Congress Is Broken. CrowdLaw Could Help Fix It.

Curated on Posted on by Stefaan Verhulst

Beth Noveck in Forbes: “The way Congress makes law is simply no longer viable. In David Schoenbrod’s recent book DC Confidential, he outlines “five tricks” politicians use to take credit in front of television cameras in order to further political party agendas while passing the blame and the buck to future generations for bad legislation. Although Congress makes the laws that govern all Americans, people also feel disenfranchised. One study concludes that “the preferences of the average American appear to have only a minuscule, near-zero, statistically non-significant impact upon public policy.” But technology offers the promise of improving both the quality and accountability of lawmaking by opening up the process to more and more diverse expertise and input from the public at every stage of the legislative process. We call such open and participatory lawmaking: “CrowdLaw.”

Moving Beyond the Ballot Box

Around the world, there are already over two dozen examples of local legislatures and national parliaments turning to the internet to improve the legitimacy and effectiveness of the laws they make; we need to do the same here if we are to begin to fix congressional dysfunction.

For example, Finland’s Citizen’s Initiative Act at the national level, like Madrid’s Decide initiative at the local level, allows any member of the public with the requisite signatures to propose new legislation, meaning that not only interest groups and politicians get to set the agenda for lawmaking.

In France, the Parlement & Citoyens platform allows the public to respond to a problem posed by a representative by contributing information about both causes and solutions. Relevant citizen input is then synthesized, debated, and incorporated into the resulting draft legislation. This brings greater empiricism into the legislative process through public contribution of expertise….(More)”.

Urban Big Data: City Management and Real Estate Markets

Curated on Posted on by Stefaan Verhulst

Report by Richard Barkham, Sheharyar Bokhari and Albert Saiz: “In this report, we discuss recent trends in the application of urban big data and their impact on real estate markets. We expect such technologies to improve quality of life and the productivity of cities over the long run.

We forecast that smart city technologies will reinforce the primacy of the most successful global metropolises at least for a decade or more. A few select metropolises in emerging countries may also leverage these technologies to leapfrog on the provision of local public services.

In the long run, all cities throughout the urban system will end up adopting successful and cost-effective smart city initiatives. Nevertheless, smaller-scale interventions are likely to crop up everywhere, even in the short run. Such targeted programs are more likely to improve conditions in blighted or relatively deprived neighborhoods, which could generate gentrification and higher valuations there. It is unclear whether urban information systems will have a centralizing or suburbanizing impact. They are likely to make denser urban centers more attractive, but they are also bound to make suburban or exurban locations more accessible…(More)”.

They Are Watching You—and Everything Else on the Planet

Curated on Posted on by Stefaan Verhulst

Cover article by Robert Draper for Special Issue of the National Geographic: “Technology and our increasing demand for security have put us all under surveillance. Is privacy becoming just a memory?…

In 1949, amid the specter of European authoritarianism, the British novelist George Orwell published his dystopian masterpiece 1984, with its grim admonition: “Big Brother is watching you.” As unsettling as this notion may have been, “watching” was a quaintly circumscribed undertaking back then. That very year, 1949, an American company released the first commercially available CCTV system. Two years later, in 1951, Kodak introduced its Brownie portable movie camera to an awestruck public.

Today more than 2.5 trillion images are shared or stored on the Internet annually—to say nothing of the billions more photographs and videos people keep to themselves. By 2020, one telecommunications company estimates, 6.1 billion people will have phones with picture-taking capabilities. Meanwhile, in a single year an estimated 106 million new surveillance cameras are sold. More than three million ATMs around the planet stare back at their customers. Tens of thousands of cameras known as automatic number plate recognition devices, or ANPRs, hover over roadways—to catch speeding motorists or parking violators but also, in the case of the United Kingdom, to track the comings and goings of suspected criminals. The untallied but growing number of people wearing body cameras now includes not just police but also hospital workers and others who aren’t law enforcement officers. Proliferating as well are personal monitoring devices—dash cams, cyclist helmet cameras to record collisions, doorbells equipped with lenses to catch package thieves—that are fast becoming a part of many a city dweller’s everyday arsenal. Even less quantifiable, but far more vexing, are the billions of images of unsuspecting citizens captured by facial-recognition technology and stored in law enforcement and private-sector databases over which our control is practically nonexistent.

Those are merely the “watching” devices that we’re capable of seeing. Presently the skies are cluttered with drones—2.5 million of which were purchased in 2016 by American hobbyists and businesses. That figure doesn’t include the fleet of unmanned aerial vehicles used by the U.S. government not only to bomb terrorists in Yemen but also to help stop illegal immigrants entering from Mexico, monitor hurricane flooding in Texas, and catch cattle thieves in North Dakota. Nor does it include the many thousands of airborne spying devices employed by other countries—among them Russia, China, Iran, and North Korea.

We’re being watched from the heavens as well. More than 1,700 satellites monitor our planet. From a distance of about 300 miles, some of them can discern a herd of buffalo or the stages of a forest fire. From outer space, a camera clicks and a detailed image of the block where we work can be acquired by a total stranger….

This is—to lift the title from another British futurist, Aldous Huxley—our brave new world. That we can see it coming is cold comfort since, as Carnegie Mellon University professor of information technology Alessandro Acquisti says, “in the cat-and-mouse game of privacy protection, the data subject is always the weaker side of the game.” Simply submitting to the game is a dispiriting proposition. But to actively seek to protect one’s privacy can be even more demoralizing. University of Texas American studies professor Randolph Lewis writes in his new book, Under Surveillance: Being Watched in Modern America, “Surveillance is often exhausting to those who really feel its undertow: it overwhelms with its constant badgering, its omnipresent mysteries, its endless tabulations of movements, purchases, potentialities.”

The desire for privacy, Acquisti says, “is a universal trait among humans, across cultures and across time. You find evidence of it in ancient Rome, ancient Greece, in the Bible, in the Quran. What’s worrisome is that if all of us at an individual level suffer from the loss of privacy, society as a whole may realize its value only after we’ve lost it for good.”…(More)”.

Crowd monitoring through WiFi Data

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Article on the European JRC Open Day Experiment by Gioia Ciro; Tarchi Dario; Vespe Michele and Sermi Francesco: “The research pointed out the feasibility of crowd monitoring through WiFi data. A methodology has been developed and tested using real data. The data were collected during the JRC Open Day 2016 by 20 WiFi access points deployed on the Ispra site. The methodology includes a cleaning procedure to identify actual users and a user localization technique based on a modified WeC approach. The estimated number of attending people were compared with the statistics of the security service showing evident consistency; the possibility to validate the results with independent information represents a significant added value to this research. Finally, the proposed approach allowed to reconstruct the distribution of people within the site in different time spots….(More)”.

‘Politics done like science’: Critical perspectives on psychological governance and the experimental state

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Paper by Rhys Jones and Mark Whitehead There has been a growing academic recognition of the increasing significance of psychologically – and behaviourally – informed modes of governance in recent years in a variety of different states. We contend that this academic research has neglected one important theme, namely the growing use of experiments as a way of developing and testing novel policies. Drawing on extensive qualitative and documentary research, this paper develops critical perspectives on the impacts of the psychological sciences on public policy, and considers more broadly the changing experimental form of modern states. The tendency for emerging forms of experimental governance to be predicated on very narrow, socially disempowering, visions of experimental knowledge production is critiqued. We delineate how psychological governance and emerging forms of experimental subjectivity have the potential to enable more empowering and progressive state forms and subjectivities to emerge through more open and collective forms of experimentation…(More)”.

Extracting crowd intelligence from pervasive and social big data

Curated on Posted on by Stefaan Verhulst

Introduction by Leye Wang, Vincent Gauthier, Guanling Chen and Luis Moreira-Matias of Special Issue of the Journal of Ambient Intelligence and Humanized Computing: “With the prevalence of ubiquitous computing devices (smartphones, wearable devices, etc.) and social network services (Facebook, Twitter, etc.), humans are generating massive digital traces continuously in their daily life. Considering the invaluable crowd intelligence residing in these pervasive and social big data, a spectrum of opportunities is emerging to enable promising smart applications for easing individual life, increasing company profit, as well as facilitating city development. However, the nature of big data also poses fundamental challenges on the techniques and applications relying on the pervasive and social big data from multiple perspectives such as algorithm effectiveness, computation speed, energy efficiency, user privacy, server security, data heterogeneity and system scalability. This special issue presents the state-of-the-art research achievements in addressing these challenges. After the rigorous review process of reviewers and guest editors, eight papers were accepted as follows.

The first paper “Automated recognition of hypertension through overnight continuous HRV monitoring” by Ni et al. proposes a non-invasive way to differentiate hypertension patients from healthy people with the pervasive sensors such as a waist belt. To this end, the authors train a machine learning model based on the heart rate data sensed from waists worn by a crowd of people, and the experiments show that the detection accuracy is around 93%.

The second paper “The workforce analyzer: group discovery among LinkedIn public profiles” by Dai et al. describes two users’ group discovery methods among LinkedIn public profiles. One is based on K-means and another is based on SVM. The authors contrast results of both methods and provide insights about the trending professional orientations of the workforce from an online perspective.

The third paper “Tweet and followee personalized recommendations based on knowledge graphs” by Pla Karidi et al. present an efficient semantic recommendation method that helps users filter the Twitter stream for interesting content. The foundation of this method is a knowledge graph that can represent all user topics of interest as a variety of concepts, objects, events, persons, entities, locations and the relations between them. An important advantage of the authors’ method is that it reduces the effects of problems such as over-recommendation and over-specialization.

The fourth paper “CrowdTravel: scenic spot profiling by using heterogeneous crowdsourced data” by Guo et al. proposes CrowdTravel, a multi-source social media data fusion approach for multi-aspect tourism information perception, which can provide travelling assistance for tourists by crowd intelligence mining. Experiments over a dataset of several popular scenic spots in Beijing and Xi’an, China, indicate that the authors’ approach attains fine-grained characterization for the scenic spots and delivers excellent performance.

The fifth paper “Internet of Things based activity surveillance of defence personnel” by Bhatia et al. presents a comprehensive IoT-based framework for analyzing national integrity of defence personnel with consideration to his/her daily activities. Specifically, Integrity Index Value is defined for every defence personnel based on different social engagements, and activities for detecting the vulnerability to national security. In addition to this, a probabilistic decision tree based automated decision making is presented to aid defence officials in analyzing various activities of a defence personnel for his/her integrity assessment.

The sixth paper “Recommending property with short days-on-market for estate agency” by Mou et al. proposes an estate with short days-on-market appraisal framework to automatically recommend those estates using transaction data and profile information crawled from websites. Both the spatial and temporal characteristics of an estate are integrated into the framework. The results show that the proposed framework can estimate accurately about 78% estates.

The seventh paper “An anonymous data reporting strategy with ensuring incentives for mobile crowd-sensing” by Li et al. proposes a system and a strategy to ensure anonymous data reporting while ensuring incentives simultaneously. The proposed protocol is arranged in five stages that mainly leverage three concepts: (1) slot reservation based on shuffle, (2) data submission based on bulk transfer and multi-player dc-nets, and (3) incentive mechanism based on blind signature.

The last paper “Semantic place prediction from crowd-sensed mobile phone data” by Celik et al. semantically classifes places visited by smart phone users utilizing the data collected from sensors and wireless interfaces available on the phones as well as phone usage patterns, such as battery level, and time-related information, with machine learning algorithms. For this study, the authors collect data from 15 participants at Galatasaray University for 1 month, and try different classification algorithms such as decision tree, random forest, k-nearest neighbour, naive Bayes, and multi-layer perceptron….(More)”.

Improving journeys by opening data: The case of Transport for London (TfL)

Curated on Posted on by Stefaan Verhulst

Merlin Stone and Eleni Aravopoulou in The Bottom Line: “This case study describes how one of the world’s largest public transport operations, Transport for London (TfL), transformed the real-time availability of information for its customers and staff through the open data approach, and what the results of this transformation were. Its purpose is therefore to show what is required for an open data approach to work.

This case study is based mainly on interviews at TfL and data supplied by TfL directly to the researchers. It analyses as far as possible the reported facts of the case, in order to identify the processes required to open data and the benefits thereof.

The main finding is that achieving an open data approach in public transport is helped by having a clear commitment to the idea that the data belongs to the public and that third parties should be allowed to use and repurpose the information, by having a strong digital strategy, and by creating strong partnerships with data management organisations that can support the delivery of high volumes of information.

The case study shows how open data can be used to create commercial and non-commercial customer-facing products and services, which passengers and other road users use to gain a better travel experience, and that this approach can be valued in terms of financial/economic contribution to customers and organisations….(More)”.

Appropriating technology for accountability

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Research report by Rosie McGee with Duncan Edwards, Colin Anderson, Hannah Hudson and Francesca Feruglio: “Making All Voices Count was a programme designed to solve the ‘grand challenge’ of creating more effective democratic governance and accountability around the world. Conceived in an era of optimism about the use of tech to open up government and allow more fluid communication between citizens and governments, it used funding from four donors to support the development and spread of innovative ideas for solving governance problems – many of them involving tools and platforms based on mobile phone and web technologies. Between 2013 and 2017, the programme made grants for innovation and scaling projects that aimed to amplify the voices of citizens and enable governments to listen and respond. It also conducted research and issued research grants to explore the roles that technology can play in securing responsive, accountable government.

This synthesis report reviews the Making All Voices Count’s four-and-a-half years of operational experience and learning. In doing so, it revisits and assesses the key working assumptions and expectations about the roles that technologies can play in governance, which underpinned the programme at the outset. The report draws on a synthesis of evidence from Making All Voices Count’s 120+ research, evidence and learning-focused publications, and the insights and knowledge that arose from the innovation, scaling and research projects funded through the programme, and the related grant accompaniment activities.

It shares 14 key messages on the roles technologies can play in enabling citizen voice and accountable and responsive governance. These messages are presented in four sections:

  • Applying technologies as technical fixes to solve service delivery problems
  • Applying technologies to broader, systemic governance challenges
  • Applying technologies to build the foundations of democratic and accountable governance systems
  • Applying technologies for the public ‘bad’.

The research concludes that the tech optimism of the era in which the programme was conceived can now be reappraised from the better-informed vantage point of hindsight. Making All Voices Count’s wealth of diverse and grounded experience and documentation provides an evidence base that should enable a more sober and mature position of tech realism as the field of tech for accountable governance continues to evolve….(More)”.

The Assault on Reason

Curated on Posted on by Stefaan Verhulst

Zia Haider Rahman at the New York Review of Books: “Albert Einstein was awarded a Nobel Prize not for his work on relativity, but for his explanation of the photoelectric effect. Both results, and others of note, were published in 1905, his annus mirabilis. The prize was denied him for well over a decade, with the Nobel Committee maintaining that relativity was yet unproven. Philosophers of science, most notably Karl Popper, have argued that for a theory to be regarded as properly scientific it must be capable of being contradicted by observation. In other words, it must yield falsifiable predictions—predictions that could, in principle, be shown to be wrong. On the basis of his theory, Einstein predicted that starlight was being deflected by the sun by specified degrees. This was a prediction that was, in principle, capable of being wrong and therefore capable of falsifying relativity. The physicist offered signs others could look for that would lend credibility to his theory—or refute it. Evidence eventually came from the work of Arthur Eddington and the arrival of instruments that could make sufficiently fine measurements, though Einstein’s Nobel medal would elude him for two more years because of gathering anti-Semitism in Europe.

Mathematics, so often lumped together with the sciences, actually adheres to an entirely different standard. A mathematical theorem never submits itself to hypothesis testing, never needs an experiment to support its validity. Once described to me as an education in thinking without the encumbrance of facts, mathematics is unlike the sciences in that no empirical finding can ever shift a mathematical theorem by one iota; it is true forever. Mathematical reasoning is a given, something commonly understood and shared by all mathematicians, because mathematical reasoning is, fundamentally, no more than logical reasoning, a thing universally shared. My own study of mathematics has left me with a deep respect for the distinction between relevance and irrelevance in making a reasoned argument.

These are the gold standards of human intellectual progress. Society, however, has to deal with wildly contested facts. We live in a post-truth world, by some accounts, in which facts are willfully bent to serve political ends. If the forty-fifth president is to be believed, Christmas has apparently been restored to the White House. Never mind the contradictory videos of the forty-fourth president and his family celebrating the holiday.

But there is nothing particularly new about this distorting. In his landmark work, Public Opinion, published in 1922, the formidable American journalist, Walter Lippmann reflected on the functions of the press:

That the manufacture of consent is capable of great refinements no one, I think, denies. The process by which public opinions arise is certainly no less intricate than it has appeared in these pages, and the opportunities for manipulation open to anyone who understands the process are plain enough.… as a result of psychological research, coupled with the modern means of communication, the practice of democracy has turned a corner. A revolution is taking place, infinitely more significant than any shifting of economic power.… Under the impact of propaganda, not necessarily in the sinister meaning of the word alone, the old constants of our thinking have become variables. It is no longer possible, for example, to believe in the original dogma of democracy; that the knowledge needed for the management of human affairs comes up spontaneously from the human heart. Where we act on that theory we expose ourselves to self-deception, and to forms of persuasion that we cannot verify. It has been demonstrated that we cannot rely upon intuition, conscience, or the accidents of casual opinion if we are to deal with the world beyond our reach.

Everyone is entitled to his own opinion, but not his own facts, as United States Senator Daniel Patrick Moynihan was fond of saying. None of us is in a position, however, to verify all the facts presented to us. Somewhere, we each draw a line and say on this I will defer to so-and-so or such-and-such. We have only so many hours in the day. Besides, we acknowledge that some matters lie outside our expertise or even our capacity to comprehend. Doctors and lawyers make their livings on such basis.

But it is not merely facts that are under assault in the polarized politics of the US, the UK, and other nations twisting in the winds of what some call populism. There is also a troubling assault on reason….(More)”.

The Potential for Human-Computer Interaction and Behavioral Science

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Article by Kweku Opoku-Agyemang as  part of a special issue by Behavioral Scientist on “Connected State of Mind,” which explores the impact of tech use on our behavior and relationships (complete issue here):

A few days ago, one of my best friends texted me a joke. It was funny, so a few seconds later I replied with the “laughing-while-crying emoji.” A little yellow smiley face with tear drops perched on its eyes captured exactly what I wanted to convey to my friend. No words needed. If this exchange happened ten years ago, we would have emailed each other. Two decades ago, snail mail.

As more of our interactions and experiences are mediated by screens and technology, the way we relate to one another and our world is changing. Posting your favorite emoji may seem superficial, but such reflexes are becoming critical for understanding humanity in the 21st century.

Seemingly ubiquitous computer interfaces—on our phones and laptops, not to mention our cars, coffee makers, thermostats, and washing machines—are blurring the lines between our connected and our unconnected selves. And it’s these relationships, between users and their computers, which define the field of human–computer interaction (HCI). HCI is based on the following premise: The more we understand about human behavior, the better we can design computer interfaces that suit people’s needs.

For instance, HCI researchers are designing tactile emoticons embedded in the Braille system for individuals with visual impairments. They’re also creating smartphones that can almost read your mind—predicting when and where your finger is about to touch them next.

Understanding human behavior is essential for designing human-computer interfaces. But there’s more to it than that: Understanding how people interact with computer interfaces can help us understand human behavior in general.

One of the insights that propelled behavioral science into the DNA of so many disciplines was the idea that we are not fully rational: We procrastinate, forget, break our promises, and change our minds. What most behavioral scientists might not realize is that as they transcended rationality, rational models found a new home in artificial intelligence. Much of A.I. is based on the familiar rational theories that dominated the field of economics prior to the rise of behavioral economics. However, one way to better understand how to apply A.I. in high-stakes scenarios, like self-driving cars, may be to embrace ways of thinking that are less rational.

It’s time for information and computer science to join forces with behavioral science. The mere presence of a camera phone can alter our cognition even when switched off, so if we ignore HCI in behavioral research in a world of constant clicks, avatars, emojis, and now animojis we limit our understanding of human behavior.

Below I’ve outlined three very different cases that would benefit from HCI researchers and behavioral scientists working together: technology in the developing world, video games and the labor market, and online trolling and bullying….(More)”.