Need an improved solution to a development challenge? Consider collaborative design


Michelle Marshall  at the Inter-American Development Bank: “The challenges faced in the development and public policy arenas are often complex in nature. Devising relevant, practical, and innovative solutions requires intensive research, analysis and expertise from multiple sectors. Could there be a way to streamline this process and also make it more inclusive? 

Collaborative Design, like other open innovation methodologies, leverages the power of a group for collective problem-solving. In particular, it is a process that virtually convenes a diverse group of specialists to support the iterative development of an intervention.

Last year, the Inter-American Development Bank and the New York University’s Governance Lab hosted an initiative called “Smarter Crowdsourcing for Zika“, which brought together health specialists with experts in social media, predictive analytics, and water and sanitation during a series of online sessions to generate innovative responses to the Zika epidemic. Based on this experience, we have considered how to continue applying a similar collaboration-based approach to additional projects in different areas. The result is what we call a “Collaborative Design” approach.

Implementing a Collaborative Design approach along the course of a project can help to achieve the following:

1. Convert knowledge gaps into opportunities…
2. Expand your community of practice across sectors…
3. Identify innovative and practical solutions…

As promising ideas are identified, Collaborative Design requires documenting possible solutions within the framework of an implementation plan, protocol, or other actionable guideline to support their subsequent real-life application. This will help substantiate the most viable interventions that were previously unmapped and also prepare additional practical resources for other project teams in the future.

For instance, the results of the Zika Smarter Crowdsourcing initiative were structured with information related to the costs and timelines to facilitate their implementation in different local contexts….(More)”

CrowdCurio: an online crowdsourcing platform to facilitate climate change studies using herbarium specimens


Charles G. Willis et al in New Phytologist: “Phenology is a key aspect of plant success. Recent research has demonstrated that herbarium specimens can provide important information on plant phenology. Massive digitization efforts have the potential to greatly expand herbarium-based phenological research, but also pose a serious challenge regarding efficient data collection.

Here, we introduce CrowdCurio, a crowdsourcing tool for the collection of phenological data from herbarium specimens. We test its utility by having workers collect phenological data (number of flower buds, open flowers and fruits) from specimens of two common New England (USA) species: Chelidonium majus and Vaccinium angustifolium. We assess the reliability of using nonexpert workers (i.e. Amazon Mechanical Turk) against expert workers. We also use these data to estimate the phenological sensitivity to temperature for both species across multiple phenophases.

We found no difference in the data quality of nonexperts and experts. Nonexperts, however, were a more efficient way of collecting more data at lower cost. We also found that phenological sensitivity varied across both species and phenophases.

Our study demonstrates the utility of CrowdCurio as a crowdsourcing tool for the collection of phenological data from herbarium specimens. Furthermore, our results highlight the insight gained from collecting large amounts of phenological data to estimate multiple phenophases…(More)”.

Five hacks for digital democracy


Beth Simone Noveck in Nature: “…Technology is already changing the way public institutions make decisions. Governments at every level are using ‘big data’ to pinpoint or predict the incidence of crime, heart attack and foodborne illness. Expert networking platforms — online directories of people and their skills, such as NovaGob.org in Spain — are helping to match civil servants who have the relevant expertise with those who need the know-how.

To get beyond conventional democratic models of representation or referendum, and, above all, to improve learning in the civil service, we must build on these pockets of promise and evolve. That requires knowledge of what works and when. But there is a dearth of research on the impact of technology on public institutions. One reason is a lack of suitable research methods. Many academics prefer virtual labs with simulated conditions that are far from realistic. Field experiments have long been used to evaluate the choice between two policies. But much less attention is paid to how public organizations might operate differently with new technologies.

The perfect must not be the enemy of the good. Even when it is impractical to create a control group and run parallel interventions in the same institution, comparisons can yield insights. For instance, one could compare the effect of using citizen commenting on legislative proposals in the Brazilian parliament with similar practices in the Finnish parliament.

Of course, some leaders have little interest in advancing more than their own power. But many more politicians and public servants are keen to use research-based evidence to guide how they use technology to govern in the public interest.

The MacArthur Foundation in Chicago, Illinois, has started funding a research network — a dozen academics and public servants — to study the possibilities of using new technology to govern more transparently and in partnership with citizens (see www.opening-governance.org). More collaboration among universities and across disciplines is needed. New research platforms — such as the Open Governance Research Exchange, developed by the Governance Lab, the UK-based non-profit mySociety and the World Bank — can offer pathways for sharing research findings and co-creating methodologies….(More)”

Digital Participation in an Open Innovation Platform : An Empirical Study on Smart Cities


Paper by J. Ojasalo and L. Tähtinen as part of the INTED2017 Proceedings: “The purpose of this paper is to increase knowledge of participation in collaborative innovation of cities with digital channels, as well as propose a model of digital participation system in an open innovation platform of a city. There is very little knowledge of this area is available in the existing research literature. This paper empirically addresses this knowledge gap and contributes to the literature on digital participation in collaborative innovation, innovation intermediaries and platforms, as well as urban development and Smart City literature. The results of this study have also clear practical implications particularly to urban policy makers and developers, companies and third sector organization collaborating with cities, as well as educators in the field of innovation and urban development. The empirical research method is qualitative and draws on data from in-depth interviews and co-creative multi-actor workshops. As the result, it proposes a model which shows the main methods of digital participation in an open innovation platform, namely information dissemination, actor recruitment, and idea generation, explains their nature….(More)”

Bigger data, less wisdom: the need for more inclusive collective intelligence in social service provision


Alexander Fink in AI & Society: “Social service organizations have long used data in their efforts to support people in need for the purposes of advocacy, tracking, and intervention. Increasingly, such organizations are joining forces to provide wrap-around services to clients in order to “move the needle” on intractable social problems. Groups using these strategies, called Collective Impact, develop shared metrics to guide their work, sharing data, finances, infrastructure, and services. A major emphasis of these efforts is on tracking clients and measuring impacts. This study explores a particular type of Collective Impact strategy called Promise Neighborhoods. Based on a federal grant program, these initiatives attempt to close the achievement gap in particular geographic communities. Through an analysis of publicly available documents and information, the study analyzes the ways these strategies enact (and fail to enact) a collective intelligence for the common good. The analysis focuses specifically on issues surrounding data collection and use, youth agency, leadership and governance, and funding streams. Together, these foci develop a story of an increasingly used “intelligence” with a limited sense of “collective” and a narrow vision of a “common good.” Using this as a platform, the paper explores alternatives that might develop more robust practices around these concepts….(More)”.

Intelligence and Information Gathering through Deliberative Crowdsourcing


Benjamin Y. Clark, Nicholas Zingale, Joseph Logan in the Journal of Public and NonProfit Affairs: “The hollowing of the state has added new challenges for administrators attending to the competing values of the administration. This article examines how the wisdom of the crowds can be used in a deliberative manner to extract new knowledge through crowdsourcing. We will specifically examine cases of intelligence and information gathering through the analysis of a suspected nuclear reactor in Syria and the use of the crowd in mapping unknown or rapidly changing environments. Through case analysis, this article seeks to understand if crowdsourcing can offer a potential opportunity for public managers to reduce transactions costs while engaging the crowd in a form of deliberative governance to understand and potentially solve public problems. Our approach involves applying the seven lessons of deliberative governance (Scott, Adams, & Wechsler, 2004) to our cases in order to produce five administrative concepts for creating mini-publics for deliberative crowdsourcing….(More)”.

Using Crowdsourcing to Map Displacement in South Sudan


The Famine Early Warning Systems Network: “…partnering with Tomnod to improve population information in five South Sudanese counties by using crowdsourcing to gather evidence-based food security analysis.

Through Tomnod, volunteers from around the world identify different elements such as buildings, tents, and livestock in satellite images that are hosted on Tomnod’s website. This approach creates data sets that can more accurately assess the level of food insecurity in South Sudan. …

This approach will help FEWS NET’s work in South Sudan obtain more information where access to areas of acute food insecurity is limited…(More)”.

With great power comes great responsibility: crowdsourcing raises methodological and ethical questions for academia


Isabell Stamm and Lina Eklund at LSE Impact Blog: “Social scientists are expanding the landscape of academic knowledge production by adopting online crowdsourcing techniques used by businesses to design, innovate, and produce. Researchers employ crowdsourcing for a number of tasks, such as taking pictures, writing text, recording stories, or digesting web-based data (tweets, posts, links, etc.). In an increasingly competitive academic climate, crowdsourcing offers researchers a cutting-edge tool for engaging with the public. Yet this socio-technical practice emerged as a business procedure rather than a research method and thus contains many hidden assumptions about the world which concretely affect the knowledge produced. With this comes a problematic reduction of research participants into a single, faceless crowd. This requires a critical assessment of crowdsourcing’s methodological assumptions….(More)”

OpenAerialMap


OpenAerialMap (OAM) is a set of tools for searching, sharing, and using openly licensed satellite and unmanned aerial vehicle (UAV) imagery.

Built on top of the Open Imagery Network (OIN), OAM is an open service that provides search and access to this imagery…

Use the map to pan and zoom to search available imagery. Imagery can be previewed by selecting a tile and browsing the sidebar. Read the User Guide for more information.

All imagery is publicly licensed and made available through the Humanitarian OpenStreetMap Team’s Open Imagery Network (OIN) Node. All imagery contained in OIN is licensed CC-BY 4.0, with attribution as contributors of Open Imagery Network. All imagery is available to be traced in OpenStreetMap.

OAM is available for sharing and distributing aerial imagery. There are plenty of ways to get involved in OpenAerialMap.

Check out the GitHub repository to learn more about the design and how to get involved in the project….(More)”

Crowdmapping as a new data source for journalists


Ana Brandusescu and Renée Sieber in Data Driven Journalism: “Crowdsourced data, especially for mapping, is a boon for data driven journalism. In 2015, Nepal’s earthquake was mapped in an astounding 48 hours. The number of volunteers increased to over 2,400 mappers, most of them international, a number that increased exponentially from the initial range of seven to 100 mapping volunteers present before the earthquake occurred.

A significant use of crowdsourced data for mapping, or crowdmapping, is to inform crisis responses like the Nepal earthquake by providing a medium for citizens to communicate with one another and with those seeking to help victims. The benefits to affected peoples are immediate information sharing and visualization of dire and urgent events. These apps have the ability to fill information gaps and even provide aid for disaster victims. Volunteers from across the globe also can contribute to crowdsource entire maps of post-disaster road infrastructures and refugee sites. As a platform and medium, crisis mapping has become so popular that it is increasingly replacing traditional mapping methods for humanitarian emergencies. This is also a huge benefit to journalists as they demonstrate connectivity between open source software, humanitarian crises, and crowdsourcing. According to the Tow Center’s Guide to Crowdsourcing, “Crowdsourcing allows newsrooms to build audience entry points at every stage of the journalistic process—from story assigning, to pre-data collection, to data mining, to sharing specialized expertise, to collecting personal experiences and continuing post-story conversations”….

But let’s get real. Crowdsourced apps have a highly nuanced and complex process with many problems. Here’s five points.

1. Some crises are sexier than others…
2. These apps are far from being zero-cost…
3. Participant engagement is opaque…
4. The problem with “disruption” as a transformative tech…
5. The technical literacy of journalists… (More)
This article is based on the authors’ research article “Confronting the hype: The use of crisis mapping for community development”. Read the full article here.