In this thesis I present Noosphere, a system for the collaborative production of digital libraries. Further, I describe the special features of Noosphere which allow it to support mathematical and scientific content, and how it applies an encyclopedic organizational style. I also describe how Noosphere frees the digital library maintainer from a heavy administrative burden by implementing the design pattern of zero content administration. Finally, I discuss evidence showing that Noosphere works and is sustainable, both in the a priori and empirical senses. / Master of Science

This study attempts to shed light on the efficacy of crowdsourcing as a means of translating web content in Canada. Within, we seek to explore and understand if a model can be created that can estimate the effectiveness of crowdsourced translation as a means of bridging the Canadian Linguistic Digital Divide. To test our hypotheses and models, we use structural equation modeling techniques coupled with confidence intervals for comparing experimental crowdsourced translation to both professional and machine translation baselines. Furthermore, we explore a variety of factors which influence the quality of the experimental translations, how those translations performed in the context of their source text, and the ways in which the views of the quality of the experimental translations were measured before and after participants were made aware of how the experimental translations were created.

This study attempts to shed light on the efficacy of crowdsourcing as a means of translating web content in Canada. Within, we seek to explore and understand if a model can be created that can estimate the effectiveness of crowdsourced translation as a means of bridging the Canadian Linguistic Digital Divide. To test our hypotheses and models, we use structural equation modeling techniques coupled with confidence intervals for comparing experimental crowdsourced translation to both professional and machine translation baselines. Furthermore, we explore a variety of factors which influence the quality of the experimental translations, how those translations performed in the context of their source text, and the ways in which the views of the quality of the experimental translations were measured before and after participants were made aware of how the experimental translations were created.

This study attempts to shed light on the efficacy of crowdsourcing as a means of translating web content in Canada. Within, we seek to explore and understand if a model can be created that can estimate the effectiveness of crowdsourced translation as a means of bridging the Canadian Linguistic Digital Divide. To test our hypotheses and models, we use structural equation modeling techniques coupled with confidence intervals for comparing experimental crowdsourced translation to both professional and machine translation baselines. Furthermore, we explore a variety of factors which influence the quality of the experimental translations, how those translations performed in the context of their source text, and the ways in which the views of the quality of the experimental translations were measured before and after participants were made aware of how the experimental translations were created.

This study attempts to shed light on the efficacy of crowdsourcing as a means of translating web content in Canada. Within, we seek to explore and understand if a model can be created that can estimate the effectiveness of crowdsourced translation as a means of bridging the Canadian Linguistic Digital Divide. To test our hypotheses and models, we use structural equation modeling techniques coupled with confidence intervals for comparing experimental crowdsourced translation to both professional and machine translation baselines. Furthermore, we explore a variety of factors which influence the quality of the experimental translations, how those translations performed in the context of their source text, and the ways in which the views of the quality of the experimental translations were measured before and after participants were made aware of how the experimental translations were created.

Since the late twentieth century, open source software projects (e.g., the GNU/Linux operating system, the Apache web server, Perl and many others) have achieved phenomenal success. This success can be attributed to a new paradigm of productivity in which individuals voluntarily collaborate to produce knowledge, goods and services. Benkler claims this productivity paradigm is a “new, third mode of production” particularly suited for “the digitally networked environment” (2002). In addition to its application to open source software projects, the peer production model, in different forms, has been used in areas such as science/citizen science (Silvertown, 2009), library science (Weinberger, 2007), politics (Castells, 2007; Jenkins, 2006), education (Daniel, 2012), journalism (Gillmor, 2004), and culture (Jenkins, 2006; Lessig, 2004). As peer production has flourished, merely describing successful cases has become less useful. Instead, scholars must identify the dynamics, structures, and conditions that contribute to or impede that success. In this dissertation, I focus on three management challenges at three distinct levels that impede the success of peer production. At the individual level, one significant question is how to best organize individual contributors with differing goals, experience, and commitment to achieve a collective outcome. At the practice level, peer production communities, like corporations, must often transfer best practices from one unit to another to improve performance. This transfer process poses the challenge of how to adapt and modify an original practice to make it effective in the new context. At the community level, peer production communities must learn to survive and succeed in a large ecosystem of related communities. This dissertation combines theoretical approaches in organization science with in-depth empirical analysis on a range of peer production communities to examine the mechanisms that help the communities overcome these three management challenges and succeed in peer production. The contributions of my dissertation are twofold. For scholars and researchers, my dissertation advances the theoretical understanding of the underlying mechanisms of successful peer production systems. For practitioners, my dissertation offers practical advice to build more effective peer production projects and platforms.

The study examinesthe variety of interaction and motivation practices to participate in the sharing initiative as well as pinpointing key elements of member-driven organization functioning;in the case of Stockholm Makerspace– a community of non-professional makers.  The Current scholarship on sharing is mostly focused on the large-scale platform businesses in a North American context, thus evidence from grassroots small-scale initiatives is lacking. This paper aims to fill this gap by providing the empirically grounded sociological study of the operation of sharing initiative in Sweden. Data including 1) 11 in-depth interviews conducted with active members of the community and experts, 2) ethnographic observation in situations of planned workshops and everyday life of the Makerspace, 3) systematic online observation (in the role of observer as participant) (Gold, 1958). Therefore, this study employs mixed ethnography and digital methodology – studying sharing economy communities both online and in situto provide a ‘thick’ description of community building. The results revealed that members of the Stockholm Makerspace, acted as prosumers, and attempted to benefit not only from the community understudy, but also contributed to the societal development at large, by creating a public good. Shared access to tools and common “know-how” democratized production of knowledge and its spreading, thus contributing to informal learning, which complemented formal education institutions. The main incentives of sharing, vocalized by participants in the study were open-ended socializing and community commitment, as well as self-expression and belonging.

Commons-based peer production is an activity that is emerging as a distinct mode of resource allocation and production of information, knowledge and culture ('social production' for short), potentially heralding a new stage in the development of information/knowledge-based economies. This paper presents a cross-country analysis of factors determining the information and knowledge output of the paradigmatic social production project, i.e. SETI@home. The main hypothesis explored is that the level of average subjective well-being in a country is a motivational proxy variable that can help explain the cross-country variation in SETI@home output levels. The hypothesis that trust might be of lesser importance is also explored. I find support for both hypotheses, but only for developed and advanced countries, not poor countries.

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Our current system of research and production is no longer suitable for solving the problems we face today. As climate change threatens our cities and livelihoods, the global economic system preys on the weak. A more responsive, equitable, and resilient system needs to be implemented. Our post industrial cities are both products and victims of the boom-bust economies employed for the last few centuries. While some communities have survived by converting to retail and services based economies, others have not been so fortunate and have become run-down husks of their former bustling selves. The key to revitalizing these cities is to create new industries that empower people, unlike the service economies that deride and devalue them. Peer to Peer (P2P) development models like open source software communities create platforms for people to collaborate on projects and share resources. On the scale of cities, the goal is to stimulate the growth of closed loop, local, micro-economies that are inherently more stable than traditional, centralized economic models.Commons Based Peer Production (CBPP) is a term coined by Professor Yochai Benkler at Harvard Law School. It describes a new model of socio-economic production in which the labor of large numbers of people is coordinated (usually with the aid of the Internet) mostly without traditional hierarchical organization. It is based on low thresholds for participation, freely available modular tasks, and community verification of quality (peer governance). CBPP usually only applies to intellectual output, from software to libraries of quantitative data to human-readable documents (manuals, books, encyclopedias, reviews, blogs, periodicals, and more); however, this system can be adapted for physical manufacturing. A P2P system of development for material goods must be explored through the production of a common resource. Mycelium is the “roots” of fungi. It can be grown anywhere with agricultural refuse as a substrate. It has properties that make it ideal for building insulation and it is environmentally innocuous. It is Cradle to Cradle certified, and it requires little specialized equipment to produce. As a consumer product, it has had trouble gaining traction in a notoriously stubborn market dominated by hydrocarbon based market leaders like extruded polystyrene (XPS). Mycelium products are ripe for development as a regenerative building material. The goal is to increase the R-value of the material, decrease the cost of manufacturing, and carve out a market for this extraordinary product. The purpose of applying a CBPP approach is to increase the speed of development and aid in market penetration. The strategy is to decentralize manufacturing of and experimentation with the product. This requires a robust network of production nodes. Essentially, this involves setting up franchises in select markets (like the Pioneer Valley), where there is a strong interest in local, sustainable products. The nodes would be small cooperative businesses that are licensed to produce the material as well as collect data on the manufacturing and performance of mycelium insulation. The data will then be used to improve the production process. The bulk of the thesis is in designing one such node in Greenfield, MA, located adjacent to the new John W. Olver Transit Center on Bank Row St.