scholarly journals A new model for identifying emerging technologies

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Stephanie F. Hughes
Keyword(s):  
Big Data ◽  
Emerging Technologies ◽  
Intelligence Community ◽  
Competitive Advantages ◽  
New Model ◽  
Emerging Trends ◽  
The Status ◽  
Search Speed ◽  
The Many ◽  
The Impact

Today, the complexity of so many emerging technologies requires anunderstanding of adjacent technologies often originating from multiple industries. Technology sequence analysis has been used by organizations, governments and industries to help make sense of the many variables impacting the evolution of technologies. This technique relies heavily on the input of experts who can offer perspectives on the status of current technologieswhile also highlighting the potential opportunities in the future. However, the volume and speed at which scientific research is accelerating is making it nearly impossible for even the most knowledgeable expert to stay current with research in their own industries. Today however, the use of big data search tools can help identify emerging trends around disruptive technologieswell before many of the experts have fully grasped the impact of these technologies. Despite the fear of many in the intelligence community that these tools will make their jobs obsolete, we expect that the value of the intelligence expert will increase given their unique knowledge of relevant data sources and how to connect the data in meaningful ways to derive value for the firm. We propose a new forecasting model that incorporates a combination of technologysequencing analysis and big data tools within the organization while also leveraging experts from across the open innovation spectrum. This new model, informed by current client engagements, has the potential to create significant competitive advantages for organizations as they benefit from expanded search breadth, search depth and search speed all while leveraging a range of internal and external experts to make sense of the rapidly changingtechnological landscape confronting their environment.

Youth welfare work

2018 ◽  
pp. 180-216
Author(s):  
Carole Holohan
Keyword(s):  
National Level ◽  
Youth Work ◽  
Welfare Work ◽  
Youth Welfare ◽  
The Status ◽  
The 1960S ◽  
The Many ◽  
Changing Attitudes ◽  
The Impact ◽  
International Strategies

Chapter five focuses on the development of youth welfare work, in particular the youth club, as a response to concerns that young people were not using their leisure time appropriately. Fred Powell, Martin Geoghegan, Margaret Scanlon and Katharina Swirak highlight how an international volunteer boom in the 1960s, and in the field of youth work in particular, in part reflected changing attitudes to youth and concerns about what seemed a disaffected generation. This chapter assesses developments in youth work at a local and national level, highlighting the impact of international strategies in this field and the tensions between the many players in the Irish scene. It attests to the ways in which external frameworks, emanating from supranational bodies such as the Council of Europe and the United Nations, reframed understandings of youth in the adult imagination and influenced how youth was perceived by voluntary and statutory organisations. It also highlights the ways in which some international ideas and models were embraced but others challenged the status quo, and therefore faced resistance.

Emerging Technologies and Organizational Transformation

2015 ◽  
pp. 20-34 ◽  
Author(s):  
Albena Antonova
Keyword(s):  
Business Models ◽  
Emerging Technologies ◽  
Organizational Transformation ◽  
Business Practices ◽  
Business Transformation ◽  
The Core ◽  
Emerging Trends ◽  
Business Changes ◽  
The Impact ◽  
Near Future

Technologies continue to evolve and to largely transform business practices. In the near future, a few technologies, such as Internet of Things (IoT), Augmented Reality (AR), additive manufacturing (3D printing), and robots, can substantially influence businesses. The reason to focus specifically on these technologies as leading factors for organizational change is twofold: first, there already exist many prototypes and pilot experiments; and second, these technologies have the potential to provoke substantial breakthroughs, leading to substantial business changes. The chapter proposes an overall vision about the impact of these four emerging technologies on business practices and how they will fuel substantial business transformation. The chapter starts with a short analysis how IT influences the core business models and value formation. Then, the authors present the state of the art in e-business technologies and current emerging trends. Finally, the authors propose a detailed overview and discussion of the newly emerging bridge technologies, illustrating with examples their role and economic potential.

Impact of Emerging Technologies on the Job Performance of Educators in Selected Tertiary Institutions in Nigeria

2020 ◽  
Vol 27 (1) ◽  
Author(s):  
MO Edeh ◽  
A Sharma ◽  
CE Nwafor ◽  
AG Fyneface ◽  
S Sen ◽  
...  
Keyword(s):  
Job Performance ◽  
Emerging Technologies ◽  
Tertiary Institutions ◽  
Communication Assessment ◽  
Content Development ◽  
Continued Education ◽  
Emerging Trends ◽  
E Learning ◽  
Learning Platforms ◽  
The Impact

The use of emerging technology tools, platforms and devices has become an integral part of education. This was evident during the recent Coronavirus pandemic lockdown of which many educators and students had to rely on the use of various technological devices, platforms and tools such as videoconferencing tools and e-learning platforms to aid continued education online. The study examines the impact of emerging technologies on the job performance of educators in selected tertiary institutions in Nigeria. Data were collected through structured questionnaires administered to 152 educators selected from five different tertiary institutions in Nigeria. The collected data were later analyzed using STATA/regression Analysis. The result shows that there was a significant improvement on the job performances of educators due to their usage of various emerging technologies. Most of the participants used emerging technologies for; content development and delivery, knowledge creation, communication, assessment, research, academic advising and professional development, all of which enhanced their efficiencies and productivity at work. Also, several factors such as; network and electricity issues were found to limit the use of emerging technologies by educators. The study concluded that emerging technologies are essential tools to improve educator’s efficiency and productivity, thus, there is need for all educators to always update their digital skills in line with the emerging trends in technology and education. Keywords: Emerging technologies, Educators, Job performance, Virtual reality, AI.

scholarly journals Biomarkers: Delivering on the expectation of molecularly driven, quantitative health

2017 ◽  
Vol 243 (3) ◽  
pp. 313-322 ◽  
Author(s):  
Jennifer L Wilson ◽  
Russ B Altman
Keyword(s):  
Precision Medicine ◽  
Human Disease ◽  
Biomarker Discovery ◽  
Disease Diagnosis ◽  
Full Potential ◽  
The Status ◽  
The Many ◽  
The Impact ◽  
The Internet Of Things ◽  
Precision Health

Biomarkers are the pillars of precision medicine and are delivering on expectations of molecular, quantitative health. These features have made clinical decisions more precise and personalized, but require a high bar for validation. Biomarkers have improved health outcomes in a few areas such as cancer, pharmacogenetics, and safety. Burgeoning big data research infrastructure, the internet of things, and increased patient participation will accelerate discovery in the many areas that have not yet realized the full potential of biomarkers for precision health. Here we review themes of biomarker discovery, current implementations of biomarkers for precision health, and future opportunities and challenges for biomarker discovery. Impact statement Precision medicine evolved because of the understanding that human disease is molecularly driven and is highly variable across patients. This understanding has made biomarkers, a diverse class of biological measurements, more relevant for disease diagnosis, monitoring, and selection of treatment strategy. Biomarkers’ impact on precision medicine can be seen in cancer, pharmacogenomics, and safety. The successes in these cases suggest many more applications for biomarkers and a greater impact for precision medicine across the spectrum of human disease. The authors assess the status of biomarker-guided medical practice by analyzing themes for biomarker discovery, reviewing the impact of these markers in the clinic, and highlight future and ongoing challenges for biomarker discovery. This work is timely and relevant, as the molecular, quantitative approach of precision medicine is spreading to many disease indications.

THE MORALISATION OF PREDICTIVITY IN THE AGE OF DATA-DRIVEN SURVEILLANCE

2020 ◽  
Author(s):  
Sun-ha Hong
Keyword(s):  
Emerging Technologies ◽  
Human Subjects ◽  
Rapid Expansion ◽  
Data Driven ◽  
Surveillance Systems ◽  
Public And Private ◽  
The Public ◽  
The Status ◽  
The Many ◽  
Machine Readable

This paper argues that emerging technologies of datafication are intensifying a moralisation of predictivity. On one hand, this describes the growing pressure to quantify and predict every kind of social problem. Reluctance to adopt emerging technologies of surveillance is construed as abdication of a moral responsibility via negligence to inevitable progress. On the other hand, it describes the corresponding demand that human subjects learn to live in more predictable and machine-readable ways, adapting to the flaws and ambiguities of imperfect technosystems. This argument echoes that of Joseph Weizenbaum (1976), a pioneer of early AI research and the inventor of the ELIZA chatbot: that well in advance of machines fully made in our image, it is the human subjects that are asked to render themselves more compatible and legible to those machines. Drawing from a book-length research project into the public presentation of surveillance technologies, I show how messy data, arbitrary classifications, and other uncertainties become fabricated into the status of reliable predictions. Specifically, the bulk of the presentation will examine the rapid expansion of counter-terrorist surveillance systems in 2010’s America. All in all, the moralisation of predictivity helps suture the many imperfections of data-driven surveillance, and provide justificatory cover for their breakneck expansion across the boundaries of public and private. They perpetuate the normative expectation that what can be predicted must be, and what needs to be predicted surely can be. In the process, spaces for human discretion, informal norms, and sensitivity to human circumstance are being squeezed out.

scholarly journals Interpreters as technologies of care and control?

Interpreting ◽  
2018 ◽  
Vol 20 (2) ◽  
pp. 259-284
Author(s):  
Rebecca Tipton
Keyword(s):  
Systematic Research ◽  
Suez Crisis ◽  
Communication Problems ◽  
National Archives ◽  
The Status ◽  
Post War ◽  
Set Up ◽  
The Many ◽  
And Control ◽  
The Impact

Abstract This article investigates aspects of intercultural communication in institutional interaction with refugees in Britain following the 1956 Hungarian uprising. Their arrival, against a backdrop of Cold War politics and the ongoing Suez crisis, constituted Britain’s first test as a signatory to the 1951 UN Convention on the Status of Refugees. While accounts of displaced persons in 20th century Britain mention communication problems, the impact of interpreters on the early phases of refugee reception can be better understood only through systematic research into their lived experiences and those of their interlocutors: this should include social attitudes and recruitment practices. The use of non-professional interpreters in the period concerned is examined in relation to the metaphor of the interpreter as a technology of care and control, which also serves as a broader critique of post-war refugee treatment in Britain. Contributing to the growing body of interpreting scholarship that explores the sociology of agents and structures in the translation process, the article focuses primarily on the actors concerned with translatorial activity in the many reception camps set up at that time. Artefacts from the National Archives and accounts from the field help identify institutional approaches to mass population displacement, and related discourses about (and by) interpreters.

Emerging Technologies and Organizational Transformation

2017 ◽  
pp. 1806-1821
Author(s):  
Albena Antonova
Keyword(s):  
Business Models ◽  
Emerging Technologies ◽  
Organizational Transformation ◽  
Business Practices ◽  
Business Transformation ◽  
The Core ◽  
Emerging Trends ◽  
Business Changes ◽  
The Impact ◽  
Near Future

Technologies continue to evolve and to largely transform business practices. In the near future, a few technologies, such as Internet of Things (IoT), Augmented Reality (AR), additive manufacturing (3D printing), and robots, can substantially influence businesses. The reason to focus specifically on these technologies as leading factors for organizational change is twofold: first, there already exist many prototypes and pilot experiments; and second, these technologies have the potential to provoke substantial breakthroughs, leading to substantial business changes. The chapter proposes an overall vision about the impact of these four emerging technologies on business practices and how they will fuel substantial business transformation. The chapter starts with a short analysis how IT influences the core business models and value formation. Then, the authors present the state of the art in e-business technologies and current emerging trends. Finally, the authors propose a detailed overview and discussion of the newly emerging bridge technologies, illustrating with examples their role and economic potential.

Emerging Technologies and Organizational Transformation

2017 ◽  
pp. 222-237
Author(s):  
Albena Antonova
Keyword(s):  
Business Models ◽  
Emerging Technologies ◽  
Organizational Transformation ◽  
Business Practices ◽  
Business Transformation ◽  
The Core ◽  
Emerging Trends ◽  
Business Changes ◽  
The Impact ◽  
Near Future

Technologies continue to evolve and to largely transform business practices. In the near future, a few technologies, such as Internet of Things (IoT), Augmented Reality (AR), additive manufacturing (3D printing), and robots, can substantially influence businesses. The reason to focus specifically on these technologies as leading factors for organizational change is twofold: first, there already exist many prototypes and pilot experiments; and second, these technologies have the potential to provoke substantial breakthroughs, leading to substantial business changes. The chapter proposes an overall vision about the impact of these four emerging technologies on business practices and how they will fuel substantial business transformation. The chapter starts with a short analysis how IT influences the core business models and value formation. Then, the authors present the state of the art in e-business technologies and current emerging trends. Finally, the authors propose a detailed overview and discussion of the newly emerging bridge technologies, illustrating with examples their role and economic potential.

scholarly journals Electricity as (Big) Data: Metering, spatiotemporal granularity and value

2018 ◽  
Vol 5 (1) ◽  
pp. 205395171875725 ◽  
Author(s):  
Mette Kragh-Furbo ◽  
Gordon Walker
Keyword(s):  
Big Data ◽  
Public Sector ◽  
Energy Demand ◽  
Electricity Use ◽  
Energy Governance ◽  
The Status ◽  
Data Infrastructures ◽  
Management Techniques ◽  
The Many ◽  
The Uk

Electricity is hidden within wires and networks only revealing its quantity and flow when metered. The making of its properties into data is therefore particularly important to the relations that are formed around electricity as a produced and managed phenomenon. We propose approaching all metering as a situated activity, a form of quantification work in which data is made and becomes mobile in particular spatial and temporal terms, enabling its entry into data infrastructures and schemes of evaluation and value production. We interrogate the transition from the pre-digital into the making of bigger, more spatiotemporally granular electricity data, through focusing on those actors selling and materialising new metering technologies, data infrastructures and services for larger businesses and public sector organisations in the UK. We examine the claims of truth and visibility that accompany these shifts and their enrolment into management techniques that serve to more precisely apportion responsibility for, and evaluate the status of, particular patterns and instances of electricity use. We argue that whilst through becoming Big Data electricity flow is now able to be known and given identity in significantly new terms, enabling new relations to be formed with the many heterogeneous entities implicated in making and managing energy demand, it is necessary to sustain some ambivalence as to the performative consequences that follow for energy governance. We consider the wider application of our conceptualisation of metering, reflecting on comparisons with the introduction of new metering systems in domestic settings and as part of other infrastructural networks.

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