Mechanism design for time critical and cost critical task execution via crowdsourcing

An exciting application of crowdsourcing is to use social networks in complex task execution. In this paper, we address the problem of a planner who needs to incentivize agents within a network in order to seek their help in executing an atomic task as well as in recruiting other agents to execute the task. We study this mechanism design problem under two natural resource optimization settings: (1) cost critical tasks, where the planner's goal is to minimize the total cost, and (2) time critical tasks, where the goal is to minimize the total time elapsed before the task is executed. We identify a set of desirable properties that should ideally be satisfied by a crowdsourcing mechanism. In particular, sybil-proofness and collapse-proofness are two complementary properties in our desiderata. We prove that no mechanism can satisfy all the desirable properties simultaneously. This leads us naturally to explore approximate versions of the critical properties. We focus our attention on approximate sybil-proofness and our exploration leads to a parametrized family of payment mechanisms which satisfy collapse-proofness. We characterize the approximate versions of the desirable properties in cost critical and time critical domain.

Threats and trade-fffs in resource critical crowdsourcing tasks over networks

In recent times, crowdsourcing over social networks has emerged as an active tool for complex task execution. In this paper, we address the problem faced by a planner to incen-tivize agents in the network to execute a task and also help in recruiting other agents for this purpose. We study this mecha-nism design problem under two natural resource optimization settings: (1) cost critical tasks, where the planner’s goal is to minimize the total cost, and (2) time critical tasks, where the goal is to minimize the total time elapsed before the task is executed. We define a set of fairness properties that should beideally satisfied by a crowdsourcing mechanism. We prove that no mechanism can satisfy all these properties simultane-ously. We relax some of these properties and define their ap-proximate counterparts. Under appropriate approximate fair-ness criteria, we obtain a non-trivial family of payment mech-anisms. Moreover, we provide precise characterizations of cost critical and time critical mechanisms.

O crowdsourcing como ferramenta de gestão da informação na conservação dos edifícios da Câmara dos Deputados : Relatório de intervençao

Relatório de Intervenção apresentado como requisito parcial para aprovação na disciplina Práticas de Gestão no Legislativo do Curso de Mestrado Profissional em Poder Legislativo, do Programa de Pós-Graduação do Centro de Formação, Treinamento e Aperfeiçoamento da Câmara dos Deputados/Cefor.

Crowdsourcing: la descentralización del conocimiento y su impacto en los modelos productivos y de negocio

[ES] La participación activa del usuario en la Red no solo ha empezado a fomentar nuevos modelos productivos, sino también todo un modelo de negocios alrededor de los mismos. Muchas empresas están comenzando a explotar ventajas competitivas, en costes o en diferenciación, derivadas de la participación del usuario y su disponibilidad a colaborar en diversos proyectos en los que no siempre media, necesariamente, contraprestación económica; y cuando existe, suele ser inferior a la que exigiría un profesional medio por realizar el mismo trabajo. En este trabajo se analiza el fenómeno del crowdsourcing desde ambas vertientes, así como el importante impacto económico y social que genera esta nueva forma de trabajo. Dado que la base del crowdsourcing se encuentra en el efecto red, se comienza realizando un planteamiento crítico basado en la consideración de Internet como un espacio participativo que empodera a individuos y agentes económicos y en el que se analizan sus ventajas y límites. Posteriormente, y en base al estudio de diferentes casos, se sistematizan las características principales del crowdsourcing para definir tres modelos básicos en función de su consideración como modelo de negocio, como producción colaborativa con fines altruistas o como un híbrido de ambos.

Wikipedia eta anbiguetate lexikala

Hemen aurkezten dugun txostena Ingeniaritza Informatikako Karrera Bukaerako Proiektu (KBP) batean sortu dugun memoria da. Bertan, izen-entitateak desanbiguatzeko bi tresna ebaluatu ditugu, zenbait datu multzo estandar erabilita. Proiektua Eusko Jaurlaritzako lankidetza beka batekin egin dugu, EHUko IXA ikerketa taldearen baitan. QTLeap Europako proiektuan egin dugu lan, zeinek itzultzaile automatikoen mugak aztertu nahi dituzten. Bertan, hain zuzen, desanbiguazio edo izen-entitateen estekatze automatikoaren inguruan lan egin dugu. Esan bezala 2 tresna ebaluatu ditugu,Dbpedia Spotlight eta UKB. Bestalde,hiru hizkuntzetan egin ditugu esperimentuak: ingelesean, gaztelanian eta euskaran.Dbpedia Spotlight tresna ingelesean eta gaztelanian erabili ditugu eta UKB aldiz,gaztelanian eta euskaran. Izen-entitateak desanbiguatzeko erabili dugun ezagutza-basea Wikipedia izan da.

The Potential of Participedia as a Crowdsourcing Tool for Comparative Analysis of Democratic Innovations

For two reasons, our capacity for systematic comparison of innovative participatory democratic processes remains limited. First, the category of participatory democratic innovations remains relatively vague when compared to more traditional democratic institutions and practices. Second, until recently there existed no large-sample databases that captured relevant variables in the practice of democratic innovation. The lone exception to these patterns is the Participedia database, located online. Participedia is well placed to respond to the two obstacles to systematic comparative research on democratic innovation. First, its crowdsourced data collection strategy means that many of the cases on the platform are not well known and have not been the subject of sustained academic analysis. Second, the data captured in the articles provides the basis for systematic comparative analysis of democratic innovations both within type (e.g., participatory budgeting, mini-publics) and across types. The platform allows for systematic content analysis of text descriptions and/or statistical analysis of the datasets generated from the structured data fields. This article describes the data about innovative participatory democratic processes available from Participedia, and furnishes examples of the kinds of quantitative and qualitative insights about those processes that Participedia enables.

As razões e implicações das empresas nacionais na escolha de modelos de inteligência colectiva como o crowdsourcing – O Caso Idea Hunting

Dissertação apresentada à Escola Superior de Comunicação Social para obtenção de grau de mestre em Publicidade e Marketing

Crowdsourcing innovation: a strategy to leverage enterprise innovation

Innovation is recognized by academics and practitioners as an essential competitive enabler for any company to survive, to remain competitive and to grow. Investments in tasks of R&D have not always brought the expected results. But that doesn't mean that the outcomes would not be useful to other companies of the same business area or even from another area. Thus, there is much knowledge already available in the market that can be helpful to some and profitable to others. So, the ideas and expertise can be found outside a company's boundaries and also exported from within. Information, knowledge, experience, wisdom is already available in the millions of the human beings of this planet, the challenge is to use them through a network to produce new ideas and tips that can be useful to a company with less costs. This was the reason for the emergence of the area of crowdsourcing innovation. Crowdsourcing innovation is a way of using the Web 2.0 tools to generate new ideas through the heterogeneous knowledge available in the global network of individuals highly qualified and with easy access to information and technology. So, a crowdsourcing innovation broker is an organization that mediates the communication and relationship between the seekers - companies that aspire to solve some problem or to take advantage of any business opportunity - with a crowd that is prone to give ideas based on their knowledge, experience and wisdom. This paper makes a literature review on models of open innovation, crowdsourcing innovation, and technology and knowledge intermediaries, and discusses this new phenomenon as a way to leverage the innovation capacity of enterprises. Finally, the paper outlines a research design agendafor explaining crowdsourcing innovation brokering phenomenon, exploiting its players, main functions, value creation process, and knowledge creation in order to define a knowledge metamodel of such intermediaries.

Crowdsourcing innovation intermediaries functions

Open innovation is a hot topic in innovation management. Its basic premise is open up the innovation process. The innovation process, in general sense, may be seen as the process of designing, developing and commercializing a novel product or service to improve the value added of a company. The development of Web 2.0 tools facilitates this kind of contributions, opening space to the emergence of crowdsourcing innovation initiatives. Crowdsourcing is a form of outsourcing not directed to other companies but to the crowd by means of an open call mostly through an Internet platform. Innovation intermediaries, in general sense, are organizations that work to enable innovation, that just act as brokers or agents between two or more parties. Usually, they are also engaged in other activities like inter-organizational networking and technology development and related activities. A crowdsourcing innovation intermediary is an organization that mediates the communication and relationship between the seekers – companies that aspire to solve some problem or to take advantage of any business opportunity – with a crowd that is prone to give ideas based on their knowledge, experience and wisdom. This paper identifies and analyses the functions to be performed by an intermediary of crowdsourcing innovation through grounded theory analyses from literature. The resulting model is presented and explained. The resulting model summarizes eight main functions that can be performed by a crowdsourcing process, namely, diagnoses, mediation, linking knowledge, community, evaluation, project management, intellectual property governance and marketing and support. These functions are associated with a learning cycle process which covers all the crowdsourcing activities that can be realized by the broker.

Motivation drivers of millenniums for engaging in crowdsourcing ventures

Double Degree

Lohengrin grande opera romantica in 3 atti parole e musica di Riccardo Wagner; traduzione italiana dal testo originale tedesco di Salvatore de C. Marchesi

UANL

El Cos com a instrument musical: creativitat i activitat grupal col·laborativa com a proposta didàctica més enllà del context de l'aula

Sabem que l’educació no es circumscriu només en l’àmbit acadèmic ni dins el marc físic d’un centre docent, sinó que la societat i els productes que genera són elements importants a tenir en compte. En base a aquests supòsits, els nous corrents pedagògics de l’Escola Nova sorgits a començaments del segle XX ja recomanaven obrir les escoles a l’entorn immediat i aprofitar les seves possibilitats tant com a recurs educatiu com a contingut curricular en sí mateix. Aquesta premissa –plenament vigent a l’actualitat– es fa palesa especialment a l’àrea de música, no només per la gran quantitat d’informació –immediata i diversificada- i per les possibilitats didàctiques i educatives de caràcter multimèdia i interactiu de les Noves Tecnologies (NNTT), les Tecnologies de la Informació i la Comunicació (TIC) i les Tecnologies de l’Aprenentatge i la Comunicació (TAC) que configuren l’actual realitat virtual a la que ens veiem abocats, sinó per l’ampli ventall d’estils i gèneres que inclouen les programacions d’espectacles musicals al nostre abast. De la mateixa manera que l’audició de música en directe és del tot imprescindible en aquesta àrea artística i humanística per tal de desenvolupar les destreses que li són pròpies, també ho és la participació activa. En aquest sentit, constatem que la realització d’activitats educatives a nivell col·lectiu permet la interacció entre iguals i la descoberta, desenvolupament o aprofundiment d’actituds com la cooperació, la tolerància, el respecte mutu, la cohesió, etc., valors imprescindibles en una societat democràtica i plural com la nostra. I encara més, que l’activitat col·lectiva realitzada amb l’objectiu de produir un producte propi, afavoreix la satisfacció personal final que conduirà a la veritable integració dels continguts a assimilar. Per tant, la pràctica aplicada d’aquestes actituds i destreses socials es fa imprescindible en els estudis dels futurs docents. L'Espai Europeu de Educació Superior (EEES) ens aporta la incorporació d'un concepte provinent del món professional, les competències, que són un nou referent de rang superior que orienta globalment els estudis universitaris. Els objectius i continguts d'aquests tindran sentit en la mesura que contribueixin a desenvolupar algunes d'aquestes competències, ja que seran l'objecte principal d'avaluació de les titulacions. Pensem que a través d’activitats que es poden fer fora de l'aula com la que presentem en aquesta comunicació, s'ajuda a mobilitzar algunes d'aquestes competències que permetran configurar el perfil de graduat que tots desitgem

Wikipedia Theme for TikiWiki v4.x

All files, stylesheets and templates to reproduce a 'Wikipedia' theme using TikiWiki CMS Groupware 4.x (and hopefully above), by DD

WAIS seminar: Provenance Analytics and Crowdsourcing

Wednesday 26th March 2014 Speaker(s): Dr Trung Dong Huynh Organiser: Dr Tim Chown Time: 26/03/2014 11:00-11:50 Location: B32/3077 File size: 349Mb Abstract Understanding the dynamics of a crowdsourcing application and controlling the quality of the data it generates is challenging, partly due to the lack of tools to do so. Provenance is a domain-independent means to represent what happened in an application, which can help verify data and infer their quality. It can also reveal the processes that led to a data item and the interactions of contributors with it. Provenance patterns can manifest real-world phenomena such as a significant interest in a piece of content, providing an indication of its quality, or even issues such as undesirable interactions within a group of contributors. In this talk, I will present an application-independent methodology for analysing provenance graphs, constructed from provenance records, to learn about such patterns and to use them for assessing some key properties of crowdsourced data, such as their quality, in an automated manner. I will also talk about CollabMap (www.collabmap.org), an online crowdsourcing mapping application, and show how we applied the approach above to the trust classification of data generated by the crowd, achieving an accuracy over 95%.

Wikipedia and Gamergate

Abstract Introduction: This seminar is on the topic of "GamerGate", an international movement, ostensibly about "ethics in video game journalism" but which has become inextricably linked with extreme forms of online misogyny, rape and death threats towards women in the industry. It is of relevance to all Web science researchers, because it raises many issues of free speech, online governance, trolling and (not least) the representation of women in the tech industry. Our guest speaker (Mark Bernstein) is known for his criticism of the movement, and his work was featured in an article in the Guardian last week. He is a longtime collaborator in the field of hypertext and online media research, who co-orgainsed our annual international Web Science conference two years ago. Based in Boston, US, he will be speaking to us via Skype on Wednesday morning, to give us some background on the Gamergate phenomenon and to explain the recent developments regarding Wikipedia.