We are pleased to announce the 2nd International Conference Data & Digital Humanities, which will take place at the University of Minho, Braga, Portugal, on 12th-13th of December 2024, as a virtual and face-to-face conference. This will be an event hosted by CEHUM – Center for Humanistic Studies.

The first edition of this congress began as part of the research project PortLinguE (PTDC/LLT-LIG/31113/2017), entitled "Multilingual portal for specialized languages: mining open data for cross-language information retrieval", in collaboration with the research project DIAL4U (2020-1-FR01-KA226-HE-095526), entitled "Digital pedagogy to develop Autonomy, mediate and certify Lifewide and Lifelong Language Learning for (European) Universities" and with the research project SimpleText (University of Bretagne Occidentale). 

Our second instalment continues the dialogue among these research domains, striving to promote the exchange and dissemination of innovative practices in using Generative AI for both multimodal and textual applications within the academic community. While this edition of the conference primarily focuses on Generative AI, we also welcome work that covers the three main steps of data processing and aims to make data science methods more accessible to the broader community and the Humanities.

Breast cancer remains a major public health challenge, requiring more effective and less invasive screening methods. Despite progress, current techniques (mammography, ultrasound, and MRI) have limitations, particularly in terms of patient comfort and effectiveness for certain breast types. Emerging trends in scientific literature include the development of portable imaging systems, the use of innovative antenna arrays, and the integration of multimodal imaging techniques combining different modalities for more accurate detection. Microwave imaging emerges as a promising alternative, offering a non-ionizing and potentially more comfortable approach. Recent advances in microwave imaging and artificial intelligence (AI) aim to improve early detection and monitoring of breast cancer. The integration of AI in general and in this technology in particular opens new perspectives for data interpretation, reduction of diagnostic errors, and personalization of screening. These innovations could lead to more accessible screening devices and significantly improve patient care. The E-Daisy project, combining miniaturized microwave sensors and AI algorithms, illustrates the potential of these technologies to democratize access to breast cancer screening, regardless of geographical or socioeconomic constraints. This synergy between microwave imaging and AI promises to improve early detection of breast cancer, offering new perspectives for women's health worldwide.

This panel brings together researchers engaged in the study of academic literacies and the generation and analysis of data, particularly in the context of the Brazilian Academic Multiliteracy Corpus (BrAMCorp), an action developed within the research project “University Learners in Contemporary Academic and Scientific Literacy Practices for Training Teachers and Globalized Researchers” (FAPESP). The presentation will report on the implementation of a computer system to manage databases of student's academic productions in different languages, the development of a linguistic and multimodal corpus to support a university project aimed at studying academic reading and writing in Portuguese, and reflect on the production of multimodal texts that communicate the results of research carried out on the development of academic literacy of young university students entering the Universidade Estadual de Campinas (Brazil).

Francisco Lopes

(University of Minho)

A deep dive into the practical applications of AI across various disciplines in the humanities, showcasing case studies, innovative empirical results, and ethical considerations.