Resumen/Abstract
Everybody accepts that understanding the Human Genome is a big challenge for the humanity. It will take at the very least decades to achieve such a goal reasonably well. But new advances that are showing promising results come continuously. Day after day new data are is provided and new information is derived from them. As DNA sequencing technologies improve and evolve, it is an evidence that the rate of data generation at a local level is increasing dramatically. The huge amount of generated data lead to some sort of genomic data chaos, whose data intensive domain (DID) must be explotred. In the talk, how this DID-based problems must be tackled will be considered, emphasizing the role of i) Conceptual Modeling for data characterization, ii) Explainable AI and Machine Learning-based techniques for providing a sound working support to generate valuable clinical information, and iii) sound Knowlede Enginering practices that integrate predictive knowledge and explainable knowledge under a well-defined Data Science framework.Using all these attractive software engineering, data science and AI related solutions, there is an opportunity to reach a fascinating scientific objective: understanding the secrets of life that the Genome Code hides. More and more data that relate genotype and phenotype are available, with especially attractive clinical applications in the context of Personalized Health Care. These ideas will be approached in the Seminar, showing that the challenge of understanding the human genome can suppose a conceptual revolution: understanding the genome could allow to improve (even change or evolve) human being features, something that has never in our hands as humans. A challenging discussion is warranteed..
Curriculum ponente
Oscar Pastor is Fulll Professor and Director of the Research Center on "Métodos de Producción de Software (PROS)” at the Universidad Politécnica de Valencia (Spain). He received his Ph.D. in 1992. He was a researcher at HP Labs, Bristol, UK. He has published more than four hundred research papers in conference proceedings, journals and books, received numerous research grants from public institutions and private industry, and been keynote speaker at several conferences and workshops. Chair of the ER Steering Committee, and member of the SC of conferences as CAiSE, ESEM, ICWE, CIbSE or RCIS, his research activities focus on conceptual modeling, web engineering, requirements engineering, information systems, and model-based software production. He created the object-oriented, formal specification language OASIS and the corresponding software production method OO-METHOD. He led the research and development underlying CARE Technologies that was formed in 1996. CARE Technologies has created an advanced MDA-based Conceptual Model Compiler called IntegraNova, a tool that produces a final software product starting from a conceptual schema that represents system requirements. He is an internationally recognized researcher in the domain of Conceptual Modeling, being ER Fellow since 2010 and having being awarded with the Peter C. Chen in 2017.. He is currently leading a multidisciplinary project linking Information Systems and Bioinformatics notions, oriented to designing and implementing tools for Conceptual Modeling-based interpretation of the Human Genome information. Proponente EPS: Ruth Cobos
Escuela Politécnica Superior | Universidad Autónoma de Madrid | Francisco Tomás y Valiente, 11 | 28049 Madrid | Tel.: +34 91 497 2222 | e-mail: informacion.eps@uam.es
