The Concept of Function Creep

Curated on Posted on by Stefaan Verhulst

Paper by Bert-Jaap Koops: “Function creep – the expansion of a system or technology beyond its original purposes – is a well-known phenomenon in STS, technology regulation, and surveillance studies. Correction: it is a well-referenced phenomenon. Yearly, hundreds of publications use the term to criticise developments in technology regulation and data governance. But why function creep is problematic, and why authors call system expansion ‘function creep’ rather than ‘innovation’, is underresearched. If the core problem is unknown, we can hardly identify suitable responses; therefore, we first need to understand what the concept actually refers to.

Surprisingly, no-one has ever written a paper about the concept itself. This paper fills that gap in the literature, by analysing and defining ‘function creep’. This creates conceptual clarity that can help structure future debates and address function creep concerns. First, I analyse what ‘function creep’ refers to, through semiotic analysis of the term and its role in discourse. Second, I discuss concepts that share family resemblances, including other ‘creep’ concepts and many theoretical notions from STS, economics, sociology, public policy, law, and discourse theory. Function creep can be situated in the nexus of reverse adaptation and self-augmentation of technology, incrementalism and disruption in policy and innovation, policy spillovers, ratchet effects, transformative use, and slippery slope argumentation.

Based on this, function creep can be defined as *an imperceptibly transformative and therewith contestable change in a data-processing system’s proper activity*. What distinguishes function creep from innovation is that it denotes some qualitative change in functionality that causes concern not only because of the change itself, but also because the change is insufficiently acknowledged as transformative and therefore requiring discussion. Argumentation theory illuminates how the pejorative ‘function creep’ functions in debates: it makes visible that what looks like linear change is actually non-linear, and simultaneously calls for much-needed debate about this qualitative change…(More)”.

Birth of Intelligence: From RNA to Artificial Intelligence

Curated on Posted on by Stefaan Verhulst

Book by Daeyeol Lee: “What is intelligence? How did it begin and evolve to human intelligence? Does a high level of biological intelligence require a complex brain? Can man-made machines be truly intelligent? Is AI fundamentally different from human intelligence? In Birth of Intelligence, distinguished neuroscientist Daeyeol Lee tackles these pressing fundamental issues. To better prepare for future society and its technology, including how the use of AI will impact our lives, it is essential to understand the biological root and limits of human intelligence. After systematically reviewing biological and computational underpinnings of decision making and intelligent behaviors, Birth of Intelligence proposes that true intelligence requires life…(More)”.

The potential of Data Collaboratives for COVID19

Curated on Posted on by Stefaan Verhulst

Blog post by Stefaan Verhulst: “We live in almost unimaginable times. The spread of COVID-19 is a human tragedy and global crisis that will impact our communities for many years to come. The social and economic costs are huge and mounting, and they are already contributing to a global slowdown. Every day, the emerging pandemic reveals new vulnerabilities in various aspects of our economic, political and social lives. These include our vastly overstretched public health services, our dysfunctional political climate, and our fragile global supply chains and financial markets.

The unfolding crisis is also making shortcomings clear in another area: the way we re-use data responsibly. Although this aspect of the crisis has been less remarked upon than other, more obvious failures, those who work with data—and who have seen its potential to impact the public good—understand that we have failed to create the necessary governance and institutional structures that would allow us to harness data responsibly to halt or at least limit this pandemic. A recent article in Stat, an online journal dedicated to health news, characterized the COVID-19 outbreak as “a once-in-a-century evidence fiasco.” The article continues: 

“At a time when everyone needs better information, […] we lack reliable evidence on how many people have been infected with SARS-CoV-2 or who continue to become infected. Better information is needed to guide decisions and actions of monumental significance and to monitor their impact.” 

It doesn’t have to be this way, and these data challenges are not an excuse for inaction. As we explain in what follows, there is ample evidence that the re-use of data can help mitigate health pandemics. A robust (if somewhat unsystematized) body of knowledge could direct policymakers and others in their efforts. In the second part of this article, we outline eight steps that key stakeholders can and should take to better re-use data in the fight against COVID-19. In particular, we argue that more responsible data stewardship and increased use of data collaboratives are critical….(More)”. 

Mobile phone data and COVID-19: Missing an opportunity?

Curated on Posted on by Stefaan Verhulst

Paper by Nuria Oliver, et al: “This paper describes how mobile phone data can guide government and public health authorities in determining the best course of action to control the COVID-19 pandemic and in assessing the effectiveness of control measures such as physical distancing. It identifies key gaps and reasons why this kind of data is only scarcely used, although their value in similar epidemics has proven in a number of use cases. It presents ways to overcome these gaps and key recommendations for urgent action, most notably the establishment of mixed expert groups on national and regional level, and the inclusion and support of governments and public authorities early on. It is authored by a group of experienced data scientists, epidemiologists, demographers and representatives of mobile network operators who jointly put their work at the service of the global effort to combat the COVID-19 pandemic….(More)”.

Urgently Needed for Policy Guidance: An Operational Tool for Monitoring the COVID-19 Pandemic

Curated on Posted on by Stefaan Verhulst

Paper by Stephane Luchini et al:” The radical uncertainty around the current COVID19 pandemics requires that governments around the world should be able to track in real time not only how the virus spreads but, most importantly, what policies are effective in keeping the spread of the disease under check. To improve the quality of health decision-making, we argue that it is necessary to monitor and compare acceleration/deceleration of confirmed cases over health policy responses, across countries. To do so, we provide a simple mathematical tool to estimate the convexity/concavity of trends in epidemiological surveillance data. Had it been applied at the onset of the crisis, it would have offered more opportunities to measure the impact of the policies undertaken in different Asian countries, and to allow European and North-American governments to draw quicker lessons from these Asian experiences when making policy decisions. Our tool can be especially useful as the epidemic is currently extending to lower-income African and South American countries, some of which have weaker health systems….(More)”.

Coronavirus Innovation Map

Curated on Posted on by Stefaan Verhulst

“The Coronavirus Innovation Map is a platform of hundreds of innovations and solutions from around the world that help people cope and adapt to life amid the coronavirus pandemic, and to connect innovators.

The CoronaVirus Innovation Map is a visualized global database that is mapping the innovations related to tackling coronavirus in various fields such as diagnostics, treatment, lifestyle changes, etc., on a geographical scale….

Our goal with the Coronavirus Innovation Map is to build a crowdsourced resource that maps hundreds of innovations and solutions globally that help people cope and adapt to life amid the coronavirus, and to connect innovators.

This platform is a database for innovators to know who the other players are and where the projects or startups are located allowing them to connect and create solutions in this field. Policymakers will also be able to efficiently look for viable solutions in one place.

You may use the map to browse initiatives in specific locations (type a city or country in the search box), or choose a category wherein you would like to find a solution….(More)”

Doctors Turn to Social Media to Develop Covid-19 Treatments in Real Time

Curated on Posted on by Stefaan Verhulst

Michael Smith and Michelle Fay Cortez at Bloomberg: “There is a classic process for treating respiratory problems: First, give the patient an oxygen mask, or slide a small tube into the nose to provide an extra jolt of oxygen. If that’s not enough, use a “Bi-Pap” machine, which pushes air into the lungs more forcefully. If that fails, move to a ventilator, which takes over the patient’s breathing.

But these procedures tend to fail With Covid-19 patients. Physicians found that by the time they reached that last step, it was often too late; the patient was already dying.

In past pandemics like the 2003 global SARS outbreak, doctors sought answers to such mysteries from colleagues in hospital lounges or maybe penned articles for medical journals. It could take weeks or months for news of a breakthrough to reach the broader community.

For Covid-19, a kind of medical hive mind is on the case. By the tens of thousands, doctors are joining specialized social media groups to develop answers in real time. One of them, a Facebook group called the PMG COVID19 Subgroup, has 30,000 members worldwide….

Doctors are trying to fill an information void online. Sabry, an emergency-room doctor in two hospitals outside Los Angeles, found that the 70,000-strong, Physician Moms Group she started five years ago on Facebook was so overwhelmed by coronavirus threads that she created the Covid-19 offshoot. So many doctors tried to join the new subgroup that Facebook’s click-to-join code broke. Some 10,000 doctors waited in line as the social media company’s engineers devised a fix.

She’s not alone. The topic also consumed two Facebook groups started by Dr. Nisha Mehta, a 38-year-old radiologist from Charlotte, North Carolina. The 54,000-member Physician Side Gigs, intended for business discussions, and an 11,000-person group called Physician Community for more general topics, are also all coronavirus, all the time, with thousands waiting to join…(More)”.

Human migration: the big data perspective

Curated on Posted on by Stefaan Verhulst

Alina Sîrbu et al at the International Journal of Data Science and Analytics: “How can big data help to understand the migration phenomenon? In this paper, we try to answer this question through an analysis of various phases of migration, comparing traditional and novel data sources and models at each phase. We concentrate on three phases of migration, at each phase describing the state of the art and recent developments and ideas. The first phase includes the journey, and we study migration flows and stocks, providing examples where big data can have an impact. The second phase discusses the stay, i.e. migrant integration in the destination country. We explore various data sets and models that can be used to quantify and understand migrant integration, with the final aim of providing the basis for the construction of a novel multi-level integration index. The last phase is related to the effects of migration on the source countries and the return of migrants….(More)”.

COVID-19 is creating a democratic deficit – here’s how to reduce it

Curated on Posted on by Stefaan Verhulst

Article by Matt Ryan: “As parliaments around the country move to scale down operations and defer sittings as part of containing COVID-19 people are beginning to ring the accountability alarm bells….

The good news is that we can learn from those parliaments and politicians around the world who have already been trialling new ways of working that go beyond traditional sittings. Leveraging simple and widely available technologies, they are involving more people with more diverse backgrounds in their processes with less reliance on those people being physically present.

Select Committees in the UK Parliament, for example, have used online “evidence checks” to scrutinise the basis for policy. These one-month exercises use targeted outreach and social media strategies to invite comments from knowledgeable stakeholders and members of the public about the rigour of evidence on which a government department’s policy is based. Evidence for departmental policy is summarised in a two-page document and comments publicly displayed in a web forum that resembles a readers’ comments section in an online news article.

In Taiwan, a participatory governance process pioneered by civic rights activists at the behest of a government minister combines large-scale online participation with smaller in-person gatherings to build a “rough consensus” on legislative proposals related to the digital economy before they are introduced. Known as vTaiwan, the process has led to 26 pieces of national legislation dealing with issues such as Uber, telemedicine and online alcohol sales, and has involved 200,000 people.

The government of Mexico City has raised the stakes even higher, involving more than 400,000 people in a process to draft a new constitution. It included a novel partnership between Change.org and the city mayor that enabled residents to create petition-backed proposals which, once they reached a certain threshold of support, bound the mayor to include them in the draft he submitted to a special constitutional assembly.

Processes like these can also offer relief for politicians and parliamentary officials managing the strain of examining an ever-increasing number of issues of greater complexity with limited personnel and budget. Evidence checks provide access to a wider pool of experts who can bolster existing research capacity. vTaiwan helps to find workable ways forward in industries being rapidly transformed by digital technologies. By “crowdsourcing” the city’s constitution, Mexico City’s mayor retained the trust of residents while undertaking reform at a grand scale….(More)”.

Why we need responsible data for children

Curated on Posted on by Stefaan Verhulst

Andrew Young and Stefaan Verhulst at The Conversation: “…Without question, the increased use of data poses unique risks for and responsibilities to children. While practitioners may have well-intended purposes to leverage data for and about children, the data systems used are often designed with (consenting) adults in mind without a focus on the unique needs and vulnerabilities of children. This can lead to the collection of inaccurate and unreliable data as well as the inappropriate and potentially harmful use of data for and about children….

Research undertaken in the context of the RD4C initiative uncovered the following trends and realities. These issues make clear why we need a dedicated data responsibility approach for children.

  • Today’s children are the first generation growing up at a time of rapid datafication where almost all aspects of their lives, both on and off-line, are turned into data points. An entire generation of young people is being datafied – often starting even before birth. Every year the average child will have more data collected about them in their lifetime than would a similar child born any year prior. The potential uses of such large volumes of data and the impact on children’s lives are unpredictable, and could potentially be used against them.
  • Children typically do not have full agency to make decisions about their participation in programs or services which may generate and record personal data. Children may also lack the understanding to assess a decision’s purported risks and benefits. Privacy terms and conditions are often barely understood by educated adults, let alone children. As a result, there is a higher duty of care for children’s data.
  • Disaggregating data according to socio-demographic characteristics can improve service delivery and assist with policy development. However, it also creates risks for group privacy. Children can be identified, exposing them to possible harms. Disaggregated data for groups such as child-headed households and children experiencing gender-based violence can put vulnerable communities and children at risk. Data about children’s location itself can be risky, especially if they have some additional vulnerability that could expose them to harm.
  • Mishandling data can cause children to lose trust in institutions that deliver essential services including vaccines, medicine, and nutrition supplies. For organizations dealing with child well-being, these retreats can have severe consequences. Distrust can cause families and children to refuse health, education, child protection and other public services. Such privacy protective behavior can impact children throughout the course of their lifetime, and potentially exacerbate existing inequities and vulnerabilities.
  • As volumes of collected and stored data increase, obligations and protections traditionally put in place for children may be difficult or impossible to uphold. The interests of children are not always prioritized when organizations define their legitimate interest to access or share personal information of children. The immediate benefit of a service provided does not always justify the risk or harm that might be caused by it in the future. Data analysis may be undertaken by people who do not have expertise in the area of child rights, as opposed to traditional research where practitioners are specifically educated in child subject research. Similarly, service providers collecting children’s data are not always specially trained to handle it, as international standards recommend.
  • Recent events around the world reveal the promise and pitfalls of algorithmic decision-making. While it can expedite certain processes, algorithms and their inferences can possess biases that can have adverse effects on people, for example those seeking medical care and attempting to secure jobs. The danger posed by algorithmic bias is especially pronounced for children and other vulnerable populations. These groups often lack the awareness or resources necessary to respond to instances of bias or to rectify any misconceptions or inaccuracies in their data.
  • Many of the children served by child welfare organizations have suffered trauma. Whether physical, social, emotional in nature, repeatedly making children register for services or provide confidential personal information can amount to revictimization – re-exposing them to traumas or instigating unwarranted feelings of shame and guilt.

These trends and realities make clear the need for new approaches for maximizing the value of data to improve children’s lives, while mitigating the risks posed by our increasingly datafied society….(More)”.