Pascual D. Diago Nebot (phD) is Associate Professor at the Department of Didactics of Mathematics of the Universitat de València. He currently teaches teaching degrees in Early Childhood Education, Primary  Education and in the master's degree in research in Specific Didactics. His research focuses on problem-solving and the use of new technologies in the teaching-learning processes of school mathematics.

Emillia López-Iñesta has a degree in Mathematics, a Degree in science and statistical techniques, a Master in Advanced Computing and Intelligent Systems (extraordinary prize) and PhD in Information Technologies, Communications and Computing from the University of Valencia. Her doctoral thesis was awarded the Marc Esteva Award for Best Thesis in Artificial Intelligence in 2018, being the first woman to achieve it. Emilia López-Iñesta is an Assistant Teacher in the Department of Mathematics Teaching. She has made research stays at the Center for Research in Artificial intelligence of the University Veracruzana (Mexico) and the laboratory of Agent-based Social Simulation of the CNR (Rome).

Her research focuses on understanding mathematical problems, reading statistical graphs, computational thinking, applying artificial intelligence techniques and machine learning to different contexts such as Education (Learning Analytics), Citizen Science and the so-called "Science of Science” area that includes Peer review processes. On the other hand, she investigates gender diversity in ICT and STEM to reduce the gender gap in STEM (Science, Technology, Engineering and mathematics) careers obtaining with one of her weorks the Florence Nightingale Award for the best communication with a gender perspective. She has received for her research and dissemination activities the Artificial Intelligence 2019 category Award of the Muy Jóvenes Científicas Awards, convened by the Muy Interesante magazine and the Odisea television channel.

She participates in the organization of scientific dissemination activities and projects, such as Databeersvlc (https://twitter.com/databeersvlc), a short talks event on applications of Artificial Intelligence, Data Science and statistics in an informal setting or "La Falla Immaterial" (https://fallaimmaterial.com/es), a citizen science project that combines data analysis using Artificial intelligence techniques in the context of massive festivities such as Las Fallas. She is Ambassador Scientix (http://www.scientix.eu in Spain, the community for the teaching of Science in Europe. She is also one of the promoters of the Girls4STEM project (http://www.girls4stem.es/) for the promotion of scientific vocations among young people, in particular girls and adolescents, with the aim of valuing and knowing the social application of careers related to STEM areas such as Engineering, Mathematics and Data Science. She also collaborates with the initiative https://11defebrero.org/ and is a member of the node Valence of the network Biostatnet that is in charge of the project "STAT WARS: The empire from the data" (https://biostatnet.com/noticias-noticias/stat-wars-el-imperio-de-los-datos/), an outreach project to bring the statistics, and their applications in Artificial Intelligence and Data Science to the students of Secondary Education.

She has received recognition for his work in Scientific Dissemination for the projects DatabeersVlc, Synapsi-UV (project on neuroscience, Augmented Reality and Artificial Neural Networks) and Falla Immaterial, as well as other awards for academic and research performance (info on https://www.researchgate.net/profile/Emilia_Lopez-Inesta awards section).

She is a member of the Association of women researchers and technologists, the Catalan Association of artificial intelligence ACIA, the Spanish Society of research in mathematical education (SEIEM) and the Society of mathematical education of the Valencian Community Al-Khwarizmi (SEMCV).

Participates in national and international competitive projects, belongs to scientific committees and participates in the organization of scientific conferences (CCIA2015, PEERE2016, SOCIOCOMPLEX2016, CNSC2018, PEERE2020, JENUI2020, SEIEM2020).

On the other hand, she collaborates in training courses for teachers of Secondary and Primary Education to motivate the application of resources of Artificial Intelligence, Data Science and Statistics in the classroom.

[Biography, english version]

Carlos Segura holds a degree in Mathematics (Extraordinary Prize), a degree in History of Art and a PhD in Didactics of Mathematics (Extraordinary Prize. He currently works as Assistant Professor (PAD) in the Department of Didactics of Mathematics at the University of Valencia. 
Carlos Segura has worked as a teacher of Secondary Education (2010-2015) and as a teacher training advisor in the area of Mathematics, Science and Technology for the Conselleria d'Educació (2015-2023). He was also associate professor in the Department of Didactics of Mathematics from 2015 to 2023, when he joined as PAD. 
His research focuses on Mathematics Education; in particular, modelling and applications in mathematics education, and problem solving and posing (use of multiple strategies, flexibility, errors and difficulties, affective aspects). He is also interested in the specialised knowledge of mathematics teachers. He has published in high-impact journals in the field and presented papers at major international and national conferences in mathematics education. He has carried out research stays at Harvard University and the Universitat Autònoma de Barcelona.
He has been involved in various projects related to the teaching of mathematics. Thus, he participates in the project to stimulate mathematical talent Estalmat CV and is part of the organising team of the IMMC-Spain competition, aimed at secondary and high school students. She has taught and coordinated numerous in-service teacher training courses for all educational levels with Cefire CTEM. He is also a member of the Education Commission of the Spanish Royal Mathematical Society.