scholarly journals Data identity and perspectivism

Synthese ◽  
2020 ◽  
Author(s):  
Franklin Jacoby

Abstract This paper uses several case studies to suggest that (1) two prominent definitions of data do not on their own capture how scientists use data and (2) a novel perspectival account of data is needed. It then outlines some key features of what this account could look like. Those prominent views, the relational and representational, do not fully capture what data are and how they function in science. The representational view is insensitive to the scientific context in which data are used. The relational account does not fully account for the empirical nature of data and how it is possible for data to be evidentially useful. The perspectival account surmounts these problems by accommodating a representational element to data. At the same time, data depend upon the epistemic context because they are the product of situated and informed judgements.

2021 ◽  
Author(s):  
Ryan Daher ◽  
Nesma Aldash

Abstract With the global push towards Industry 4.0, a number of leading companies and organizations have invested heavily in Industrial Internet of Things (IIOT's) and acquired a massive amount of data. But data without proper analysis that converts it into actionable insights is just more information. With the advancement of Data analytics, machine learning, artificial intelligence, numerous methods can be used to better extract value out of the amassed data from various IIOTs and leverage the analysis to better make decisions impacting efficiency, productivity, optimization and safety. This paper focuses on two case studies- one from upstream and one from downstream using RTLS (Real Time Location Services). Two types of challenges were present: the first one being the identification of the location of all personnel on site in case of emergency and ensuring that all have mustered in a timely fashion hence reducing the time to muster and lessening the risks of Leaving someone behind. The second challenge being the identification of personnel and various contractors, the time they entered in productive or nonproductive areas and time it took to complete various tasks within their crafts while on the job hence accounting for efficiency, productivity and cost reduction. In both case studies, advanced analytics were used, and data collection issues were encountered highlighting the need for further and seamless integration between data, analytics and intelligence is needed. Achievements from both cases were visible increase in productivity and efficiency along with the heightened safety awareness hence lowering the overall risk and liability of the operation. Novel/Additive Information: The results presented from both studies have highlighted other potential applications of the IIOT and its related analytics. Pertinent to COVID-19, new application of such approach was tested in contact tracing identifying workers who could have tested positive and tracing back to personnel that have been in close proximity and contact therefore reducing the spread of COVID. Other application of the IIOT and its related analytics has also been tested in crane, forklift and heavy machinery proximity alert reducing the risk of accidents.


2001 ◽  
Vol 58 (1) ◽  
pp. 63-72 ◽  
Author(s):  
Michael L Pace

The need for prediction is now widely recognized and frequently articulated as an objective of research programs in aquatic science. This recognition is partly the legacy of earlier advocacy by the school of empirical limnologists. This school, however, presented prediction narrowly and failed to account for the diversity of predictive approaches as well to set prediction within the proper scientific context. Examples from time series analysis and probabilistic models oriented toward management provide an expanded view of approaches and prospects for prediction. The context and rationale for prediction is enhanced understanding. Thus, prediction is correctly viewed as an aid to building scientific knowledge with better understanding leading to improved predictions. Experience, however, suggests that the most effective predictive models represent condensed models of key features in aquatic systems. Prediction remains important for the future of aquatic sciences. Predictions are required in the assessment of environmental concerns and for testing scientific fundamentals. Technology is driving enormous advances in the ability to study aquatic systems. If these advances are not accompanied by improvements in predictive capability, aquatic research will have failed in delivering on promised objectives. This situation should spark discomfort in aquatic scientists and foster creative approaches toward prediction.


2020 ◽  
Vol 12 (18) ◽  
pp. 7804
Author(s):  
Dominika Šulyová ◽  
Gabriel Koman

The wood-processing industry currently does not sufficiently use modern technologies, unlike the automotive sector. The primary motive for writing this article was in cooperation with a Slovak wood processing company, which wanted to improve its logistics processes and increase competitiveness in the wood processing sector through the implementation of new technologies. The aim of this article was to identify the positives and limitations of the implementation of Internet of Things (IoT) technology into the wood processing industry, based on a secondary analysis of case studies and the best practice of American wood processing companies such as West Fraser Timber in Canada, and Weyerhaeuser in the USA. The selection of case studies was conditional on criteria of time relevance, size of the sawmills, and production volume in m3. These conditional criteria reflected the conditions for the introduction of similar concepts for wood-processing enterprises in Slovakia. The implementation of the IoT can reduce operating costs by up to 20%, increase added value for customers, and collect real-time data that can serve as the basis for support of management and decision-making at the operational, tactical, and strategic levels. In addition to the secondary analysis, methods of comparison of global wood processing companies, synthesis of knowledge, and summarization of positives and limitations of IoT implementation or deduction were used to reach our conclusions. The results were used as the basis for the design of a general model for the implementation of IoT technology for Slovak wood processing enterprises. This model may represent best practice for the selected locality and industry. The implications and verification of the designed model in practice will form part of other research activities, already underway in the form of a primary survey.


Facilities ◽  
2005 ◽  
Vol 23 (1/2) ◽  
pp. 31-46 ◽  
Author(s):  
Seán T. McAndrew ◽  
Chimay J. Anumba ◽  
Tarek M. Hassan ◽  
Alistair K. Duke

PurposeThe purpose of the paper is to discuss the scope for improving the delivery of FM services through the use of wireless web‐based communications infrastructure, delivered via an application service provider (ASP) business model. This paper discusses the findings from case studies of three organisations and their approach to the management of facilities.Design/methodology/approachAn investigation was undertaken to ascertain the current state of play in terms of managing and tracking processes within the facilities management department of three different organisations. These case studies were chosen from distinct sectors, namely health care, higher education, and banking. Emphasis is placed on analysing how the organisations currently operate with their existing FM systems and the degree of influence technology has on existing processes. This was considered mainly in terms of computer‐aided facilities management (CAFM) and computer‐integrated facilities management (CIFM).FindingsThe study found that a new wireless web‐based service for FM systems would be considered useful. Although notoriously slow adopters of new technology, there was an acceptance by the facilities managers interviewed that a wireless web‐based approach would improve current practice, especially with respect to real‐time job reporting and tracking and in the determination of FM operative working time utilisation.Practical implicationsFurther work by the author is focusing on the development of a suitable demonstrator to illustrate the key concepts of a wireless web‐based FM service which will then be tested and evaluated. For further information, visit the research project web site at www.wirelessfm.org Originality/value – The paper hopefully stimulates discussion in the area of emerging wireless technologies that have the potential to streamline and improve current practices for the management of facilities, in particular that of real‐time job reporting and tracking.


2021 ◽  
Vol 6 (6) ◽  
Author(s):  
Zbigniew Szmyt

This paper investigates the relationship between animism and public past in post-socialist Inner Asia. The analysis was based on three case studies highlighting key features of the relationship between local conceptions of personhood, non-human agency, and their role in structuring native visions of the past: (1) negotiations between families and the spirits  of their ancestors – victims of communist purges in Mongolia, (2) a powerful necro-persona that allows local communities to gain political subjectivity and undermine conventional post-Soviet historical narratives, and (3) the return of the undead lama Itigilov that caused Buddhist revival in Buryatia. Posthuman agents have been involved in mythopraxis,  through which native regimes of historicity are established.


2021 ◽  
Author(s):  
John McIntosh ◽  
Renata Martin ◽  
Pedro Alcala ◽  
Stian Skjævesland ◽  
John Rigg

Abstract The paper describes a project known internally as "InWell" to address multiple requirements in Repsol Drilling & Completions. InWell is defined by a new Operating Model comprising Governance, People, Process, Functions and Technology. This paper addresses changes to the Technology element - often referred to as "Digitalization". The paper includes a discussion about the business transformation strategy and case studies for addressing three of 18 functionalities identified in the first round of development. The InWell development strategy followed four steps; identification of performance issues, envisioning of a future operating model, identification of functionalities required/supporting this operating model and matching to digital solutions. Our case studies focus on three functionalities provided by three separate companies, Unification of Planning and Compliance, Real Time Data aggregation and Key Performance Indicators. Each functionality was addressed with an existing commercial application customized to meet specific requirements. A corporate web-based Well Construction Process (WCP) was initially piloted and then extended to include all well projects. The WCP identifies the key Tasks that must be completed per project, and these are all tracked. Data from this application is used by a third-party Business Analytics application via an API. Real time data from many sites and a wide range of sources was aggregated and standardized, Quality Controlled and stored within a private secure cloud. The data collation service is an essential building block for current third-party applications such as the operating centre and is a prerequisite for the goal of increased automation. A suite of Operator specific Key Performance Indicators (KPIs) and data analytics services were developed for drilling and completions. Homogenized KPIs for all business units provide data for objective performance management and apples-to-apples comparison. Results are presented via custom dashboards, reports, and integrations with third party applications to meet a wide range of requirements. During a four-month Pilot Phase the InWell Project delivered € 2.5 million in tangible savings through improvements in operational performance. In the first 12 months € 16 million in savings were attributed to InWell. By 2022 forecast savings are expected to exceed € 60 million (Figures 1 & 2). The value of Intangible benefits is thought to exceed these objective savings. Figure 1 The Business Case for InWell – Actual & Projected Savings and Costs. Figure 2 InWell Services addressing Value Levers and quantified potential impact. A multi-sourced digital strategy can produce quick gains, is easily adapted, and provides high value at low risk. The full benefit of digital transformation can only be realised when supported by an effective business operating model.


2014 ◽  
Vol 1 (2) ◽  
pp. 1-17 ◽  
Author(s):  
Hoda Ahmed Abdelhafez

The internet era creates new types of large and real-time data; much of those data are non-standard such as streaming and sensor-generated data. Advanced big data technologies enable organizations to extract insights from sophisticated data. Volume, variety and velocity represent big data challenges, which cause difficulties in capture, storage, search, sharing, analysis and visualization. Therefore, technologies like No-SQL, Hadoop and cloud computing used to extract value from large volumes and a wide variety of data to discover business needs. This article's goal is to focus on the challenges of big data and how the recent technologies can be used to address those issues, which are illustrated through real world case studies. The article also presents the lessons learned from these case studies.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
J. Ignacio Criado ◽  
Ariana Guevara-Gómez

Purpose This paper aims to study the results of open innovation initiatives in Spain under the lockdown during the first stages of the COVID-19 crisis. Based on the most recent literature on open innovation in the public sector, this paper explores the following research questions, namely, what are the key features of collaborative governance processes that guided open innovation initiatives in the Spanish public sector during the COVID-19 crises? How open public innovation cases generated public value to the society during the COVID-19 crises in Spain? Design/methodology/approach The study is based on two in-depth case studies of open innovation in the public sector: the collaborative platform Frena la Curva and the hackathon Vence al Virus, both launched during the first moments of the COVID-19 crisis. The methodology is based on 13 semi-structured interviews, content observation and documentary analysis. The data were interpreted according to the dimensions described in the analytical framework: descriptive dimensions of both initiatives but also their degree of elaboration, incentives and objectives, characteristics of governance and collaboration between actors and challenges for the accountability processes; and finally, their procedural legitimacy, considering the COVID-19 crisis context. Findings The results of the study show that citizens have played a key role during the hardest stage of the crisis, collaborating with governments and advancing their innovative capabilities, mostly in the digital sphere. The analysis also identified different outcomes, including the improvement of citizen’s involvement, deliberation practices or network building. Besides, this paper has identified some limitations and barriers to open innovation and collaborative governance processes in terms of accountability and legitimacy of these initiatives. Here, their contribution was constrained by the emerging stage of implementation and by the unique circumstances of the lockdown under the COVID-19 crisis. Research limitations/implications Future advancements of open innovation initiatives to consolidate collaborative governance processes will need further exploration. Although this paper diversified the contacts and the data collection in the fieldwork to avoid social biases, the results of the interviews might reflect very positive outcomes. Despite the case studies that took place during the COVID-19 crisis and their planned actions to maintain their existence, the post-crisis analysis will be needed to assess the impact of these open innovation cases in collaborative governance structures. Practical implications Open innovation is an emerging narrative and practice in the public sector requiring time and energy from public officials and managers. The study also highlighted the problem of how to legitimate open innovation cases in the public sector and the implications for their institutionalization. Public managers involved in these types of initiatives need to keep the momentum both inside and outside their organizations. Regarding the utilization of information and communications technologies (ICTs), open innovation processes do not need technology to develop their full potential, whereas the COVID-19 crisis and the ongoing digitalization of work settings, accessibility, etc., could transform ICTs into a critical tool for public managers leading innovation initiatives within their organizations. Social implications The social implications of this paper are manifold. This study provides evidence of one of the future avenues of public management: open innovation. New avenues for the involvement and collaboration of citizens with public authorities are another social implication pinpointed by this paper. Democratic legitimacy and procedural accountability are assessed using the open innovation case studies during the COVID-19 crisis. Finally, transforming governments using collaborative platforms deserves social oversight understanding if they really contribute to build trust in political institutions. Originality/value Despite their differences, both Frena la Curva and Vence al Virus demonstrated the potential and limitations of public innovation and collaborative governance to cope with an unprecedented crisis such as the COVID-19. The special features of this emergency, including the long period of confinement, posed challenges and also opportunities to develop these initiatives: as several interviewees stated, these projects helped to channel the civic energy to co-produce solutions in collaboration with a wide range of actors. Data allow us to identify the key features of collaborative governance that guided open innovation initiatives in the Spanish public sector during the COVID-19 crisis.


Author(s):  
Samuel Leong ◽  
Pamela Burnard ◽  
Neryl Jeanneret ◽  
Bo Wah Leung ◽  
Carole Waugh

This article presents six case studies from England, Australia, and Hong Kong, which illustrate the different ways creativity in music is defined and assessed by teachers and learners in various educational contexts. It considers the influence of educational policies on the assessment of musical creativity. It also examines the key features of music creativity assessment in order to draw parallels between various contexts. The article concludes with a discussion of the implications for classroom practice.


2020 ◽  
Vol 29 (4) ◽  
pp. 258-266
Author(s):  
Christian Pohl ◽  
BinBin Pearce ◽  
Marlene Mader ◽  
Lisette Senn ◽  
Pius Krütli

In the new Bachelor-level course Umweltproblemlösen (Tackling environmental problems), a part of ETH Zurich’s Environmental Sciences Bachelor’s programme, we teach students to zoom in on elements of practice (design thinking) and to zoom out on the whole system (systems thinking). Participants take stakeholders’ interests and needs into account and prepare possible measures, thus developing transformation knowledge and anticipating their future role as transdisciplinary sustainability scientists.Umweltproblemlösen (Tackling environmental problems) is a Bachelor-level course that carries on a long tradition of transdisciplinary (td) case studies in the Environ mental Sciences curriculum at ETH Zurich. Td case studies introduce students to key features of transdisciplinarity. Two corres ponding learning goals of the case studies are 1. to not only analyse problems, but to also suggest solutions, and 2. to take the complexity of the tackled socio-ecological system into account. In the new course we address both learning goals by integrating systems and design thinking. We present this approach in detail to show how features of transdisciplinarity are transferred to learning contexts. We compare it to the approaches of other td case studies by asking how each interprets and addresses the two learning goals. The comparison shows that the case study approaches implicitly impart different ideas about how a td environmental scientist should support societal problem solving. A key difference to previous approach es is that the new course asks students to enter deeply into the world of practice and the stakeholders’ divergent needs.


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