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

Advancing the application of systems thinking in health: why cure crowds out prevention

INTRODUCTION: This paper presents a system dynamics computer simulation model to illustrate unintended consequences of apparently rational allocations to curative and preventive services. METHODS: A modeled population is subject to only two diseases. Disease A is a curable disease that can be shortened by curative care. Disease B is an instantly fatal but preventable disease. Curative care workers are financed by public spending and private fees to cure disease A. Non-personal, preventive services are delivered by public health workers supported solely by public spending to prevent disease B. Each type of worker tries to tilt the balance of government spending towards their interests. Their influence on the government is proportional to their accumulated revenue. RESULTS: The model demonstrates effects on lost disability-adjusted life years and costs over the course of several epidemics of each disease. Policy interventions are tested including: i) an outside donor rationally donates extra money to each type of disease precisely in proportion to the size of epidemics of each disease; ii) lobbying is eliminated; iii) fees for personal health services are eliminated; iv) the government continually rebalances the funding for prevention by ring-fencing it to protect it from lobbying. The model exhibits a “spend more get less” equilibrium in which higher revenue by the curative sector is used to influence government allocations away from prevention towards cure. Spending more on curing disease A leads paradoxically to a higher overall disease burden of unprevented cases of disease B. This paradoxical behavior of the model can be stopped by eliminating lobbying, eliminating fees for curative services, and ring-fencing public health funding. CONCLUSIONS: We have created an artificial system as a laboratory to gain insights about the trade-offs between curative and preventive health allocations, and the effect of indicative policy interventions. The underlying dynamics of this artificial system resemble features of modern health systems where a self-perpetuating industry has grown up around disease-specific curative programs like HIV/AIDS or malaria. The model shows how the growth of curative care services can crowd both fiscal and policy space for the practice of population level prevention work, requiring dramatic interventions to overcome these trends.DFI

Developing service supply chains by using agent based simulation

The Master thesis present a novel approach to model a service supply chain with agent based simulation. Also, the case study of thesis is related to healthcare services and research problem includes facility location of healthcare centers in Vaasa region by considering the demand, resource units and service quality. Geographical information system is utilized for locating population, agent based simulation for patients and their illness status probability, and discrete event simulation for healthcare services modelling. Health centers are located on predefined sites based on managers’ preference, then each patient based on the distance to health centers, move to the nearest point for receiving the healthcare services. For evaluating cost and services condition, various key performance indicators have defined in the modelling such as Number of patient in queue, patients waiting time, resource utilization, and number of patients ratio yielded by different of inflow and outflow. Healthcare managers would be able to experiment different scenarios based on changing number of resource units or location of healthcare centers, and subsequently evaluate the results without necessity of implementation in real life.fi=Opinnäytetyö kokotekstinä PDF-muodossa.|en=Thesis fulltext in PDF format.|sv=Lärdomsprov tillgängligt som fulltext i PDF-format

Farmers' behavior and the provision of public goods: towards an analytical framework

The new CAP reform aims to stimulate the role of agriculture as provider of public goods. An analytical framework is developed to model farmers’ decision making and to gain insight into farmers’ behavior in response to a number of policy instruments. The framework integrates characteristics of farm, farmer, market, as well as the policy instruments. Theoretical analysis suggests that attitudes, off-farm employment opportunities, non-pecuniary benefits and expectations of future developments can play important roles in farmer’s decision making regarding the provision of public goods. Empirical research is needed to test the hypothesis

Building Affordable Rental Housing in Unaffordable Cities: A Canadian Low-Income Housing Tax Credit

Many Canadian cities are short of affordable rental housing. Waiting lists for low-income housing are years in length, and new-build construction of rental housing has fallen over the last two decades. This study proposes a better way to build more low-income housing in expensive Canadian cities. A made-in-Canada Low-Income Housing Tax Credit (LIHTC) could leverage private sector expertise in site location, building, and management to build more and better low-income rental housing.social policy, Canadian Mortgage and Housing Corporation, social housing

Good People Don\u27t Need Medication: How Moral Character Beliefs Affect Medical Decision-Making

How do people make decisions? Prior research focuses on how people\u27s cost-benefit assessments affect which medical treatments they choose. We propose that people also worry about what these health decisions signal about who they are. Across four studies, we find that medication is thought to be the easy way out , signaling a lack of willpower and character. These moral beliefs lower the appeal of medications. Manipulating these beliefs--by framing medication as a signal of superior willpower or by highlighting the idea that treatment choice is just a preference--increases preferences for medication

Pre-commitment to Moral Values

When faced with reoccurring tradeoffs between moral values, people can address them by considering the specifics of each case or by setting policies that predetermine how they will address similar cases. Previous research on moral judgment has often focused on isolated tradeoffs, and therefore, it is unclear which decision strategies are preferred in contexts with reoccurring tradeoffs. Across our studies, participants judged people who precommitted to always prioritizing one value more positively than people who adjusted their priorities based on the specifics of each case. Our findings have important implications for understanding public perceptions of complex policies

The Social Consequences of Absolute Moral Proclamations

Across six studies (N = 3348), we find that people prefer targets who make absolute proclamations (i.e. It is never okay for people to lie ) over targets who make ambiguous proclamations ( It is sometimes okay for people to lie ), even when both targets tell equivalent lies. Preferences for absolutism stem from the belief that moral proclamations send a true signal about moral character--they are not cheap talk. Therefore, absolute proclamations signal moral character, despite also signaling hypocrisy. This research sheds light on the consequences of absolute proclamations and identifies circumstances in which hypocrisy is preferred over consistency