured or monitored for ride comfort. Improving ride comfort is important for railway companies to attract more passengers to their train services. Giving passengers the ability to measure ride comfort themselves using their smartphones allows railway companies to receive instant feedback from passengers regarding the ride quality on their trains. The purpose of this development is to investigate the feasibility of using smartphones to measure vibration-based ride comfort on trains. This can be accomplished by developing a smartphone application, analyzing the data recorded by the application, and verifying the data by comparing it to data from a track inspection vehicle or an accelerometer. A literature review was undertaken to examine the commonly used standards to evaluate ride comfort, such as the BS ISO 2631-1:1997 standard and Sperling’s ride index as proposed by Sperling and Betzhold (1956). The literature review has also revealed some physical causes of ride discomfort such as vibrations induced by roughness and irregularities present at the wheel/rail interface. We are the first to use artificial neural networks to map data derived from smartphones in order to evaluate ride quality. Our work demonstrates the merits of using smartphones to measure ride comfort aboard trains and suggests recommendations for future technological improvement. Our data argue that the accelerometers found in modern smartphones are of sufficient quality to be used in evaluating ride comfort. The ride comfort levels predicted both by BS ISO 2631-1 and Sperling’s index exhibit excellent agreement…(More)”

Unconscious gender bias in the Google algorithm

Curated on Posted on by Stefaan Verhulst

Interview in Metode with Londa Schiebinger, director of Gendered Innovations: “We were interested, because the methods of sex and gender analysis are not in the university curriculum, yet it is very important. The first thing our group did was to develop those methods and we present twelve methods on the website. We knew it would be very important to create case studies or concrete examples where sex and gender analysis added something new to the research. One of my favorite examples is machine translation. If you look at Google Translate, which is the main one in the United States – SYSTRAN is the main one in Europe – we found that it defaults the masculine pronoun. So does SYSTRAN. If I put an article about myself into Google Translate, it defaults to «he said» instead of «she said». So, in an article of one of my visits to Spain, it defaults to «he thinks, he says…» and, occasionally, «it wrote». We wondered why this happened and we found out, because Google Translate works on an algorithm, the problem is that «he said» appears on the web four times more than «she said», so the machine gets it right if it chooses «he said». Because the algorithm is just set up for that. But, anyway, we found that there was a huge change in English language from 1968 to the current time, and the proportion of «he said» and «she said» changed from 4-to-1 to 2-to-1. But, still, the translation does not take this into account. So we went to Google and we said «Hey, what is going on?» and they said «Oh, wow, we didn’t know, we had no idea!». So what we recognized is that there is an unconscious gender bias in the Google algorithm. They did not intend to do this at all, so now there are a lot of people who are trying to fix it….

How can you fix that?

Oh, well, this is the thing! …I think algorithms in general are a problem because if there is any kind of unconscious bias in the data, the algorithm just returns that to you. So even though Google has policies, company policies, to support gender equality, they had an unconscious bias in their product and they do not mean to. Now that they know about it, they can try to fix it….(More)”

Rules for a Flat World – Why Humans Invented Law and How to Reinvent It for a Complex Global Economy

Curated on Posted on by Stefaan Verhulst

Book by Gillian Hadfield: “… picks up where New York Times columnist Thomas Friedman left off in his influential 2005 book, The World is Flat. Friedman was focused on the infrastructure of communications and technology-the new web-based platform that allows business to follow the hunt for lower costs, higher value and greater efficiency around the planet seemingly oblivious to the boundaries of nation states. Hadfield peels back this technological platform to look at the ‘structure that lies beneath’—our legal infrastructure, the platform of rules about who can do what, when and how. Often taken for granted, economic growth throughout human history has depended at least as much on the evolution of new systems of rules to support ever-more complex modes of cooperation and trade as it has on technological innovation. When Google rolled out YouTube in over one hundred countries around the globe simultaneously, for example, it faced not only the challenges of technology but also the staggering problem of how to build success in the context of a bewildering and often conflicting patchwork of nation-state-based laws and legal systems affecting every aspect of the business-contract, copyright, encryption, censorship, advertising and more. Google is not alone. A study presented at the World Economic Forum in Davos in 2011 found that for global firms, the number one challenge of the modern economy is increasing complexity, and the number one source of complexity is law. Today, even our startups, the engines of economic growth, are global from Day One.

Put simply, the law and legal methods on which we currently rely have failed to evolve along with technology. They are increasingly unable to cope with the speed, complexity, and constant border-crossing of our new globally inter-connected environment. Our current legal systems are still rooted in the politics-based nation state platform on which the industrial revolution was built. Hadfield argues that even though these systems supported fantastic growth over the past two centuries, today they are too slow, costly, cumbersome and localized to support the exponential rise in economic complexity they fostered. …

The answer to our troubles with law, however, is not the one critics usually reach for—to have less of it. Recognizing that law provides critical infrastructure for the cooperation and collaboration on which economic growth is built is the first step, Hadfield argues, to building a legal environment that does more of what we need it to do and less of what we don’t. …(More)”

What Communication Can Contribute to Data Studies: Three Lenses on Communication and Data

Curated on Posted on by Stefaan Verhulst

Andrew Schrock at the International Journal of Communication: “We are awash in predictions about our data-driven future. Enthusiasts believe big data imposes new ways of knowing, while critics worry it will enable powerful regimes of institutional control. This debate has been of keen interest to communication scholars. To encourage conceptual clarity, this article draws on communication scholarship to suggest three lenses for data epistemologies. I review the common social scientific perspective of communication as data. A data as discourse lens interrogates the meanings that data carries. Communication around data describes moments where data are constructed. By employing multiple perspectives, we might understand how data operate as a complex structure of dominance….(More)”

Troopers Use ‘Big Data’ to Predict Crash Sites

Curated on Posted on by Stefaan Verhulst

Jenni Bergal at Pew Charitable Trusts: “As Tennessee Highway Patrol Sgt. Anthony Griffin patrolled an area near Murfreesboro one morning in January 2014, he gave a young woman a ticket for driving her Geo Prizm without wearing a seat belt.

About four hours later, Griffin was dispatched to help out at the scene of a major accident a few miles away. A car had veered off the road, sailed over a bridge, struck a utility pole and landed in a frozen pond. When Griffin went to question the driver, who appeared uninjured, he was shocked to find it was the same woman he had ticketed earlier.

She told him she had been wearing her seat belt only because he had given her a ticket. She believed it had saved her life. And if it hadn’t been for new crash prediction software his agency was using, Griffin said he wouldn’t have been in that spot to issue her the ticket.

“I’m in my 21st year of law enforcement and I’ve never come across anything where I could see the fruit of my work in this fashion,” said Griffin, who is now a lieutenant. “It was amazing.”

As more and more states use “big data” for everything from catching fraudsters to reducing heath care costs, some highway patrols are tapping it to predict where serious or fatal traffic accidents are likely to take place so they can try to prevent them….

Indiana State Police decided to take a different approach, and are making their predictive crash analytics program available to the public, as well as troopers.

A color-coded Daily Crash Prediction map, which went online in November, pulls together data that includes crash reports from every police agency in the state dating to 2004, daily traffic volume, historical weather information and the dates of major holidays, said First Sgt. Rob Simpson….(More)”

Crowdsourced Science: Sociotechnical Epistemology in the e-Research Paradigm

Curated on Posted on by Stefaan Verhulst

Paper by David Watson and Luciano Floridi: “Recent years have seen a surge in online collaboration between experts and amateurs on scientific research. In this article, we analyse the epistemological implications of these crowdsourced projects, with a focus on Zooniverse, the world’s largest citizen science web portal. We use quantitative methods to evaluate the platform’s success in producing large volumes of observation statements and high impact scientific discoveries relative to more conventional means of data processing. Through empirical evidence, Bayesian reasoning, and conceptual analysis, we show how information and communication technologies enhance the reliability, scalability, and connectivity of crowdsourced e-research, giving online citizen science projects powerful epistemic advantages over more traditional modes of scientific investigation. These results highlight the essential role played by technologically mediated social interaction in contemporary knowledge production. We conclude by calling for an explicitly sociotechnical turn in the philosophy of science that combines insights from statistics and logic to analyse the latest developments in scientific research….(More)”

Best Government Emerging Technologies

Curated on Posted on by Stefaan Verhulst

Report released at the World Government Summit (Dubai): “… the “Best Government Emerging Technologies” recognises governments that are experimenting with emerging technologies to provide government services more e ciently, e ectively and have proven results showing how they have created greater public value and transformed people›s lives.

For this purpose, the Prime Minister’s Office has joined forces with Indra to analyse and identify 29 Emerging Technologies, grouped in 9 categories that include technologies such as Artificial Intelligence, Blockchain, Cloud Computing, Robotics & Space, Smart Platforms, amongst other.

Wherever possible, case studies have been analysed as example of the use of the technology in public bodies and government, taking into account that some of these technologies may not have been implemented yet in the public sector and therefore have not a ected the lives of citizens. e analysis comprises 73 international case studies from 32 di erent countries.

is document represents an executive summary of the analysis ndings, incorporating a brief description of the main Emerging Technologies where the selected cutting-edge digital technologies are introduced, followed by a number of examples of international case studies in which governments and public bodies have implemented these technologies….

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The chaos of South Africa’s taxi system is being tackled with open data

Curated on Posted on by Stefaan Verhulst

Lynsey Chutel at Quartz: “On any given day in South Africa’s cities the daily commute can be chaotic and unpredictable. A new open source data platform hopes to bring some order to that—or at least help others get it right.

Contributing to that chaos is a formal public transportation system that is inadequate for a growing urban population and an informal transportation network that whizzes through the streets unregulated. Where Is My Transport has done something unique by finally bringing these two systems together on one map.

Where Is My Transport has mapped Cape Town’s transport systems to create an integrated system, incorporating train, bus and minibus taxi routes. This last one is especially difficult, because the thousands of minibuses that ferry most South Africans are notoriously difficult to pin down.

Minibus taxis seat about 15 people and turn any corner into a bus stop, often halting traffic. They travel within neighborhoods and across the country and are the most affordable means of transport for the majority of South Africans. But they are also often unsafe vehicles, at times involved in horrific road accidents.

Devin De Vries, one of the platform’s co-founders, says he was inspired by the Digital Matatus project in Nairobi. The South African platform differs, however, in that it provides open source information for others who think they may have a solution to South Africa’s troubled public transportation system.

“Transport is a complex ecosystem, and we don’t think any one company will solve it, De Vries told Quartz. “That’s why we made our platform open and hope that many endpoints—apps, websites, et cetera—will draw on the data so people can access it.”

This could lead to trip planning apps like Moovit or Transit for African commuters, or help cities better map their public transportation system, De Vries hopes…(More)”

The Innovation-Friendly Organization

Curated on Posted on by Stefaan Verhulst

Book by Anna Simpson: “This book explores five cultural traits – Diversity, Integrity, Curiosity, Reflection, and Connection – that encourage the birth and successful development of new ideas, and shows how organizations that are serious about innovation can embrace them.

Innovation – the driver of change and resilience – It is totally dependent on culture, the social environment which shapes how ideas emerge and evolve. Ideas need to breathe, and culture determines the quality of the air. If it’s stuffy and lacks flow, then no idea, however brilliant, will live long enough to fulfil its potential.

Creating these innovation-friendly conditions is one of the key challenges facing organizations today, and one that is especially difficult for them – focused as they are on efficiency and control. Innovation, Anna Simpson argues, begins with diversity of thought and attitude: the opposite of conformity and standardisation.

Likewise, with ongoing pressures to deliver results before yesterday, how can organizations allow sufficient space for the seemingly aimless process of following interesting possibilities and pondering on the impact of various options?Anna Simpson shows how large organizations can adapt their culture to enable the exchange of different perspectives; to support each person to bring their whole self to their work; to embrace the aimlessness that fosters creative experimentation; to take the time to approach change with the care it deserves, and – lastly – to develop the collective strength needed to face the ultimate ‘sledgehammer test’….(More)”.