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August 6-10, 2018


University of Žilina, Slovakia

Thirteenth International Conference on Knowledge Management in Organisations

Theme: Emerging research for Knowledge Management in organisations


Important Dates

Submission of tutorial: 10th December, 2017
10th January, 2018
Submission of paper: 20th December, 2017
31st January, 2018
Author notification: 30th January, 2018
28th February, 2018
Early Registration: 10th April, 2018
Camera ready: 10th April 2018
Conference date: 6th August 2018

Previous KMO

KMO 2017, Beijing, China
KMO 2016, Hagen, Germany
KMO 2015, Maribor, Slovenia
KMO 2014, Santiago, Chile
KMO 2013, Kaohsiung, Taiwan
KMO 2012, Salamanca, Spain
KMO 2011, Tokyo, Japan
KMO 2010, Veszprém, Hungry
KMO 2009, Taipei, Taiwan
KMO 2008, Vaasa, Finland
KMO 2007, Lecce, Italy
KMO 2006, Maribor, Slovenia


The conference is preceded by one day of free tutorials for participants who wish to learn state of the art of research relating to the topics of KMO and LTEC. The tutorials will be held on the 6th August 2018. The conference itself commences on the 7th August, 2018.


In today’s intensely connected global economy knowledge management in organisations is an important business imperative. Knowledge Management (KM) involves the people, content, processes culture, and enabling technologies necessary to Capture, Share, Manage, and find information.” To effectively manage knowledge in organisations; there are many challenges that need to be addressed.


According to Albert Einstein, “Information is not knowledge. The only source of knowledge is experience.” Knowledge is the most valuable asset in any organisation today and it is advancing at a tremendous pace. There are many new trends in knowledge management for organisations. One aspect of this is that of cognitive knowledge. Cognitive technologies have helped us to redefine knowledge solutions.


Besides cognitive knowledge there are many other new trends such as the use of social media for Knowledge Management. KM systems are becoming more collaborative than ever, as seen in social intranet software, allowing individuals to work on documents and communicate with each other in real time. Employees in organisations need to access to organisation's knowledge management system (KMS) while they're on the go. Consequently, mobile technology and KM software will soon be inseparable.


Organisations need to regularly generate new content to keep pace with increasing demands for information. KM software now allows us to tag, share, and organise content as soon as we create it. Today, KM software allows for segmentation of information into multiple community spaces So that employees do not have to be overwhelmed with documentation that pertains to accounting or tech support.


It is important for KM to have a well designed user interface that allows users to leverage the system properly. KM systems should allow for external integration so that internal and external parties can share information more easily. Customization is essential to the success of KM systems. KM should become more customizable, allowing organisations to scale their solution to the organisation's growth.


In an economy based on highly specialised knowledge, collaboration is essential. What is critical now is a focus on fostering collaboration between individuals, teams, divisions, and organisations. Organisations must develop the skills and culture that enable high-value collaboration. Collaboration is not adequate; Trust is the most important determinant of knowledge sharing and transfer. There are many issues that must be addressed to enable trust and knowledge sharing. Culture has been identified as one of the most important factors that enables or impedes knowledge sharing and transfer. Other issues include: Organisational structure; Social relations; rewards and motivation; emotion; Information technology; Communication; top management support; social media and leadership etc.


Knowledge Management (KM) is also facing a challenging time with the advance of big data and Internet of Things (IOT) as well as cognitive learning. There is the issue of between innovation, technology and knowledge management It is not only limited to technology, but it is the integration of business strategy and process, organisational community and culture, expertise and technology. To do this requires that we look into the new emerging discipline of service science especially service dominant logic. Co-creation of value is essential to provide services and products that will provide value to users.


As we can see, effective implementation of Knowledge Management in organisations is challenging. There are still many research issues that need to be addressed. KMO 2018 conference aims to bring together leading academic researchers and research scholars to exchange and share their experiences and research from all aspects of Knowledge Management challenges. It also provides an interdisciplinary platform for researchers, practitioners and educators to present and discuss their most recent work, trends, innovation and concerns as well as practical challenges encountered and solutions adopted in the fields of Knowledge Management in organisations.


The conference welcomes contributions from researchers and scholars to contribute to original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Knowledge Management in organisations at the conference. The conference solicits contributions of full papers that address themes and topics of the conference. We are also interested in case studies that demonstrate how KM research strategies have been applied and the lessons learned. Case studies and work-in- progress/posters are welcomed. PhD Research, proposals for roundtable discussions, non-academic contributions and product demonstrations based on the main themes are also invited.


Research contributions from the above different aspects will enlighten industry on how to handle the various organisational and technical opportunities and challenges in knowledge management. KMO 2018 aims to encourage research into the various aspects of knowledge management to addresses many of the challenges facing organisations. The intent is to create a better understanding of knowledge management practices, research and practical applications. The conference will cover a broad set of research topics including, but not limited to, the following.


Call For Papers

Instructions for Authors

Papers reporting original and unpublished research results pertaining to the above topics are solicited (Proceedings will be published by Springer CCIS series). Full paper and all submissions deadline is 31st January, 2018. These papers will undergo an academic review process. Full paper manuscripts must be in English with a maximum length of 12 pages (using the Springer template). All papers are blind reviewed.


IMPORTANT: Please do not include the author(s) information in the FIRST submission of the paper, in order for double-blind review to be carried out. More information in Springer publication; please see: Communications in Computer and Information Science (CCIS).


Review Process

KMO 2018 welcomes the submission of papers with reference to the topics listed in the call for papers. All submitted papers will undergo a thorough review process; each paper will be refereed by at least three experts in the field, based on relevance, originality, significance, quality and clarity.


Submitting Papers

All papers must be formatted according to the Springer template, with a maximum length of 12 pages, including figures and references. All proposed papers must be submitted in electronic form (WORD format) using the Paper Submission Button.

You can find the guideline via


Submit Paper



Accepted papers will be included in KMO 2018 Proceedings. At least one of the authors will be required to register and attend the symposium to present the paper in order to include the paper in the conference proceedings. All accepted papers will be published by Springer Verlag (LECTURE NOTES in Communications in Computer and Information Science (CCIS).





Special Issue

Authors of selected papers will be invited to extend and revise their papers to be submitted to a special issue of International Journal of Web Engineering and Technology (IJWET) published by Inderscience.


Set of research topics

  • Dynamic Knowledge Integration and Visualization
  • Enterprise 2.0 Knowledge Management Development
  • Knowledge resource - intellectual capital
  • Knowledge Management Paradigm
  • Knowledge visualization for knowledge management and business modelling
  • KM for Healthcare
  • KM for Smart cities
  • Knowledge Representation and Reasoning
  • Knowledge discovery in databases
  • Knowledge engineering and management
  • Security and intrusion detection in KM
  • Ontology and knowledge representation
  • Tacit knowledge capture and dissemination
  • Knowledge creation and sharing mechanisms
  • Knowledge management strategies, resources and competencies
  • Methodology and best practices to implement big data driven KM
  • Application of knowledge representation techniques to semantic modelling
  • Measurement and evaluation of KM effectiveness
  • Knowledge Management in Practice
  • Change management, KM in business transformation
  • Case studies and best practices
  • KM in SME’s
  • Security and privacy issues
  • Semantic Integration
  • Knowledge Management Processes
  • Data Mining (store/discover/propagate)
  • Technologies for Knowledge Sharing
  • Cognitive knowledge
  • Social networks analysis
  • Algorithms for developing user profiles
  • Knowledge Management and supply chains
  • Benefits and Challenges in Adopting KM in the Public Sector
  • KM in Education
  • The role of KM in Tourism
  • KM and Sustainable Competitive Advantage
  • Social Networks Analysis
  • KM, HR and Organisational Culture
  • Social Networks Extraction and Construction
  • KM and Organisational Structures
  • Knowledge Management and Knowledge Networks
  • Value Creation through Knowledge
  • Transferring Critical Knowledge to Maintain Competitiveness
  • Best practices and communities of practice
  • Intellectual capital
  • Business Process Management
  • Requirements Engineering
  • Competitive and Business Intelligence
  • Social Media and Social Network Technologies
  • Social media analytics
  • Business forecasting
  • Knowledge management in innovative applications, such as healthcare information and network
  • security intelligence
  • Knowledge Creation
  • Organisational Memory
  • Big Data sharing Knowledge Analytics Framework and Architecture
  • Customer Knowledge in Innovation
  • Customer Knowledge Management
  • Managing Knowledge for Global and Collaborative Innovations
  • Co-production of Knowledge
  • Knowledge Management for Social Change and Innovation
  • The Impacts of Knowledge Management in the Organisation
  • E-government
  • Intelligent and Multi-agent Control Systems
  • Design of innovation spaces
  • Future centres
  • Smart cities
  • Challenges in knowledge and creative economics
  • Open innovation
  • Future universities
  • Societal innovation
  • Crowd sourcing
  • Knowledge innovation systems
  • Taxonomies and Ontologies
  • Legal and social aspects of knowledge and idea protection and diffusion
  • Innovative business models
  • Innovation and Knowledge
  • Innovation Management in the Public Sector Through KM
  • Re-thinking Knowledge Management
  • Innovative Processes and Models
  • Innovation in Education and Training
  • Practical examples of services innovation
  • Mobile Data Communications
  • KM Implementation Challenges and Opportunities
  • Knowledge Assets
  • Knowledge Measurement and Evaluation
  • Knowledge Sharing
  • Dynamic Knowledge Integration and Visualization
  • Knowledge Creation through Crowdsourcing
  • Social computing and knowledge management
  • Service Science
  • Management and Business Intelligence
  • Information security and knowledge protection
  • Web Services, Grid Services and Service-Oriented Computing
  • Knowledge Representation
  • Knowledge Evaluation
  • KM Tools and Techniques
  • Knowledge Quality Estimation and Uncertainty Handling
  • The Role of Semantic Web in Software and Service Development
  • Intelligent information systems
  • Modelling of service, industrial, and environmental processes
  • Predictive analytics
  • Semantic and Entity-Based Information Retrieval
  • Machine Learning for IR
  • Etc.
  • Big Data Computing for Knowledge Management
  • Mobile Data Communications
  • Business models on Big Data applications
  • Supply chain of big data and data products
  • Real-time data mining in mobile internet
  • Web 2.0 and Data Mining
  • Data and Knowledge Interoperability and Exchange
  • Semantic web data management
  • Large-scale network data analysis
  • Large data stream processing on cloud
  • Large incremental datasets on cloud
  • Open source real-time computing system for data mining
  • Security and privacy in Big Data
  • Knowledge Acquisition and Discovery (AI, Data Mining, Text and Web Mining
  • Knowledge Organisation (Meta Data, Taxonomies and Ontology)
  • Theoretical development of Big Data
  • Volume, velocity and variety of Big Data on cloud
  • Cloud computing, peer-to-peer, parallel and distributed databases
  • Big data and innovation
  • Data and Knowledge Modelling
  • Use Cases and Applications in Knowledge and Big Data analytics
  • Data mining theory, methods, and applications
  • Data warehousing and business intelligence
  • Big Data theory
  • Big data analytics
  • Big Data applications
  • Big Data processing tools
  • Big Data visualization
  • Big Data management
  • Big data and smart city
  • KM and Data Security
  • Case studies of big data mining applications for providing online customer support
  • Big data for knowledge management
  • Capture of big data for knowledge management
  • Big data and knowledge extraction
  • New algorithmic approaches to Big Data
  • Big data and knowledge sharing
  • Privacy Preserving Big Data Collection / Analytics
  • Big data on cloud
  • Big Data Computing for Knowledge Management
  • KM in the Cloud
  • Privacy preserving on cloud
  • Formal verification and model-checking for Internet of Things applications
  • Knowledge representation models in the Internet of Things
  • Business information processing and business models in the Internet of Things
  • Management information systems of the Internet of Things
  • Knowledge retrieving and sharing mechanisms in the Internet of Things
  • Integration of heterogeneous information for the Internet of Things
  • Reasoning algorithms for the knowledge systems in the Internet of Things
  • Knowledge representation models in the Internet of Things
  • Governance, Ethics and Trust in IoT and Big Data in KM
  • Software engineering in the Internet of Things
  • Service oriented computing in the Internet of Things
  • Mobile tracking services in the Internet of Things
  • Context Awareness in the Internet of Things
  • Enterprise knowledge management in the Internet of Things
  • Service oriented computing in the Internet of Things
  • Privacy protection and security issues of the Internet of Things
  • Intelligent applications of the Internet of Things
  • Technologies of data management and integration in the Internet of Things
  • Data Mining in the Internet of Things
  • Interoperability including Semantic interoperability in the Internet of Things
  • Business models for the Internet of Things
  • Development methodologies for IoT-based applications
  • IoT for health
  • Organisational semiotics
  • Testing, debugging, validation, and QoS modelling of Internet of Things applications

Call for Tutorials

Tutorial Proposal

Besides the main program, KMO 2018 will host a number of tutorials on the first day of the conference (6th, August, 2018). We invite proposals for tutorials for presentation at the conference.

Topics of Interest

Tutorials should address topics that fall in the general scope of KMO 2018 & LTEC 2018.

  • The topic must be a state of the art research topic with a clear focus on a specific problem, technology or application,
  • There should be a sufficiently large community interested in the topic.


Important dates

Submission of tutorial: 10th December, 2017
10th January, 2018
Submission of paper: 20th December, 2017
31st January, 2018
Author notification: 30th January, 2018
28th February, 2018
Early Registration: 10th April, 2018
Camera ready: 10th April 2018
Conference date: 6th August 2018

Submission Guidelines

Tutorial proposals should be submitted as a single PDF file of no more than 5 pages. Proposals should contain the following information:

  • Title of tutorial,
  • Abstract (200 words),
  • Description of topic and relevance to KMO or LTEC
  • Format of tutorial (1/2 day, 1 day),
  • Tutorial organizer(s) and their qualifications,
  • A brief discussion of why the topic is of particular interest at this time,
  • Overview of content, description of the aims, presentation style, potential/preferred prerequisite knowledge,
  • Required materials (e.g. will you need internet access, lab access, specific software installed?),
  • Intended audience and expected number of participants.

Data regarding the presenter(s) (name(s), affiliation, email address, homepage) and short description of their expertise, experience in teaching and tutorial presentation. Please submit proposals by E-mail (in PDF format) to


Benefits to the Tutorial Presenter

  • Free conference registration (including conference bag, proceedings, coffee breaks, lunch, conference banquet).
  • Free accommodation during the conference period.
  • Free airport transfer between airport and hotel.


Conference Chair

Professor Lorna Uden - Staffordshire University, UK

Program Chairs

Associate Professor Branislav Hadzima - University of Žilina, Slovakia

Professor I-Hsien Ting - National University of Kaohsiung, Taiwan

Program committee

  • Dr. Reinhard C. Bernsteiner - Management Center Innsbruck, Austria
  • Dr. Houn-Gee Chen - National Taiwan University, Taiwan
  • Dr. Paolo Ceravolo - Università degli Studi di Milano, Italy
  • Dr. Dario Liberona - Universidad Santa Maria, Chile
  • Dr. Derrick Ting - National University of Kaohsiung, Taiwan
  • Dr. Akira Kamoshida - Yokohama City University, Japan
  • Dr. Costas Vassilakis - University of the Peloponnese, Greece
  • Dr. Eric Kin-Wai Lau - City University, Hong Kong
  • Dr. G.R. Gangadharan - IDRBT, Hyderabad, India
  • Dr. George Karabatis - University of Maryland, Baltimore County, USA
  • Dr. Lorna Uden - Staffordshire University, UK
  • Dr. Luka Pavlič - University of Maribor, Slovenia
  • Dr. Marja Naaranoja - Vaasa University of Applied Sciences, Finland
  • Dr. Marjan Heričko - University of Maribor, Slovenia
  • Dr. Paul Horng-Jyh Wu - Singapore University of Social Sciences, Singapore
  • Dr. Remy Magnier-Watanabe - University of Tsukuba, Tokyo, Japan
  • Dr. Stefania Marrara - Consorzio C2T, Milano, Italy
  • Dr. Takao Terano - Tokyo Institute of Technology, Japan
  • Dr. Victor Hugo Medina Garcia - Universidad Distrital Francisco José de Caldas, Colombia
  • Dr. Wu He - Old Dominion University, USA
  • Dr. Whai-En Chen - National Ilan University, Taiwan
  • Dr. William Wang - University of Waikato, Hamilton, New Zealand
  • Dr. Yuri Zelenkov - School of Business Informatics, Higher School of Economics, Moscow, Russia
  • Dr. K. Chandrasekaran - National Institute of Technology Karnataka (NITK) Mangalore, India
  • Dr. Marta Silvia Tabares B - Universidad EAFIT, Medellín , Colombia
  • Dr. Ruben González Crespo - Universidad Internacional de La Rioja, Spain
  • Dr. GAN Keng Hoon - University Sains Malaysia, Malaysia
  • Dr. Stephan Schlögl - MCI Management Center Innsbruck,Austria
  • Dr. Tom Kwanya - The Technical University of Kenya,Kenya
  • Dr. Weigang Li - University of Brasilia, Brazil
  • Dr. Cristian Koliver - Federal University of Santa Catarina, Brazil
  • Dr. Dr Jari Kaivo-Oja - University of Turku. Finland
  • Dr. Ava Chen - National Kaohsiung First University of Science and Technology, Taiwan
  • Dr. Dao Ngoc Tien - Foreign Trade University, Vietnam
  • Dr. Lewlyn L.R. Rodrigues - Manipal University, Karnataka, India
  • Dr. Hércules Antonio do Prado - Catholic University of Brasília, Brazil
  • Dr. Christian Ploder - MCI Management Center Innsbruck, Austria
  • Dr. Vesa Tapani Nissinen - Finnish Defence Research Agency, Finland
  • Dr. G. Arumugam- Madurai Kamaraj University, India
  • Prof. Jianliang XU - Ocean University of China , Qingdao, China
  • Prof. Tatiana Kováčiková - University of Žilina, Slovakia
  • Assoc. Prof. Jakub Soviar - University of Žilina, Slovakia
  • Assoc. Prof. Viliam Lendel - University of Žilina, Slovakia
  • Assoc. Prof. Michal Zábovský - University of Žilina, Slovakia
  • Assoc. Prof. Róbert Hudec - University of Žilina, Slovakia
  • Assoc. Prof. Pavel Segeč - University of Žilina, Slovakia
  • Dr. Anna Závodská - University of Žilina, Slovakia
  • Dr. Mariusz Kostrzewski - Warsaw University of Technology, Poland
  • Dr. KAMOUN-CHOUK Souad - Manouba University, ESCT, LIGUE, Campus Universitaire Manouba, Tunisie
  • Dr. Sandeep Kumar - Faculty in Computer Science and Engineering Department, Indian Institute of Technology Roorkee, Uttarakhand, India
  • Dr. Iraklis Varlamis - Harokopio University of Athens, Greece

Local Chair

Dr. Anna Závodská - University of Žilina, Slovakia

Local committee

Dr. Veronika Šramová - University of Žilina, Slovakia

Ing. Lenka Mičechová - University of Žilina, Slovakia


  1. Please register via online form.
  2. After registration, we will send you an invoice via email.
  3. Pay the registration fee according the Information in the invoice.
  4. In case you need an official invitation letter for Visa purposes, please write an email to:

Register Now!

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Before April 15th


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Additional pages

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After April 15th


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In registration for KMO, the registration for collocated event LTEC is included.

  • Regular and student ticket includes everything: pre-conference tutorials, attendance to KMO and LTEC lectures, conference pack with proceedings, coffee breaks & refreshments, lunches for all three conference days and conference dinner, social events on Monday, Tuesday, Wednesday and Thursday. Post conference tour on Friday is not included.
  • A maximum of 12 pages per contribution is allowed. However, it is possible to extend the paper until 4 additional pages by paying an additional fee.
  • A registered person may present several contributions with one regular fee, but an additional charge is requested on publishing expenses.
  • Accompanying person will be charged extra 100€. For more information, please, contact Dr. Anna Zavodska:

Conference program

Available to download here.

Downloadfull schedule

Keynote Speakers

Dr. Jay Liebowitz

Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology, USA

The Synergy Between Knowledge Management and Analytics

This presentation will focus on two communities that should be working more closely together.  In this era of big data and analytics, knowledge management can play a key role in managing the governance of data and providing intuition-based decision making to complement data analytics.  Some suggestions for conceptual frameworks for integrating KM and analytics will be discussed, as well as ways to advance the integration between the two fields.  Last, some of our global Fulbright research on how well do executives trust their intuition will be highlighted.

Dr. Jay Liebowitz is the Distinguished Chair of Applied Business and Finance at Harrisburg University of Science and Technology. He previously was the Orkand Endowed Chair of Management and Technology in the Graduate School at the University of Maryland University College (UMUC).  He served as a Professor in the Carey Business School at Johns Hopkins University.  He was ranked one of the top 10 knowledge management researchers/practitioners out of 11,000 worldwide, and was ranked #2 in KM Strategy worldwide according to the January 2010 Journal of Knowledge Management. At Johns Hopkins University, he was the founding Program Director for the Graduate Certificate in Competitive Intelligence and the Capstone Director of the MS-Information and Telecommunications Systems for Business Program, where he engaged over 30 organizations in industry, government, and not-for-profits in capstone projects.
Prior to joining Hopkins, Dr. Liebowitz was the first Knowledge Management Officer at NASA Goddard Space Flight Center.  Before NASA, Dr. Liebowitz was the Robert W. Deutsch Distinguished Professor of Information Systems at the University of Maryland-Baltimore County, Professor of Management Science at George Washington University, and Chair of Artificial Intelligence at the U.S. Army War College.
Dr. Liebowitz is the Founding Editor-in-Chief of Expert Systems With Applications: An International Journal (published by Elsevier), which is ranked #1 worldwide for AI journals according to the h5 index of Google Scholar journal rankings (March 2017). ESWA was ranked third worldwide for OR/MS journals (out of 83 journals), according to the 2016 Thomson impact factors.  He is a Fulbright Scholar, IEEE-USA Federal Communications Commission Executive Fellow, and Computer Educator of the Year (International Association for Computer Information Systems).  He has published over 40 books and a myriad of journal articles on knowledge management, analytics, intelligent systems, and IT management.  His most recent books are Knowledge Retention: Strategies and Solutions (Taylor & Francis, 2009), Knowledge Management in Public Health (Taylor & Francis, 2010), Knowledge Management and E-Learning (Taylor & Francis, 2011), Beyond Knowledge Management: What Every Leader Should Know (Taylor & Francis, 2012), and Knowledge Management Handbook: Collaboration and Social Networking, 2nd ed. (Taylor & Francis, 2012), Big Data and Business Analytics (Taylor & Francis, 2013), Business Analytics: An Introduction (Taylor & Francis, January 2014), Bursting the Big Data Bubble: The Case for Intuition-Based Decision Making (Taylor & Francis, August 2014), A Guide to Publishing for Academics: Inside the Publish or Perish Phenomenon (Taylor & Francis, 2015), Successes and Failures of Knowledge Management (Morgan Kaufmann/Elsevier, 2016), and Actionable Intelligence in Healthcare (Taylor & Francis, 2017). Dr. Liebowitz served as the Editor-in-Chief of Procedia-CS (Elsevier). He is also the Series Book Editor of the new Data Analytics Applications book series (Taylor & Francis). In October 2011, the International Association for Computer Information Systems named the “Jay Liebowitz Outstanding Student Research Award” for the best student research paper at the IACIS Annual Conference. Dr. Liebowitz was the Fulbright Visiting Research Chair in Business at Queen’s University for the Summer 2017. He has lectured and consulted worldwide.

Dr. Costas Bekas

Distinguished Research Staff member, managing the Foundations of Cognitive Computing group at IBM Research-Zurich, Switzerland

Scalable Knowledge Ingestion

Cognitive Computing is the new frontier of the information age. Computers have evolved into indispensable tools of our modern societies, having modernized numerous aspects of our everyday lives. Computers have facilitated the acquisition, storage and access of huge amounts of data since the very first electronic general purpose machines of the 1940s. Since then, we learned how to program computers in order to allow uses that even the wildest imagination of computer pioneers of the 50s and 60s did not capture, such as the internet, social networks and simulations of nature of incredible fidelity. Cognitive computing turns our trusted programmable machines, into cognitive companions. The systems are not programmed to simply achieve a task, but rather they are developed to reason with us in ways that are natural for us. They can debate with us, test our ideas, as these are expressed in natural language, against incredible volumes of data and give us insights that ultimately free us and let us focus on and use our deepest of human capabilities: intuition and intelligence. Cognitive systems mimic the way we humans reason, allowing us to express in unstructured ways, such as speech and vision in order to achieve in a small fraction of the previously required time feats such as pharmaceuticals and materials discovery, attacking cancer, understand complex natural ecosystems as well as man-made ecosystems such as the economy and technology. Thus, scalable knowledge ingestion holds a central part for the success of Cognitive Computing. We will discuss the remarkable progress of cognitive computing and give a glimpse of what the future may look like.

Costas Bekas, Distinguished Research Staff member, is managing the Foundations of Cognitive Computing group at IBM Research-Zurich. He received B. Eng., Msc and PhD diplomas, all from the Computer Engineering & Informatics Department, University of Patras, Greece, in 1998, 2001 and 2003 respectively. Between 2003-2005, he worked as a postdoctoral associate with prof. Yousef Saad at the Computer Science & Engineering Department, University of Minnesota, USA. He has been with IBM since September 2005. Dr. Bekas' main research interests span cognitive computing, massive scale analytics and energy aware algorithms and architectures. Dr. Bekas is a recipient of the PRACE 2012 award and the ACM Gordon Bell 2013 and 2015 prizes.

Dr. Amanda Jefferies

Professor of Technology Enhanced Learning, School of Computer Science, University of Hertfordshire, UK

Learning technology: researching the student digital experience

This session will share outcomes from recent research into our university students’ digital experiences, exploring how this can nurture their own maturity into learning so they develop self-efficacy and confident transferable life-skills. It also offers a timely challenge for practitioners to consider what aspects of their own digital practice they can develop to nurture teaching and learning excellence.
The digital explosion of the early 21st century may have led many to believe that all the current university generation are confident digital users and learners. The myth of the ‘digital native’ (Prensky, 2001) has been very pervasive and it is hard to escape this misnomer for those currently expecting to attend university. Use of social media has prevailed for the ‘millennial’ generation in the past 10 years and smartphone ownership statistics indicate a very wide take-up among the target age group of university students and teenagers. Technology ownership does not however equate to high digital competence in the use of technology for learning nor do digital competence and confidence necessarily lead to a positive digital experience of learning for all. As one university student recently commented: ‘Don’t assume everyone understands the use of digital tools within learning, we all have different levels of access to digital tools and their uses.’ (Jisc Student tracker, 2017.
The 2017 Jisc ‘Student Digital Experience Tracker’ project recognised the need to research the actual student digital experience and from the outcomes to propose a variety of levels of skills-based support for our HE digital learners as a part of the curriculum and study opportunities in HE. Feedback from the 20,000+ participants from 74 UK and 10 international HE (and FE) institutions in the 2016-17 pilot survey run by Jisc, offered a mixed picture and gave us a fresh understanding of the technology they use and how they choose to learn with it. Overall there was a rather patchy use of digital activities by students with the initial report noting that ’despite evidence that technology-mediated active learning supports better educational outcomes, the full benefits of technology to support learning are not yet realised, with technology more commonly used for convenience rather than to support pedagogic practice’ (Jisc, 2017).
At a point almost two decades into the 21st century, emerging data from a follow-on Jisc study indicates that by and large students embrace the use of the digital environment because it helps them to develop as independent learners, but there is a handful who find that technology can distract them from learning. 82% of HE learners responding to the original Jisc survey agreed that digital skills would be important in the workplace after they had graduated, but only 50% agreed that their course prepared them for the digital workplace. There is clearly more work to be done to embed digital support and capabilities into the curriculum and to provide an excellent digital experience for forthcoming generations of students.

Dr Amanda Jefferies is Professor of Technology Enhanced Learning in the School of Computer Science at the University of Hertfordshire in the UK, where she leads the Technology Supported Learning Research group. Since 2007 she has directed, evaluated and disseminated several Jisc-supported UK projects for managing institutional change, researching the student experience of using technology for learning and introducing technology into HE institutions.
Her long-standing commitment and contribution to developing an excellent student experience in blending online and face to face engagement was recognised with her nomination by the university and the personal award of a UK National Teaching Fellowship in 2011.
Alongside invitations to speak and present her work in Europe, Canada, China and Australia she is a member of the Jisc Learning and Teaching Experts group; she was an advisor to the national Changing the Learning Landscape project and the 2014 and 2015 JISC Summer of Student Innovation projects and still enjoys the buzz from working with undergraduate students and seeing their understanding develop. Since 2017 she has been supporting the Jisc digital student tracker research project locally at her university, as well as advising on the national research outcomes.
She is currently leading the University of Hertfordshire’s work for the three-year Erasmus+ funded project, Online Proctoring for Remote Examinations (OP4RE 2016-2019) .

Tutorial Presenters

Dr. Mohanad Halaweh

Associate Professor in Information Systems at the Al Falah University, UAE

Tutorial title:
The Discount Focus Subgroup Method: a new innovative method for data, information and knowledge elicitation

This tutorial aims to demonstrate a new qualitative method called Discount Focus Subgroup (DFSG) which can be used for data/information/knowledge elicitation from large group of people. DFSG can be used as research method, or as technique for gathering systems requirements, or as a method for knowledge elicitation. This tutorial provides methodological guidance for its application using an example and group activity. It will show the situations in which the method can be employed. This tutorial will also demonstrate how DFSG is distinct from the existing traditional qualitative group-based methods and why is an innovative method. In addition to that, it highlights pitfalls/problems that might be encountered when applying this method, and offers some guidelines to avoid them. This method might be used by PhD students, researchers, professionals who seek new innovative ways to gather data/information/knowledge (through face-to-face direct interaction) in a smart and economic way.

Dr. Débora Nice Ferrari Barbosa

Proffesor at the Feevale University, Brazil

Tutorial title:
Learning practices using mobile and game-based learning with students in diseases’ situations

The use of mobile and game technologies potentiates the learning process. We have been working with an institution that helps children and teenagers undergoing onco-logical treatment in south of Brazil called AMO. We realized that their main difficulty is following school during and after the periods of hospitalization or low immunity. So, in this tutorial we present our experiences with the use of tablets and educational games developed with the goal of reinforcing curricular activities for children and teenagers undergoing oncological treatment. We aims to show the pedagogical prac-tices developed with the use of mobile and games technologies, which takes place every week at AMO. The subjects are children and teenagers who study in the 3rd and 6th year of primary school, whose activities aim at improving writing skills, read-ing and logical reasoning from the perspective of mobile learning. Therefore, this tutorial presents experiences on mobile devices and digital games in non-formal edu-cational settings based on the relation among different learning practices involving the use of mobile devices resources and digital games in educational processes. We also discuss the challenges about the use of mobile and games technologies in educational processes in Brazil, such as the selection, organization and planning of digital re-sources in the educational process.

Dr. Aida Kamišalić Latifić

Teaching Assistant and Researcher at the University of Maribor, Slovenia

Tutorial title:
The blockchain technology – application in the educational domain

The blockchain technology enables the creation of a decentralized and distributed environment in which transactions and data are not controlled by one central authority. Transactions are non-repudiative, safe, comprehensive and trustworthy, as they employ cryptographic principles. Every completed transaction is recorded and kept in a publicly available ledger in a verifiable, anonymized and durable manner. The proposed tutorial will give an overview of blockchain technology, its relevance and applicability. Additionally, in the scope of the tutorial the setup and use of specific blockchain platforms in practice will be demonstrated. An application in the educational domain (EduCTX initiative) will be presented.

Dr. Vesa Nissinen

Adjunct Professor at the University of Lapland

Tutorial title:
Deep leadership® in practice

Deep Leadership® is a leadership training and coaching program widely applied in Finnish governmental and business organizations since late 1990’s. It is based on the globally leading paradigm of transactional and transformational leadership.Transactional leadership is the most typical manifestation of leadership. It is based on command and reciprocal activity in which a leader approaches a subordinate in order to exchange something, like a salary for work. In transactional leadership it is essential that the leader attempts to achieve certain Transformational leadership is more complex and more effective. Authentic transformational leadership must be grounded in moral foundations. Its primary source of power is respect. Here a leader recognizes and exploits the needs and demands of other people. Furthermore, a transformational leader aims to recognize the motives of her/his subordinate, fulfill their needs at increasingly higher levels and thus make the subordinates commit themselves comprehensively. The result at best is a stimulating and constructive interactive relationship, in which the objectives of the leader and subordinates approach each other and in which leaders can become supporters and coaches of the professional growth of their subordinates. These leaders also set a good example of learning for their subordinates and therefore support all learning activities through their behavior. The leader as well as the subordinates share the path of human development: personal growth.


About University of Zilina


The history of the University of Žilina (UNIZA) began on 1 September 1953 when the University of Railway Transport was founded by separating from the Czech Technical University in Prague. It gradually became an important pillar of education in the fields of transport, which resulted in the change in the name to the University of Transport. It was moved to Žilina in 1960 where it underwent many transformations, and in 1980 it was renamed again to the University of Transport and Communications. Later in 1996, after broadening its fields of interest and other organisational changes, it was renamed the University of Žilina.


At present there are about 9,000 students being educated at seven faculties in 231 accredited fields of study in all forms and degrees of university studies at the University. In its over 65 years of successful existence it has become the alma mater for more than 70,000 graduates, highly skilled professionals specialising mostly in transport and technical fields as well as in management, marketing or humanities. The quality and readiness of our graduates for the needs of practice is proved by long-term high interest in hiring them by employers that cooperate with the University in the recruitment process.



University of Zilina
Univerzitna 1
010 26 Zilina

Identification Nr.: 00397563
VAT Nr.: SK 2020677824

About Slovakia


Slovakia is a unique country. Even in such a small area, you’ll find everything from natural treasures and historical monuments to rich folk culture and modern entertainment in the busy city streets. Enjoy the beauty and unique atmosphere that Slovakia has to offer. Explore its splendid natural scenery, rich history, culture, and traditions. Simply discover Slovakia: a conference in Slovakia is a good idea.


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Practical information for participants


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