2022
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| 110. | Boris Kovalerchuk; Kawa Nazemi; Răzvan Andonie; Nuno Datia; Ebad Banissi (Ed.) Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery Book SPRINGER NATURE, 2022, ISBN: 3030931188. @book{2022,
title = {Integrating Artificial Intelligence and Visualization for Visual Knowledge Discovery},
editor = {Boris Kovalerchuk and Kawa Nazemi and Răzvan Andonie and Nuno Datia and Ebad Banissi},
url = {https://link.springer.com/book/9783030931186, Springer Link},
isbn = {3030931188},
year = {2022},
date = {2022-01-01},
urldate = {2022-01-01},
publisher = {SPRINGER NATURE},
series = {Studies in Computational Intelligence},
abstract = {This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering "n-D glasses," where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain.
This book is a collection of 25 extended works of over 70 scholars presented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations.
The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes.},
key = {SP2022},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
This book is devoted to the emerging field of integrated visual knowledge discovery that combines advances in artificial intelligence/machine learning and visualization/visual analytic. A long-standing challenge of artificial intelligence (AI) and machine learning (ML) is explaining models to humans, especially for live-critical applications like health care. A model explanation is fundamentally human activity, not only an algorithmic one. As current deep learning studies demonstrate, it makes the paradigm based on the visual methods critically important to address this challenge. In general, visual approaches are critical for discovering explainable high-dimensional patterns in all types in high-dimensional data offering "n-D glasses," where preserving high-dimensional data properties and relations in visualizations is a major challenge. The current progress opens a fantastic opportunity in this domain.
This book is a collection of 25 extended works of over 70 scholars presented at AI and visual analytics related symposia at the recent International Information Visualization Conferences with the goal of moving this integration to the next level. The sections of this book cover integrated systems, supervised learning, unsupervised learning, optimization, and evaluation of visualizations.
The intended audience for this collection includes those developing and using emerging AI/machine learning and visualization methods. Scientists, practitioners, and students can find multiple examples of the current integration of AI/machine learning and visualization for visual knowledge discovery. The book provides a vision of future directions in this domain. New researchers will find here an inspiration to join the profession and to be involved for further development. Instructors in AI/ML and visualization classes can use it as a supplementary source in their undergraduate and graduate classes. |
2021
|
| 109. | Kawa Nazemi; Dirk Burkhardt; Alexander Kock Visual analytics for Technology and Innovation Management Journal Article In: Multimedia Tools and Applications, vol. 1198, 2021, ISSN: 1573-7721, (Springer Nature). @article{Nazemi2021,
title = {Visual analytics for Technology and Innovation Management},
author = {Kawa Nazemi and Dirk Burkhardt and Alexander Kock},
url = {https://link.springer.com/content/pdf/10.1007/s11042-021-10972-3.pdf, Open Access PDF},
doi = {10.1007/s11042-021-10972-3},
issn = {1573-7721},
year = {2021},
date = {2021-05-20},
urldate = {2021-05-20},
journal = {Multimedia Tools and Applications},
volume = {1198},
abstract = {The awareness of emerging trends is essential for strategic decision making because technological trends can affect a firm’s competitiveness and market position. The rise of artificial intelligence methods allows gathering new insights and may support these decision-making processes. However, it is essential to keep the human in the loop of these complex analytical tasks, which, often lack an appropriate interaction design. Including special interactive designs for technology and innovation management is therefore essential for successfully analyzing emerging trends and using this information for strategic decision making. A combination of information visualization, trend mining and interaction design can support human users to explore, detect, and identify such trends. This paper enhances and extends a previously published first approach for integrating, enriching, mining, analyzing, identifying, and visualizing emerging trends for technology and innovation management. We introduce a novel interaction design by investigating the main ideas from technology and innovation management and enable a more appropriate interaction approach for technology foresight and innovation detection.},
note = {Springer Nature},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The awareness of emerging trends is essential for strategic decision making because technological trends can affect a firm’s competitiveness and market position. The rise of artificial intelligence methods allows gathering new insights and may support these decision-making processes. However, it is essential to keep the human in the loop of these complex analytical tasks, which, often lack an appropriate interaction design. Including special interactive designs for technology and innovation management is therefore essential for successfully analyzing emerging trends and using this information for strategic decision making. A combination of information visualization, trend mining and interaction design can support human users to explore, detect, and identify such trends. This paper enhances and extends a previously published first approach for integrating, enriching, mining, analyzing, identifying, and visualizing emerging trends for technology and innovation management. We introduce a novel interaction design by investigating the main ideas from technology and innovation management and enable a more appropriate interaction approach for technology foresight and innovation detection. |
| 108. | Midhad Blazevic; Lennart B. Sina; Dirk Burkhardt; Melanie Siegel; Kawa Nazemi Visual Analytics and Similarity Search - Interest-based Similarity Search in Scientific Data Proceedings Article In: 2021 25th International Conference Information Visualisation (IV), pp. 211-217, IEEE, 2021. @inproceedings{9582711,
title = {Visual Analytics and Similarity Search - Interest-based Similarity Search in Scientific Data},
author = {Midhad Blazevic and Lennart B. Sina and Dirk Burkhardt and Melanie Siegel and Kawa Nazemi},
url = {https://ieeexplore.ieee.org/document/9582711, IEEE Xplore},
doi = {10.1109/IV53921.2021.00041},
year = {2021},
date = {2021-03-01},
urldate = {2021-03-01},
booktitle = {2021 25th International Conference Information Visualisation (IV)},
pages = {211-217},
publisher = {IEEE},
abstract = {Visual Analytics enables solving complex analytical tasks by coupling interactive visualizations and machine learning approaches. Besides the analytical reasoning enabled through Visual Analytics, the exploration of data plays an essential role. The exploration process can be supported through similarity-based approaches that enable finding similar data to those annotated in the context of visual exploration. We propose in this paper a process of annotation in the context of exploration that leads to labeled vectors-of-interest and enables finding similar publications based on interest vectors. The generation and labeling of the interest vectors are performed automatically by the Visual Analytics system and lead to finding similar papers and categorizing the annotated papers. With this approach, we provide a categorized similarity search based on an automatically labeled interest matrix in Visual Analytics.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Visual Analytics enables solving complex analytical tasks by coupling interactive visualizations and machine learning approaches. Besides the analytical reasoning enabled through Visual Analytics, the exploration of data plays an essential role. The exploration process can be supported through similarity-based approaches that enable finding similar data to those annotated in the context of visual exploration. We propose in this paper a process of annotation in the context of exploration that leads to labeled vectors-of-interest and enables finding similar publications based on interest vectors. The generation and labeling of the interest vectors are performed automatically by the Visual Analytics system and lead to finding similar papers and categorizing the annotated papers. With this approach, we provide a categorized similarity search based on an automatically labeled interest matrix in Visual Analytics. |
| 107. | Mina Schütz; Alexander Schindler; Melanie Siegel; Kawa Nazemi Automatic Fake News Detection with Pre-trained Transformer Models Proceedings Article In: Alberto Del Bimbo; Rita Cucchiara; Stan Sclaroff; Giovanni Maria Farinella; Tao Mei; Marco Bertini; Hugo Jair Escalante; Roberto Vezzani (Ed.): Pattern Recognition. ICPR International Workshops and Challenges, pp. 627–641, Springer International Publishing, Cham, 2021, ISBN: 978-3-030-68787-8. @inproceedings{10.1007/978-3-030-68787-8_45,
title = {Automatic Fake News Detection with Pre-trained Transformer Models},
author = {Mina Schütz and Alexander Schindler and Melanie Siegel and Kawa Nazemi},
editor = {Alberto Del Bimbo and Rita Cucchiara and Stan Sclaroff and Giovanni Maria Farinella and Tao Mei and Marco Bertini and Hugo Jair Escalante and Roberto Vezzani},
url = {https://link.springer.com/chapter/10.1007/978-3-030-68787-8_45, Full PDF},
doi = {10.1007/978-3-030-68787-8_45},
isbn = {978-3-030-68787-8},
year = {2021},
date = {2021-02-21},
booktitle = {Pattern Recognition. ICPR International Workshops and Challenges},
pages = {627--641},
publisher = {Springer International Publishing},
address = {Cham},
abstract = {The automatic detection of disinformation and misinformation has gained attention during the last years, since fake news has a critical impact on democracy, society, and journalism and digital literacy. In this paper, we present a binary content-based classification approach for detecting fake news automatically, with several recently published pre-trained language models based on the Transformer architecture. The experiments were conducted on the FakeNewsNet dataset with XLNet, BERT, RoBERTa, DistilBERT, and ALBERT and various combinations of hyperparameters. Different preprocessing steps were carried out with only using the body text, the titles and a concatenation of both. It is concluded that Transformers are a promising approach to detect fake news, since they achieve notable results, even without using a large dataset. Our main contribution is the enhancement of fake news' detection accuracy through different models and parametrizations with a reproducible result examination through the conducted experiments. The evaluation shows that already short texts are enough to attain 85% accuracy on the test set. Using the body text and a concatenation of both reach up to 87% accuracy. Lastly, we show that various preprocessing steps, such as removing outliers, do not have a significant impact on the models prediction output.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The automatic detection of disinformation and misinformation has gained attention during the last years, since fake news has a critical impact on democracy, society, and journalism and digital literacy. In this paper, we present a binary content-based classification approach for detecting fake news automatically, with several recently published pre-trained language models based on the Transformer architecture. The experiments were conducted on the FakeNewsNet dataset with XLNet, BERT, RoBERTa, DistilBERT, and ALBERT and various combinations of hyperparameters. Different preprocessing steps were carried out with only using the body text, the titles and a concatenation of both. It is concluded that Transformers are a promising approach to detect fake news, since they achieve notable results, even without using a large dataset. Our main contribution is the enhancement of fake news' detection accuracy through different models and parametrizations with a reproducible result examination through the conducted experiments. The evaluation shows that already short texts are enough to attain 85% accuracy on the test set. Using the body text and a concatenation of both reach up to 87% accuracy. Lastly, we show that various preprocessing steps, such as removing outliers, do not have a significant impact on the models prediction output. |
| 106. | Lennart Sina; Dirk Burkhardt; Kawa Nazemi Visual Dashboards in Trend Analytics to Observe Competitors and Leading Domain Experts Proceedings Article In: Haithem Afli; Udo Bleimann; Dirk Burkhardt; Robert Loew; Stefanie Regier; Ingo Stengel; Haiying Wang; Huiru (Jane) Zheng (Ed.): Proceedings of the 6th Collaborative European Research Conference (CERC 2020), pp. 222-235, CEUR-WS.org, Aachen, Germany, 2021, ISSN: 1613-0073, (urn:nbn:de:0074-2815-0). @inproceedings{Sina2021,
title = {Visual Dashboards in Trend Analytics to Observe Competitors and Leading Domain Experts},
author = {Lennart Sina and Dirk Burkhardt and Kawa Nazemi},
editor = {Haithem Afli and Udo Bleimann and Dirk Burkhardt and Robert Loew and Stefanie Regier and Ingo Stengel and Haiying Wang and Huiru (Jane) Zheng},
url = {http://ceur-ws.org/Vol-2815/CERC2020_paper14.pdf, Paper on CEUR-WS, Full PDF},
issn = {1613-0073},
year = {2021},
date = {2021-02-17},
booktitle = {Proceedings of the 6th Collaborative European Research Conference (CERC 2020)},
volume = {Vol. 2815},
pages = {222-235},
publisher = {CEUR-WS.org},
address = {Aachen, Germany},
series = {CEUR Workshop Proceedings},
abstract = {The rapid change due to digitalization challenge a variety of market players and force them to find strategies to be aware of developments in these markets, particularly those that impact their business. The main challenge is what a practical solution could look like and how technology can support market players in these trend observation tasks. The paper outlines therefore a technological solution to observe specific authors e.g. researchers who influence a certain market or engineers of competitors. In many branches both are well-known groups to market players and there is almost always the need of a technology that supports the topical observation. This paper focuses on the concept of how a visual dashboard could enable a market observation and how data must be processed for it and its prototypical implementation which enables an evaluation later. Furthermore, the definition of a principal technological analysis for innovation and technology management is created and is also an important contribution to the scientific community that specifically considers the technology perspective and its corresponding requirements.},
note = {urn:nbn:de:0074-2815-0},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The rapid change due to digitalization challenge a variety of market players and force them to find strategies to be aware of developments in these markets, particularly those that impact their business. The main challenge is what a practical solution could look like and how technology can support market players in these trend observation tasks. The paper outlines therefore a technological solution to observe specific authors e.g. researchers who influence a certain market or engineers of competitors. In many branches both are well-known groups to market players and there is almost always the need of a technology that supports the topical observation. This paper focuses on the concept of how a visual dashboard could enable a market observation and how data must be processed for it and its prototypical implementation which enables an evaluation later. Furthermore, the definition of a principal technological analysis for innovation and technology management is created and is also an important contribution to the scientific community that specifically considers the technology perspective and its corresponding requirements. |
| 105. | Kawa Nazemi; Lukas Kaupp; Dirk Burkhardt; Nicola Below Datenvisualisierung Book Chapter In: Jana Neumann Heike Neuroth Markus Putnings (Ed.): Praxishandbuch Forschungsdatenmanagement, Chapter 5.4, pp. 477–502, De Gruyter, 2021, ISBN: 978-3-11-065365-6. @inbook{Nazemi2021a,
title = {Datenvisualisierung},
author = {Kawa Nazemi and Lukas Kaupp and Dirk Burkhardt and Nicola Below},
editor = {Jana Neumann Heike Neuroth Markus Putnings},
url = {https://doi.org/10.1515/9783110657807-026, Fulltext (open access)},
doi = {10.1515/9783110657807-026},
isbn = {978-3-11-065365-6},
year = {2021},
date = {2021-01-18},
booktitle = {Praxishandbuch Forschungsdatenmanagement},
pages = {477--502},
publisher = {De Gruyter},
chapter = {5.4},
abstract = {Die visuelle Projektion von heterogenen (z. B. Forschungs-)Daten auf einer 2-dimensionalen Fläche, wie etwa einem Bildschirm, wird als Datenvisualisierung bezeichnet. Datenvisualisierung ist ein Oberbegriff für verschiedene Arten der visuellen Projektion. In diesem Kapitel wird zunächst der Begriff definiert und abgegrenzt. Der Fokus des Kapitels liegt auf Informationsvisualisierung und Visual Analytics. In diesem Kontext wird der Prozess der visuellen Transformation vorgestellt. Es soll als Grundlage für eine wissenschaftlich valide Generierung von Visualisierungen dienen, die auch visuelle Aufgaben umfassen. Anwendungsszenarien stellen den Mehrwert der hier vorgestellten Konzepte in der Praxis vor. Der wissenschaftliche Beitrag liegt in einer formalen Definition des visuellen Mappings.},
keywords = {},
pubstate = {published},
tppubtype = {inbook}
}
Die visuelle Projektion von heterogenen (z. B. Forschungs-)Daten auf einer 2-dimensionalen Fläche, wie etwa einem Bildschirm, wird als Datenvisualisierung bezeichnet. Datenvisualisierung ist ein Oberbegriff für verschiedene Arten der visuellen Projektion. In diesem Kapitel wird zunächst der Begriff definiert und abgegrenzt. Der Fokus des Kapitels liegt auf Informationsvisualisierung und Visual Analytics. In diesem Kontext wird der Prozess der visuellen Transformation vorgestellt. Es soll als Grundlage für eine wissenschaftlich valide Generierung von Visualisierungen dienen, die auch visuelle Aufgaben umfassen. Anwendungsszenarien stellen den Mehrwert der hier vorgestellten Konzepte in der Praxis vor. Der wissenschaftliche Beitrag liegt in einer formalen Definition des visuellen Mappings. |
| 104. | Lukas Kaupp; Heiko Webert; Kawa Nazemi; Bernhard Humm; Stephan Simons CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory Journal Article In: Procedia Computer Science, vol. 180, pp. 492-501, 2021, ISSN: 1877-0509, (Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020)). @article{KAUPP2021492,
title = {CONTEXT: An Industry 4.0 Dataset of Contextual Faults in a Smart Factory},
author = {Lukas Kaupp and Heiko Webert and Kawa Nazemi and Bernhard Humm and Stephan Simons},
url = {https://www.sciencedirect.com/science/article/pii/S1877050921003148},
doi = {https://doi.org/10.1016/j.procs.2021.01.265},
issn = {1877-0509},
year = {2021},
date = {2021-01-01},
journal = {Procedia Computer Science},
volume = {180},
pages = {492-501},
abstract = {Cyber-physical systems in smart factories get more and more integrated and interconnected. Industry 4.0 accelerates this trend even further. Through the broad interconnectivity a new class of faults arise, the contextual faults, where contextual knowledge is needed to find the underlying reason. Fully-automated systems and the production line in a smart factory form a complex environment making the fault diagnosis non-trivial. Along with a dataset, we give a first definition of contextual faults in the smart factory and name initial use cases. Additionally, the dataset encompasses all the data recorded in a current state-of-the-art smart factory. We also add additional information measured by our developed sensing units to enrich the smart factory data even further. In the end, we show a first approach to detect the contextual faults in a manual preliminary analysis of the recorded log data.},
note = {Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Cyber-physical systems in smart factories get more and more integrated and interconnected. Industry 4.0 accelerates this trend even further. Through the broad interconnectivity a new class of faults arise, the contextual faults, where contextual knowledge is needed to find the underlying reason. Fully-automated systems and the production line in a smart factory form a complex environment making the fault diagnosis non-trivial. Along with a dataset, we give a first definition of contextual faults in the smart factory and name initial use cases. Additionally, the dataset encompasses all the data recorded in a current state-of-the-art smart factory. We also add additional information measured by our developed sensing units to enrich the smart factory data even further. In the end, we show a first approach to detect the contextual faults in a manual preliminary analysis of the recorded log data. |
| 103. | K. Hamidi; A. Brüchner Reforming Journalism Education on a Tertiary Level in Afghanistan: recommendations for a Dual Education Model: Global Media Journal - German Edition, vol. 10(2020), no. 2 Journal Article In: 2021. @article{Hamidi.2021,
title = {Reforming Journalism Education on a Tertiary Level in Afghanistan: recommendations for a Dual Education Model: Global Media Journal - German Edition, vol. 10(2020), no. 2},
author = {K. Hamidi and A. Brüchner},
doi = {10.22032/dbt.47741},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
abstract = {The importance of journalism's role in society is beyond debate. Particularly in so-called fragile states, the social responsibility of media and journalism cannot be denied. Journalism education must account for the high level of skills required by journalists, and the `mediation' function of journalists in fragile states should be conceptualised. Responding to dynamic developments in the Afghan media landscape and the resulting need for high-quality journalism education, this article proposes a reform model for journalism education on a tertiary level in Afghanistan. Based on research as well as a needs and feasibility assessment following the participatory action research (PAR) approach, target models and an implementation plan for educational reform were developed. This provides a potential blueprint for reforms in journalism education in fragile states, which considers social and cultural values and interests in the local context while drawing on the perspective of the outsider. This article presents the results of a project entitled ``Professionalisation of Journalism Education on a Tertiary Level in Afghanistan'', which resulted in a manual. The importance of journalism's role in society is beyond debate. Particularly in so-called fragile states, the social responsibility of media and journalism cannot be denied. Journalism education must account for the high level of skills required by journalists, and the `mediation' function of journalists in fragile states should be conceptualised. Responding to dynamic developments in the Afghan media landscape and the resulting need for high-quality journalism education, this article proposes a reform model for journalism education on a tertiary level in Afghanistan. Based on research as well as a needs and feasibility assessment following the participatory action research (PAR) approach, target models and an implementation plan for educational reform were developed. This provides a potential blueprint for reforms in journalism education in fragile states, which considers social and cultural values and interests in the local context while drawing on the perspective of the outsider. This article presents the results of a project entitled ``Professionalisation of Journalism Education on a Tertiary Level in Afghanistan'', which resulted in a manual. // The importance of journalism's role in society is beyond debate. Particularly in so-called fragile states, the social responsibility of media and journalism cannot be denied. Journalism education must account for the high level of skills required by journalists, and the `mediation' function of journalists in fragile states should be conceptualised. Responding to dynamic developments in the Afghan media landscape and the resulting need for high-quality journalism education, this article proposes a reform model for journalism education on a tertiary level in Afghanistan. Based on research as well as a needs and feasibility assessment following the participatory action research (PAR) approach, target models and an implementation plan for educational reform were developed. This provides a potential blueprint for reforms in journalism education in fragile states, which considers social and cultural values and interests in the local context while drawing on the perspective of the outsider. This article presents the results of a project entitled ``Professionalisation of Journalism Education on a Tertiary Level in Afghanistan'', which resulted in a manual.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
The importance of journalism's role in society is beyond debate. Particularly in so-called fragile states, the social responsibility of media and journalism cannot be denied. Journalism education must account for the high level of skills required by journalists, and the `mediation' function of journalists in fragile states should be conceptualised. Responding to dynamic developments in the Afghan media landscape and the resulting need for high-quality journalism education, this article proposes a reform model for journalism education on a tertiary level in Afghanistan. Based on research as well as a needs and feasibility assessment following the participatory action research (PAR) approach, target models and an implementation plan for educational reform were developed. This provides a potential blueprint for reforms in journalism education in fragile states, which considers social and cultural values and interests in the local context while drawing on the perspective of the outsider. This article presents the results of a project entitled ``Professionalisation of Journalism Education on a Tertiary Level in Afghanistan'', which resulted in a manual. The importance of journalism's role in society is beyond debate. Particularly in so-called fragile states, the social responsibility of media and journalism cannot be denied. Journalism education must account for the high level of skills required by journalists, and the `mediation' function of journalists in fragile states should be conceptualised. Responding to dynamic developments in the Afghan media landscape and the resulting need for high-quality journalism education, this article proposes a reform model for journalism education on a tertiary level in Afghanistan. Based on research as well as a needs and feasibility assessment following the participatory action research (PAR) approach, target models and an implementation plan for educational reform were developed. This provides a potential blueprint for reforms in journalism education in fragile states, which considers social and cultural values and interests in the local context while drawing on the perspective of the outsider. This article presents the results of a project entitled ``Professionalisation of Journalism Education on a Tertiary Level in Afghanistan'', which resulted in a manual. // The importance of journalism's role in society is beyond debate. Particularly in so-called fragile states, the social responsibility of media and journalism cannot be denied. Journalism education must account for the high level of skills required by journalists, and the `mediation' function of journalists in fragile states should be conceptualised. Responding to dynamic developments in the Afghan media landscape and the resulting need for high-quality journalism education, this article proposes a reform model for journalism education on a tertiary level in Afghanistan. Based on research as well as a needs and feasibility assessment following the participatory action research (PAR) approach, target models and an implementation plan for educational reform were developed. This provides a potential blueprint for reforms in journalism education in fragile states, which considers social and cultural values and interests in the local context while drawing on the perspective of the outsider. This article presents the results of a project entitled ``Professionalisation of Journalism Education on a Tertiary Level in Afghanistan'', which resulted in a manual. |
2020
|
| 102. | Kawa Nazemi; Matthias Kowald; Till Dannewald; Dirk Burkhardt; Egils Ginters Visual Analytics Indicators for Mobility and Transportation Proceedings Article In: Janis Grabis; Andrejs Romanovs; Galina Kulesova (Ed.): 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), pp. 1-6, IEEE, 2020, ISBN: 978-1-7281-9105-8. @inproceedings{Nazemi2020c,
title = {Visual Analytics Indicators for Mobility and Transportation},
author = {Kawa Nazemi and Matthias Kowald and Till Dannewald and Dirk Burkhardt and Egils Ginters},
editor = {Janis Grabis and Andrejs Romanovs and Galina Kulesova},
doi = {10.1109/ITMS51158.2020.9259321},
isbn = {978-1-7281-9105-8},
year = {2020},
date = {2020-09-10},
booktitle = {2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)},
pages = {1-6},
publisher = {IEEE},
abstract = {Visual Analytics enables a deep analysis of complex and multivariate data by applying machine learning methods and interactive visualization. These complex analyses lead to gain insights and knowledge for a variety of analytics tasks to enable the decision-making process. The enablement of decision-making processes is essential for managing and planning mobility and transportation. These are influenced by a variety of indicators such as new technological developments, ecological and economic changes, political decisions and in particular humans’ mobility behaviour. New technologies will lead to a different mobility behaviour with other constraints. These changes in mobility behaviour require analytical systems to forecast the required information and probably appearing changes. These systems must consider different perspectives and employ multiple indicators. Visual Analytics enable such analytical tasks. We introduce in this paper the main indicators for Visual Analytics for mobility and transportation that are exemplary explained through two case studies.},
keywords = {},
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tppubtype = {inproceedings}
}
Visual Analytics enables a deep analysis of complex and multivariate data by applying machine learning methods and interactive visualization. These complex analyses lead to gain insights and knowledge for a variety of analytics tasks to enable the decision-making process. The enablement of decision-making processes is essential for managing and planning mobility and transportation. These are influenced by a variety of indicators such as new technological developments, ecological and economic changes, political decisions and in particular humans’ mobility behaviour. New technologies will lead to a different mobility behaviour with other constraints. These changes in mobility behaviour require analytical systems to forecast the required information and probably appearing changes. These systems must consider different perspectives and employ multiple indicators. Visual Analytics enable such analytical tasks. We introduce in this paper the main indicators for Visual Analytics for mobility and transportation that are exemplary explained through two case studies. |
| 101. | Artis Aizstrauts; Dirk Burkhardt; Egils Ginters; Kawa Nazemi On Microservice Architecture Based Communication Environment for Cycling Map Developing and Maintenance Simulator Proceedings Article In: Janis Grabis; Andrejs Romanovs; Galina Kulesova (Ed.): 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), pp. 1-4, IEEE, 2020, ISBN: 978-1-7281-9105-8. @inproceedings{Aizstrauts2020c,
title = {On Microservice Architecture Based Communication Environment for Cycling Map Developing and Maintenance Simulator},
author = {Artis Aizstrauts and Dirk Burkhardt and Egils Ginters and Kawa Nazemi},
editor = {Janis Grabis and Andrejs Romanovs and Galina Kulesova},
doi = {10.1109/ITMS51158.2020.9259299},
isbn = {978-1-7281-9105-8},
year = {2020},
date = {2020-09-09},
booktitle = {2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)},
pages = {1-4},
publisher = {IEEE},
abstract = {Urban transport infrastructure nowadays involves environmentally friendly modes of transport, the most democratic of which is cycling. Citizens will use bicycles if a reasonably designed cycle path scheme will be provided. Cyclists also need to know the characteristics and load of the planned route before the trip. Prediction can be provided by simulation, but it is often necessary to use heterogeneous and distributed models that require a specific communication environment to ensure interaction. The article describes the easy communication environment that is used to provide microservices communication and data exchange in a bicycle route design and maintenance multi-level simulator.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Urban transport infrastructure nowadays involves environmentally friendly modes of transport, the most democratic of which is cycling. Citizens will use bicycles if a reasonably designed cycle path scheme will be provided. Cyclists also need to know the characteristics and load of the planned route before the trip. Prediction can be provided by simulation, but it is often necessary to use heterogeneous and distributed models that require a specific communication environment to ensure interaction. The article describes the easy communication environment that is used to provide microservices communication and data exchange in a bicycle route design and maintenance multi-level simulator. |
| 100. | Dirk Burkhardt; Kawa Nazemi; Egils Ginters Innovations in Mobility and Logistics: Assistance of Complex Analytical Processes in Visual Trend Analytics Proceedings Article In: Janis Grabis; Andrejs Romanovs; Galina Kulesova (Ed.): 2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS), pp. 1-6, IEEE, 2020, ISBN: 978-1-7281-9105-8. @inproceedings{Burkhardt2020cb,
title = {Innovations in Mobility and Logistics: Assistance of Complex Analytical Processes in Visual Trend Analytics},
author = {Dirk Burkhardt and Kawa Nazemi and Egils Ginters},
editor = {Janis Grabis and Andrejs Romanovs and Galina Kulesova},
doi = {10.1109/ITMS51158.2020.9259309},
isbn = {978-1-7281-9105-8},
year = {2020},
date = {2020-09-09},
booktitle = {2020 61st International Scientific Conference on Information Technology and Management Science of Riga Technical University (ITMS)},
pages = {1-6},
publisher = {IEEE},
abstract = {A variety of new technologies and ideas for businesses are arising in the domain of logistics and mobility. It can be differentiated between fundamental new approaches, e.g. central packaging stations or deliveries via drones and minor technological advancements that aim on more ecologically and economic transportation. The need for analytical systems that enable identifying new technologies, innovations, business models etc. and give also the opportunity to rate those in perspective of business relevance is growing. The users’ behavior is commonly investigated in adaptive systems, which is considering the induvial preferences of users, but neglecting often the tasks and goals of the analysis. A process-related supports could assist to solve an analytical task in a more efficient and effective way. We introduce in this paper an approach that enables non-professionals to perform visual trend analysis through an advanced process assistance based on process mining and visual adaptation. This allows generating a process model based on events, which is the baseline for process support feature calculation. These features in form of visual adaptations and the process model enable assisting non-experts in complex analytical tasks.},
keywords = {},
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A variety of new technologies and ideas for businesses are arising in the domain of logistics and mobility. It can be differentiated between fundamental new approaches, e.g. central packaging stations or deliveries via drones and minor technological advancements that aim on more ecologically and economic transportation. The need for analytical systems that enable identifying new technologies, innovations, business models etc. and give also the opportunity to rate those in perspective of business relevance is growing. The users’ behavior is commonly investigated in adaptive systems, which is considering the induvial preferences of users, but neglecting often the tasks and goals of the analysis. A process-related supports could assist to solve an analytical task in a more efficient and effective way. We introduce in this paper an approach that enables non-professionals to perform visual trend analysis through an advanced process assistance based on process mining and visual adaptation. This allows generating a process model based on events, which is the baseline for process support feature calculation. These features in form of visual adaptations and the process model enable assisting non-experts in complex analytical tasks. |
| 99. | Lukas Kaupp; Kawa Nazemi; Bernhard Humm An Industry 4.0-Ready Visual Analytics Model for Context-Aware Diagnosis in Smart Manufacturing Proceedings Article In: 2020 24th International Conference Information Visualisation (IV), pp. 350-359, IEEE Computer Society, 2020, ISSN: 2375-0138. @inproceedings{Kaupp_IV2020,
title = {An Industry 4.0-Ready Visual Analytics Model for Context-Aware Diagnosis in Smart Manufacturing},
author = {Lukas Kaupp and Kawa Nazemi and Bernhard Humm},
doi = {10.1109/IV51561.2020.00064},
issn = {2375-0138},
year = {2020},
date = {2020-09-01},
booktitle = {2020 24th International Conference Information Visualisation (IV)},
pages = {350-359},
publisher = {IEEE Computer Society},
abstract = {The integrated cyber-physical systems in Smart Manufacturing generate continuously vast amount of data. These complex data are difficult to assess and gather knowledge about the data. Tasks like fault detection and diagnosis are therewith difficult to solve. Visual Analytics mitigates complexity through the combined use of algorithms and visualization methods that allow to perceive information in a more accurate way. Thereby, reasoning relies more and more on the given situation within a smart manufacturing environment, namely the context. Current general Visual Analytics approaches only provide a vague definition of context. We introduce in this paper a model that specifies the context in Visual Analytics for Smart Manufacturing. Additionally, our model bridges the latest advances in research on Smart Manufacturing and Visual Analytics. We combine and summarize methodologies, algorithms and specifications of both vital research fields with our previous findings and fuse them together. As a result, we propose our novel industry 4.0-ready Visual Analytics model for context-aware diagnosis in Smart Manufacturing.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
The integrated cyber-physical systems in Smart Manufacturing generate continuously vast amount of data. These complex data are difficult to assess and gather knowledge about the data. Tasks like fault detection and diagnosis are therewith difficult to solve. Visual Analytics mitigates complexity through the combined use of algorithms and visualization methods that allow to perceive information in a more accurate way. Thereby, reasoning relies more and more on the given situation within a smart manufacturing environment, namely the context. Current general Visual Analytics approaches only provide a vague definition of context. We introduce in this paper a model that specifies the context in Visual Analytics for Smart Manufacturing. Additionally, our model bridges the latest advances in research on Smart Manufacturing and Visual Analytics. We combine and summarize methodologies, algorithms and specifications of both vital research fields with our previous findings and fuse them together. As a result, we propose our novel industry 4.0-ready Visual Analytics model for context-aware diagnosis in Smart Manufacturing. |
| 98. | Kawa Nazemi; Maike J. Klepsch; Dirk Burkhardt; Lukas Kaupp Comparison of Full-text Articles and Abstracts for Visual Trend Analytics through Natural Language Processing Proceedings Article In: 2020 24th International Conference Information Visualisation (IV), pp. 360-367, IEEE Computer Society, 2020, ISSN: 2375-0138. @inproceedings{Nazemi_IV2020,
title = {Comparison of Full-text Articles and Abstracts for Visual Trend Analytics through Natural Language Processing},
author = {Kawa Nazemi and Maike J. Klepsch and Dirk Burkhardt and Lukas Kaupp},
doi = {10.1109/IV51561.2020.00065},
issn = {2375-0138},
year = {2020},
date = {2020-09-01},
booktitle = {2020 24th International Conference Information Visualisation (IV)},
pages = {360-367},
publisher = {IEEE Computer Society},
abstract = {Scientific publications are an essential resource for detecting emerging trends and innovations in a very early stage, by far earlier than patents may allow. Thereby Visual Analytics systems enable a deep analysis by applying commonly unsupervised machine learning methods and investigating a mass amount of data. A main question from the Visual Analytics viewpoint in this context is, do abstracts of scientific publications provide a similar analysis capability compared to their corresponding full-texts? This would allow to extract a mass amount of text documents in a much faster manner. We compare in this paper the topic extraction methods LSI and LDA by using full text articles and their corresponding abstracts to obtain which method and which data are better suited for a Visual Analytics system for Technology and Corporate Foresight. Based on a easy replicable natural language processing approach, we further investigate the impact of lemmatization for LDA and LSI. The comparison will be performed qualitative and quantitative to gather both, the human perception in visual systems and coherence values. Based on an application scenario a visual trend analytics system illustrates the outcomes.},
keywords = {},
pubstate = {published},
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}
Scientific publications are an essential resource for detecting emerging trends and innovations in a very early stage, by far earlier than patents may allow. Thereby Visual Analytics systems enable a deep analysis by applying commonly unsupervised machine learning methods and investigating a mass amount of data. A main question from the Visual Analytics viewpoint in this context is, do abstracts of scientific publications provide a similar analysis capability compared to their corresponding full-texts? This would allow to extract a mass amount of text documents in a much faster manner. We compare in this paper the topic extraction methods LSI and LDA by using full text articles and their corresponding abstracts to obtain which method and which data are better suited for a Visual Analytics system for Technology and Corporate Foresight. Based on a easy replicable natural language processing approach, we further investigate the impact of lemmatization for LDA and LSI. The comparison will be performed qualitative and quantitative to gather both, the human perception in visual systems and coherence values. Based on an application scenario a visual trend analytics system illustrates the outcomes. |
| 97. | Kawa Nazemi; Dirk Burkhardt; Lukas Kaupp; Till Dannewald; Matthias Kowald; Egils Ginters Visual Analytics in Mobility, Transportation and Logistics Proceedings Article In: Egils Ginters; Mario Arturo Ruiz Estrada; Miquel Angel Piera Eroles (Ed.): ICTE in Transportation and Logistics 2019, pp. 82–89, Springer International Publishing. Lecture Notes in Intelligent Transportation and Infrastructure, Cham, 2020, ISBN: 978-3-030-39688-6. @inproceedings{10.1007/978-3-030-39688-6_12,
title = {Visual Analytics in Mobility, Transportation and Logistics},
author = {Kawa Nazemi and Dirk Burkhardt and Lukas Kaupp and Till Dannewald and Matthias Kowald and Egils Ginters},
editor = {Egils Ginters and Mario Arturo Ruiz Estrada and Miquel Angel Piera Eroles},
url = {https://rd.springer.com/chapter/10.1007%2F978-3-030-39688-6_12, Springer},
doi = {10.1007/978-3-030-39688-6_12},
isbn = {978-3-030-39688-6},
year = {2020},
date = {2020-01-31},
booktitle = {ICTE in Transportation and Logistics 2019},
pages = {82--89},
publisher = {Springer International Publishing. Lecture Notes in Intelligent Transportation and Infrastructure},
address = {Cham},
abstract = {Mobility, transportation and logistics are more and more influenced by a variety of indicators such as new technological developments, ecological and economic changes, political decisions and in particular humans' mobility behavior. These indicators will lead to massive changes in our daily live with regards to mobility, transportation and logistics. New technologies will lead to a different mobility behavior with new constraints. These changes in mobility behavior and logistics require analytical systems to forecast the required information and probably appearing changes. These systems have to consider different perspectives and employ multiple indicators. Visual Analytics provides both, the analytical approaches by including machine learning approaches and interactive visualizations to enable such analytical tasks. In this paper the main indicators for Visual Analytics in the domain of mobility transportation and logistics are discussed and followed by exemplary case studies to illustrate the advantages of such systems. The examples are aimed to demonstrate the benefits of Visual Analytics in mobility.},
keywords = {},
pubstate = {published},
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}
Mobility, transportation and logistics are more and more influenced by a variety of indicators such as new technological developments, ecological and economic changes, political decisions and in particular humans' mobility behavior. These indicators will lead to massive changes in our daily live with regards to mobility, transportation and logistics. New technologies will lead to a different mobility behavior with new constraints. These changes in mobility behavior and logistics require analytical systems to forecast the required information and probably appearing changes. These systems have to consider different perspectives and employ multiple indicators. Visual Analytics provides both, the analytical approaches by including machine learning approaches and interactive visualizations to enable such analytical tasks. In this paper the main indicators for Visual Analytics in the domain of mobility transportation and logistics are discussed and followed by exemplary case studies to illustrate the advantages of such systems. The examples are aimed to demonstrate the benefits of Visual Analytics in mobility. |
| 96. | Dirk Burkhardt; Kawa Nazemi; Egils Ginters Process Support and Visual Adaptation to Assist Visual Trend Analytics in Managing Transportation Innovations Proceedings Article In: Egils Ginters; Mario Arturo Ruiz Estrada; Miquel Angel Piera Eroles (Ed.): ICTE in Transportation and Logistics 2019, pp. 319–327, Springer International Publishing. Lecture Notes in Intelligent Transportation and Infrastructure, Cham, 2020, ISBN: 978-3-030-39688-6. @inproceedings{10.1007/978-3-030-39688-6_40,
title = {Process Support and Visual Adaptation to Assist Visual Trend Analytics in Managing Transportation Innovations},
author = {Dirk Burkhardt and Kawa Nazemi and Egils Ginters},
editor = {Egils Ginters and Mario Arturo Ruiz Estrada and Miquel Angel Piera Eroles},
url = {https://rd.springer.com/chapter/10.1007%2F978-3-030-39688-6_40, Springer},
doi = {10.1007/978-3-030-39688-6_40},
isbn = {978-3-030-39688-6},
year = {2020},
date = {2020-01-30},
booktitle = {ICTE in Transportation and Logistics 2019},
pages = {319--327},
publisher = {Springer International Publishing. Lecture Notes in Intelligent Transportation and Infrastructure},
address = {Cham},
abstract = {In the domain of mobility and logistics, a variety of new technologies and business ideas are arising. Beside technologies that aim on ecologically and economic transportation, such as electric engines, there are also fundamental different approaches like central packaging stations or deliveries via drones. Yet, there is a growing need for analytical systems that enable identifying new technologies, innovations, business models etc. and give also the opportunity to rate those in perspective of business relevance. Commonly adaptive systems investigate only the users' behavior, while a process-related supports could assist to solve an analytical task more efficient and effective. In this article an approach that enables non-experts to perform visual trend analysis through an advanced process support based on process mining is described. This allow us to calculate a process model based on events, which is the baseline for process support feature calculation. These features and the process model enable to assist non-expert users in complex analytical tasks.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
In the domain of mobility and logistics, a variety of new technologies and business ideas are arising. Beside technologies that aim on ecologically and economic transportation, such as electric engines, there are also fundamental different approaches like central packaging stations or deliveries via drones. Yet, there is a growing need for analytical systems that enable identifying new technologies, innovations, business models etc. and give also the opportunity to rate those in perspective of business relevance. Commonly adaptive systems investigate only the users' behavior, while a process-related supports could assist to solve an analytical task more efficient and effective. In this article an approach that enables non-experts to perform visual trend analysis through an advanced process support based on process mining is described. This allow us to calculate a process model based on events, which is the baseline for process support feature calculation. These features and the process model enable to assist non-expert users in complex analytical tasks. |
| 95. | Artis Aizstrauts; Egils Ginters; Dirk Burkhardt; Kawa Nazemi Bicycle Path Network Designing and Exploitation Simulation as a Microservice Architecture Proceedings Article In: Egils Ginters; Mario Arturo Ruiz Estrada; Miquel Angel Piera Eroles (Ed.): ICTE in Transportation and Logistics 2019, pp. 344–351, Springer International Publishing. Lecture Notes in Intelligent Transportation and Infrastructure, Cham, 2020, ISBN: 978-3-030-39688-6. @inproceedings{10.1007/978-3-030-39688-6_43,
title = {Bicycle Path Network Designing and Exploitation Simulation as a Microservice Architecture},
author = {Artis Aizstrauts and Egils Ginters and Dirk Burkhardt and Kawa Nazemi},
editor = {Egils Ginters and Mario Arturo Ruiz Estrada and Miquel Angel Piera Eroles},
url = {https://rd.springer.com/chapter/10.1007%2F978-3-030-39688-6_43, Springer},
doi = {10.1007/978-3-030-39688-6_43},
isbn = {978-3-030-39688-6},
year = {2020},
date = {2020-01-29},
booktitle = {ICTE in Transportation and Logistics 2019},
pages = {344--351},
publisher = {Springer International Publishing. Lecture Notes in Intelligent Transportation and Infrastructure},
address = {Cham},
abstract = {Simulation is recognized as a suitable tool for sociotechnical systems research. But the variety and complexity of sociotechnical systems often leads to the need for distributed simulation solutions to understand them. Models that are built for infrastructure planning are typical examples. They combine different domains and involve variety of simulation approaches. This article proposes an easy management environment that is used for VeloRouter software -- a multi agent-based bicycle path network and exploitation simulator that is built as a microservice architecture where each domain simulation is executed as a different microservice.},
keywords = {},
pubstate = {published},
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Simulation is recognized as a suitable tool for sociotechnical systems research. But the variety and complexity of sociotechnical systems often leads to the need for distributed simulation solutions to understand them. Models that are built for infrastructure planning are typical examples. They combine different domains and involve variety of simulation approaches. This article proposes an easy management environment that is used for VeloRouter software -- a multi agent-based bicycle path network and exploitation simulator that is built as a microservice architecture where each domain simulation is executed as a different microservice. |
| 94. | Illg Beatrice Dernbach (Ed.) Journalism and Journalism Education in Developing Countries Book Manipal Universal Press, Manipal, 2020, ISBN: 9789388337106. @book{DernbachBeatriceIllgBeate.2020,
title = {Journalism and Journalism Education in Developing Countries},
editor = {Illg Beatrice Dernbach},
url = {https://books.google.de/books/about/Journalism_and_Journalism_Education_in_D.html?id=idHQDwAAQBAJ&redir_esc=y},
isbn = {9789388337106},
year = {2020},
date = {2020-01-01},
publisher = {Manipal Universal Press},
address = {Manipal},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
|
| 93. | Kefa Hamidi The media revolution in Afghanistan Journal Article In: European Journalism Observatory, 2020. @article{Hamidi.16.November,
title = {The media revolution in Afghanistan},
author = {Kefa Hamidi},
url = {https://en.ejo.ch/specialist-journalism/the-media-revolution-in-afghanistan-part-1},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
journal = {European Journalism Observatory},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| 92. | Kefa Hamidi Development Communication as Development Aid for Post-Conflict Societies Book Section In: Jan Servaes (Ed.): Handbook of Communication for Development and Social Change, pp. 481–499, Springer Singapore and Imprint Springer, Singapore, 2020, ISBN: 978-981-15-2014-3. @incollection{Hamidi.2020,
title = {Development Communication as Development Aid for Post-Conflict Societies},
author = {Kefa Hamidi},
editor = {Jan Servaes},
doi = {10.1007/978-981-15-2014-3textunderscore 101},
isbn = {978-981-15-2014-3},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {Handbook of Communication for Development and Social Change},
pages = {481--499},
publisher = {Springer Singapore and Imprint Springer},
address = {Singapore},
series = {Springer eBook Collection},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
| 91. | Kefa Hamidi Journalism Training in Afghanistan Book Section In: Illg Beatrice Dernbach (Ed.): Journalism and Journalism Education in Developing Countries, pp. 169–179, Manipal Universal Press, Manipal, 2020, ISBN: 9789388337106. @incollection{Hamidi.2020b,
title = {Journalism Training in Afghanistan},
author = {Kefa Hamidi},
editor = {Illg Beatrice Dernbach},
url = {https://books.google.de/books?id=idHQDwAAQBAJ&printsec=copyright&redir_esc=y#v=onepage&q&f=false},
isbn = {9789388337106},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
booktitle = {Journalism and Journalism Education in Developing Countries},
pages = {169--179},
publisher = {Manipal Universal Press},
address = {Manipal},
keywords = {},
pubstate = {published},
tppubtype = {incollection}
}
|
| 90. | Kefa Hamidi Afghan media revolution: Reform journalism education or jeopardise media development! Journal Article In: European Journalism Observatory, 2020. @article{Hamidi.24.November,
title = {Afghan media revolution: Reform journalism education or jeopardise media development!},
author = {Kefa Hamidi},
url = {https://en.ejo.ch/specialist-journalism/afghan-media-revolution-part-2-reform-journalism-education-or-jeopardise-media-development},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
journal = {European Journalism Observatory},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| 89. | Kefa Hamidi Afghanistan: Coronavirus and the media Journal Article In: European Journalism Observatory, 2020. @article{Hamidi.5.Mai,
title = {Afghanistan: Coronavirus and the media},
author = {Kefa Hamidi},
url = {https://en.ejo.ch/ethics-quality/afghanistan-coronavirus-and-the-media},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
journal = {European Journalism Observatory},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| 88. | Hamidy Basir Kefa Hamidi Jahisch be sabiq e Rasanaha dar Afghanistan ((in persische Sprache): Transformation der Medien in Afghanistan Journal Article In: Hasht-e- Sobh, 2020. @article{HamidiKefaHamidyBasir.19.Marz,
title = {Jahisch be sabiq e Rasanaha dar Afghanistan ((in persische Sprache): Transformation der Medien in Afghanistan},
author = {Hamidy Basir Kefa Hamidi},
url = {https://8am.af/media-in-the-sphere-of-afghanistan/?fbclid=IwAR0wYCTGekkA-w5EevwdrHdJaUFZvDmnovwZMjCIZM-j6XJNXEXWZcHtoeg},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
journal = {Hasht-e- Sobh},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
|
| 87. | A. Kutsch; K. Hamidi Dual journalism education Recommendations for the reform of journalism education at state universities in Afghanistan: In particular for the Faculty of Journalism and Public Communication at Nangarhar University Book 1., Universität Leipzig, Leipzig, 2020, ISBN: 978-3-00-067490-7. @book{Kutsch.2020,
title = {Dual journalism education Recommendations for the reform of journalism education at state universities in Afghanistan: In particular for the Faculty of Journalism and Public Communication at Nangarhar University},
author = {A. Kutsch and K. Hamidi},
url = {http://journalism-education-afghanistan.org},
isbn = {978-3-00-067490-7},
year = {2020},
date = {2020-01-01},
urldate = {2020-01-01},
publisher = {Universität Leipzig},
address = {Leipzig},
edition = {1.},
institution = {VW-Stiftung und Universität Leipzig},
keywords = {},
pubstate = {published},
tppubtype = {book}
}
|
| 86. | Jan Servaes (Ed.) Handbook of Communication for Development and Social Change Book 1st ed. 2020, Springer Singapore and Imprint Springer, Singapore, 2020, ISBN: 978-981-15-2014-3. @book{Servaes.2020,
title = {Handbook of Communication for Development and Social Change},
editor = {Jan Servaes},
doi = {10.1007/978-981-15-2014-3},
isbn = {978-981-15-2014-3},
year = {2020},
date = {2020-01-01},
publisher = {Springer Singapore and Imprint Springer},
address = {Singapore},
edition = {1st ed. 2020},
series = {Springer eBook Collection},
abstract = {Section 1 Introduction -- Section 2 Key concepts and practices -- 2.1 Historical context -- 2.2 Normative concepts -- 2.3 Contextual concepts -- 2.4 Strategies and methodologies -- 2.5 Methods, techniques and tools -- 2.6 Attitude and behaviour change, advocacy and impact assessment -- Section 3 Sub-disciplines -- 3.1 Strategic communication and participatory communication -- 3.2 Crisis communication and risk communication -- 3.3 (Development) Journalism and international communication -- 3.4 Online social media and internet activism -- Section 4 Thematic sub-disciplines -- 4.1 Health communication -- 4.2 Agricultural extension and rural communication -- 4.3 ICTs for Development -- 4.4 Environmental communication -- Section 5 Regional overviews and case studies -- 5.1 Asia -- 5.2 Africa -- 5.3 Latin America -- 5.4 North America -- 5.5 Europe -- Section 6 Fields and areas -- 6.1 Right to communicate -- 6.2 Education and learning -- 6.3 Innovation, science and technology -- 6.4 Natural resource management -- 6.5 Food security -- 6.6 Inequality and poverty reduction -- 6.7 Peace and conflict -- 6.8 Children and youth, women and senior citizens -- 6.9 Tourism -- Section 7 By way of conclusions.-References.
This handbook provides a single reference resource for communication for development and social change. Increasingly, one considers communication to be crucial to effectively tackle the major problems of today. Hence, the question being addressed in this handbook is, is there a right communication strategy? Perspectives on sustainability, participation, and culture in communication have changed over time in line with the evolution of development approaches and trends, and in response to the need for effective applications of communication methods and tools to new issues and priorities. Divided into prominent themes comprising relevant chapters written by experts in the field and reviewed by renowned editors, the book addresses topics where communication and social change converge in both theory and praxis. Specific concerns and issues include food security, climate change, poverty reduction, health, equity and gender, sustainable development goals, and information and communication technologies (ICTs). The book shows how communication is essential at all levels of society. It helps readers understand the processes that underlie attitude change and decision-making and the work uses powerful models and methods to explain the processes that lead to sustainable development and social change. This is essential reading for academics and practitioners, students and policy makers alike.},
keywords = {},
pubstate = {published},
tppubtype = {book}
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Section 1 Introduction -- Section 2 Key concepts and practices -- 2.1 Historical context -- 2.2 Normative concepts -- 2.3 Contextual concepts -- 2.4 Strategies and methodologies -- 2.5 Methods, techniques and tools -- 2.6 Attitude and behaviour change, advocacy and impact assessment -- Section 3 Sub-disciplines -- 3.1 Strategic communication and participatory communication -- 3.2 Crisis communication and risk communication -- 3.3 (Development) Journalism and international communication -- 3.4 Online social media and internet activism -- Section 4 Thematic sub-disciplines -- 4.1 Health communication -- 4.2 Agricultural extension and rural communication -- 4.3 ICTs for Development -- 4.4 Environmental communication -- Section 5 Regional overviews and case studies -- 5.1 Asia -- 5.2 Africa -- 5.3 Latin America -- 5.4 North America -- 5.5 Europe -- Section 6 Fields and areas -- 6.1 Right to communicate -- 6.2 Education and learning -- 6.3 Innovation, science and technology -- 6.4 Natural resource management -- 6.5 Food security -- 6.6 Inequality and poverty reduction -- 6.7 Peace and conflict -- 6.8 Children and youth, women and senior citizens -- 6.9 Tourism -- Section 7 By way of conclusions.-References.
This handbook provides a single reference resource for communication for development and social change. Increasingly, one considers communication to be crucial to effectively tackle the major problems of today. Hence, the question being addressed in this handbook is, is there a right communication strategy? Perspectives on sustainability, participation, and culture in communication have changed over time in line with the evolution of development approaches and trends, and in response to the need for effective applications of communication methods and tools to new issues and priorities. Divided into prominent themes comprising relevant chapters written by experts in the field and reviewed by renowned editors, the book addresses topics where communication and social change converge in both theory and praxis. Specific concerns and issues include food security, climate change, poverty reduction, health, equity and gender, sustainable development goals, and information and communication technologies (ICTs). The book shows how communication is essential at all levels of society. It helps readers understand the processes that underlie attitude change and decision-making and the work uses powerful models and methods to explain the processes that lead to sustainable development and social change. This is essential reading for academics and practitioners, students and policy makers alike. |
