Human Computation and Convergence

Humans are the most effective integrators and producers of information, directly and through the use of information-processing inventions. As these inventions become increasingly sophisticated, the substantive role of humans in processing information will tend toward capabilities that derive from our most complex cognitive processes, e.g., abstraction, creativity, and applied world knowledge. Through the advancement of human computation - methods that leverage the respective strengths of humans and machines in distributed information-processing systems - formerly discrete processes will combine synergistically into increasingly integrated and complex information processing systems. These new, collective systems will exhibit an unprecedented degree of predictive accuracy in modeling physical and techno-social processes, and may ultimately coalesce into a single unified predictive organism, with the capacity to address societies most wicked problems and achieve planetary homeostasis.Comment: Pre-publication draft of chapter. 24 pages, 3 figures; added references to page 1 and 3, and corrected typ

Engineering Crowdsourced Stream Processing Systems

A crowdsourced stream processing system (CSP) is a system that incorporates crowdsourced tasks in the processing of a data stream. This can be seen as enabling crowdsourcing work to be applied on a sample of large-scale data at high speed, or equivalently, enabling stream processing to employ human intelligence. It also leads to a substantial expansion of the capabilities of data processing systems. Engineering a CSP system requires the combination of human and machine computation elements. From a general systems theory perspective, this means taking into account inherited as well as emerging properties from both these elements. In this paper, we position CSP systems within a broader taxonomy, outline a series of design principles and evaluation metrics, present an extensible framework for their design, and describe several design patterns. We showcase the capabilities of CSP systems by performing a case study that applies our proposed framework to the design and analysis of a real system (AIDR) that classifies social media messages during time-critical crisis events. Results show that compared to a pure stream processing system, AIDR can achieve a higher data classification accuracy, while compared to a pure crowdsourcing solution, the system makes better use of human workers by requiring much less manual work effort

Privacy in crowdsourcing:a systematic review

The advent of crowdsourcing has brought with it multiple privacy challenges. For example, essential monitoring activities, while necessary and unavoidable, also potentially compromise contributor privacy. We conducted an extensive literature review of the research related to the privacy aspects of crowdsourcing. Our investigation revealed interesting gender differences and also differences in terms of individual perceptions. We conclude by suggesting a number of future research directions.</p

Simulating the Cost of Cooperation: A Recipe for Collaborative Problem-Solving

Collective problem-solving and decision-making, along with other forms of collaboration online, are central phenomena within ICT. There had been several attempts to create a system able to go beyond the passive accumulation of data. However, those systems often neglect important variables such as group size, the difficulty of the tasks, the tendency to cooperate, and the presence of selfish individuals (free riders). Given the complex relations among those variables, numerical simulations could be the ideal tool to explore such relationships. We take into account the cost of cooperation in collaborative problem solving by employing several simulated scenarios. The role of two parameters was explored: the capacity, the group’s capability to solve increasingly challenging tasks coupled with the collective knowledge of a group, and the payoff, an individual’s own benefit in terms of new knowledge acquired. The final cooperation rate is only affected by the cost of cooperation in the case of simple tasks and small communities. In contrast, the fitness of the community, the difficulty of the task, and the groups sizes interact in a non-trivial way, hence shedding some light on how to improve crowdsourcing when the cost of cooperation is high

New quality of financial institutions and business management

Economic processes in the world are characterized by a high level of dynamism, change and innovative approaches to addressing key issues in nowadays. In a context of globalization and European integration of Ukraine into a high-tech competitive environment in order to financing innovative projects, it is necessary to use Blockchain technology as an effective tool for digital economy. Purpose of scientific research is to find out key priorities and functionalities of Blockchain’s application for solving business and government tasks. The object of scientific research is the latest financial technology Blockchain and a system of cult-technologies: crowdsourcing, crowdfunding, crowdinvesting. Methodology. In the process of re-search, the following methods are used: generalization – in studying the nature, pre-conditions and principles of Blockchain technologies; formalization – when compar-ing characteristics of the latest forms of financing, such as crowdsourcing, crowd-funding, crowdinvesting. In the course of scientific research, key qualitative charac-teristics of digital economy are described and the dominant components of its devel-opment are investigated. The result of the article. The priorities, new principles of business management and possibilities of Blockchain technology as an effective digi-tal economy tool for solving business and government tasks are revealed. Future pro-spects from the implementation of crowd-technologies as an effective management tool in progress for solving the problems of innovative business are substantiated. Interconnection in the latest financial institution of creative initiatives realization is presented. The comparative analysis of management of new institutes of innovative development for Ukrainian economy in the course of doing business is carried out. The result of the research is presentation of the relationship in the latest financial in-stitution implementing creative initiatives and a comparative analysis of new insti-tutes of innovative development in the sphere of finance for the Ukrainian economy. Practical implications. The components of digital economy identified by the authors in the article are accelerators of the socio-economic life of Ukrainian society in the modern world and are capable of rapidly increasing Ukraine’s GDP. The described new forms of financing of Ukrainian start-ups (crowdsourcing, crowdfunding, crowdsourcing) are today quite interesting and effective tool for solving business problems in the financial, economic, innovative, marketing and marketing spheres. Value/originality. Blockchain technology, as an effective tool for Ukraine’s digital economy, is able to address the challenges of business and government, uncover the relationship between crowdsourcing, crowdfunding, crowdsourcing, and explain the content of innovative financial institutions for Ukraine’s economy