Surprising Alternative Uses of IoT Data


Essay by Massimo Russo and Tian Feng: “With COVID-19, the press has been leaning on IoT data as leading indicators in a time of rapid change. The Wall Street Journal and New York Times have leveraged location data from companies like TomTom, INRIX, and Cuebiq to predict economic slowdown and lockdown effectiveness.¹ Increasingly we’re seeing use cases like these, of existing data being used for new purposes and to drive new insights.² Even before the crisis, IoT data was revealing surprising insights when used in novel ways. In 2018, fitness app Strava’s exercise “heatmap” shockingly revealed locations, internal maps, and patrol routes of US military bases abroad.³

The idea of alternative data is also trending in the financial sector. Defined in finance as data from non-traditional data sources such as satellites and sensors, financial alternative data has grown from a niche tool used by select hedge funds to an investment input for large institutional investors.⁴ The sector is forecasted to grow seven-fold from 2016 to 2020, with spending nearing $2 billion.⁵ And it’s easy to see why: alternative data linked to IoT sources are able to give investors a real time, scalable view into how businesses and markets are performing.

This phenomenon of repurposing IoT data collected for one purpose for use for another purpose will extend beyond crisis or financial applications and will be focus of this article. For the purpose of our discussion, we’ll define intended data use as ones that deliver the value directly associated with the IoT application. On the other hand, alternative data use as ones linked to insights and application using the data outside of the intent of the initial IoT application.⁶ Alternative data use is important because it is incremental value outside of the original application.

Why should we think about this today? Increasingly CTOs are pursuing IoT projects with a fixed application in mind. Whereas early in IoT maturity, companies were eager to pilot the technology, now the focus has rightly shifted to IoT use cases with tangible ROI. In this environment, how should companies think about external data sharing when potential use cases are distant, unknown, or not yet existent? How can companies balance the abstract value of future use cases with the tangible risk of data misuse?…(More)”.

The Obsolescence of Interfaces


Essay by Carlos A. Scolari: “COVID-19 has highlighted the need to redesign current interfaces to tackle an increasingly complex and uncertain world….

Whenever somebody says the word interface one immediately thinks of a keyboard, a mouse or a joystick, and an infinite number of icons on a screen… This interface – also called a graphical user interface – is a place for interaction, the frontier space where the analogical (double-clicking the mouse) becomes digital (a file, made up of bits, opens). But the graphical user interface is not limited to that exchange between individual and technology: that relationship is mediated by an “interaction grammar” that, in order that things function, must be shared between designer and user.

This idea – the interface understood as a network of actors that are human (user, designer, etc.), technological (mouse, keyboard, screen, apps, Internet, etc.) and institutional (interaction grammar, businesses, laws, etc.) – can be taken far beyond the classical image of the individual against the digital machine. If we scale the concept, we can consider the school as an interface where actors that are human (teachers, students, governors, families, etc.), technological (blackboards, benches, books, pencils, projectors, tablets, etc.) and institutional (school management, PTA, Department of Education, Ministry, etc.) maintain different types of relationships with each other and carry forward a series of processes.

Educational interfaces

For years there has been talk of a “crisis in the school system” and of “educational innovation”. Rivers of ink and seas of bits have issued forth on this question in recent years. Back in 2007, in an article published in La Vanguardia, Manuel Castells warned: “The idea that young people today should bear the burden of a rucksack full of boring textbooks, defined by ministerial bureaucrats, and should be locked up in a classroom to endure a discourse irrelevant to their perspective, and should put up with all this in the name of the future, is simply absurd”. For some, the solution simply involves incorporating “educational technology” into the classroom and training the teachers. However, for others, we believe that the issue is much more complex and that it demands another type of focus. Perhaps a view from the perspective of interfaces might be useful for us….

Many other interfaces that were already showing their limitations from a couple of decades ago, such as political interfaces (parties) or social interfaces (trade unions), must pass through processes of redesign if we want them to continue fulfilling their representative roles. COVID-19 has added hospitals and healthcare centres to this list: during the worst weeks of the pandemic, these interfaces had to be redesigned in real time in order to tackle the boom in the number of patients entering their emergency departments.

Another interface that will not escape redesign is the city. Urban interfaces will have to be rethought in all their dimensions, from the relationship between the public and the private space to the spaces for the flow and permanence of pedestrians while maintaining a “safe social distance”. Even highly innovative spaces on an urban level, such as the “super-blocks” of Barcelona or the new co-working rooms at the UPF, are not prepared for the post-pandemic world and will have to be redesigned.

Nearly all the interfaces that have been mentioned (compulsory state schools, political parties, trade unions, hospitals) were created during Modernity to cater for the needs of a type of industrial mass society that is in the process of disappearing. COVID-19 has done nothing if not slit open all of these interfaces and evidence their incapacity to tackle an increasingly complex and uncertain world….(More)”.

COVID-19 from the Margins: What We Have Learned So Far


Blog by Silvia Masiero, Stefania Milan and Emiliano Treré: “Since the World Health Organisation declared the outbreak of COVID-19 a pandemic on 11 March 2020, narratives of the virus outbreak centred on counting and measuring have became dominant in public discourse. Enumerating and comparing cases and locations, victims or the progressive occupancy of intensive care units, policymakers and experts alike have turned data into the condition of existence of the first pandemic of the datafied society. However, many communities at the margins—from workers in the informal economy to low-income countries to victims of domestic violence—were left in the dark.

This is why our attention of researchers of datafication across the many Souths inhabiting the globe turned into the untold stories of the pandemic. We decided to make space for narratives from those individuals, communities, countries and regions that have thus far remained at the margins of global news reports and relief efforts. The multilingual blog COVID-19 from the Margins, launched on 4 May 2020, hosts stories of invisibility, including from migrants and communities living in countries and regions with limited statistical capacity or in cities and slums where pre-existing inequality and vulnerability have been augmented by the pandemic. In entering the third month of this initiative, a reflection on the main threads emerged from the 28 articles published so far is in order to devise our look to the future. In what follows, we identify four threads that have informed discussions on this blog so far, namely data visualisation, perpetuated vulnerabilities and inequalities, datafied social policies, and digital activism at the time of the pandemic…(More)”.

It’s complicated: what the public thinks about COVID-19 technologies


Imogen Parker at Ada Lovelace Institute: “…Tools of this societal importance need to be shaped by the public. Given the technicality and complexity, that means going beyond surface-level opinions captured through polling and focus groups and creating structures to deliberate with groups of informed citizens. That’s hard to do well, and at the pace needed to keep up with policy and technology, but difficult problems are the ones that most need to be solved.

To help bring much-needed public voices into this debate at pace, we have drawn out emergent themes from three recent in-depth public deliberation projects, that can bring insight to bear on the questions of health apps and public health identity systems.

While there are no green lights, red lines – or indeed silver bullets – there are important nuances and strongly held views about the conditions that COVID-19 technologies would need to meet. The report goes into detailed lessons from the public, and I would like to add to those by drawing out here aspects that are consistently under-addressed in discussions I’ve heard about these tools in technology and policy circles.

  1. Trust isn’t just about data or privacy. The technology must be effective – and be seen to be effective. Too often, debates about public acceptability lapse into flawed and tired arguments about privacy vs public health; or citizens’ trust in a technology being confused with reassurances about data protection or security frameworks against malicious actors. First and foremost people need to trust the technology works – they need to trust that it can solve a problem, that it won’t fail, and it can be relied on. The public discussion must be about the outcome of the technology – not just its function. This is particularly vital in the context of public health, which affects everyone in society.
  2. Any application linked to identity is seen as high-stakes. Identity matters and is complex – and there is anxiety about the creation of technological systems that put people in pre-defined boxes or establishes static categories as the primary mechanisms by which they are known, recognised and seen. Proportionality (while not expressed as such) runs deep in public consciousness and any intrusion will require justification, not simply a rallying call for people to do their duty.
  3. Tools must proactively protect against harm. Mechanisms for challenge or redress need to be built around the app – and indeed be seen as part of the technology. This means that legitimate fears that discrimination or prejudice will arise must be addressed head on, and lower uptake from potentially disadvantaged groups that may legitimately mistrust surveillance systems must be acknowledged and mitigated.
  4. Apps will be judged as part of the system they are embedded into. The whole system must be trustworthy, not just the app or technology – and that encompasses those who develop and deploy it and those who will use it out in the world. An app – however technically perfect – can still be misused by rogue employers, or mistrusted through fear of government overreach or scope creep.
  5. Tools are seen by the public as political and social. Technology developers need to understand that they are shifting the social-political fabric of society during a crisis, and potentially beyond. Tech cannot be decoupled or isolated from questions of the nature of the society it will shape – solidaristic or individualistic; divisive or inclusive….(More)”.

Blockchain for the public good


Blog by Camille Crittenden: “Over the last year, I have had the privilege to lead the California Blockchain Working Group, which delivered its report to the Legislature in early July. Established by AB 2658, the 20-member Working Group comprised experts with backgrounds in computer science, cybersecurity, information technology, law, and policy. We were charged with drafting a working definition of blockchain, providing advice to State offices and agencies considering implementation of blockchain platforms, and offering guidance to policymakers to foster an open and equitable regulatory environment for the technology in California.

What did we learn? Enough to make a few outright recommendations as well as identify areas where further research is warranted.

A few guiding principles: Refine the application of blockchain systems first on things, not people. This could mean implementations of blockchain for tracing food from farms to stores to reduce the economic and human harm of food-borne illnesses; reducing paperwork and increasing reliability of tracing vehicles and parts from manufacturing floor to consumer to future owners or dismantlers; improving workflows for digitizing, cataloging and storing the reams of documents held in the State Archives.

Similarly, blockchain solutions could be implemented for public vital records, such as birth, death and marriage certificates or real estate titles without risk of compromising private information. Greater caution should be taken in applications that affect public service delivery to populations in precarious circumstances, such as the homeless or unemployed. Overarching problems to address, especially for sensitive records, include the need for reliable, persistent digital identification and the evolving requirements for cybersecurity….

The Working Group’s final report, Blockchain in California: A Roadmap, avoids the magical thinking or technological solutionism that sometimes attends shiny new tech ideas. Blockchain won’t cure Covid-19, fix systemic racism, or reverse alarming unemployment trends. But if implemented conscientiously on a case-by-case basis, it could make a dent in improving health outcomes, increasing autonomy for property owners and consumers, and alleviating some bureaucratic practices that may be a drag on the economy. And those are contributions we can all welcome….(More)”.

Medical data has a silo problem. These models could help fix it.


Scott Khan at the WEF: “Every day, more and more data about our health is generated. Data, which if analyzed, could hold the key to unlocking cures for rare diseases, help us manage our health risk factors and provide evidence for public policy decisions. However, due to the highly sensitive nature of health data, much is out of reach to researchers, halting discovery and innovation. The problem is amplified further in the international context when governments naturally want to protect their citizens’ privacy and therefore restrict the movement of health data across international borders. To address this challenge, governments will need to pursue a special approach to policymaking that acknowledges new technology capabilities.

Understanding data siloes

Data becomes siloed for a range of well-considered reasons ranging from restrictions on terms-of-use (e.g., commercial, non-commercial, disease-specific, etc), regulations imposed by governments (e.g., Safe Harbor, privacy, etc.), and an inability to obtain informed consent from historically marginalized populations.

Siloed data, however, also creates a range of problems for researchers looking to make that data useful to the general population. Siloes, for example, block researchers from accessing the most up-to-date information or the most diverse, comprehensive datasets. They can slow the development of new treatments and therefore, curtail key findings that can lead to much needed treatments or cures.

Even when these challenges are overcome, the incidences of data mis-use – where health data is used to explore non-health related topics or without an individual’s consent – continue to erode public trust in the same research institutions that are dependent on such data to advance medical knowledge.

Solving this problem through technology

Technology designed to better protect and decentralize data is being developed to address many of these challenges. Techniques such as homomorphic encryption (a cryptosystem that encrypts data with a public key) and differential privacy (a system leveraging information about a group without revealing details about individuals) both provide means to protect and centralize data while distributing the control of its use to the parties that steward the respective data sets.

Federated data leverages a special type of distributed database management system that can provide an alternative approach to centralizing encoded data without moving the data sets across jurisdictions or between institutions. Such an approach can help connect data sources while accounting for privacy. To further forge trust in the system, a federated model can be implemented to return encoded data to prevent unauthorized distribution of data and learnings as a result of the research activity.

To be sure, within every discussion of the analysis of aggregated data lies challenges with data fusion between data sets, between different studies, between data silos, between institutions. Despite there being several data standards that could be used, most data exist within bespoke data models built for a single purpose rather than for the facilitation of data sharing and data fusion. Furthermore, even when data has been captured into a standardized data model (e.g., the Global Alliance for Genomics and Health offers some models for standardizing sensitive health data), many data sets are still narrowly defined. They often lack any shared identifiers to combine data from different sources into a coherent aggregate data source useful for research. Within a model of data centralization, data fusion can be addressed through data curation of each data set, whereas within a federated model, data fusion is much more vexing….(More)“.

Social-Change Games Can Help Us Understand the Public Health Choices We Face


Blog by the Hastings Institute: “Before there was the Covid-19 pandemic, there was Pandemic. This tabletop game, in which players collaborate to fight disease outbreaks, debuted in 2007. Expansions feature weaponized pathogens, historic pandemics, zoonotic diseases, and vaccine development races. Game mechanics modelled on pandemic vectors provide multiple narratives: battle, quest, detection, discovery. There is satisfaction in playing “against” disease–and winning.

Societies globally are responding to Covid-19 under differing political and economic conditions. In the United States, these conditions include mass unemployment and entrenched social inequalities that drive health disparities by race, class, and neighborhood. Real pandemic is not as tidy as a game. But can games, and the immense appetite for them, support understanding about the societal challenges we now face? Yes.

A well-designed game is structured as a flow chart or a decision tree. Games simulate challenges, require choices, and allow players to see the consequences of their decisions. Visual and narrative elements enhance these vicarious experiences. Game narratives can engage human capacities such as empathy, helping us to imagine the perspectives of people unlike ourselves. In The Waiting Game (2018), an award-winning digital single-player game designed by news outlets ProPublica and WNYC and game design firm Playmatics, the player starts by choosing one of five characters representing asylum seekers. The player is immersed in a day-by-day depiction of their character’s journey and experiences. Each “day,” the player must make a choice: give up or keep going?

Games can also engage the moral imagination by prompting players to reflect on competing values and implicit biases. In the single-player game Parable of the Polygons (2014), a player moves emoji-like symbols into groups. This quick game visualizes how decisions aimed at making members of a community happier can undermine a shared commitment to diversity when happiness relies on living near people “like me.” It is free-to-play on the website of Games for Change (G4C), a nonprofit organization that promotes the development and use of games to imagine and respond to real-world problems.

Also in the G4C arcade is Cards Against Calamity (2018), which focuses on local governance in a coastal town. This game, developed by 1st Playable Productions and the Environmental Law Institute, aims to help local policymakers foresee community planning challenges in balancing environmental protections and economic interests. Plague Inc. (2012) flips the Pandemic script by having players assume the pathogen role, winning by spreading. This game has been used as a teaching tool and has surged in popularity during disease outbreak: in January 2020, its designers issued a statement reminding players that Plague Inc. should not be used for pandemic modeling….(More)”.

What’s next for nudging and choice architecture?


Richard Thaler at a Special Edition of Organizational Behavior and Human Decision Processes: “I have long considered all my co-editors of this special issue to be good friends. That is, until they asked me to write an editorial on the topic of “what is next?” When a bunch of experts in judgment and decision-making ask you to do something they know to be impossible, you should be suspicious, right? Do they think I don’t know that predicting the future of science is impossible?

They slyly assigned Katy Milkman the job of luring me into agreeing. The first request came via email with what had to be a deliberately impenetrable subject heading: “Ask for OBHDP Special Issue You’re Co-Editing: 13 Paragraphs on the Future of Nudge.” The other three co-editors were copied, the message was long and complicated, and, to top it off, the first word of the subject was “Ask.” Katy surely knew there was no chance I would read that email, which of course was part of her cunning strategy. She figured that when she sent the inevitable follow-up email I would feel guilty about not responding to the first one. Guilt is a powerful nudge.

The expected second email came three days later, this time with a catchier one-word subject line: “Noodge.” (Have I mentioned that these emails arrived in the early days of the COVID-19 lockdown?) This new email began by acknowledging that the first one had been too long and poorly timed, lulling me into a false sense of security that I was being excused and off the hook. But then, Katy launched the heavy artillery. She framed her request in a way that made my acceptance the default option: “Hope you’re up for writing 1–3 paragraphs, but let me know if not and we’ll manage. :)” We all know that defaults are powerful, but did she really think this was going to work on me? Although I was mildly miffed at the brazen noodging, I find it hard to say “no” to Katy, so I stuck to my usual strategy of lying low and ignored this email as well, foolishly hoping she would give up.

That hope was dashed a week later when the third email arrived with the subject line: “pretty please with sugar on top. :)” Plus, she pulled out another trick she had up her sleeve: a deadline! “The introduction is due in just a few days!” She was telling me that this assignment, which I had never agreed to do, was almost overdue. Of course, she also knew I was trapped in my home with very few excuses. Seeing no plausible escape route at this point, I capitulated and agreed to her request.

Conclusion: nudging works! Even on me.

Recall her request was that I write one to three paragraphs. This is already the sixth paragraph so by all rights I should already be done. Certainly, I will not be lured into making any forecasts. Phil Tetlock is her colleague! But since the word processor is already open, I will instead offer a few thoughts about my hopes and dreams for this enterprise.

My first hope is that the range of “nudges” expands. We know a lot about the effect of the kinds of strategies Katy used in her emails to me such as defaults, reminders, deadlines, guilt, salience, and norms. Come to think of it, I am surprised Katy didn’t try “90 percent of all recipients of my emails agree to do what I ask.” While I concede that these ploys often (though not always) work, it can’t be that they span the entire behavioral science repertoire. So I am hoping to see studies using a different set of behavioral insights. I am sure there are good ones out there….(More)”.

Responsible innovation requires new workways, and courage


Article by Jon Simonsson, Chair of the Committee for Technological Innovation and Ethics (Komet) in Sweden: “People have said that in the present – the fourth industrial revolution – everything is possible. The ingredients are there – 5G, IoT, AI, drones and self-driving vehicles – as well as advanced knowledge about diagnosis and medication – and they are all rapidly evolving. Only the innovator sets the limitations for how to mix and bake with Technologies.

And right now, when the threat of the corona virus has almost shock-digitized both business and the public sector, the interest in new technology solutions has skyrocketed. Working remotely, moving things without human presence, or – most important – virus vaccines and medical treatment methods, have all become self-evident areas for intensified research and experimentation. But the laws and regulations surrounding these areas were often created for a completely different setting.

Rules are good. And there are usually very good reasons why an area is regulated. Some rules are intended to safeguard democratic rights or individual rights to privacy, others to control developments in a certain direction. The rules are required. Especially at the present when not only development of technology but also the technology uptake in society is accelerating. It takes time to develop laws and regulations, and the process of doing so is not in pace with the rapid development of technology. This creates risks in society. For example, risks related to the individual’s right to privacy, the economy or the environment. At the same time, gaps in regulation may be revealed, gaps that could lead to introduction of new and perhaps not desired solutions.

Would it be possible to find a middle ground and a more future oriented way to work with regulation? With rules that are clear, future-proof and developed with legally safe methods, but encourages and facilitates ethical and sustainable innovation?

Responsible development and use of new technology

The Government wants Sweden to be a leader in the responsible development and use of new technologies. The Swedish Committee for Technological Innovation and Ethics (Komet) works with policy development to create good conditions for innovation and competitiveness, while ensuring that development and dissemination of new technology is safe and secure. The Committee helps the Swedish government to proactively address improvements technology could create for citizens, business and society, but also to highlight the conflicting goals that may arise.

This includes raising ethical issues related to the rapid technological development. When almost everything is possible, we need to place particularly high demands on the compass, how we responsibly navigate the technology landscape. Not least during the corona pandemic, when we have seen how ethical boundaries have been moved for the use of surveillance technology.

An important objective of the Komet work is to instil courage in the public sector. Although innovators are often private, at the end of the day, it is the public sector that must enable, be willing to and dare to meet the demands of both business and society. It is the public sector’s role to ensure that the proper regulations are on the table. A balanced and future-oriented regulation which will be required for rapidly creating a sustainable world….(More)”.

Good Bureaucracy: Max Weber on the 100th anniversary of his death


Blog by Wolfgang Drechsler: “Max Weber passed away a century ago today at the early age of 56, a late victim of the last pandemic — the Spanish Flu.

During the last 100 years, Weber’s position as one of the world’s great economists, sociologists, social science theorists, and public administration scholars has been secure, if with ups and downs.

One can think with or against Weber in the areas he covered, but by and large, not really without him. Weber is often associated with Weberian bureaucracy, i.e. hierarchical, career-organized, competence-based, rules- and files-based public administration of the now traditional type (when he conceived of it, this was public sector innovation).

However, Weber was a Weberian only to the extent that Luther was a Lutheran or Marx was a Marxist: somewhat, but certainly not totally so. In fact, Weber did not particularly like what we understand today as Weberian public administration, often used interchangeably with the term “bureaucracy.” He just thought it was the optimal administrative form, in the sense of rationalization, for the time and society he was analyzing (Germany at the turn of the 19th to the 20th century — both for the public and for the private sector, incidentally).

Nobody would have been more surprised than him that his framework is still the most used — and best — 100 years later. Indeed, it is often applied to systems for which it was never intended.

In fact, Weberian public administration in the wider sense has been, and is, much maligned; bureaucracy is an easy target, and whining about it is a steady feature of complex human societies which always need and automatically generate it. And Weberian public administration has its systemic faults — slowness, process-orientation, a slippery slope to authoritarian, mindless hierarchization and shirking. However, this bureaucracy is in its optimal form ethics-based, high-capacity, and motivation-driven. It is meant to be both responsible — to a state that is above and beyond particular interests — as well as responsive — to groups and citizens, but not at the cost of the commonweal.

However we decide to manage the transition to a CO2-neutral world — via Green Growth or Post-Growth — that process will have to be implemented by competent, motivated, and yes, Weberian civil servants.

But neoliberal ideology never believed that this kind of civil service was real, or pretended not to. So Weberian public administration became the bête noire of the New Public Management (NPM)….(More)”.