scholarly journals An Overview of the 2021 NISO Plus Conference: Global connections and global conversations

2021 ◽  
pp. 1-37
Author(s):  
Bonnie Lawlor

This paper offers an overview of the highlights of the 2021 NISO Plus Annual Conference that was held virtually from February 22 – February 25, 2021. This was the second NISO Plus annual conference. The first one was held in 2020 and replaced what would have been the 62nd Annual NFAIS conference, but with the merger of NISO and NFAIS in June 2019 the conference was renamed NISO Plus and took on a new format. Little did they know that the second conference would have to be held virtually while the world was battling a global pandemic. The 2021 audience represented a 400% increase over the 2020 in-person attendance. There was no general theme, but there was a topic for everyone working in the information ecosystem - from the practical subjects of standards and metadata quality to preprints to information privacy and ultimately to the impact of Artificial Intelligence/Machine Learning on scholarly communication. With speakers from around the world and across time zones and continents, it was truly a global conversation!

Work ◽  
2020 ◽  
Vol 67 (3) ◽  
pp. 557-572
Author(s):  
Said Tkatek ◽  
Amine Belmzoukia ◽  
Said Nafai ◽  
Jaafar Abouchabaka ◽  
Youssef Ibnou-ratib

BACKGROUND: To combat COVID-19, curb the pandemic, and manage containment, governments around the world are turning to data collection and population monitoring for analysis and prediction. The massive data generated through the use of big data and artificial intelligence can play an important role in addressing this unprecedented global health and economic crisis. OBJECTIVES: The objective of this work is to develop an expert system that combines several solutions to combat COVID-19. The main solution is based on a new developed software called General Guide (GG) application. This expert system allows us to explore, monitor, forecast, and optimize the data collected in order to take an efficient decision to ensure the safety of citizens, forecast, and slow down the spread’s rate of COVID-19. It will also facilitate countries’ interventions and optimize resources. Moreover, other solutions can be integrated into this expert system, such as the automatic vehicle and passenger sanitizing system equipped with a thermal and smart High Definition (HD) cameras and multi-purpose drones which offer many services. All of these solutions will facilitate lifting COVID-19 restrictions and minimize the impact of this pandemic. METHODS: The methods used in this expert system will assist in designing and analyzing the model based on big data and artificial intelligence (machine learning). This can enhance countries’ abilities and tools in monitoring, combating, and predicting the spread of COVID-19. RESULTS: The results obtained by this prediction process and the use of the above mentioned solutions will help monitor, predict, generate indicators, and make operational decisions to stop the spread of COVID-19. CONCLUSIONS: This developed expert system can assist in stopping the spread of COVID-19 globally and putting the world back to work.


2021 ◽  
Vol 104 (2) ◽  
pp. 003685042110198
Author(s):  
Helen Onyeaka ◽  
Christian K Anumudu ◽  
Zainab T Al-Sharify ◽  
Esther Egele-Godswill ◽  
Paul Mbaegbu

COVID-19, caused by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), was declared a pandemic by the World Health Organization (WHO) on the 11th of March 2020, leading to some form of lockdown across almost all countries of the world. The extent of the global pandemic due to COVID-19 has a significant impact on our lives that must be studied carefully to combat it. This study highlights the impacts of the COVID-19 pandemic lockdown on crucial aspects of daily life globally, including; Food security, Global economy, Education, Tourism, hospitality, sports and leisure, Gender Relation, Domestic Violence/Abuse, Mental Health and Environmental air pollution through a systematic search of the literature. The COVID-19 global lockdown was initiated to stem the spread of the virus and ‘flatten the curve’ of the pandemic. However, the impact of the lockdown has had far-reaching effects in different strata of life, including; changes in the accessibility and structure of education delivery to students, food insecurity as a result of unavailability and fluctuation in prices, the depression of the global economy, increase in mental health challenges, wellbeing and quality of life amongst others. This review article highlights the impacts of the COVID-19 pandemic lockdown across the globe. As the global lockdown is being lifted in a phased manner in various countries of the world, it is necessary to explore its impacts to understand its consequences comprehensively. This will guide future decisions that will be made in a possible future wave of the COVID-19 pandemic or other global disease outbreak.


2021 ◽  
Vol 6 (20) ◽  
pp. 01-09
Author(s):  
Mark Louis ◽  
Angelina Anne Fernandez ◽  
Nazura Abdul Manap ◽  
Shamini Kandasamy ◽  
Sin Yee Lee

Information technology is taking the world by storm. The technological world is changing rapidly and drastically. Human activities are taken over by robots and computers. The usage of computers and robots has increased productivity in various sectors. The emergence of artificial intelligence has stirred up many debates on both its importance and limitations. Artificial intelligence is directed to the usage of Information Technology in conducting tasks that normally require human intelligence. The expectation of artificial intelligence is high, nevertheless, artificial intelligence has its shortcomings namely the impact of artificial intelligence on the concept of a legal personality. The problem with artificial Intelligence is the debate on whether does it have a legal personality? And another problem is under what situation does the law treat artificial intelligence as an entity with its own rights and obligations. The objective of this article is to examine the various definitions of legal personality and whether artificial intelligence can become a legal person. The article will also examine the criminal liability of artificial intelligence when a crime has been committed. The methodology adopted is qualitative namely Doctrinal Legal Research by analyzing the relevant legal views from various journals on artificial intelligence. The study found out that artificial intelligence has its limitations in defining its legal personality and also in examining the criminal liability when a crime has been committed by robots.


Author(s):  
Idris Olayiwola Ganiyu ◽  
Ola Olusegun Oyedele ◽  
Evelyn Derera

The Fourth Industrial Revolution has resulted in the disruption of the world of work whereby technological innovation such as artificial intelligence (AI) and robotics. These disruptions may be creative in that as some jobs are lost due to the development of artificial intelligence, new ones are created. This chapter explored the impact of disruptive technological innovations on the future of work. The skill gaps brought about by the emergence of the Fourth Industrial Revolution was also explored in this chapter.


Author(s):  
Clare Lade ◽  
Paul Strickland ◽  
Elspeth Frew ◽  
Paul Willard ◽  
Sandra Cherro Osorio ◽  
...  

This chapter examines the ways in which teaching and training in tourism, hospitality and events have evolved and adapted to the contemporary demands of academia and industry. It explores the development of education in tourism, hospitality and events, the contemporary factors which influence teaching and learning, and discusses the rise of Massive Open Online Courses with a particular focus on their potential application within tourism, hospitality and events curriculum. The chapter concludes by providing an overview of Open Badges and their importance in education. At the time of writing, the world has been confronted by the Covid-19 global pandemic which has caused great disruption at all levels. The impact of Covid-19 is briefly addressed in this chapter as the enforcement of social distancing measures has led to a significant increase globally in online education.


RMD Open ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. e001063 ◽  
Author(s):  
Berend Stoel

After decades of basic research with many setbacks, artificial intelligence (AI) has recently obtained significant breakthroughs, enabling computer programs to outperform human interpretation of medical images in very specific areas. After this shock wave that probably exceeds the impact of the first AI victory of defeating the world chess champion in 1997, some reflection may be appropriate on the consequences for clinical imaging in rheumatology. In this narrative review, a short explanation is given about the various AI techniques, including ‘deep learning’, and how these have been applied to rheumatological imaging, focussing on rheumatoid arthritis and systemic sclerosis as examples. By discussing the principle limitations of AI and deep learning, this review aims to give insight into possible future perspectives of AI applications in rheumatology.


2020 ◽  
pp. 32-38
Author(s):  
I. V. Goman ◽  
I. N. Shakhtarina

The article is devoted to the study of the impact global digitalization on the economy. The analysis of the development of technologies, including digital ones, and their impact on the world economy was carried out. Historical works describing possible changes in the mechanism of benefits distribution were studied. The main concerns related to digitalization, creation of artificial intelligence and global robotization were considered. Assumptions regarding possible development of the economy were made.


Author(s):  
Simon Checksfield

With increasing pressure on the limited taxonomical expertise in not only Commonwealth Scientific and Industry Research Organisation (CSIRO) but the world, new and innovative ways need to be found to assist in the curation and identification of biological specimens. CSIRO, through the National Research Collections Australia (NRCA) and Data 61 is hoping to begin a new program of work focused on using Artificial Intelligence (AI) and Machine Learning to build a framework and tools that can help identify a specimen from an image. The framework will include AI models that have been trained by expert taxonomists, thus providing a level of accuracy that has some intrinsic value. NRCA is also exploring how AI could be linked or cross referenced with another initiative using rapid genetic barcoding to identify all newly collected specimens. Combining genetic and AI determinations will add weight to each, and potentially expose some new AI challenges, such as identifying morphological elements against genomic elements. Whilst acknowledging challenges still exist regarding standards, acceptance of identification, provenance, accuracy and governance, the NRCA is hoping AI can assist in freeing the time of our researchers and technicians to work on more pressing and complex issues by reducing their time spent on basic identification. The impact of such a program will also reach into industry and the general public through tools based on the AI models. There is also an opportunity to use this initiative to create global centers of taxonomic expertise, which anyone can use to help identify a specimen.


2021 ◽  
Vol 10 (2) ◽  
pp. 13
Author(s):  
Ayse Begum Ersoy ◽  
Ziqi Cui

Since the coronavirus disease 2019(COVID-19) has had brought severe impact on all aspects of the world. A series of interpersonal distancing methods such as ensuring effective and safe social distancing among people, wearing masks, and traffic lockdown measures are also continuing to take effect to curb the continuing outbreak of the COVID-19 (“Advice for the public on COVID-19”, 2020). In response to the globally spread of COVID-19, many advanced technologies in the field of Artificial Intelligence (AI) were applied rapidly and played an essential role in the operation for several months. There are many different leading technology categories in the field of artificial intelligence and many different sub-categories within each main technology categories. Moreover, since the AGI technology does not yet reach the basic human intelligence level, this study will focus on the impact of service robots, which are already widely used in the NAI application category, on hospitality marketing in the current situation in China. In this paper the aim is to assess the effectiveness of use of service robots in Marketing Hospitality Industry during the pandemic through a quantitative study.


2021 ◽  
Vol 8 (8) ◽  
pp. 251-260
Author(s):  
Maryam Adli ◽  
Amama Saleem ◽  
Tamima Saleem ◽  
Hawa Adli ◽  
Maria Adli

The World Health Organization stated COVID-19 a global pandemic, it has quickly spread all over the world, posing immense health, environmental and social challenges to the global population. The coronavirus outbreak is critically interrupting the global trade and has shattered the core sustaining pillars of the modern world economies. Concerns have been raised about policy changes, enforcement actions, immigrant detention, and deportation practices during the outbreak. The impact of COVID-19 on these trends implies new dimensions for global governance and organizations. This article seeks to highlight Azerbaijan's problems in the context of the battle against a pandemic. Because a country's economy has been impacted, a comprehensive study may give a better understanding of the results, illuminating the areas that require more assistance and growth.


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