Dollars for Profs: How to Investigate Professors’ Conflicts of Interest


ProPublica: “When professors moonlight, the income may influence their research and policy views. Although most universities track this outside work, the records have rarely been accessible to the public, potentially obscuring conflicts of interests.

That changed last month when ProPublica launched Dollars for Profs, an interactive database that, for the first time ever, allows you to look up more than 37,000 faculty and staff disclosures from about 20 public universities and the National Institutes of Health.

We believe there are hundreds of stories in this database, and we hope to tell as many as possible. Already, we’ve revealed how the University of California’s weak monitoring of conflicts has allowed faculty members to underreport their outside income, potentially depriving the university of millions of dollars. In addition, using a database of NIH records, we found that health researchers have acknowledged a total of at least $188 million in financial conflicts of interest since 2012.

We hope journalists all over the country will look into the database and find more. Here are tips for local education reporters, college newspaper journalists and anyone else who wants to hold academia accountable on how to dig into the disclosures….(More)”.

Icelandic Citizen Engagement Tool Offers Tips for U.S.


Zack Quaintance at Government Technology: “The world of online discourse was vastly different one decade ago. This was before foreign election meddling, before social media execs were questioned by Congress, and before fighting with cantankerous uncles became an online trope. The world was perhaps more naïve, with a wide-eyed belief in some circles that Internet forums would amplify the voiceless within democracy.

This was the world in which Róbert Bjarnason and his collaborators lived. Based in Iceland, Bjarnason and his team developed a platform in 2010 for digital democracy. It was called Shadow Parliament, and its aim was simply to connect Iceland’s people with its governmental leadership. The platform launched one morning that year, with a comments section for debate. By evening, two users were locked in a deeply personal argument.

“We just looked at each other and thought, this is not going to be too much fun,” Bjarnason recalled recently. “We had just created one more platform for people to argue on.”

Sure, the engagement level was quite high, bringing furious users back to the site repeatedly to launch vitriol, but Shadow Parliament was not fostering the helpful discourse for which it was designed. So, developers scrapped it, pulling from the wreckage lessons to inform future work.

Bjarnason and team, officially a nonprofit called Citizens Foundation, worked for roughly a year, and, eventually, a new platform called Better Reykjavik was born. Better Reykjavik had key differences, chief among them a new debate system with simple tweaks: Citizens must list arguments for and against ideas, and instead of replying to each other directly, they can only down-vote things with which they disagree. This is a design that essentially forces users to create standalone points, rather than volley combative responses at one another, threaded in the fashion of Facebook or Twitter.

“With this framing of it,” Bjarnason said, “we’re not asking people to write the first comment they think of. We’re actually asking people to evaluate the idea.”

One tradeoff is that fury has proven itself to be an incredible driver of traffic, and the site loses that. But what the platform sacrifices in irate engagement, it gains in thoughtful debate. It’s essentially trading anger clicks for coherent discourse, and it’s seen tremendous success within Iceland — where some municipalities report 20 percent citizen usage — as well as throughout the international community, primarily in Europe. All told, Citizens Foundation has now built like-minded projects in 20 countries. And now, it is starting to build platforms for communities in the U.S….(More)”.

Bridging the Elite-Grassroots Divide Among Anticorruption Activists


Abigail Bellows at the Carnegie Endowment for International Peace: “Corruption-fueled political change is occurring at a historic rate—but is not necessarily producing the desired systemic reforms. There are many reasons for this, but one is the dramatic dissipation of public momentum after a transition. In countries like Armenia, the surge in civic participation that generated 2018’s Velvet Revolution largely evaporated after the new government assumed power. That sort of civic demobilization makes it difficult for government reformers, facing stubbornly entrenched interests, to enact a transformative agenda.

The dynamics in Armenia reflect a trend across the anticorruption landscape, which is also echoed in other sectors. As the field has become more professionalized, anticorruption nongovernment organizations (NGOs) have developed the legal and technical expertise to serve as excellent counterparts/watchdogs for government. Yet this strength can also be a hurdle when it comes to building credibility with the everyday people they seek to represent. The result is a disconnect between elite and grassroots actors, which is problematic at multiple levels:

  • Technocratic NGOs lack the “people power” to advance their policy recommendations and are exposed to attack as illegitimate or foreign-sponsored.
  • Grassroots networks struggle to turn protest energy into targeted demands and lasting reform, which can leave citizens frustrated and disillusioned about democracy itself.
  • Government reformers lack the sustained popular mandate to deliver on the ambitious agenda they promised, leaving them politically vulnerable to the next convulsion of public anger at corruption.

Two strategies can help civil society address this challenge. First, organizations can seek to hybridize, with in-house capacities for both policy analysis and mass mobilization. Alternatively, organizations can build formal or informal coalitions between groups operating at the elite and grassroots levels, respectively. Both strategies pose challenges: learning new skills, weaving together distinct organizational cultures and methodologies, and defining demands that are both technically sound and publicly appealing. In many instances, coalition-building will be an easier road given it does not require altering internal organizational and personnel structures. Political windows-of-opportunity on anticorruption may lend urgency to this difficult task and help crystallize what both sides have to gain from increased partnership….(More)“.

Policy Perspectives on Citizen Science and Crowdsourcing


Special Issue edited by Lea A. Shanley, Alison Parker, Sven Schade, and Aletta Bonn: “Citizen science encompasses a range of methodologies that support meaningful contributions of the public to the advancement of scientific and engineering research and monitoring, in ways that may include identifying research questions; conducting scientific investigations; collecting, processing, and analyzing data; developing scientific hardware and software; and solving complex problems. As an emerging field, citizen science has been described in a variety of ways (e.g., Auerbach et al. 2019Eitzel et al. 2017Hecker et al. 2019Heigl et al. 2019Shanley, Hulbert, and Auerbach 2019). Similarly, crowdsourcing is a methodology that engages a large group of people through an open call to tackle a common task or problem, either as individuals or collectively (Howe and Robinson 2005; Howe 2006). This may include asking the public to submit new ideas, designs, algorithms, or data via an online platform or mobile app, which is sometimes incentivized through a prize or challenge.

The defining characteristic of both citizen science and crowdsourcing, however, is their “location at the point where public participation and knowledge production – or societal context and epistemology – meet, even if that intersection can take many different forms” (Irwin 2015). Irwin argues that these approaches provide an opportunity to bring members of the public and science closer together, to consider the possibilities for a more active “scientific citizenship,” [and] “to link these issues into public policy.” As several recent studies have demonstrated, citizen science and crowdsourcing can help to provide the evidence-base to inform a wide range of management and public policy decisions while fostering civic partnerships with government…

More than two decades after the publication of Irwin’s seminal book on citizen science (Irwin 1995), we see an increasing awareness and use of citizen science by national governments and multilateral organizations to address both scientific and societal challenges (e.g., Haklay 2015Nascimento et al. 2017). Governments in the United States and Europe, for example, have incorporated citizen science and crowdsourcing as part of their Open Science, Open Innovation, Open Government, and/or Open Data initiatives (e.g., OSTP 20132015OECD 2016EC 2016). The United Nations Office for the Coordination of Humanitarian Affairs and the United Nations Platform for Space-based Information for Disaster Management and Emergency Response have used crowdsourcing and citizen science for disaster response and humanitarian relief for nearly a decade (e.g., Shanley et al. 2013), while the United Nations Environment Program is beginning to explore the use of citizen science for addressing the UN Sustainable Development Goals (e.g., Chandler et al. 2017Fritz et al. 2019). This growing support for citizen science and crowdsourcing by government decision-makers and policymakers is a direct result of the focused grassroots efforts of government agency staff, in partnership with professional citizen science associations and organizations such as SciStarter, as well as the strategic positioning of citizen science and crowdsourcing as methods for addressing agency missions and national priorities (e.g., Bowser et al. In preparationGöbel et al. 2019Roger et al. 2019Shanley et al. In preparation). Through our contributions to these initiatives, the editorial team was inspired to propose this Special Issue on Policy Perspectives for Citizen Science….(More)”.

The Role of Crowdsourcing in the Healthcare Industry


Chapter by Kabir C. Sen: “The twenty first century has seen the advent of technical advances in storage, transmission and analysis of information. This has had a profound impact on the field of medicine. However, notwithstanding these advances, various obstacles remain in the world regarding the improvement of human lives through the provision of better health care. The obstacles emanate from the demand (i.e., the problem) as well as the supply (i.e., the solution) side. In some cases, the nature of the problems might not have been correctly identified. In others, a solution to a problem could be known only to a small niche of the global population. Thus, from the demand perspective, the variety of health care issues can range from the quest for a cure for a rare illness to the inability to successfully implement verifiable preventive measures for a disease that affects pockets of the global population. Alternatively, from the supply perspective, the approach to a host of health issues might vary because of fundamental differences in both medical philosophies and organizational policies.

In many instances, effective solutions to health care problems are lacking because of inadequate global knowledge about the particular disease. Alternatively, in other cases, a solution might exist but the relevant knowledge about it might only be available to selected pockets of the global medical community. Sometimes, the barriers to the transfer of knowledge might have their root causes in ignorance or prejudice about the initiator of the cure or solution. However, the advent of information technology has now provided an opportunity for individuals located at different geographical locations to collaborate on solutions to various problems. These crowdsourcing projects now have the potential to extract the “wisdom of crowds” for tackling problems which previously could not be solved by a group of experts (Surowiecki, 2014). Anecdotal evidence suggests that crowdsourcing has achieved some success in providing solutions for a rare medical disease (Arnold, 2014). This chapter discusses crowdsourcing’s potential to solve medical problems by designing a framework to evaluate its promises and suggest recommended future paths of actions….(More)”.

Wonders of the ‘urban connectome’


Michael Mehaffy at Public Square: “Urbanists have long been drawing lessons from other disciplines, including sociology, environmental psychology and ecology. Now there are intriguing new lessons being offered by a perhaps surprising field: brain science. But to explore the story of those lessons, we’ll have to start first with genetics.

Few developments in the sciences have had the impact of the revolutionary discoveries in genetics, and in particular, what is called the “genome”—the totality of the complex pattern of genetic information that produces the proteins and other structures of life. By getting a clearer picture of the workings of this evolving, generative structure, we gain dramatic new insights on disease processes, on cellular mechanisms, and on the ultimate wonders of life itself. In a similar way, geneticists now speak of the “proteome”—the no less complex structure of proteins and their workings that generate tissues, organs, signaling molecules, and other element of complex living processes.

An important characteristic of both the genome and the proteome is that they work as totalities, with any one part potentially interacting with any other. In that sense, they are immense interactive networks, with the pattern of connections shaping the interactions, and in turn being shaped by them through a process of self-organization. Proteins produce other proteins; genes switch on other genes. In this way, the structure of our bodies evolves and adapts to new conditions—new infections, new stresses, new environments. Our bodies “learn.”

It turns out that something very similar goes on in the brain. We are born with a vastly complex pattern of connections between our neurons, and these go on to change after birth as we experience new environments and learn new skills and concepts. Once again, the totality of the pattern is what matters, and the ways that different parts of the brain get connected (or disconnected) to form new patterns, new ideas and pictures of the world.  

Following the naming precedent in genetics, this complex neural structure is now being called the “connectome” (because it’s a structure that’s similar to a “genome”). The race is on to map this structure and its most important features. (Much of this work is being advanced by the NIH’s Human Connectome Project.)

What do these insights have to do with cities? As Steven Johnson noted in his book Emergence, there is more in common between the two structures than might appear. There is good reason to think that, as with brains, a lot of what happens in cities has more to do with the overall pattern of connections, and less to do with particular elements….(More)”.

As Jane Jacobs pointed out over half a century ago, the city is a kind of “intricate ballet” of people interacting, going about their plans, and shaping the life of the city, from the smallest scales to the largest. This intricate pattern is complex, but it’s far from random. As Jacobs argued, it exhibits a high degree of order — what she called “organized complexity.”

‘Come together?’ Citizens and civil servants dialogue and trust


Paper by Cecilia Güemes and Jorge Resina: “Trust is a key element in the co‐creation of solution for public problems. Working together is a gradual learning exercise that helps to shape emotions and attitudes and to create the foundations of trust. However, little is known about how institutions can promote trust. With the intention of going deeper into the subject, this paper focuses on a local experience in Spain: Madrid Escucha, a City Council initiative aimed at stimulating dialogue between officials and citizens around projects to improve city life. Three are our questions: who participate in these spaces, how the interactions are, and what advances are achieved. Based on qualitative research, empirical findings confirm a biased participation in this kind of scenarios as well as the presence of prejudices on both sides, an interaction characterised by initial idealism followed by discouragement and a possible readjustment, and a final satisfaction with the process even when results are not successful….(More)”.

Engaging citizens in determining the appropriate conditions and purposes for re-using Health Data


Beth Noveck at The GovLab: “…The term, big health data, refers to the ability to gather and analyze vast quantities of online information about health, wellness and lifestyle. It includes not only our medical records but data from apps that track what we buy, how often we exercise and how well we sleep, among many other things. It provides an ocean of information about how healthy or ill we are, and unsurprisingly, doctors, medical researchers, healthcare organizations, insurance companies and governments are keen to get access to it. Should they be allowed to?

It’s a huge question, and AARP is partnering with GovLab to learn what older Americans think about it. AARP is a non-profit organization — the largest in the nation and the world — dedicated to empowering Americans to choose how they live as they age. In 2018 it had more than 38 million members. It is a key voice in policymaking in the United States, because it represents the views of people aged over 50 in this country.

From today, AARP and the GovLab are using the Internet to capture what AARP members feel are the most urgent issues confronting them to try to discover what worries people most: the use of big health data or the failure to use it.

The answers are not simple. On the one hand, increasing the use and sharing of data could enable doctors to make better diagnoses and interventions to prevent disease and make us healthier. It could lead medical researchers to find cures faster, while the creation of health data businesses could strengthen the economy.

On the other hand, the collection, sharing, and use of big health data could reveal sensitive personal information over which we have little control. This data could be sold without our consent, and be used by entities for surveillance or discrimination, rather than to promote well-being….(More)”.

Sifting for Deeper Insights from Public Opinion: Towards Crowdsourcing and Big Data for Project Improvement


Paper by Jean Marie Tshimula et al: “Over the years, there seems to be a unidirectional top-down approach to decision-making in providing social services to the masses. This has often led to poor uninformed decisions being made with outcomes which do not necessarily match needs. Similarly from the grassroots level, it has been challenging to give opinions that reach the governing authorities (decision-making organs). The government consequently sets targets geared towards addressing societal concerns, but which do not often achieve desired results where such government endeavors are not in harmony with societal needs.

With public opinions being heard and given consideration, societal needs can be better known and priorities set to address these concerns. This paper therefore presents a priority-based voting model for governments to collect public opinion data that bring suggestions to boost their endeavors in the right direction using crowdsourcing and big data analytics….(More)”.

Dreamocracy – Collective Intelligence for the Common Good


About: “Dreamocracy is a think-and-do-tank that fosters collective intelligence / creativity for the common good through analysis, advice to organisations, and by developing and implementing innovative stakeholder management experiments.  

Dreamocracy aims to contribute to democracy’s reinvention and future. As Harvard scholar Yascha Mounk stresses, democracy in many parts of the world is at risk of “deconsolidation.” Possible collapse is signalled by the convergence of people’s dissatisfaction with democracy; their willingness to consider non-democratic forms of government as possible alternatives; and the rise in populist parties, anti-system movements and demagogues in government.

In order to ensure a bright future for democracy in service to society, Dreamocracy believes collective intelligence done well is essential to address the following three terms of our proposed “trust-in-government equation”:

TRUST = Process legitimacy + Output legitimacy + Emotions legitimacy….(More)”.