35 pages, Despite the significance and growth of wind energy as a major source of renewable energy, research on the risks of wind turbines in the form of accidents and failures has attracted limited attention. Research that applies data analytics methodologically in this context is scarce. The research presented here, upon construction of a text corpus of 721 selected wind turbine accident and failure news reports, develops and applies a custom-developed data analytics framework that integrates tabular analysis, visualization, text mining, and machine learning. Topic modeling was applied for the first time to identify and classify recurring themes in wind turbine accident news, and association mining was applied to identify contextual terms associated with death and injury. The tabular and visual analyses relate accidents to location (offshore vs. onshore), wind turbine life cycle phases (transportation, construction, operation, and maintenance), and the incidence of death and injury. As one of the insights, more incidents were found to occur during operation and transportation. Through topic modeling, topics associated most with deaths and injuries were revealed. The results could benefit wind turbine manufacturers, service providers, energy companies, insurance companies, government bodies, non-profit organizations, researchers, and other stakeholders in the wind energy sector.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 202 Document Number: D12151
Notes:
Online via AgriMarketing Weekly. 1 page., Data, analytics and technology company DTN acquires a global farm-level data source, Farm Market ID. Both share goals of helping agribusinesses support producers.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 202 Document Number: D12076
Notes:
Online from publisher. 4 pages., Summarizes benefits of objectively-sourced data from sources like the USDA, public and private data firms, geospatial insights and analysis, and more. Cites weaknesses of farmer surveys, promotions, registration forms and other similar sources.
8pgs, This paper presents a critical examination of smart farming. I follow other critical analyses in recognizing the centrality of innovation processes in generating smart farming products, services, arrangements, and problematic outcomes. I subsequently use insights from critical human geography scholarship on the significance of understanding topological transformations to move beyond interpretations that identify only a narrow range of smart farming problems, such as a lack of coordination or limited uptake by farmers. Instead, I examine a broader set of challenges produced by smart farming developments. The overriding concern, I argue, is that smart farming unfolds via the production of numerous ‘misconfigured innovations.’ Using insights from literature on responsible research and innovation I then probe the stakes of looking beyond the misconfigured innovations of smart farming and discuss how new technologies might come to play a role in producing emancipatory smart farming. I pay attention to research on the ‘internet of people,’ which paints a stark new picture of social life generally, and in particular how rural life might be computed and calculated according to new conceptualizations of sociality and spatiality.
