scholarly journals What Is a Research Core? A Primer on a Critical Component of the Research Enterprise

2021 ◽  
Author(s):  
Yuzhou Bai ◽  
Roger Schonfeld
Keyword(s):  
Business Models ◽  
State Of The Art ◽  
Academic Community ◽  
Critical Component ◽  
Academic Institutions ◽  
Services Research ◽  
University Campuses ◽  
Research Activities ◽  
Funding Research

As clusters of state-of-the-art instruments and research enablement services, research cores are not only the cornerstone of research activities at university campuses but also critical assets that provide competitive differentiation for their host institutions. However, these research cores are highly expensive for academic institutions to manage. Despite the growing recognition and impact of these research cores, there are few studies that describe the business models for sustaining and funding research cores or their increasing significance to the larger academic community.

scholarly journals Costs and Benefits of Autonomous Shipping—A Literature Review

2021 ◽  
Vol 11 (10) ◽  
pp. 4553
Author(s):  
Ewelina Ziajka-Poznańska ◽  
Jakub Montewka
Keyword(s):  
Literature Review ◽  
Business Models ◽  
Financial Models ◽  
State Of The Art ◽  
Costs And Benefits ◽  
Capital Costs ◽  
Research Activities ◽  
Benefit Estimation ◽  
Autonomous Ship ◽  
The Cost

The development of autonomous ship technology is currently in focus worldwide and the literature on this topic is growing. However, an in-depth cost and benefit estimation of such endeavours is in its infancy. With this systematic literature review, we present the state-of-the-art system regarding costs and benefits of the operation of prospective autonomous merchant ships with an objective for identifying contemporary research activities concerning an estimation of operating, voyage, and capital costs in prospective, autonomous shipping and vessel platooning. Additionally, the paper outlines research gaps and the need for more detailed business models for operating autonomous ships. Results reveal that valid financial models of autonomous shipping are lacking and there is significant uncertainty affecting the cost estimates, rendering only a reliable evaluation of specific case studies. The findings of this paper may be found relevant not only by academia, but also organisations considering to undertake a challenge of implementing Maritime Autonomous Surface Ships in their operations.

Editorial

2013 ◽  
Vol 1 (2) ◽  
pp. 1-3
Author(s):  
João José Pinto Ferreira ◽  
Anne-Laure Mention ◽  
Marko Torkkeli
Keyword(s):  
Economic Development ◽  
Education Research ◽  
Research And Development ◽  
Research Integrity ◽  
Academic Community ◽  
Human Knowledge ◽  
Academic Institutions ◽  
Current State ◽  
State Of Research ◽  
Successive Generations

The expansion of human knowledge in all areas is largely the outcome of the activity of academic institutions and the result of their mission to contribute to the cultural, intellectual and economic development of the society, involving education, research and university extension activities. For many years, the academic community has been organizing itself in all different ways to respond to current and future needs, ensuring research integrity and recognition, and building on successive generations of peers to validate and support the launching and development of novel research streams. We owe the current state of research and development of our society to generations of scholars and scientists that have brought all of us here.(...)

scholarly journals Tracking the Maturity of Industry 4.0: The Perspective of a Real Scenario

2021 ◽  
Author(s):  
Vítor Alcácer ◽  
Carolina Rodrigues ◽  
Helena Carvalho ◽  
Virgilio Cruz-Machado
Keyword(s):  
Empirical Data ◽  
Industry 4.0 ◽  
Business Models ◽  
New Technologies ◽  
Industrial Cluster ◽  
Academic Community ◽  
Enabling Technologies ◽  
Readiness Level ◽  
Different Dimensions ◽  
Real Scenario

Abstract In order to track industry 4.0 status, readiness models can be used to analyze the state of indus-try 4.0 technologies’ implementation allowing the quantification and qualification of its readiness level, focusing on different dimensions. To this matter, there are companies unable to relate the industry 4.0 with their business models, leading to a lack of a correct self-assess in order to understand the reached readiness level. Not all companies are adopting these new technologies with the same ease and with the same pace. Into this purpose, it is important to understand how to assess the industry 4.0’ readiness so far and what are the barriers on the adoption of these enabling technologies by the industry. This paper aims to assess the industry 4.0’ readiness level of companies, understand the perception of companies due to the barriers on the adoption of industry 4.0 enabling technologies and bring new barriers for discussion on academic community. To this end, empirical data was collected on a sample of 15 companies belonging to an important industrial cluster in Portugal.

scholarly journals SPARC Landscape Analysis: The Changing Academic Publishing Industry – Implications for Academic Institutions

2019 ◽  
Author(s):  
Claudio Aspesi ◽  
Nicole Starr Allen ◽  
Raym Crow ◽  
Shawn Daugherty ◽  
Heather Joseph ◽  
...  
Keyword(s):  
Publishing Industry ◽  
Critical Infrastructure ◽  
Academic Community ◽  
Landscape Analysis ◽  
Academic Publishing ◽  
Academic Institutions ◽  
Strategic Responses ◽  
Critical Juncture ◽  
Research And Education ◽  
Education Process

This landscape analysis was produced by SPARC in response to the growing trend of commercial acquisition of critical infrastructure in our institutions. It is intended to provide a comprehensive look at the current players in this arena, their strategies and potential actions, and the implications of these on the operations of our libraries and home institutions. It also outlines suggestions for an initial set of strategic responses for the community to evaluate in order to ensure it controls both this infrastructure and the data generated by/resident on it. We are at a critical juncture where there is a pressing need for the academic community – individually and collectively – to make thoughtful and deliberate decisions about what and whom to support – and under what terms and conditions. These decisions will determine who ultimately controls the research and education process; and whether we meaningfully address inequities created by legacy players or simply recreate them in new ways. These decisions will shape libraries’ role in the scholarly enterprise, now and for the future.

A Comprehensive Taxonomy of Dynamic Texture Representation

2023 ◽  
Vol 55 (1) ◽  
pp. 1-39
Author(s):  
Thanh Tuan Nguyen ◽  
Thanh Phuong Nguyen
Keyword(s):  
Large Scale ◽  
Environmental Changes ◽  
State Of The Art ◽  
The State ◽  
Future Research ◽  
Research Activities ◽  
Potential Applications ◽  
Benchmark Datasets ◽  
Negative Impacts ◽  
Made In

Representing dynamic textures (DTs) plays an important role in many real implementations in the computer vision community. Due to the turbulent and non-directional motions of DTs along with the negative impacts of different factors (e.g., environmental changes, noise, illumination, etc.), efficiently analyzing DTs has raised considerable challenges for the state-of-the-art approaches. For 20 years, many different techniques have been introduced to handle the above well-known issues for enhancing the performance. Those methods have shown valuable contributions, but the problems have been incompletely dealt with, particularly recognizing DTs on large-scale datasets. In this article, we present a comprehensive taxonomy of DT representation in order to purposefully give a thorough overview of the existing methods along with overall evaluations of their obtained performances. Accordingly, we arrange the methods into six canonical categories. Each of them is then taken in a brief presentation of its principal methodology stream and various related variants. The effectiveness levels of the state-of-the-art methods are then investigated and thoroughly discussed with respect to quantitative and qualitative evaluations in classifying DTs on benchmark datasets. Finally, we point out several potential applications and the remaining challenges that should be addressed in further directions. In comparison with two existing shallow DT surveys (i.e., the first one is out of date as it was made in 2005, while the newer one (published in 2016) is an inadequate overview), we believe that our proposed comprehensive taxonomy not only provides a better view of DT representation for the target readers but also stimulates future research activities.

scholarly journals E-publishing development and changes in the scholarly communication system

2007 ◽  
Vol 36 (1) ◽  
pp. 158-166 ◽  
Author(s):  
Patricia Nascimento Souto
Keyword(s):  
Open Access ◽  
Information And Communication Technologies ◽  
Communication System ◽  
Business Models ◽  
Scholarly Communication ◽  
Academic Community ◽  
Scientific Publishing ◽  
Trade Offs ◽  
Scholarly Communication System ◽  
Publishing Business

New and alternative scientific publishing business models is a reality driven mostly by the information and communication technologies, by the movements towards the recovery of control of the scientific communication activities by the academic community, and by the open access approaches. The hybrid business model, mixing open and toll-access is a reality and they will probably co-exist with respective trade-offs. This essay discusses the changes driven by the epublishing and the impacts on the scholarly communication system stakeholders' interrelationships (publishers-researchers, publishers-libraries and publishers-users interrelationships), and the changes on the scientific publishing business models, followed by a discussion of possible evolving business models. Whatever the model which evolves and dominates, a huge cultural change in authors' and institutions publishing practices will be necessary in order to make the open access happen and to consolidate the right business models for the traditional publishers. External changes such as policies, rewarding systems and institutions mandates should also happen in order to sustain the whole changing scenario.

Setting-to-Work a State-of-the-Art Solid Waste Characterisation Facility at JRC Ispra

2003 ◽  
Author(s):  
Ilpo Huhtiniemi ◽  
Massimo Anselmi ◽  
Gary Vassallo ◽  
Flaviano Bruno ◽  
Giulio Panini
Keyword(s):  
State Of The Art ◽  
Selection Process ◽  
Nuclear Research ◽  
Lessons Learned ◽  
Process Automation ◽  
Contractor Selection ◽  
Industrial Environment ◽  
Research Activities ◽  
Significant Interest ◽  
Waste Characterisation

This paper reviews the experience gained when setting-to-work a state-of-the-art waste characterisation facility that will be a fundamental element in the JRC’s strategy to characterise radioactive wastes originating from four decades of nuclear research activities conducted at the Ispra Site. In a previous paper at ICEM ’01, the authors described the specifications for the principal components of a Waste Characterisation System (WCS) and the ensuing contractor selection process via a public tendering procedure. The present paper has a broader perspective by addressing the whole waste characterisation facility of which the WCS forms a part. In the opening section, the main constituents of the facility are reviewed, and their optimised integration to respect emerging Italian standards, conventional safety principles, ALARA and operational efficiency, are discussed. The second part of the paper examines the analyses required for the licensing of the waste characterisation facility. Finally, the paper concludes with a summary of the lessons learned from the setting-to-work phase of the facility. Since the facility combines a state-of-the-art NDA solution with comprehensive process automation in an industrial environment, the experience is expected to be of significant interest to the radioactive waste management community.

Evolving the Materials Genome: How Machine Learning Is Fueling the Next Generation of Materials Discovery

2020 ◽  
Vol 50 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Changwon Suh ◽  
Clyde Fare ◽  
James A. Warren ◽  
Edward O. Pyzer-Knapp
Keyword(s):  
Machine Learning ◽  
Materials Science ◽  
State Of The Art ◽  
Learning Technologies ◽  
Machine Learning Algorithms ◽  
Data Driven ◽  
Computational Learning ◽  
Data Intensive ◽  
Research Activities ◽  
Materials Genome

Machine learning, applied to chemical and materials data, is transforming the field of materials discovery and design, yet significant work is still required to fully take advantage of machine learning algorithms, tools, and methods. Here, we review the accomplishments to date of the community and assess the maturity of state-of-the-art, data-intensive research activities that combine perspectives from materials science and chemistry. We focus on three major themes—learning to see, learning to estimate, and learning to search materials—to show how advanced computational learning technologies are rapidly and successfully used to solve materials and chemistry problems. Additionally, we discuss a clear path toward a future where data-driven approaches to materials discovery and design are standard practice.

scholarly journals Developing resilient graduates to be future workplace leaders

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nikki McQuillan ◽  
Christine Wightman ◽  
Cathy Moore ◽  
Una McMahon-Beattie ◽  
Heather Farley
Keyword(s):  
Higher Education ◽  
Professional Practice ◽  
Curriculum Design ◽  
Business Models ◽  
Academic Community ◽  
Key Factors ◽  
Content Type ◽  
Workplace Leaders ◽  
Innovative Curriculum ◽  
The Impact

PurposeVocational higher education and skills are recognised as key factors in shaping an economy to adapt to fast-emerging business models that disrupt workplace behaviours. Employers require graduates to be “work-ready”, emphasising the need to demonstrate resilience, as a critical desired behaviour (CBI, 2019). This case study shares the integrated curriculum design, co-creation and operationalisation of “Graduate Transitions” workshops that were piloted in a compulsory final-year module across a number of programmes in a higher education institutions’ business faculty to enhance graduates “work readiness”.Design/methodology/approachThe collaboration and leadership thinking of industry professionals, academics and career consultants designed and co-created a workshop that enhances transitioning student resilience and prepares them for their future of work. Action research gathered data using a mixed-methods approach to evaluate student and stakeholder feedback.FindingsEvidence indicates that the workshops actively embed practical coping strategies for resilience and mindful leaders in transitioning graduates. It assures employers that employability and professional practice competencies are experienced by transitioning graduates entering the future workplace.Research limitations/implicationsLimitations to this research are clearly in the methodology and concentrating on the co-creation of an innovative curriculum design project instead of the tools to accurately evaluate the impact in a systematic manner. There was also limited time and resource to design a more sophisticated platform to collect data and analyse it with the imperative academic rigour required. Emphasis on piloting and operationalisation of the intervention, due to time and resource restrictions, also challenged the methodological design.Practical implicationsThe positive feedback from these workshops facilitated integration into the curriculum at an institution-wide level. This paper shares with the academic community of practice, the pedagogy and active learning design that could be customised within their own institution as an intervention to positively influence the new metrics underpinning graduate outcomes.Originality/valueThis pioneering curriculum design ensures that employability and professional practice competencies are experienced by graduates transitioning to the workplace.

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