Mexico City is crowdsourcing its new constitution using Change.org in a democracy experiment


Ana Campoy at Quartz: “Mexico City just launched a massive experiment in digital democracy. It is asking its nearly 9 million residents to help draft a new constitution through social media. The crowdsourcing exercise is unprecedented in Mexico—and pretty much everywhere else.

as locals are known, can petition for issues to be included in the constitution through Change.org (link inSpanish), and make their case in person if they gather more than 10,000 signatures. They can also annotate proposals by the constitution drafters via PubPub, an editing platform (Spanish) similar to GoogleDocs.

The idea, in the words of the mayor, Miguel Angel Mancera, is to“bestow the constitution project (Spanish) with a democratic,progressive, inclusive, civic and plural character.”

There’s a big catch, however. The constitutional assembly—the body that has the final word on the new city’s basic law—is under no obligation to consider any of the citizen input. And then there are the practical difficulties of collecting and summarizing the myriad of views dispersed throughout one of the world’s largest cities.

That makes Mexico City’s public-consultation experiment a big test for the people’s digital power, one being watched around the world.Fittingly, the idea of crowdsourcing a constitution came about in response to an attempt to limit people power.

Fittingly, the idea of crowdsourcing a constitution came about in response to an attempt to limit people power.
For decades, city officials had fought to get out from under the thumb of the federal government, which had the final word on decisions such as who should be the city’s chief of police. This year, finally, they won a legal change that turns the Distrito Federal (federal district), similar to the US’s District of Columbia, into Ciudad de México (Mexico City), a more autonomous entity, more akin to a state. (Confusingly, it’s just part of the larger urban area also colloquially known as Mexico City, which spills into neighboring states.)

However, trying to retain some control, the Mexican congress decided that only 60% of the delegates to the city’s constitutional assembly would be elected by popular vote. The rest will be assigned by the president, congress, and Mancera, the mayor. Mancera is also the only one who can submit a draft constitution to the assembly.

Mancera’s response was to create a committee of some 30 citizens(Spanish), including politicians, human-rights advocates, journalists,and even a Paralympic gold medalist, to write his draft. He also calledfor the development of mechanisms to gather citizens’ “aspirations,values, and longing for freedom and justice” so they can beincorporated into the final document.

 The mechanisms, embedded in an online platform (Spanish) that offersvarious ways to weigh in, were launched at the end of March and willcollect inputs until September 1. The drafting group has until themiddle of that month to file its text with the assembly, which has toapprove the new constitution by the end of January.
 An experiment with few precedents

Mexico City didn’t have a lot of examples to draw on, since not a lot ofplaces have experience with crowdsourcing laws. In the US, a few locallawmakers have used Wiki pages and GitHub to draft bills, says MarilynBautista, a lecturer at Stanford Law School who has researched thepractice. Iceland—with a population some 27 times smaller than MexicoCity’s—famously had its citizens contribute to its constitution withinput from social media. The effort failed after the new constitution gotstuck in parliament.

In Mexico City, where many citizens already feel left out, the first bighurdle is to convince them it’s worth participating….

Then comes the task of making sense of the cacophony that will likelyemerge. Some of the input can be very easily organized—the results ofthe survey, for example, are being graphed in real time. But there could be thousands of documents and comments on the Change.org petitionsand the editing platform.

 Ideas are grouped into 18 topics, such as direct democracy,transparency and economic rights. They are prioritized based on theamount of support they’ve garnered and how relevant they are, saidBernardo Rivera, an adviser for the city. Drafters get a weekly deliveryof summarized citizen petitions….
An essay about human rights on the PubPub platform.(PubPub)

The most elaborate part of the system is PubPub, an open publishing platform similar to Google Docs, which is based on a project originally developed by MIT’s Media Lab. The drafters are supposed to post essays on how to address constitutional issues, and potentially, the constitution draft itself, once there is one. Only they—or whoever they authorize—will be able to reword the original document.

User comments and edits are recorded on a side panel, with links to the portion of text they refer to. Another screen records every change, so everyone can track which suggestions have made it into the text. Members of the public can also vote comments up or down, or post their own essays….(More).

Tag monitors air pollution and never loses charge


Springwise: “The battle to clean up the air of major cities is well underway, with businesses and politicians pledging to help with the pollution issue. We have seen projects using mobile air sensors mounted on pigeons to bring the problem to public attention, and now a new crowdsourcing campaign is attempting to map the UK’s air pollution.

CleanSpace uses a portable, air pollution-sensing tag to track exposure to harmful pollutants in real-time. The tag is connected to an app, which analyzes and combines the data to that of other users in the UK to create an air pollution map.

An interesting part of the CleanSpace Tag’s technology is the fact it never needs to be charged. The startup say the tag is powered by harvesting 2G, 3G, 4G and wifi signals, which keep its small power requirements filled. The app also rewards users for traveling on-foot or by bike, offering them “CleanMiles” that can be exchanged for discounts with the CleanSpace’s partners.

The startup successfully raised more than GBP 100,000 in a crowdfunding campaign last year, and the team has given back GBP 10,000 to their charitable partners this year. …(More)”

Crowdsourcing healthcare costs: Opportunities and challenges for patient centered price transparency


Paper by Zachary F. MeiselLauren A. Houdek VonHoltz, and Raina M. Merchant in Healthcare: “Efforts to improve health care price transparency have garnered significant attention from patients, policy makers, and health insurers. In response to increasing consumer demand, state governments, insurance plans, and health care providers are reporting health care prices. However, such data often do not provide consumers with the most salient information: their own actual out-of-pocket cost for medical care. Although untested, crowdsourcing, a mechanism for the public to help answer complex questions, represents a potential solution to the problem of opaque hospital costs. This article explores, the challenges and potential opportunities for crowdsourcing out-of-pocket costs for healthcare consumers….(More)”.

Crowdcrafting


Crowdcrafting is a web-based service that invites volunteers to contribute to scientific projects developed by citizens, professionals or institutions that need help to solve problems, analyze data or complete challenging tasks that cant be done by machines alone, but require human intelligence. The platform is 100% open source – that is its software is developed and distributed freely – and 100% open-science, making scientific research accessible to everyone.

Crowdcrafting uses PyBossa software: Our open source framework for crowdsourcing projects. Institutions, such as the British Museum, CERN and United Nations (UNITAR), are also PyBossa users.

What is citizen science?

Citizen science is the active contribution of people who are not professional scientists to science. It provides volunteers with the opportunity to contribute intellectually to the research of others, to share resources or tools at their disposal, or even to start their own research projects. Volunteers provide real value to ongoing research while they themselves acquire a better understanding of the scientific method.

Citizen science opens the doors of laboratories and makes science accessible to all. It facilitates a direct conversation between scientists and enthusiasts who wish to contribute to scientific endeavour.

Who and how you can collaborate?

Anyone can create a new project or contribute to an existing project in Crowdcrafting.

All projects start with a simple tutorial explaining how they work and providing all the information required to participate. There is thus no specific knowledge or experience required to complete proposed tasks. All volunteers need is a keen attitude to learn and share science with everyone….(More)”

citizenscience.gov


citizenscience.gov is an official government website designed to accelerate the use of crowdsourcing and citizen science across the U.S. government. The site provides a portal to three key components for federal practitioners: a searchable catalog of federally supported citizen science projects, a toolkit to assist with designing and maintaining projects, and a gateway to a community of practice to share best practices.

Wiki-fishing


The Economist: “….Mr Rhoads is a member of a network started by the Alaska Longline Fishermen’s Association (ALFA), which aims to do something about this and to reduce by-catch of sensitive species such as rockfish at the same time. Network fishermen, who numbered only 20 at the project’s start, agreed to share data on where and what they were catching in order to create maps that highlighted areas of high by-catch. Within two years they had reduced accidental rockfish harvest by as much as 20%.

The rockfish mapping project expanded to create detailed maps of the sea floor, pooling data gathered by transducers fixed to the bottoms of boats. By combining thousands of data points as vessels traverse the fishing grounds, these “wikimaps”—created and updated through crowdsourcing—show gravel beds where bottom-dwelling halibut are likely to linger, craggy terrain where rockfish tend to lurk, and outcrops that could snag gear.

Public charts are imprecise, and equipment with the capability to sense this level of detail could cost a fisherman more than $70,000. Skippers join ALFA for as little as $250, invest a couple of thousand dollars in computers and software and enter into an agreement to turn over fishing data and not to share the information outside the network, which now includes 85 fishermen.

Skippers say the project makes them more efficient, better able to find the sort of fish they want and avoid squandering time on lost or tangled gear. It also means fewer hooks in the water and fewer hours at sea to catch the same amount of fish….(More)”

Social app for refugees and locals translates in real-time


Springwise: “Europe is in the middle of a major refugee crisis, with more than one million migrants arriving in 2015 alone. Now, developers in Stockholm are coming up with new ways for arrivals to integrate into their new homes.

Welcome! is an app based in Sweden, a country that has operated a broadly open policy to immigration in recent years. The developers say the app aims to break down social and language barriers between Swedes and refugees. Welcome! is translated into Arabic, Persian, Swedish and English, and it enables users to create, host and join activities, as well as ask questions of locals, chat with new contacts, and browse events that are nearby.

The idea is to solve one of the major difficulties for immigrants arriving in Europe by encouraging the new arrivals and locals to interact and connect, helping the refugees to settle in. The app offers real-time auto-translation through its four languages, and can be downloaded for iOS and Android….We have already seen an initiative in Finland helping to set up startups with refugees…(More)

Crowdsourcing a Collective Sense of Place


Jenkins A., Croitoru A., Crooks A.T., Stefanidis A. in PLOS: “Place can be generally defined as a location that has been assigned meaning through human experience, and as such it is of multidisciplinary scientific interest. Up to this point place has been studied primarily within the context of social sciences as a theoretical construct. The availability of large amounts of user-generated content, e.g. in the form of social media feeds or Wikipedia contributions, allows us for the first time to computationally analyze and quantify the shared meaning of place. By aggregating references to human activities within urban spaces we can observe the emergence of unique themes that characterize different locations, thus identifying places through their discernible sociocultural signatures. In this paper we present results from a novel quantitative approach to derive such sociocultural signatures from Twitter contributions and also from corresponding Wikipedia entries. By contrasting the two we show how particular thematic characteristics of places (referred to herein as platial themes) are emerging from such crowd-contributed content, allowing us to observe the meaning that the general public, either individually or collectively, is assigning to specific locations. Our approach leverages probabilistic topic modelling, semantic association, and spatial clustering to find locations are conveying a collective sense of place. Deriving and quantifying such meaning allows us to observe how people transform a location to a place and shape its characteristics….(More)”

Selected Readings on Data and Humanitarian Response


By Prianka Srinivasan and Stefaan G. Verhulst *

The Living Library’s Selected Readings series seeks to build a knowledge base on innovative approaches for improving the effectiveness and legitimacy of governance. This curated and annotated collection of recommended works on the topic of data and humanitarian response was originally published in 2016.

Data, when used well in a trusted manner, allows humanitarian organizations to innovate how to respond to emergency events, including better coordination of post-disaster relief efforts, the ability to harness local knowledge to create more targeted relief strategies, and tools to predict and monitor disasters in real time. Consequently, in recent years both multinational groups and community-based advocates have begun to integrate data collection and evaluation strategies into their humanitarian operations, to better and more quickly respond to emergencies. However, this movement poses a number of challenges. Compared to the private sector, humanitarian organizations are often less equipped to successfully analyze and manage big data, which pose a number of risks related to the security of victims’ data. Furthermore, complex power dynamics which exist within humanitarian spaces may be further exacerbated through the introduction of new technologies and big data collection mechanisms. In the below we share:

  • Selected Reading List (summaries and hyperlinks)
  • Annotated Selected Reading List
  • Additional Readings

Selected Reading List  (summaries in alphabetical order)

Data and Humanitarian Response

Risks of Using Big Data in Humanitarian Context

Annotated Selected Reading List (in alphabetical order)

Karlsrud, John. “Peacekeeping 4.0: Harnessing the Potential of Big Data, Social Media, and Cyber Technologies.” Cyberspace and International Relations, 2013. http://bit.ly/235Qb3e

  • This chapter from the book “Cyberspace and International Relations” suggests that advances in big data give humanitarian organizations unprecedented opportunities to prevent and mitigate natural disasters and humanitarian crises. However, the sheer amount of unstructured data necessitates effective “data mining” strategies for multinational organizations to make the most use of this data.
  • By profiling some civil-society organizations who use big data in their peacekeeping efforts, Karlsrud suggests that these community-focused initiatives are leading the movement toward analyzing and using big data in countries vulnerable to crisis.
  • The chapter concludes by offering ten recommendations to UN peacekeeping forces to best realize the potential of big data and new technology in supporting their operations.

Mancini, Fancesco. “New Technology and the prevention of Violence and Conflict.” International Peace Institute, 2013. http://bit.ly/1ltLfNV

  • This report from the International Peace Institute looks at five case studies to assess how information and communications technologies (ICTs) can help prevent humanitarian conflicts and violence. Their findings suggest that context has a significant impact on the ability for these ICTs for conflict prevention, and any strategies must take into account the specific contingencies of the region to be successful.
  • The report suggests seven lessons gleaned from the five case studies:
    • New technologies are just one in a variety of tools to combat violence. Consequently, organizations must investigate a variety of complementary strategies to prevent conflicts, and not simply rely on ICTs.
    • Not every community or social group will have the same relationship to technology, and their ability to adopt new technologies are similarly influenced by their context. Therefore, a detailed needs assessment must take place before any new technologies are implemented.
    • New technologies may be co-opted by violent groups seeking to maintain conflict in the region. Consequently, humanitarian groups must be sensitive to existing political actors and be aware of possible negative consequences these new technologies may spark.
    • Local input is integral to support conflict prevention measures, and there exists need for collaboration and awareness-raising with communities to ensure new technologies are sustainable and effective.
    • Information shared between civil-society has more potential to develop early-warning systems. This horizontal distribution of information can also allow communities to maintain the accountability of local leaders.

Meier, Patrick. “Digital humanitarians: how big data is changing the face of humanitarian response.” Crc Press, 2015. http://amzn.to/1RQ4ozc

  • This book traces the emergence of “Digital Humanitarians”—people who harness new digital tools and technologies to support humanitarian action. Meier suggests that this has created a “nervous system” to connect people from disparate parts of the world, revolutionizing the way we respond to humanitarian crises.
  • Meier argues that such technology is reconfiguring the structure of the humanitarian space, where victims are not simply passive recipients of aid but can contribute with other global citizens. This in turn makes us more humane and engaged people.

Robertson, Andrew and Olson, Steve. “Using Data Sharing to Improve Coordination in Peacebuilding.” United States Institute for Peace, 2012. http://bit.ly/235QuLm

  • This report functions as an overview of a roundtable workshop on Technology, Science and Peace Building held at the United States Institute of Peace. The workshop aimed to investigate how data-sharing techniques can be developed for use in peace building or conflict management.
  • Four main themes emerged from discussions during the workshop:
    • “Data sharing requires working across a technology-culture divide”—Data sharing needs the foundation of a strong relationship, which can depend on sociocultural, rather than technological, factors.
    • “Information sharing requires building and maintaining trust”—These relationships are often built on trust, which can include both technological and social perspectives.
    • “Information sharing requires linking civilian-military policy discussions to technology”—Even when sophisticated data-sharing technologies exist, continuous engagement between different stakeholders is necessary. Therefore, procedures used to maintain civil-military engagement should be broadened to include technology.
    • “Collaboration software needs to be aligned with user needs”—technology providers need to keep in mind the needs of its users, in this case peacebuilders, in order to ensure sustainability.

United Nations Independent Expert Advisory Group on a Data Revolution for Sustainable Development. “A World That Counts, Mobilizing the Data Revolution.” 2014. https://bit.ly/2Cb3lXq

  • This report focuses on the potential benefits and risks data holds for sustainable development. Included in this is a strategic framework for using and managing data for humanitarian purposes. It describes a need for a multinational consensus to be developed to ensure data is shared effectively and efficiently.
  • It suggests that “people who are counted”—i.e., those who are included in data collection processes—have better development outcomes and a better chance for humanitarian response in emergency or conflict situations.

Katie Whipkey and Andrej Verity. “Guidance for Incorporating Big Data into Humanitarian Operations.” Digital Humanitarian Network, 2015. http://bit.ly/1Y2BMkQ

  • This report produced by the Digital Humanitarian Network provides an overview of big data, and how humanitarian organizations can integrate this technology into their humanitarian response. It primarily functions as a guide for organizations, and provides concise, brief outlines of what big data is, and how it can benefit humanitarian groups.
  • The report puts forward four main benefits acquired through the use of big data by humanitarian organizations: 1) the ability to leverage real-time information; 2) the ability to make more informed decisions; 3) the ability to learn new insights; 4) the ability for organizations to be more prepared.
  • It goes on to assess seven challenges big data poses for humanitarian organizations: 1) geography, and the unequal access to technology across regions; 2) the potential for user error when processing data; 3) limited technology; 4) questionable validity of data; 5) underdeveloped policies and ethics relating to data management; 6) limitations relating to staff knowledge.

Risks of Using Big Data in Humanitarian Context
Crawford, Kate, and Megan Finn. “The limits of crisis data: analytical and ethical challenges of using social and mobile data to understand disasters.” GeoJournal 80.4, 2015. http://bit.ly/1X0F7AI

  • Crawford & Finn present a critical analysis of the use of big data in disaster management, taking a more skeptical tone to the data revolution facing humanitarian response.
  • They argue that though social and mobile data analysis can yield important insights and tools in crisis events, it also presents a number of limitations which can lead to oversights being made by researchers or humanitarian response teams.
  • Crawford & Finn explore the ethical concerns the use of big data in disaster events introduces, including issues of power, privacy, and consent.
  • The paper concludes by recommending that critical data studies, such as those presented in the paper, be integrated into crisis event research in order to analyze some of the assumptions which underlie mobile and social data.

Jacobsen, Katja Lindskov (2010) Making design safe for citizens: A hidden history of humanitarian experimentation. Citizenship Studies 14.1: 89-103. http://bit.ly/1YaRTwG

  • This paper explores the phenomenon of “humanitarian experimentation,” where victims of disaster or conflict are the subjects of experiments to test the application of technologies before they are administered in greater civilian populations.
  • By analyzing the particular use of iris recognition technology during the repatriation of Afghan refugees to Pakistan in 2002 to 2007, Jacobsen suggests that this “humanitarian experimentation” compromises the security of already vulnerable refugees in order to better deliver biometric product to the rest of the world.

Responsible Data Forum. “Responsible Data Reflection Stories: An Overview.” http://bit.ly/1Rszrz1

  • This piece from the Responsible Data forum is primarily a compilation of “war stories” which follow some of the challenges in using big data for social good. By drawing on these crowdsourced cases, the Forum also presents an overview which makes key recommendations to overcome some of the challenges associated with big data in humanitarian organizations.
  • It finds that most of these challenges occur when organizations are ill-equipped to manage data and new technologies, or are unaware about how different groups interact in digital spaces in different ways.

Sandvik, Kristin Bergtora. “The humanitarian cyberspace: shrinking space or an expanding frontier?” Third World Quarterly 37:1, 17-32, 2016. http://bit.ly/1PIiACK

  • This paper analyzes the shift toward more technology-driven humanitarian work, where humanitarian work increasingly takes place online in cyberspace, reshaping the definition and application of aid. This has occurred along with what many suggest is a shrinking of the humanitarian space.
  • Sandvik provides three interpretations of this phenomena:
    • First, traditional threats remain in the humanitarian space, which are both modified and reinforced by technology.
    • Second, new threats are introduced by the increasing use of technology in humanitarianism, and consequently the humanitarian space may be broadening, not shrinking.
    • Finally, if the shrinking humanitarian space theory holds, cyberspace offers one example of this, where the increasing use of digital technology to manage disasters leads to a contraction of space through the proliferation of remote services.

Additional Readings on Data and Humanitarian Response

* Thanks to: Kristen B. Sandvik; Zara Rahman; Jennifer Schulte; Sean McDonald; Paul Currion; Dinorah Cantú-Pedraza and the Responsible Data Listserve for valuable input.

The Bottom of the Data Pyramid: Big Data and the Global South


Payal Arora at the International Journal of Communication: “To date, little attention has been given to the impact of big data in the Global South, about 60% of whose residents are below the poverty line. Big data manifests in novel and unprecedented ways in these neglected contexts. For instance, India has created biometric national identities for her 1.2 billion people, linking them to welfare schemes, and social entrepreneurial initiatives like the Ushahidi project that leveraged crowdsourcing to provide real-time crisis maps for humanitarian relief.

While these projects are indeed inspirational, this article argues that in the context of the Global South there is a bias in the framing of big data as an instrument of empowerment. Here, the poor, or the “bottom of the pyramid” populace are the new consumer base, agents of social change instead of passive beneficiaries. This neoliberal outlook of big data facilitating inclusive capitalism for the common good sidelines critical perspectives urgently needed if we are to channel big data as a positive social force in emerging economies. This article proposes to assess these new technological developments through the lens of databased democracies, databased identities, and databased geographies to make evident normative assumptions and perspectives in this under-examined context….(More)”.