Collab: A new digital tool for community participation

Curated on Posted on by Stefaan Verhulst

Sidewalk Labs: “The long-term success of a neighborhood is predicated on its community members feeling a sense of ownership and belonging — of believing that, together, they are the stewards of their community. But it’s increasingly rare for 21st century city residents to join in the shared project of shaping their neighborhoods. Stop to consider: when was the last time you attended a community meeting? Volunteered at a neighborhood charity? Called your local representative? For many of us, the answer is never.

While there are many reasons for this decline in civic participation, one contributing factor is transparency. It’s not always clear how input will be used or if the organizations charged with community decisions are able to receive and act on that feedback. Another factor is that people may not always feel they are sufficiently knowledgeable on certain issues to meaningfully contribute.

To help address these challenges, governments and companies around the world have begun building tools that leverage technology to make participation more informed, transparent, and relevant to people’s daily lives.

The City of Barcelona is at the forefront of this trend, having created Decidim, an open-source digital tool inspired by social media that keeps residents up to date on processes and garners their input (the tool has since spread globally). The City of Bologna recently launched an Office of Civic Imaginationdesigned specifically to build greater participation through regulation, engagement labs throughout the city, and digital tools. Startups are also getting into the mix, such as Neighborland, which offers a customizable platform for engagement between city planners and communities. And some communities have even started creating their own tools, such as YouthScore, which allows youth to rate their neighborhoods based on their youth friendliness.

These examples are part of a promising trajectory towards inclusive digital participation that could enable people to engage with and enhance the places where they live, work, and visit. We’re excited by the idea of a future where community members can easily influence the decisions, spaces, and technologies that impact them — and where decision-making entities can be even more responsive to community input.

Our hope is that these tools kickstart a virtuous cycle: the more community members feel empowered to shape their communities, the more they will participate. The more they participate, the more decision-makers can be enabled to be more inclusive and responsive to community voices, inspiring more community members to participate. And so on.

As Barcelona, Bologna, and Neighborland show, there are many different ways that digital tools — in coordination with strong in-person and more traditional approaches — can unlock civic participation. One promising approach is leveraging technology to bring transparency into processes and decision points that could allow community members to better understand the issues at hand, provide input, and, hopefully, feel satisfied that their voices have been heard. What’s more, we believe that by providing community members with an informed, nuanced understanding of the required trade-offs of a decision, digital tools could even encourage more decisions that put collective good ahead of individual interests.

So we decided to create a prototype — one small contribution towards a more civically-engaged urban future.

Creating Collab

As a first step, we partnered with Digital Public Square, a Toronto-based non-profit that works globally to rethink and redesign how to leverage technology to support communities. Together, we came up with the idea for Collab, a digital tool that could support communities hoping to increase participation and make more inclusive, collaborative decisions….(More)”.

Pitfalls of Aiming to Empower the Bottom from the Top: The Case of Philippine Participatory Budgeting

Curated on Posted on by Stefaan Verhulst

Paper by Joy Aceron: “… explains why and how a reform program that opened up spaces for participatory budgeting was ultimately unable to result in pro-citizen power shifts that transformed governance. The study reviews the design and implementation of Bottom-Up Budgeting (BuB), the nationwide participatory budgeting (PB) program in the Philippines, which ran from 2012 to 2016 under the Benigno Aquino government. The findings underscore the importance of institutional design to participatory governance reforms. BuB’s goal was to transform local government by providing more space for civil society organizations (CSOs) to co-identify projects with the government and to take part in the budgeting process, but it did not strengthen CSO or grassroots capacity to hold their Local Government Units (LGUs) accountable.

The BuB design had features that delivered positive gains towards citizen empowerment, including: (1) providing equal seats for CSOs in the Local Poverty Reduction Action Team (LPRAT), which are formally mandated to select proposed projects (in contrast to the pre-existing Local Development Councils (LDCs), which have only 25 percent CSO representation); (2) CSOs identified their LPRAT representatives themselves (as opposed to local chief executives choosing CSO representatives, as in the LDCs); and (3) LGUs were mandated to follow participatory requirements to receive additional funding. However, several aspects of the institutional design shifted power from local governments to the central government. This had a “centralizing effect”…

This study argues that because of these design problems, BuB fell short in achieving its main political reform agenda of empowering the grassroots—particularly in enabling downward accountability that could have enabled lasting pro-citizen power shifts. It did not empower local civil society and citizens to become a countervailing force vis-à-vis local politicians in fiscal governance. BuB is a case of a reform that provided a procedural mechanism for civil society input into national agency decisions but was unable to improve government responsiveness. It provided civil society with ‘voice’, but was constrained in enabling ‘teeth’. Jonathan Fox (2014) refers to “voice” as citizen inputs, feedback and action, while “teeth” refer to the capacity of the state to respond to voice.

Finally, the paper echoes the results of other studies which find that PB programs become successful when complemented by other institutional and state democratic capacity-building reforms and when they are part of a broader progressive change agenda. The BuB experience suggests that to bolster citizen oversight, it is essential to invest sufficient support and resources in citizen empowerment and in creating an enabling environment for citizen oversight….(More)”.

San Francisco becomes the first US city to ban facial recognition by government agencies

Curated on Posted on by Stefaan Verhulst

Colin Lecher at The Verge: “In a first for a city in the United States, San Francisco has voted to ban its government agencies from using facial recognition technology.

The city’s Board of Supervisors voted eight to one to approve the proposal, set to take effect in a month, that would bar city agencies, including law enforcement, from using the tool. The ordinance would also require city agencies to get board approval for their use of surveillance technology, and set up audits of surveillance tech already in use. Other cities have approved similar transparency measures.“

The plan, called the Stop Secret Surveillance Ordinance, was spearheaded by Supervisor Aaron Peskin. In a statement read ahead of the vote, Peskin said it was “an ordinance about having accountability around surveillance technology.”

“This is not an anti-technology policy,” he said, stressing that many tools used by law enforcement are still important to the city’s security. Still, he added, facial recognition is “uniquely dangerous and oppressive.”

The ban comes amid a broader debate over facial recognition, which can be used to rapidly identify people and has triggered new questions about civil liberties. Experts have raised specific concerns about the tools, as studies have demonstrated instances of troubling bias and error rates.

Microsoft, which offers facial recognition tools, has called for some form of regulation for the technology — but how, exactly, to regulate the tool has been contested. Proposals have ranged from light regulation to full moratoriums. Legislation has largely stalled, however.

San Francisco’s decision will inevitably be used as an example as the debate continues and other cities and states decide whether and how to regulate facial recognition. Civil liberties groups like the ACLU of Northern California have already thrown their support behind the San Francisco plan, while law enforcement in the area has pushed back….(More)”.

The death of the literature review and the rise of the dynamic knowledge map

Curated on Posted on by Stefaan Verhulst

Gorgi Krlev at LSE Impact Blog: “Literature reviews are a core part of academic research that are loathed by some and loved by others. The LSE Impact Blog recently presented two proposals on how to deal with the issues raised by literature reviews: Richard P. Phelps argues, due to their numerous flaws, we should simply get rid of them as a requirement in scholarly articles. In contrast, Arnaud Vaganay proposes, despite their flaws, we can save them by means of standardization that would make them more robust. Here, I put forward an alternative that strikes a balance between the two: Let’s build databases that help systemize academic research. There are examples of such databases in evidence-based health-care, why not replicate those examples more widely?

The seed of the thought underlying my proposition of building dynamic knowledge maps in the social sciences and humanities was planted in 2014. I was attending a talk within Oxford’s evidence-based healthcare programme. Jon Brassey, the main speaker of the event and founder of the TRIP database, was explaining his life goal: making systematic reviews and meta-analyses in healthcare research redundant! His argument was that a database containing all available research on treatment of a symptom, migraine for instance, would be able to summarize and display meta-effects within seconds, whereas a thorough meta-analysis would require weeks, if not months, if done by a conventional research team.

Although still imperfect, TRIP has made significant progress in realizing this vision. The most recent addition to the database are “evidence maps” that visualize what we know about effective treatments. Evidence maps compare alternative treatments based on all available studies. They indicate effectiveness of a treatment, the “size” of evidence underscoring the claim and the risk of bias contained in the underlying studies. Here and below is an example based on 943 studies, as of today, dealing with effective treatment of migraine, indicating aggregated study size and risk of bias.

Source: TRIP database

There have been heated debates about the value and relevance of academic research (propositions have centred on intensifying research on global challenges or harnessing data for policy impact), its rigor (for example reproducibility), and the speed of knowledge production, including the “glacial pace of academic publishing”. Literature reviews, for the reasons laid out by Phelps and Vaganay, suffer from imperfections that make them: time consuming, potentially incomplete or misleading, erratic, selective, and ultimately blurry rather than insightful. As a result, conducting literature reviews is arguably not an effective use of research time and only adds to wider inefficiencies in research….(More)”.

Big Data and the Computable Society: Algorithms and People in the Digital World

Curated on Posted on by Stefaan Verhulst

Book by Domenico Talia: “Data and algorithms are changing our life. The awareness of importance and pervasiveness of the digital revolution is the primary element from which to start a path of knowledge to grasp what is happening in the world of big data and digital innovation and to understand these impacts on our minds and relationships between people, traceability and the computability of behavior of individuals and social organizations.

This book analyses contemporary and future issues related to big data, algorithms, data analysis, artificial intelligence and the internet. It introduces and discusses relationships between digital technologies and power, the role of the pervasive algorithms in our life and the risk of technological alienation, the relationships between the use of big data, the privacy of citizens and the exercise of democracy, the techniques of artificial intelligence and their impact on the labor world, the Industry 4.0 at the time of the Internet of Things, social media, open data and public innovation.

Each chapter raises a set of questions and answers to help the reader to know the key issues in the enormous maze that the tools of info-communication have built around us….(More)”.

Democracy as Failure

Curated on Posted on by Stefaan Verhulst

Paper by Aziz Z. Huq: “The theory and the practice of democracy alike are entangled with the prospect of failure. This is so in the sense that a failure of one kind or another is almost always to be found at democracy’s inception. Further, different kinds of shortfalls dog its implementation. No escape is found in theory, which precipitates internal contradictions that can only be resolved by compromising important democratic values. A stable democratic equilibrium proves elusive because of the tendency of discrete lapses to catalyze wider, systemically disruption. Worse, the very pervasiveness of local failure also obscures the tipping point at which systemic change occurs. Social coordination in defense of democracy is therefore very difficult, and its failure correspondingly more likely. This thicket of intimate entanglements has implications for both the proper description and normative analysis of democracy. At a minimum, the nexus of democracy and failure elucidates the difficulty of dichotomizing democracies into the healthy and the ailing. It illuminates the sound design of democratic institutions by gesturing toward resources usefully deployed to mitigate the costs of inevitable failure. Finally, it casts light on the public psychology best adapted to persisting democracy. To grasp the proximity of democracy’s entanglements with failure is thus to temper the aspiration for popular self-government as a steady-state equilibrium, to open new questions about the appropriate political psychology for a sound democracy, and to limn new questions about democracy’s optimal institutional specification….(More)”.

Data Trusts, Health Data, and the Professionalization of Data Management

Curated on Posted on by Stefaan Verhulst

Paper by Keith Porcaro: “This paper explores how trusts can provide a legal model for professionalizing health data management. Data is potential. Over time, data collected for one purpose can support others. Clinical records at a hospital, created to manage a patient’s care, can be internally analyzed to identify opportunities for process and safety improvements at a hospital, or externally analyzed with other records to identify optimal treatment patterns. Data also carries the potential for harm. Personal data can be leaked or exposed. Proprietary models can be used to discriminate against patients, or price them out of care.

As novel uses of data proliferate, an individual data holder may be ill-equipped to manage complex new data relationships in a way that maximizes value and minimizes harm. A single organization may be limited by management capacity or risk tolerance. Organizations across sectors have digitized unevenly or late, and may not have mature data controls and policies. Collaborations that involve multiple organizations may face coordination problems, or disputes over ownership.

Data management is still a relatively young field. Most models of external data-sharing are based on literally transferring data—copying data between organizations, or pooling large datasets together under the control of a third party—rather than facilitating external queries of a closely held dataset.

Few models to date have focused on the professional management of data on behalf of a data holder, where the data holder retains control over not only their data, but the inferences derived from their data. Trusts can help facilitate the professionalization of data management. Inspired by the popularity of trusts for managing financial investments, this paper argues that data trusts are well-suited as a vehicle for open-ended professional management of data, where a manager’s discretion is constrained by fiduciary duties and a trust document that defines the data holder’s goals…(More)”.

The Pathologies of Digital Consent

Curated on Posted on by Stefaan Verhulst

Paper by Neil M. Richards and Woodrow Hartzog: “Consent permeates both our law and our lives — especially in the digital context. Consent is the foundation of the relationships we have with search engines, social networks, commercial web sites, and any one of the dozens of other digitally mediated businesses we interact with regularly. We are frequently asked to consent to terms of service, privacy notices, the use of cookies, and so many other commercial practices. Consent is important, but it’s possible to have too much of a good thing. As a number of scholars have documented, while consent models permeate the digital consumer landscape, the practical conditions of these agreements fall far short of the gold standard of knowing and voluntary consent. Yet as scholars, advocates, and consumers, we lack a common vocabulary for talking about the different ways in which digital consents can be flawed.

This article offers four contributions to improve our understanding of consent in the digital world. First, we offer a conceptual vocabulary of “the pathologies of consent” — a framework for talking about different kinds of defects that consent models can suffer, such as unwitting consent, coerced consent, and incapacitated consent. Second, we offer three conditions for when consent will be most valid in the digital context: when choice is infrequent, when the potential harms resulting from that choice are vivid and easy to imagine, and where we have the correct incentives choose consciously and seriously. The further we fall from these conditions, the more a particular consent will be pathological and thus suspect. Third, we argue that out theory of consent pathologies sheds light on the so-called “privacy paradox” — the notion that there is a gap between what consumers say about wanting privacy and what they actually do in practice. Understanding the “privacy paradox” in terms of consent pathologies shows how consumers are not hypocrites who say one thing but do another. On the contrary, the pathologies of consent reveal how consumers can be nudged and manipulated by powerful companies against their actual interests, and that this process is easier when consumer protection law falls far from the gold standard. In light of these findings, we offer a fourth contribution — the theory of consumer trust we have suggested in prior work and which we further elaborate here as an alternative to our over-reliance on consent and its many pathologies….(More)”.

Data Science for Local Government

Curated on Posted on by Stefaan Verhulst

Report by Jonathan Bright, Bharath Ganesh, Cathrine Seidelin and Thomas Vogl: “The Data Science for Local Government project was about understanding how the growth of ‘data science’ is changing the way that local government works in the UK. We define data science as a dual shift which involves both bringing in new decision making and analytical techniques to local government work (e.g. machine learning and predictive analytics, artificial intelligence and A/B testing) and also expanding the types of data local government makes use of (for example, by repurposing administrative data, harvesting social media data, or working with mobile phone companies). The emergence of data science is facilitated by the growing availability of free, open-source tools for both collecting data and performing analysis.

Based on extensive documentary review, a nationwide survey of local authorities, and in-depth interviews with over 30 practitioners, we have sought to produce a comprehensive guide to the different types of data science being undertaken in the UK, the types of opportunities and benefits created, and also some of the challenges and difficulties being encountered.

Our aim was to provide a basis for people working in local government to start on their own data science projects, both by providing a library of dozens of ideas which have been tried elsewhere and also by providing hints and tips for overcoming key problems and challenges….(More)”

How AI could save lives without spilling medical secrets

Curated on Posted on by Stefaan Verhulst

Will Knight at MIT Technology Review: “The potential for artificial intelligence to transform health care is huge, but there’s a big catch.

AI algorithms will need vast amounts of medical data on which to train before machine learning can deliver powerful new ways to spot and understand the cause of disease. That means imagery, genomic information, or electronic health records—all potentially very sensitive information.

That’s why researchers are working on ways to let AI learn from large amounts of medical data while making it very hard for that data to leak.

One promising approach is now getting its first big test at Stanford Medical School in California. Patients there can choose to contribute their medical data to an AI system that can be trained to diagnose eye disease without ever actually accessing their personal details.

Participants submit ophthalmology test results and health record data through an app. The information is used to train a machine-learning model to identify signs of eye disease in the images. But the data is protected by technology developed by Oasis Labs, a startup spun out of UC Berkeley, which guarantees that the information cannot be leaked or misused. The startup was granted permission by regulators to start the trial last week.

The sensitivity of private patient data is a looming problem. AI algorithms trained on data from different hospitals could potentially diagnose illness, prevent disease, and extend lives. But in many countries medical records cannot easily be shared and fed to these algorithms for legal reasons. Research on using AI to spot disease in medical images or data usually involves relatively small data sets, which greatly limits the technology’s promise….

Oasis stores the private patient data on a secure chip, designed in collaboration with other researchers at Berkeley. The data remains within the Oasis cloud; outsiders are able to run algorithms on the data, and receive the results, without its ever leaving the system. A smart contract—software that runs on top of a blockchain—is triggered when a request to access the data is received. This software logs how the data was used and also checks to make sure the machine-learning computation was carried out correctly….(More)”.