Uma proposta de abordagem para gerenciamento de tarefas complexas em projetos de ciência cidadã
Resumo
Projetos crowdsourcing e de abordagens derivadas, como de ciência cidadã, cresceram devido ao advento da web 2.0. No entanto, entender os mecanismos, interações, e a forma de gerir tarefas, torna-se difícil à medida que a escalabilidade da multidão aumenta. Este trabalho tem como objetivo mostrar o planejamento de um estudo para gerir tarefas complexas em projetos de ciência cidadã. Nossa proposta pretende contribuir com uma abordagem para envio, interpretação e anotações de dados científicos por não especialistas.
Referências
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Beer, J. De, McCarthy, I. P., Soliman, A. and Treen, E. (mar 2017). Click here to agree: Managing intellectual property when crowdsourcing solutions. Business Horizons, v. 60, n. 2, p. 207–217.
Berwanger, O., Suzumura, E. A., Buehler, A. M. and Oliveira, J. B. (dec 2007). How to critically assess systematic reviews and meta-analyses? Revista Brasileira de Terapia Intensiva, v. 19, n. 4, p. 475–480.
Biolchini, J., Mian, P. G., Natali, A. C. C. and Travassos, G. H. (may 2005). Systematic review in software engineering. , Technical Report ES. System Engineering and Computer Science Department COPPE/UFRJ.
Blohm, I., Leimeister, J. M. and Krcmar, H. (2013). Crowdsourcing: how to benefit from (too) many great ideas. MIS Quarterly Executive, v. 12, n. 4, p. 199–211.
Brabham, D. C. (2013). Crowdsourcing. Cambridge, Massachusetts ; London, England: The MIT Press.
Cohn, J. P. (2008). Citizen science: Can volunteers do real research? BioScience, v. 58, n. 3, p. 192–197.
Cui, Q., Wang, S., Wang, J., et al. (2017). Multi-Objective Crowd Worker Selection in Crowdsourced Testing. In SEKE.
Cullina, E., Conboy, K. and Morgan, L. (jan 2016). Choosing the Right Crowd: An Iterative Process for Crowd Specification in Crowdsourcing Initiatives. In 2016 49th Hawaii International Conference on System Sciences (HICSS). . IEEE.
Franzoni, C. and Sauermann, H. (1 feb 2014). Crowd science: The organization of scientific research in open collaborative projects. Research Policy, v. 43, n. 1, p. 1–20.
Gil, A. C. (1999). Métodos e técnicas de pesquisa social. Atlas.
Haklay, M. (2013). Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation. In: Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. p. 105–122.
Hirth, M., Hoßfeld, T. and Tran-Gia, P. (2013). Analyzing costs and accuracy of validation mechanisms for crowdsourcing platforms. Mathematical and Computer Modelling, v. 57, n. 11–12, p. 2918–2932.
JBRJ (2019). Centro Nacional de Conservação da Flora - CNCFlora. http://cncflora.jbrj.gov.br/portal, [accessed on Aug 12].
Kullenberg, C. and Kasperowski, D. (14 jan 2016). What Is Citizen Science? – A Scientometric Meta-Analysis. PLOS ONE, v. 11, n. 1, p. e0147152.
Neu, U., Akperov, M. G., Bellenbaum, N., et al. (19 sep 2012). IMILAST: A Community Effort to Intercompare Extratropical Cyclone Detection and Tracking Algorithms. Bulletin of the American Meteorological Society, v. 94, n. 4, p. 529–547.
Portal Brasil (2012). Flora é reconhecida como uma das mais importantes do mundo. http://legado.brasil.gov.br/noticias/meio-ambiente/2012/04/flora-brasileira, [accessed on Aug 12].
Souza Brito, A. R. M. and Souza Brito, A. A. (may 1993). Forty years of Brazilian medicinal plant research. Journal of Ethnopharmacology, v. 39, n. 1, p. 53–67.
Staffelbach, M., Sempolinski, P., Kijewski-Correa, T., et al. (2015). Lessons Learned from Crowdsourcing Complex Engineering Tasks. PLOS ONE, v. 10, n. 9, p. e0134978.
Tippett, M. K. (10 dec 2018). Extreme weather and climate. npj Climate and Atmospheric Science, v. 1, n. 1, p. 1–2.
Varanda, E. A. (2009). Atividade mutagênica de plantas medicinais. Revista de ciências Farmaceuticas basica e aplicada, v. 27, n. 1, p. 1–7.
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Zou, G., Gil, A. and Tharayil, M. (dec 2014). An agent-based model for crowdsourcing systems. In Proceedings of the Winter Simulation Conference 2014. IEEE.
Beer, J. De, McCarthy, I. P., Soliman, A. and Treen, E. (mar 2017). Click here to agree: Managing intellectual property when crowdsourcing solutions. Business Horizons, v. 60, n. 2, p. 207–217.
Berwanger, O., Suzumura, E. A., Buehler, A. M. and Oliveira, J. B. (dec 2007). How to critically assess systematic reviews and meta-analyses? Revista Brasileira de Terapia Intensiva, v. 19, n. 4, p. 475–480.
Biolchini, J., Mian, P. G., Natali, A. C. C. and Travassos, G. H. (may 2005). Systematic review in software engineering. , Technical Report ES. System Engineering and Computer Science Department COPPE/UFRJ.
Blohm, I., Leimeister, J. M. and Krcmar, H. (2013). Crowdsourcing: how to benefit from (too) many great ideas. MIS Quarterly Executive, v. 12, n. 4, p. 199–211.
Brabham, D. C. (2013). Crowdsourcing. Cambridge, Massachusetts ; London, England: The MIT Press.
Cohn, J. P. (2008). Citizen science: Can volunteers do real research? BioScience, v. 58, n. 3, p. 192–197.
Cui, Q., Wang, S., Wang, J., et al. (2017). Multi-Objective Crowd Worker Selection in Crowdsourced Testing. In SEKE.
Cullina, E., Conboy, K. and Morgan, L. (jan 2016). Choosing the Right Crowd: An Iterative Process for Crowd Specification in Crowdsourcing Initiatives. In 2016 49th Hawaii International Conference on System Sciences (HICSS). . IEEE.
Franzoni, C. and Sauermann, H. (1 feb 2014). Crowd science: The organization of scientific research in open collaborative projects. Research Policy, v. 43, n. 1, p. 1–20.
Gil, A. C. (1999). Métodos e técnicas de pesquisa social. Atlas.
Haklay, M. (2013). Citizen Science and Volunteered Geographic Information: Overview and Typology of Participation. In: Crowdsourcing Geographic Knowledge: Volunteered Geographic Information (VGI) in Theory and Practice. p. 105–122.
Hirth, M., Hoßfeld, T. and Tran-Gia, P. (2013). Analyzing costs and accuracy of validation mechanisms for crowdsourcing platforms. Mathematical and Computer Modelling, v. 57, n. 11–12, p. 2918–2932.
JBRJ (2019). Centro Nacional de Conservação da Flora - CNCFlora. http://cncflora.jbrj.gov.br/portal, [accessed on Aug 12].
Kullenberg, C. and Kasperowski, D. (14 jan 2016). What Is Citizen Science? – A Scientometric Meta-Analysis. PLOS ONE, v. 11, n. 1, p. e0147152.
Neu, U., Akperov, M. G., Bellenbaum, N., et al. (19 sep 2012). IMILAST: A Community Effort to Intercompare Extratropical Cyclone Detection and Tracking Algorithms. Bulletin of the American Meteorological Society, v. 94, n. 4, p. 529–547.
Portal Brasil (2012). Flora é reconhecida como uma das mais importantes do mundo. http://legado.brasil.gov.br/noticias/meio-ambiente/2012/04/flora-brasileira, [accessed on Aug 12].
Souza Brito, A. R. M. and Souza Brito, A. A. (may 1993). Forty years of Brazilian medicinal plant research. Journal of Ethnopharmacology, v. 39, n. 1, p. 53–67.
Staffelbach, M., Sempolinski, P., Kijewski-Correa, T., et al. (2015). Lessons Learned from Crowdsourcing Complex Engineering Tasks. PLOS ONE, v. 10, n. 9, p. e0134978.
Tippett, M. K. (10 dec 2018). Extreme weather and climate. npj Climate and Atmospheric Science, v. 1, n. 1, p. 1–2.
Varanda, E. A. (2009). Atividade mutagênica de plantas medicinais. Revista de ciências Farmaceuticas basica e aplicada, v. 27, n. 1, p. 1–7.
World Economic Forum (2019). The Global Risks Report 2019. Global Risks 2019. https://wef.ch/2gN6SOd, [accessed on Aug 12].
Zou, G., Gil, A. and Tharayil, M. (dec 2014). An agent-based model for crowdsourcing systems. In Proceedings of the Winter Simulation Conference 2014. IEEE.
Publicado
03/10/2019
Como Citar
MAURICIO YAGUI, Marcela Mayumi; VIVACQUA, Adriana.
Uma proposta de abordagem para gerenciamento de tarefas complexas em projetos de ciência cidadã. In: DESENHO DE PESQUISA - SIMPÓSIO BRASILEIRO DE SISTEMAS COLABORATIVOS (SBSC), 15. , 2019, Rio de Janeiro.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2019
.
p. 45-50.
