Stefaan Verhulst

David J. Craig at Columbia Magazine: “Armed with enormous amounts of clinical data, teams of computer scientists, statisticians, and physicians are rewriting the rules of medical research….

The deluge is upon us.

We are living in the age of big data, and with every link we click, every message we send, and every movement we make, we generate torrents of information.

In the past two years, the world has produced more than 90 percent of all the digital data that has ever been created. New technologies churn out an estimated 2.5 quintillion bytes per day. Data pours in from social media and cell phones, weather satellites and space telescopes, digital cameras and video feeds, medical records and library collections. Technologies monitor the number of steps we walk each day, the structural integrity of dams and bridges, and the barely perceptible tremors that indicate a person is developing Parkinson’s disease. These are the building blocks of our knowledge economy.

This tsunami of information is also providing opportunities to study the world in entirely new ways. Nowhere is this more evident than in medicine. Today, breakthroughs are being made not just in labs but on laptops, as biomedical researchers trained in mathematics, computer science, and statistics use powerful new analytic tools to glean insights from enormous data sets and help doctors prevent, treat, and cure disease.

“The medical field is going through a major period of transformation, and many of the changes are driven by information technology,” says George Hripcsak ’85PS,’00PH, a physician who chairs the Department of Biomedical Informatics at Columbia University Irving Medical Center (CUIMC). “Diagnostic techniques like genomic screening and high-resolution imaging are generating more raw data than we’ve ever handled before. At the same time, researchers are increasingly looking outside the confines of their own laboratories and clinics for data, because they recognize that by analyzing the huge streams of digital information now available online they can make discoveries that were never possible before.” …

Consider, for example, what the young computer scientist has been able to accomplish in recent years by mining an FDA database of prescription-drug side effects. The archive, which contains millions of reports of adverse drug reactions that physicians have observed in their patients, is continuously monitored by government scientists whose job it is to spot problems and pull drugs off the market if necessary. And yet by drilling down into the database with his own analytic tools, Tatonetti has found evidence that dozens of commonly prescribed drugs may interact in dangerous ways that have previously gone unnoticed. Among his most alarming findings: the antibiotic ceftriaxone, when taken with the heartburn medication lansoprazole, can trigger a type of heart arrhythmia called QT prolongation, which is known to cause otherwise healthy people to suddenly drop dead…(More)”

The Economist: “What might happen if technology, which smothers us with its bounty as consumers, made the same inroads into politics? Might data-driven recommendations suggest “policies we may like” just as Amazon recommends books? Would we swipe right to pick candidates in elections or answers in referendums? Could businesses expand into every cranny of political and social life, replete with ® and ™ at each turn? What would this mean for political discourse and individual freedom?

This dystopian yet all-too-imaginable world has been conjured up by Giuseppe Porcaro in his novel “Disco Sour”. The story takes place in the near future, after a terrible war and breakdown of nations, when the (fictional) illegitimate son of Roman Polanski creates an app called Plebiscitum that works like Tinder for politics.

Annabelle Timsit at Quartz: “To be a person in the modern world is to worry about your relationship with your phone. According to critics, smartphones are making us ill-mannered and sore-necked, dragging parents’ attention away from their kids, and destroying an entire generation.

But phones don’t have to be bad. With 4.68 billion people forecast to become mobile phone users by 2019, nonprofits and social science researchers are exploring new ways to turn our love of screens into a force for good. One increasingly popular option: Using texting to help change human behavior.

Texting: A unique tool

The short message service (SMS) was invented in the late 1980s, and the first text message was sent in 1992. (Engineer Neil Papworth sent “merry Christmas” to then-Vodafone director Richard Jarvis.) In the decades since, texting has emerged as the preferred communication method for many, and in particular younger generations. While that kind of habit-forming can be problematic—47% of US smartphone users say they “couldn’t live without” the device—our attachment to our phones also makes text-based programs a good way to encourage people to make better choices.

“Texting, because it’s anchored in mobile phones, has the ability to be with you all the time, and that gives us an enormous flexibility on precision,” says Todd Rose, director of the Mind, Brain, & Education Program at the Harvard Graduate School of Education. “When people lead busy lives, they need timely, targeted, actionable information.”

And who is busier than a parent? Text-based programs can help current or would-be moms and dads with everything from medication pickup to childhood development. Text4Baby, for example, messages pregnant women and young moms with health information and reminders about upcoming doctor visits. Vroom, an app for building babies’ brains, sends parents research-based prompts to help them build positive relationships with their children (for example, by suggesting they ask toddlers to describe how they’re feeling based on the weather). Muse, an AI-powered app, uses machine learning and big data to try and help parents raise creative, motivated, emotionally intelligent kids. As Jenny Anderson writes in Quartz: “There is ample evidence that we can modify parents’ behavior through technological nudges.”

Research suggests text-based programs may also be helpful in supporting young children’s academic and cognitive development. …Texts aren’t just being used to help out parents. Non-governmental organizations (NGOs) have also used them to encourage civic participation in kids and young adults. Open Progress, for example, has an all-volunteer community called “text troop” that messages young adults across the US, reminding them to register to vote and helping them find their polling location.

Text-based programs are also useful in the field of nutrition, where private companies and public-health organizations have embraced them as a way to give advice on healthy eating and weight loss. The National Cancer Institute runs a text-based program called SmokefreeTXT that sends US adults between three and five messages per day for up to eight weeks, to help them quit smoking.

Texting programs can be a good way to nudge people toward improving their mental health, too. Crisis Text Line, for example, was the first national 24/7 crisis-intervention hotline to conduct counseling conversations entirely over text…(More).

LSE Legal Studies Working Paper by Eva Micheler and Anna Whaley: “Recently both the Bank of England and the Financial Conduct Authority have carried out experiments using new digital technology for regulatory purposes. The idea is to replace rules written in natural legal language with computer code and to use artificial intelligence for regulatory purposes.

This new way of designing public law is in line with the government’s vision for the UK to become a global leader in digital technology. It is also reflected in the FCA’s business plan.

The article reviews the technology and the advantages and disadvantages of combining the technology with regulatory law. It then informs the discussion from a broader public law perspective. It analyses regulatory technology through criteria developed in the mainstream regulatory discourse. It contributes to that discourse by anticipating problems that will arise as the technology evolves. In addition, the hope is to assist the government in avoiding mistakes that have occurred in the past and creating a better system from the start…(More)”.

Goldie Blumenstyk at The Chronicle of Higher Education: “…The next step in using “big data” for student success is upon us. It’s a little cool. And also kind of creepy.

This new approach goes beyond the tactics now used by hundreds of colleges, which depend on data collected from sources like classroom teaching platforms and student-information systems. It not only makes a technological leap; it also raises issues around ethics and privacy.

Here’s how it works: Whenever you log on to a wireless network with your cellphone or computer, you leave a digital footprint. Move from one building to another while staying on the same network, and that network knows how long you stayed and where you went. That data is collected continuously and automatically from the network’s various nodes.

Now, with the help of a company called Degree Analytics, a few colleges are beginning to use location data collected from students’ cellphones and laptops as they move around campus. Some colleges are using it to improve the kind of advice they might send to students, like a text-message reminder to go to class if they’ve been absent.

Others see it as a tool for making decisions on how to use their facilities. St. Edward’s University, in Austin, Tex., used the data to better understand how students were using its computer-equipped spaces. It found that a renovated lounge, with relatively few computers but with Wi-Fi access and several comfy couches, was one of the most popular such sites on campus. Now the university knows it may not need to buy as many computers as it once thought.

As Gary Garofalo, a co-founder and chief revenue officer of Degree Analytics, told me, “the network data has very intriguing advantages” over the forms of data that colleges now collect.

Some of those advantages are obvious: If you’ve got automatic information on every person walking around with a cellphone, your dataset is more complete than if you need to extract it from a learning-management system or from the swipe-card readers some colleges use to track students’ activities. Many colleges now collect such data to determine students’ engagement with their coursework and campus activities.

Of course, the 24-7 reporting of the data is also what makes this approach seem kind of creepy….

I’m not the first to ask questions like this. A couple of years ago, a group of educators organized by Martin Kurzweil of Ithaka S+R and Mitchell Stevens of Stanford University issued a series of guidelines for colleges and companies to consider as they began to embrace data analytics. Among other principles, the guidelines highlighted the importance of being transparent about how the information is used, and ensuring that institutions’ leaders really understand what companies are doing with the data they collect. Experts at New America weighed in too.

I asked Kurzweil what he makes of the use of Wi-Fi information. Location tracking tends toward the “dicey” side of the spectrum, he says, though perhaps not as far out as using students’ social-media habits, health information, or what they check out from the library. The fundamental question, he says, is “how are they managing it?”… So is this the future? Benz, at least, certainly hopes so. Inspired by the Wi-Fi-based StudentLife research project at Dartmouth College and the experiences Purdue University is having with students’ use of its Forecast app, he’s in talks now with a research university about a project that would generate other insights that might be gleaned from students’ Wi-Fi-usage patterns….(More)

Paper by Sergei M. Guriev and Daniel Treisman: “In recent decades, dictatorships based on mass repression have largely given way to a new model based on the manipulation of information. Instead of terrorizing citizens into submission, “informational autocrats” artificially boost their popularity by convincing the public they are competent.

To do so, they use propaganda and silence informed members of the elite by co-optation or censorship.

Using several sources – including a newly created dataset of authoritarian control techniques – we document a range of trends in recent autocracies that fit the theory: a decline in violence, efforts to conceal state repression, rejection of official ideologies, imitation of democracy, a perceptions gap between masses and elite, and the adoption by leaders of a rhetoric of performance rather than one aimed at inspiring fear….(More)”

Chris Willsher at ODX: “Studies have shown that a large majority of Canadians spend too much time in sedentary activities. According to the Health Status of Canadians report in 2016, only 2 out of 10 Canadian adults met the Canadian Physical Activity Guidelines. Increasing physical activity and healthy lifestyle behaviours can reduce the risk of chronic illnesses, which can decrease pressures on our health care system. And data can play a role in improving public health.

We are already seeing examples of a push to augment the role of data, with programs recently being launched at home and abroad. Canada and the US established an initiative in the spring of 2017 called the Healthy Behaviour Data Challenge. The goal of the initiative is to open up new methods for generating and using data to monitor health, specifically in the areas of physical activity, sleep, sedentary behaviour, or nutrition. The challenge recently wrapped up with winners being announced in late April 2018. Programs such as this provide incentive to the private sector to explore data’s role in measuring healthy lifestyles and raise awareness of the importance of finding new solutions.

In the UK, Sport England and the Open Data Institute (ODI) have collaborated to create the OpenActive initiative. It has set out to encourage both government and private sector entities to unlock data around physical activities so that others can utilize this information to ease the process of engaging in an active lifestyle. The goal is to “make it as easy to find and book a badminton court as it is to book a hotel room.” As of last fall, OpenActive counted more than 76,000 activities across 1,000 locations from their partner organizations. They have also developed a standard for activity data to ensure consistency among data sources, which eases the ability for developers to work with the data. Again, this initiative serves as a mechanism for open data to help address public health issues.

In Canada, we are seeing more open datasets that could be utilized to devise new solutions for generating higher rates of physical activity. A lot of useful information is available at the municipal level that can provide specifics around local infrastructure. Plus, there is data at the provincial and federal level that can provide higher-level insights useful to developing methods for promoting healthier lifestyles.

Information about cycling infrastructure seems to be relatively widespread among municipalities with a robust open data platform. As an example, the City of Toronto, publishes map data of bicycle routes around the city. This information could be utilized in a way to help citizens find the best bike route between two points. In addition, the city also publishes data on indoor, outdoor, and post and ring bicycle parking facilities that can identify where to securely lock your bike. Exploring data from proprietary sources, such as Strava, could further enhance an application by layering on popular cycling routes or allow users to integrate their personal information. And algorithms could allow for the inclusion of data on comparable driving times, projected health benefits, or savings on automotive maintenance.

The City of Calgary publishes data on park sports surfaces and recreation facilities that could potentially be incorporated into sports league applications. This would make it easier to display locations for upcoming games or to arrange pick-up games. Knowing where there are fields nearby that may be available for a last minute soccer game could be useful in encouraging use of the facilities and generating more physical activity. Again, other data sources, such as weather, could be integrated with this information to provide a planning tool for organizing these activities….(More)”.

FeedbackLabs: “A 72% increase in students ceasing to abuse drugs. A 57 percentage point jump in vaccination rates. Fourteen percent higher odds of adults quitting smoking. The improvements in outcomes that people can achieve for themselves when armed with information can be striking.

Yet the above examples and many more show that information alone rarely empowers people to make their lives better. Information empowers when social and emotional factors induce people to reinterpret that information, and act on it. In this report, we draw on 44 real-life examples and 168 research papers from 10 fields to develop 7 general principles that seem to underlie information initiatives that successfully empower people. Principles 1, 2, and 3 speak to how information empowers through reinterpretation, and Principles 4 to 7 speak to how we can support that reinterpretation—and get people to act. Based on the 7 principles, we then provide a checklist of questions a team can use to increase the likelihood that their initiative will empower the people they seek to serve.

Throughout, we provide concrete illustrations from a wide range of fields to show how applying these principles in practice has led to substantially better outcomes. We also consider examples with outcomes we might consider to be negative. The 7 principles are broadly applicable to how information empowers people to perceive, make and act on choices—but they are agnostic about whether the outcomes of those choices are positive or negative.

The way that the principles are applied in one context may not always work in another. But from the context-specific evidence summarized in this report we have extrapolated a framework that can be applied more broadly—in both theory and practice, for both funders and implementers. Although many of the in-depth case studies presented stem from the US, the principles are based on a wide range of examples and evidence from around the world. We believe the framework we construct here is powerful and can be applied globally; but it’s also clear that much more remains to be understood, so we hope it also sparks ideas, experimentation, and new discoveries….(More)”.

Paper by Xuan Zhang et al: “Health care fraud is a serious problem that impacts every patient and consumer. This fraudulent behavior causes excessive financial losses every year and causes significant patient harm. Healthcare fraud includes health insurance fraud, fraudulent billing of insurers for services not provided, and exaggeration of medical services, etc. To identify healthcare fraud thus becomes an urgent task to avoid the abuse and waste of public funds. Existing methods in this research field usually use classified data from governments, which greatly compromises the generalizability and scope of application. This paper introduces a methodology to use publicly available data sources to identify potentially fraudulent behavior among physicians. The research involved data pairing of multiple datasets, selection of useful features, comparisons of classification models, and analysis of useful predictors. Our performance evaluation results clearly demonstrate the efficacy of the proposed method….(More)”.