02404nas a2200265   4500008004100000022001400041245011000055210006900165260004200234300001000276490000600286520159900292653001901891653002001910653002901930653000901959653001401968653002301982100002102005700002102026700001702047700001802064700001902082856003702101       2017                        eng d  a1927-032100aDesigning a Business Model for Environmental Monitoring Services Using Fast MCDS Innovation Support Tools0 aDesigning a Business Model for Environmental Monitoring Services  aOttawabTalent First Networkc11/2017  a36-460 v73 aThe free availability of open data provides opportunities to start new businesses and gain business intelligence. However, although data is often used to support decisions and actions, the possibilities offered by modern sensor technologies with connections to cloud-based data collection services are not being effectively capitalized. Data collection systems are also not generally open source solutions, even though open and flexibly adjustable systems would broaden the opportunities for solutions and larger revenue streams. In this article, we used action research methods to discover new business opportunities in a semi-open information system that utilizes environmental monitoring data. We applied a four-stage innovation process for industry, which included context definition, idea generation, and selection, and produced multi-criteria decision support (MCDS) data to help the design of business model. This was done to reveal business opportunities for an environmental monitoring service. Among these opportunities, one service-style business model canvas was identified as feasible and selected for further development. We identified items that are needed in the commercialization process of environmental monitoring services. Our process combines open environmental monitoring data, participative innovation process, and MCDS support, and it supports and accelerates a co-creative business model creation process that is cost-beneficial in terms of saving time. The results are applicable to the creation of an open data information system that supports data-driven innovation.10abusiness model10adata collection10aenvironmental monitoring10aMCDS10aopen data10aservice innovation1 aEskelinen, Tuomo1 aRäsänen, Teemu1 aSantti, Ulla1 aHapponen, Ari1 aKajanus, Miika  uhttp://timreview.ca/article/111901744nas a2200217   4500008004100000022001400041245007300055210006900128260004200197300000900239490000600248520108700254653001801341653002001359653001401379653003001393653001801423653003001441100001901471856003601490       2014                        eng d  a1927-032100aHarassMap: Using Crowdsourced Data to Map Sexual Harassment in Egypt0 aHarassMap Using Crowdsourced Data to Map Sexual Harassment in Eg  aOttawabTalent First Networkc03/2014  a7-130 v43 aThrough a case study of HarassMap, an advocacy, prevention, and response tool that uses crowdsourced data to map incidents of sexual harassment in Egypt, this article examines the application of crowdsourcing technology to drive innovation in the field of social policy. This article applies a framework that explores the potential, limitations, and future applications of crowdsourcing technology in this sector to reveal how crowdsourcing technology can be applied to overcome cultural and environmental constraints that have traditionally impeded the collection of data. Many of the lessons emerging from this case study hold relevance beyond the field of social policy. Applied to specific problems, this technology can be used to improve the efficiency and effectiveness of mitigation strategies, while facilitating rapid and informed decision making based on "good enough" data. However, this case also illustrates a number of challenges arising from the integrity of crowdsourced data and the potential for ethical conflict when using this data to inform policy formulation. 10acrowdsourcing10adata collection10aHarassMap10ainternational development10asocial policy10auser contribution systems1 aYoung, Chelsea  uhttp://timreview.ca/article/770