To Fix Tech, Democracy Needs to Grow Up


Article by Divya Siddarth: “There isn’t much we can agree on these days. But two sweeping statements that might garner broad support are “We need to fix technology” and “We need to fix democracy.”

There is growing recognition that rapid technology development is producing society-scale risks: state and private surveillance, widespread labor automation, ascending monopoly and oligopoly power, stagnant productivity growth, algorithmic discrimination, and the catastrophic risks posed by advances in fields like AI and biotechnology. Less often discussed, but in my view no less important, is the loss of potential advances that lack short-term or market-legible benefits. These include vaccine development for emerging diseases and open source platforms for basic digital affordances like identity and communication.

At the same time, as democracies falter in the face of complex global challenges, citizens (and increasingly, elected leaders) around the world are losing trust in democratic processes and are being swayed by autocratic alternatives. Nation-state democracies are, to varying degrees, beset by gridlock and hyper-partisanship, little accountability to the popular will, inefficiency, flagging state capacity, inability to keep up with emerging technologies, and corporate capture. While smaller-scale democratic experiments are growing, locally and globally, they remain far too fractured to handle consequential governance decisions at scale.

This puts us in a bind. Clearly, we could be doing a better job directing the development of technology towards collective human flourishing—this may be one of the greatest challenges of our time. If actually existing democracy is so riddled with flaws, it doesn’t seem up to the task. This is what rings hollow in many calls to “democratize technology”: Given the litany of complaints, why subject one seemingly broken system to governance by another?…(More)”.

Big, Open Data for Development: A Vision for India 


Paper by Sam Asher, Aditi Bhowmick, Alison Campion, Tobias Lunt and Paul Novosad: “The government generates terabytes of data directly and incidentally in the operation of public programs. For intrinsic and instrumental reasons, these data should be made open to the public. Intrinsically, a right to government data is implicit in the right to information. Instrumentally, open government data will improve policy, increase accountability, empower citizens, create new opportunities for private firms, and lead to development and economic growth. A series of case studies demonstrates these benefits in a range of other contexts. We next examine how government can maximize social benefit from government data. This entails opening administrative data as far upstream in the data pipeline as possible. Most administrative data can be minimally aggregated to protect privacy, while providing data with high geographic granularity. We assess the status quo of the Government of India’s data production and dissemination pipeline, and find that the greatest weakness lies in the last mile: making government data accessible to the public. This means more than posting it online; we describe a set of principles for lowering the access and use costs close to zero. Finally, we examine the use of government data to guide policy in the COVID-19 pandemic. Civil society played a key role in aggregating, disseminating, and analyzing government data, providing analysis that was essential to policy response. However, key pieces of data, like testing rates and seroprevalence distribution, were unnecessarily withheld by the government, data which could have substantially improved the policy response. A more open approach to government data would have saved many lives…(More)”.

Toward a Demand-Driven, Collaborative Data Agenda for Adolescent Mental Health


Paper by Stefaan Verhulst et al: “Existing datasets and research in the field of adolescent mental health do not always meet the needs of practitioners, policymakers, and program implementers, particularly in the context of vulnerable populations. Here, we introduce a collaborative, demand-driven methodology for the development of a strategic adolescent mental health research agenda. Ultimately, this agenda aims to guide future data sharing and collection efforts that meet the most pressing data needs of key stakeholders…

We conducted a rapid literature search to summarize common themes in adolescent mental health research into a “topic map”. We then hosted two virtual workshops with a range of international experts to discuss the topic map and identify shared priorities for future collaboration and research…

Our topic map identifies 10 major themes in adolescent mental health, organized into system-level, community-level, and individual-level categories. The engagement of cross-sectoral experts resulted in the validation of the mapping exercise, critical insights for refining the topic map, and a collaborative list of priorities for future research…

This innovative agile methodology enables a focused deliberation with diverse stakeholders and can serve as the starting point for data generation and collaboration practices, both in the field of adolescent mental health and other topics…(More)”.

Inside India’s plan to train 3.1 million 21st century civil servants


Article by Anirudh Dinesh and Beth Simone Noveck: “Prime Minister Modi established the Government of India’s Capacity Building Commission (CBC) on April 1, 2021 to reimagine how the state can deliver high-quality citizen services. According to the Commission’s chairman, Adil Zainulbhai and its secretary, Hemang Jani, the Commission will work with 93 central government departments and more than 800 training institutions across India to train over three million central government employees.

The competencies that civil servants are trained in should not be defined from the top down

By training employees, especially those who interact with citizens on a daily basis like those in the railways and postal departments, the hope is to impart new ways of working that translate into more effective and trustworthy government and better quality interactions with residents. The Commission has set itself two “north stars” or stretch goals to accomplish, namely to contribute to improving the “ease of living” for citizens and to advance Prime Minister Modi’s vision to make India a $5 trillion economy…

The Capacity Building Commission’s philosophy is that the competencies that civil servants are trained in should not be defined from the top down. Rather, the Commission wants each ministry to answer: What is the single most important thing we need to accomplish and then define the competencies they need to achieve that goal. …

An important first step in creating a capacity building programme is to understand what competencies already exist (or not) in the civil service. We asked both Zainulbhai and Jani about the CBC’s thinking about creating such a baseline of skills. The Commission’s approach, Jani explained to us, is to ask each ministry to look at its training needs from three “lenses:”

  1. Does the ministry have the capacity to deliver on “national priorities”? And are government employees aware of these national priorities?
  2. Does the ministry have the capacity necessary to deliver “citizen-centric” services?
  3. The “technology lens”: Do civil servants not only understand the challenges posed by technology but also appreciate new technologies and the solutions that could come from them?

The Commission also looks at capacity building on three levels:

  1. The individual level: What knowledge, skill and attitude an individual needs.
  2. The organisation level: What rules and procedures might be hindering service delivery.
  3. The institutional level: How to create an enabling environment for employees to upskill themselves resulting in better public services…(More)”

Architectures of Participation


Essay by Jay Lloyd and Annalee Saxenian: “Silicon Valley’s dynamism during the final three decades of the twentieth century highlighted the singular importance of social and professional networks to innovation. Since that time, contemporary and historical case studies have corroborated the link between networks and the pace of technological change. These studies have shown that networks of networks, or ecosystems, that are characterized by a mix of collaboration and competition, can accelerate learning and problem-solving.

However, these insights about networks, collaboration, and ecosystems remain surprisingly absent from public debates about science and technology policy. Since the end of World War II, innovation policy has targeted economic inputs such as funding for basic scientific research and a highly skilled workforce (via education, training, and/or immigration), as well as support for commercialization of technology, investments in information technology, and free trade. Work on national systems of innovation, by contrast, seeks to define the optimal ensembles of institutions and policies. Alternatively, policy attention is focused on achieving efficiencies and scale by gaining control over value chains, especially in critical industries such as semiconductors. Antitrust advocates have attributed stalled technological innovation to monopolistic concentration among large firms, arguing that divestiture or regulation is necessary to reinvigorate competition and speed gains for society. These approaches ignore the lessons of network research, potentially threatening the very ecosystems that could unlock competitive advantages. For example, attempts to strengthen value chains risk cutting producers off from global networks, leaving them vulnerable to shifting markets and technology and weakening the wider ecosystem. Breaking up large platform firms may likewise undermine less visible internal interdependencies that support innovation, while doing nothing to encourage external collaboration. 

Networks of networks, or ecosystems, that are characterized by a mix of collaboration and competition, can accelerate learning and problem-solving.

How might the public sector promote and strengthen important network connections in a world of continuous flux? This essay reexamines innovation policy through the lens of the current era of cloud computing, arguing that the public sector has a regulatory role as well as a nurturing one to play in fostering innovation ecosystems…(More)”.

Forest data governance as a reflection of forest governance: Institutional change and endurance in Finland and Canada


Paper by Salla Rantala, Brent Swallow, Anu Lähteenmäki-Uutela and Riikka Paloniemi: “The rapid development of new digital technologies for natural resource management has created a need to design and update governance regimes for effective and transparent generation, sharing and use of digital natural resource data. In this paper, we contribute to this novel area of investigation from the perspective of institutional change. We develop a conceptual framework to analyze how emerging natural resource data governance is shaped by related natural resource governance; complex, multilevel systems of actors, institutions and their interplay. We apply this framework to study forest data governance and its roots in forest governance in Finland and Canada. In Finland, an emphasis on open forest data and the associated legal reform represents the instutionalization of a mixed open data-bioeconomy discourse, pushed by higher-level institutional requirements towards greater openness and shaped by changing actor dynamics in relation to diverse forest values. In Canada, a strong institutional lock-in around public-private partnerships in forest management has engendered an approach that is based on voluntary data sharing agreements and fragmented data management, conforming with the entrenched interests of autonomous sub-national actors and thus extending the path-dependence of forest governance to forest data governance. We conclude by proposing how the framework could be further developed and tested to help explain which factors condition the formation of natural resource data institutions and subsequently the (re-)distribution of benefits they govern. Transparent and efficient data approaches can be enabled only if the analysis of data institutions is given equal attention to the technological development of data solutions…(More)”.

The Rise of the Worker Productivity Score


Jodi Kantor and Arya Sundaram in The New York Times: “Across industries and incomes, more employees are being tracked, recorded and ranked. What is gained, companies say, is efficiency and accountability. What is lost?…

In lower-paying jobs, the monitoring is already ubiquitous: not just at Amazon, where the second-by-second measurements became notorious, but also for Kroger cashiers, UPS drivers and millions of others. Eight of the 10 largest private U.S. employers track the productivity metrics of individual workers, many in real time, according to an examination by The New York Times.

Now digital productivity monitoring is also spreading among white-collar jobs and roles that require graduate degrees. Many employees, whether working remotely or in person, are subject to trackers, scores, “idle” buttons, or just quiet, constantly accumulating records. Pauses can lead to penalties, from lost pay to lost jobs.

Some radiologists see scoreboards showing their “inactivity” time and how their productivity stacks up against their colleagues’. At companies including J.P. Morgan, tracking how employees spend their days, from making phone calls to composing emails, has become routine practice. In Britain, Barclays Bank scrapped prodding messages to workers, like “Not enough time in the Zone yesterday,” after they caused an uproar. At UnitedHealth Group, low keyboard activity can affect compensation and sap bonuses. Public servants are tracked, too: In June, New York’s Metropolitan Transportation Authority told engineers and other employees they could work remotely one day a week if they agreed to full-time productivity monitoring.

Architects, academic administrators, doctors, nursing home workers and lawyers described growing electronic surveillance over every minute of their workday. They echoed complaints that employees in many lower-paid positions have voiced for years: that their jobs are relentless, that they don’t have control — and in some cases, that they don’t even have enough time to use the bathroom. In interviews and in hundreds of written submissions to The Times, white-collar workers described being tracked as “demoralizing,” “humiliating” and “toxic.” Micromanagement is becoming standard, they said.

But the most urgent complaint, spanning industries and incomes, is that the working world’s new clocks are just wrong: inept at capturing offline activity, unreliable at assessing hard-to-quantify tasks and prone to undermining the work itself…(More)”.

Algorithms for Decision Making


Book by Mykel J. Kochenderfer, Tim A. Wheeler and Kyle H. Wray: “Automated decision-making systems or decision-support systems—used in applications that range from aircraft collision avoidance to breast cancer screening—must be designed to account for various sources of uncertainty while carefully balancing multiple objectives. This textbook provides a broad introduction to algorithms for decision making under uncertainty, covering the underlying mathematical problem formulations and the algorithms for solving them.

The book first addresses the problem of reasoning about uncertainty and objectives in simple decisions at a single point in time, and then turns to sequential decision problems in stochastic environments where the outcomes of our actions are uncertain. It goes on to address model uncertainty, when we do not start with a known model and must learn how to act through interaction with the environment; state uncertainty, in which we do not know the current state of the environment due to imperfect perceptual information; and decision contexts involving multiple agents. The book focuses primarily on planning and reinforcement learning, although some of the techniques presented draw on elements of supervised learning and optimization. Algorithms are implemented in the Julia programming language. Figures, examples, and exercises convey the intuition behind the various approaches presented…(More)”

How social media has undermined our constitutional architecture


Article by Danielle Allen: “Our politics are awful. On this we all agree. Often we feel there is nothing we can do. Yet there are steps to take. Before we can decide what to do, though, we have to face squarely the nature of the problem we are solving.

We face a crisis of representation. And — put bluntly — Facebook is the cause.

By crisis of representation, I do not mean that the other side’s representatives drive us all crazy. Of course, they do. I do not even mean that the incredibly negative nature of our political discourse is ruining the mental health of all of us. Of course, it is. What I mean is that the fundamental structural mechanism of our constitutional democracy is representation, and one of the pillars of the original design for that system has been knocked out from under us. As a result, the whole system no longer functions effectively.

Imagine that a truck has crashed into a supporting wall for your building. Your building is now structurally unsound and shifting dangerously in the wind. That’s the kind of situation I’m talking about.

In that abstract metaphor the building is our constitutional system, and social media is the truck. But explaining what I mean requires going back to the early design of our Constitution.

Ours is not the first era brought to its knees by polarization. After the Revolution, the nation was grinding to a halt under the Articles of Confederation. Congress couldn’t get a quorum. It couldn’t secure the revenue needed to pay war debts. Polarization — or as they called it — “faction” brought paralysis.

The whole point of writing the Constitution was to fix this aspect. James Madison made the case that the design of the Constitution would dampen factionalism. He argued this in the Federalist Papers,the famous op-eds that he, John Jay and Alexander Hamilton wrote advocating for the Constitution…

Madison couldn’t anticipate Facebook, and Facebook — with its historically unprecedented power to bind factions over great distances — knocked this pillar out from under us. In this sense, Facebook and the equally powerful social media platforms that followed it broke our democracy. They didn’t mean to. It’s like when your kid plays with a beach ball in the house and breaks your favorite lamp. But break it they did.

Now, the rest of us have to fix it.

Representation as designed cannot work under current conditions. We have no choice but to undertake a significant project of democracy renovation. We need an alternative to that original supporting wall to restore structural soundness to our institutions.

In coming columns, I will make the case for the recommendations that I consider most fundamental for a 21st-century system of representation that can address our needs. The goal should be responsive representation, which means representation that is inclusive of our extraordinary diversity and, of course, simultaneously effective. Our representatives get stuff done.

Increasing the size of the House of Representatives is one recommendation from a bipartisan commission on democracy renovation that I recently co-chaired. The report we produced is called Our Common Purpose. …(More)”

EU Court Expands Definition of Sensitive Data, Prompting Legal Concerns for Companies


Article by Catherine Stupp: “Companies will be under increased pressure after Europe’s top court ruled they must apply special protections to data that firms previously didn’t consider sensitive.

Under the European Union’s General Data Protection Regulation, information about health, religion, political views and sexual orientation are considered sensitive. Companies generally aren’t allowed to process it unless they apply special safeguards.

The European Court of Justice on Aug. 1 determined that public officials in Lithuania had their sensitive data revealed because their spouses’ names were published online, which could indicate their sexual orientation. Experts say the implications will extend to other types of potentially sensitive information.

Data that might be used to infer a sensitive piece of information about a person is also sensitive, the court said. That could include unstructured data—which isn’t organized in databases and is therefore more difficult to search through and analyze—such as surveillance camera footage in a hospital that indicates a person was treated there, legal experts say. Records of a special airplane meal might reveal religious views.

The court ruling “raises a lot of practical complexities and a lot of difficulty in understanding if the data [organizations] have is sensitive or not,” said Dr. Gabriela Zanfir-Fortuna, vice president for global privacy at the Future of Privacy Forum, a think tank based in Washington, D.C.

Many companies with large data sets may not know they hold details that indirectly relate to sensitive information, privacy experts say. Identifying where that data is and deciding whether it could reveal personal details about an individual would be a huge undertaking, said Tobias Judin, head of the international section at the Norwegian data protection regulator.

“You can’t really comply with the law if your data set becomes so big that you don’t really know what’s in it,” Mr. Judin said.

The GDPR says companies can only process sensitive data in a few circumstances, such as if a person gives explicit consent for it to be used for a specified purpose.

Regulators have been grappling with the question of how to determine what is sensitive data. The Norwegian regulator last year fined gay-dating app Grindr LLC 65 million kroner, equivalent to roughly $6.7 million The regulator said the user data was sensitive because use of the app indicated their sexual orientation.

Grindr said it doesn’t require users to share that data. The company appealed in February. Mr. Judin said his office is reviewing material submitted by the company as part of its appeal. Spain’s regulator came to a different conclusion in January, and found that data Grindr shared for advertising purposes wasn’t sensitive….(More)”.