A snapshot on crowdfunding

This article addresses crowdfunding, a relatively new form of informal financing of pro-jects and ventures. It describes its principle characteristics and the range of players in this market. The different business models of crowdfunding intermediaries are explored and illustrated. A first attempt is made to classify the different forms of funding and business models of crowdfunding intermediaries. Based on the available empirical data the paper discusses the economic relevance of crowdfunding and its applicability to start-up financing and funding creative ventures and research projects. --

Blockchain for Organising Effective Grass-Roots Actions on a Global Commons: Saving The Planet

An overwhelming majority of experts has been flagging for decades that “Saving the Planet” requires immediate, persistent and drastic action to curb a variety of catastrophic risks over the 21st century. However, despite compelling evidence and a range of suggested solutions, transnational coordination of effective measures to protect our biosphere continues to fall short. To remedy, we propose a novel platform for addressing the central issue of affording trust, transparency and truth while minimizing administrative overheads. This will empower an even loosely organised, global grass-roots community to coordinate a large-scale project on a shared goal (“Commons”) spanning the digital and real world. The Web3 concept is based on the swiftly emerging “Blockchain” and related cryptographic, distributed and permissionless technologies. “Wisdom of the crowds” mechanisms involving competitive parallelisation and prediction markets are enabled by formalised reputation and staking to incentivise high-quality work, fair validation and best management practice. While these mechanisms have been (mostly separately) applied to science, business, governance, web, sensor, information and communication technologies (ICT), our integrative approach around Blockchain-enabled ‘operating principles and protocols’ sets the basis for designing novel forms of potentially crowdfunded Decentralised Autonomous Organisations (DAOs)

Government as a social machine - the implications of government as a social machine for making and implementing market-based policy

This is the second of two reports from the Government as a Social Machine project. The first report gave an overview of the evolution of electronic/digital government, and explored the concept of 21st century government as a \u27social machine\u27. This report identifies seven social machines developed by governments in Australia and New Zealand. These social machines harness digital technologies in order to deliver more effective and efficient services, develop better business practices, and enable better accountability and transparency. The report gives an overview of each social machine in context, describing the social need that is being met and the community that has developed it, and begins to unravel some of the socio-political consequences that might arise from the use of these social machines within the public policy context. These reports are not intended to be comprehensive (further educational materials are being developed as part of the ANZSOG Case Library), but they are intended to begin a conversation amongst those studying or practicing in public policy as to how governments can better understand, manage and employ these evolving social machines for better governance and social benefit

Supporting Earth-Observation Calibration and Validation: A new generation of tools for crowdsourcing and citizen science

Citizens are providing vast amounts of georeferenced data in the form of in situ data collections as well as interpretations and digitization of Earth-observation (EO) data sets. These new data streams have considerable potential for supporting the calibration and validation of current and future products derived from EO. We provide a general introduction to this growing area of interest and review existing crowdsourcing and citizen science (CS) initiatives of relevance to EO. We then draw upon our own experiences to provide case studies that highlight different types of data collection and citizen engagement and discuss the various barriers to adoption. Finally, we highlight opportunities for how citizens can become part of an integrated EO monitoring system in the framework of the European Union (EU) space program, including Copernicus and other monitoring initiatives

A Multi-Dimensional Approach for Framing Crowdsourcing Archetypes

All different kinds of organizations – business, public, and non-governmental alike – are becoming aware of a soaring complexity in problem solving, decision making and idea development. In a multitude of circumstances, multidisciplinary teams, high-caliber skilled resources and world-class computer suites do not suffice to cope with such a complexity: in fact, a further need concerns the sharing and ‘externalization’ of tacit knowledge already existing in the society. In this direction, participatory tendencies flourishing in the interconnected society in which we live today lead ‘collective intelligence’ to emerge as key ingredient of distributed problem solving systems going well beyond the traditional boundaries of organizations. Resulting outputs can remarkably enrich decision processes and creative processes carried out by indoor experts, allowing organizations to reap benefits in terms of opportunity, time and cost. Taking stock of the mare magnum of promising opportunities to be tapped, of the inherent diversity lying among them, and of the enormous success of some initiative launched hitherto, the thesis aspires to provide a sound basis for the clear comprehension and systematic exploitation of crowdsourcing. After a thorough literature review, the thesis explores new ways for formalizing crowdsourcing models with the aim of distilling a brand-new multi-dimensional framework to categorize various crowdsourcing archetypes. To say it in a nutshell, the proposed framework combines two dimensions (i.e., motivations to participate and organization of external solvers) in order to portray six archetypes. Among the numerous significant elements of novelty brought by this framework, the prominent one is the ‘holistic’ approach that combines both profit and non-profit, trying to put private and public sectors under a common roof in order to examine in a whole corpus the multi-faceted mechanisms for mobilizing and harnessing competence and expertise which are distributed among the crowd. Looking at how the crowd may be turned into value to be internalized by organizations, the thesis examines crowdsourcing practices in the public as well in the private sector. Regarding the former, the investigation leverages the experience into the PADGETS project through action research – drawing on theoretical studies as well as on intensive fieldwork activities – to systematize how crowdsourcing can be fruitfully incorporated into the policy lifecycle. Concerning the private realm, a cohort of real cases in the limelight is examined – having recourse to case study methodology – to formalize different ways through which crowdsourcing becomes a business model game-changer. Finally, the two perspectives (i.e., public and private) are coalesced into an integrated view acting as a backdrop for proposing next-generation governance model massively hinged on crowdsourcing. In fact, drawing on archetypes schematized, the thesis depicts a potential paradigm that government may embrace in the coming future to tap the potential of collective intelligence, thus maximizing the utilization of a resource that today seems certainly underexploited

Economic resilience and crowdsourcing platforms

The increased interdependence and complexity of modern societies have increased the need to involve all members of a community into solving problems. In times of great uncertainty, when communities face threats of different kinds and magnitudes, the traditional top-down approach where government provides solely for community wellbeing is no longer plausible. Crowdsourcing has emerged as an effective means of empowering communities with the potential to engage individuals in innovation, self-organization activities, informal learning, mutual support, and political action that can all lead to resilience. However, there remains limited resource on the topic. In this paper, we outline the various forms of crowdsourcing, economic and community resilience, crowdsourcing and economic resilience, and a case study of the Nepal earthquake. his article presents an exploratory perspective on the link can be found between crowdsourcing and economic resilience. It introduces and describes a framework that can be used to study the impact of crowdsourcing initiatives for economic resilience by future research. An initial a set of indicators to be used to measure the change in the level of resilience is presented.info:eu-repo/semantics/publishedVersio

MYTH OR REALITY? CROWDSOURCING AS A COMPLEX PROBLEMSOLVING MODEL: EVIDENCE FROM SOFTWARE DEVELOPED BY THE CROWD AND PROFESSIONALS

Crowdsourcing is a problem-solving model. Conventional theory suggests that solving complex problems is a province of professionals, people with sufficient knowledge about the domain. Prior literature indicated that the crowd is also a great source for solving complex problems. However, there is a lack of experimental research to support that crowdsourcing is a useful model for complex problem-solving (CPS), especially in the software development context. The broad goal of this dissertation is to address this research gap and improve understanding of crowdsourcing as a viable and effective CPS model. This research proposed and tested a research model of perceived quality of software designed using two development approaches (crowdsourcing method and professional method). Perceived quality is measured in terms of pragmatic quality (PQL), hedonic quality stimulation (HQSL), and hedonic quality identification (HQIL). Adopting a quasiexperimental research design, the researcher utilized a two-phase process to investigate the research question. The first phase involved the design of a software prototype for a complex task by the crowd and IT professionals. The crowd used Topcoder, a popular crowdsourcing environment, to design a software prototype. In the second phase, the researcher compared software designs by the crowd to those designed by IT professionals based on the three perceived quality dimensions. The major finding of this research is that the development approach (crowdsourcing versus IT professionals) has a significant effect on all three dependent variables: HQIL, HQSL, and PQL. However, univariate results suggested that there is no significant difference in terms of the hedonic quality, which refers to the general human needs aspect of a product. This dissertation contributes to research by building on relevant research in the areas of CPS, user experience, and crowdsourcing. Furthermore, it fills an important gap in the understanding of the perceived quality of crowdsourced software compared to software developed by IT professionals

eBird: Curating Citizen Science Data for Use by Diverse Communities

In this paper we describe eBird, a highly successful citizen science project. With over 150,000 participants worldwide and an accumulation of over 140,000,000 bird observations globally in the last decade, eBird has evolved into a major tool for scientific investigations in diverse fields such as ornithology, computer science, statistics, ecology and climate change. eBird’s impact in scientific research is grounded in careful data curation practices that pay attention to all stages of the data lifecycle, and attend to the needs of stakeholders engaged in that data lifecycle. We describe the important aspects of eBird, paying particular attention to the mechanisms to improve data quality; describe the data products that are available to the global community; investigate some aspects of the downloading community; and demonstrate significant results that derive from the use of openly-available eBird data

Open Platform Concept for Blockchain- Enabled Crowdsourcing of Technology Development and Supply Chains

We outline the concept of an open technology platform which builds upon a publicly accessible library of fluidic designs, manufacturing processes and experimental characterisation, as well as virtualisation by a ‘digital twin” based on modelling, simulation and cloud computing. Backed by the rapidly emerging Web3 technology “Blockchain”, we significantly extend traditional approaches to effectively incentivise broader participation by an interdisciplinary ‘value network’ of diverse players. Ranging from skilled individuals (the ‘citizen scientist’, the ‘garage entrepreneur’) and more established research institutions to companies with their infrastructures, equipment and services, the novel platform approach enables all stakeholders to jointly contribute to value creation along more decentralised supply chain designs including research and technology development (RTD). Blockchain-enabled “Wisdom of the Crowds” and “Skin in the game” mechanisms secure “trust” and transparency between participants. Prediction markets are created for guiding decision making, planning and allocation of funding; competitive parallelisation of work and its validation from independent participants substantially enhances quality, credibility and speed of project outcomes in the real world along the entire path from RTD, fabrication and testing to eventual commercialisation. This novel, Blockchain-backed open platform concept can be led by a corporation, academic entity, a loosely organised group, or even “chieflessly” within a smart-contract encoded Decentralised Autonomous Organisation (DAO). The proposed strategy is particularly attractive for highly interdisciplinary fields like Lab-on-a- Chip systems in the context of manifold applications in the Life Sciences. As an exemplar, we outline the centrifugal microfluidic “Lab-on-a-Disc” technology. Rather than engaging in all sub-disciplines themselves, many smaller, highly innovative actors can focus on strengthening the product component distinguishing their unique selling point (USP), e.g., a particular bioassay, detection scheme or application scenario. In this effort, system integrators access underlying commons like fluidic design, manufacture, instrumentation and software from a more resilient and diversified supply chain, e.g., based on a verified pool of community-endorsed or certified providers