Decisioning 2024

Important decisions at all levels are based on a fundamental resource: knowledge. Improvement and innovation in organizations is done based on the analysis of previous experiences and external events that constitute the knowledge base. Having knowledge bases with historical data and trends helps predict behaviors and make decisions that provide competitive advantages.

In a knowledge society, organizations have managed to create alliances to share this resource and generate collaborative decisions that help strengthen them. Collaborative decisions collect the knowledge of business groups, supporting research and development in many productive sectors.

“Union make force”. Sharing knowledge ensures its retention and catalyzes the construction of this consensus. Organizations that share their knowledge collectively achieve better results according to decisions made based on a better information resource.

Our point of view in collaborative decision making is oriented towards improving the quality of the decision making process and better acceptance of choice. It is important to highlight that decisions made together lead to better acceptance. Thus, while decision making could be seen as a constructed model. For us, collaborative decision making is seen as the use of socio-technical means to improve the performance and acceptability of decision making.

Shared decision making is a central activity in many human activities. For example, sustainable decision-making is the task not only of governments and institutions, but also of society in general. Recognizing the urgent need for sustainability, we can argue that to achieve sustainable development, it must be considered as a decision-making strategy.

The location of knowledge in collaborative decision making should be considered, to the extent that knowledge sharing leads to improved collaborative decision making: a “static view” should be structured to obtain “collaborative knowledge.”

Knowledge plays an important role in individual decision making and we consider that for collaborative decision making, knowledge has to be shared. What is required is a better understanding of the nature of group work. Knowledge must be shared, but how do we share knowledge?

Decisioning 2024 is presented as the third workshop on Collaboration in knowledge discovery and decision making. It has had the support of six research teams from France, Argentina and Colombia in its organization, to explore the current frontier of knowledge and its applications in different areas related to knowledge discovery and decision making.

The format of this workshop is hybrid (in-person or virtual), and aims at discussion and exchange of knowledge between academia and industry members.

Decisioning 2024 invites presentations on the following topics. Articles that present original results on research, teaching and developments from industrial processes are welcome.

• Knowledge Discovering Applications
• Knowledge Representation and Modeling
• Knowledge Maintenance Knowledge Elicitation Knowledge-Based
• Systems Knowledge applications to sustainability and agriculture
• Expert Systems
• Decision Support Systems
• Content Management and Knowledge Management Systems
• Workflow Management Systems
• Ontology Engineering (Modeling, Mapping, Integration)
• Data Mining
• Knowledge representation and ontologies to sustainability and agriculture
• Natural Language Processing
• Text Mining,
• Classification and Summarization Information Storage,
• Annotation and Retrieval Unstructured and Semi-Structured Data Retrieval
• Data Simulation, Modeling, and Visualization Information and Knowledge Integration
• Knowledge graphs for decision-making
• Knowledge management and sustainability

Dr. Julio César Chavarro, Universidad Tecnológica de Pereira, jchavar@utp.edu.co
Dr. Cesar Collazos, Universidad del Cauca, ccollazo@unicauca.edu.co
Dr. Diego Torres, Universidad Nacional de La Plata-Universidad Nacional de Quilmes, Argentina, diego.torres@lifia.info.unlp.edu.ar
Dr. Julio Hurtado, Universidad del Cauca, ahurtado@unicauca.edu.co Dr. Hervé Panetto, University of Lorraine, herve.Panetto@univ-lorraine.fr
Dr. Mario Lezoche, University of Lorraine, mario.lezoche@univ-lorraine.fr
Dr. Leandro Antonelli, Universidad Nacional de La Plata, Argentina, lanto@lifia.info.unlp.edu.ar
Dr Luis Eduardo Sepúlveda, Universidad del Quindio, luiseduardo.sepulveda@utp.edu.co
Dr. Christian Andrés Candela, Universidad del Quindio, christian.candela@utp.edu.co
Dr. Jairo Villegas. Universidad Tecnológica de Pereira. Mag. César Augusto Jaramillo, Universidad Tecnológica de Pereira, swokosky@utp.edu.co
Mag. Carlos Augusto Meneses, Universidad Tecnológica de Pereira, cmeneses@utp.edu.co

John Alexis GuerraConferencista invitado

Information Visualization Researcher and Engineer. I help people extract insights from their data using interactive infovis and data science. PhD in Computer Science, Associate Teaching Professor at Northeastern University Bay Area. I conduct research on Visual Analytics, Accessibility, Big data, Human Computer Interaction and Web Development. Formerly at UCBerkeley, Uniandes Colombia, Yahoo Labs, Xerox PARC and DUTO .

Chistian StornConferencista invitado

Christian Sturm es Profesor de Factores Humanos e Ingeniería de Usabilidad en la Technische Hochschule Ingolstadt. Obtuvo su ingeniería en informática en la Universidad de Furtwangen y su doctorado en ciencias cognitivas, antropología cultural y telemática en la Universidad de Friburgo. Con una amplia experiencia en el ámbito académico e industrial en México, España y Egipto, también ha enseñado informática en China. Su investigación se centra en los aspectos educativos y transculturales de la interacción humano-computadora, combinados con el pensamiento emprendedor. Además, capacita activamente a estudiantes para competencias de diseño en América Latina, África y Europa.

Felipe A. BesoainConferencista invitado

Felipe A. Besoain (Miembro, IEEE) Licenciado en Ingeniería Bioinformática de la Facultad de Ingeniería, Universidad de Talca, Chile, en 2010, el Master en Software Libre, en 2012, y el Ph.D. en Tecnologías de la Información en Redes de la Universitat Oberta de Catalunya, Barcelona, España, en 2018, fue investigador postdoctoral en psicología social en la Universidad de Talca, combinando el desarrollo de aplicaciones con la teoría contemporaneas del cambio de actitudes. Actualmente es Director de Mauletec - HCI and persuasive technologies laboratory – y de la Dirección de Tecnologías Educativas de la Universidad de Talca. Participa en diversos proyectos de investigación, con experiencia demostrable en el desarrollo de tecnologías móviles inmersivas (realidad virtual) en la industria de la salud, la agronomía, el turismo, la cultura y el patrimonio. Sus intereses de investigación actuales incluyen la aplicación de tecnologías persuasivas en contextos inteligentes para la promoción de la salud, el turismo y el patrimonio cultural, el uso de la computación ubicua y dispositivos móviles, la gamificación y las tecnologías inmersivas para la formación y promoción de actitudes.

Decisioning 2024

Lideran

Apoyan

Call for Papers

Topics of Interest

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Chairs and Committee

Doctoral Symposium Chair

Conferencistas invitados