University Students’ Research on Artificial Intelligence and Knowledge Management. A Review and Report of Multi-case Studies

2021 ◽  
pp. 66-81
Author(s):  
Mieczysław L. Owoc ◽  
Paweł Weichbroth
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
University Students ◽  
Case Studies

Humanism and Music

2020 ◽  
Author(s):  
Christopher M. Driscoll
Keyword(s):  
Artificial Intelligence ◽  
Popular Culture ◽  
Popular Music ◽  
Case Studies ◽  
Contemporary Music ◽  
Theoretical Relationship ◽  
Rock Band ◽  
Historical Developments ◽  
The Relationship

This chapter explores the relationship between humanism and music, giving attention to important theoretical and historical developments, before focusing on four brief case studies rooted in popular culture. The first turns to rock band Modest Mouse as an example of music as a space of humanist expression. Next, the chapter explores Austin-based Rock band Quiet Company and Westcoast rapper Ras Kass and their use of music to critique religion. Last, the chapter discusses contemporary popular music created by artificial intelligence and considers what non-human production of music suggests about the category of the human and, resultantly, humanism. These case studies give attention to the historical and theoretical relationship between humanism and music, and they offer examples of that relationship as it plays out in contemporary music.

scholarly journals The 2011 Tohoku Tsunami from the Sky: A Review on the Evolution of Artificial Intelligence Methods for Damage Assessment

Geosciences ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 133
Author(s):  
Jérémie Sublime
Keyword(s):  
Artificial Intelligence ◽  
Case Studies ◽  
Damage Assessment ◽  
Structural Damage ◽  
North East ◽  
2011 Tohoku Tsunami ◽  
Artificial Intelligence Methods ◽  
The Future ◽  
Tohoku Tsunami

The Tohoku tsunami was a devastating event that struck North-East Japan in 2011 and remained in the memory of people worldwide. The amount of devastation was so great that it took years to achieve a proper assessment of the economical and structural damage, with the consequences still being felt today. However, this tsunami was also one of the first observed from the sky by modern satellites and aircrafts, thus providing a unique opportunity to exploit these data and train artificial intelligence methods that could help to better handle the aftermath of similar disasters in the future. This paper provides a review of how artificial intelligence methods applied to case studies about the Tohoku tsunami have evolved since 2011. We focus on more than 15 studies that are compared and evaluated in terms of the data they require, the methods used, their degree of automation, their metric performances, and their strengths and weaknesses.

Conceptualising a New Knowledge Management Logic Model for Global Health: A Case-Study Approach

2015 ◽  
Vol 14 (02) ◽  
pp. 1550015 ◽  
Author(s):  
Saori Ohkubo ◽  
Sarah V. Harlan ◽  
Naheed Ahmed ◽  
Ruwaida M. Salem
Keyword(s):  
Knowledge Management ◽  
Global Health ◽  
Case Studies ◽  
Health Professionals ◽  
Health Workers ◽  
Logic Model ◽  
Unique Contribution ◽  
Program Outcomes ◽  
New Knowledge ◽  
Health Field

Over the past few decades, knowledge management (KM) has become well-established in many fields, particularly in business. Several KM models have been at the forefront of promoting KM in businesses and organisations. However, the applicability of these traditional KM models to the global health field is limited by their focus on KM processes and activities with few linkages to intended outcomes. This paper presents the new Knowledge Management for Global Health (KM4GH) Logic Model, a practical tool that helps global health professionals plan ways in which resources and specific KM activities can work together to achieve desired health program outcomes. We test the validity of this model through three case studies of global and field-level health initiatives: an SMS-based mobile phone network among community health workers (CHWs) and their supervisors in Malawi, a global electronic Toolkits platform that provides health professionals access to health information resources, and a netbook-based eHealth pilot among CHWs and their clients in Bangladesh. The case studies demonstrate the flexibility of the KM4GH Logic Model in designing various KM activities while defining a common set of metrics to measure their outcomes, providing global health organisations with a tool to select the most appropriate KM activities to meet specific knowledge needs of an audience. The three levels of outcomes depicted in the model, which are grounded in behavioural theory, show the progression in the behaviour change process, or in this case, the knowledge use process, from raising awareness of and using the new knowledge to contributing to better health systems and behaviours of the public, and ultimately to improving the health status of communities and individuals. The KM4GH Logic Model makes a unique contribution to the global health field by helping health professionals plan KM activities with the end goal in mind.

The role of artificial intelligence in knowledge management

2000 ◽  
Vol 13 (5) ◽  
pp. 235-239 ◽  
Author(s):  
E Tsui ◽  
B.J Garner ◽  
S Staab
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management

The Algorithm of Case-Searching Based on AHP Application

2014 ◽  
Vol 513-517 ◽  
pp. 2416-2419
Author(s):  
Cai Xia Wang ◽  
Ning Liu
Keyword(s):  
Artificial Intelligence ◽  
Knowledge Management ◽  
Case Management ◽  
Critical Case ◽  
Case Analysis ◽  
Basic Function ◽  
Knowledge Management System ◽  
Teaching Case ◽  
Trained Teachers ◽  
Case Reasoning

The knowledge management system of teaching case corpus adopts case reasoning technology in the field of artificial intelligence. The whole system includes altogether ten modules. They are case uploading, case modification, case analysis, case algorithm and critical case management. The basic function is to assist the trained teachers to get the teaching case knowledge from other teachers, so as to develop teachersspecialty. In the module of case algorithm , in the application of the algorithm of case-searching based on AHP, the case needed by the users can be sorted out in an objective and fair way.

Knowledge Management: Case Studies in SMEs and Evaluation of an Integrated Approach

2005 ◽  
Vol 04 (02) ◽  
pp. 95-111 ◽  
Author(s):  
Kuan Yew Wong ◽  
Elaine Aspinwall
Keyword(s):  
Knowledge Management ◽  
Case Studies ◽  
Small And Medium Enterprises ◽  
Integrated Approach ◽  
Business Sector ◽  
Integrated Framework ◽  
Implementation Effort ◽  
Medium Enterprises ◽  
The Way

To date, very few publications have been found that describe how small and medium enterprises (SMEs) are adopting knowledge management (KM). The same is true concerning attempts to develop a framework to help them implement it. To redress this, this paper presents the results of four case studies conducted in UK SMEs to examine their KM implementation effort. In addition, a new integrated framework developed by the authors was evaluated to determine its applicability in this business sector. The methodology employed to conduct the studies is described and each of the cases is then presented. The results are analysed and key lessons or findings gathered from the companies are highlighted. Comments received from the companies with respect to the integrated framework were positive and favourable. It is hoped that the information accrued from the case studies, together with the integrated framework, will help to pave the way for SMEs to accomplish KM.

Sign in / Sign up

Export Citation Format

Share Document