@inproceedings {43081,
	title = {Designing and Testing a Mobile App to Fight Child, Early, and Forced Marriage in Developing Countries},
	journal = {14th Scandinavian Conference of Information Systems (SCIS 2023)},
	year = {2023},
	abstract = {Child marriage is still a severe issue in developing countries. Among the strategies that work most to fight it, is empowering girls with information combined with the education of parents and community. As smartphones are more accessible year after year in developing countries, we want to investigate how a mobile app could effectively fight child marriage and which characteristics such an app should have. The research was organized into three main phases. The first phase was focused on 4 expert semi-structured interviews to understand if an app could be a good solution to help in fighting child marriage. The second and third phases were based on a case study with young girls in the Democratic Republic of the Congo. The second phase had focus groups with 26 girls to test and improve the requi- sites of the app, and the third phase had a questionnaire that 14 girls had to fill out after trying the app. The study shows that girls in developing countries have access to smartphones, and most can use the developed app satisfactorily and that it is worth continuing to study this problem as an app could be a new instrument to use alongside traditional tools.},
	keywords = {Child Marriage, Developing Countries, Digital Illiterate Users, ICT4D, Low-Literate Users, Mobile App},
	author = {Crivellari, Ilaria and Jaccheri, Letizia and Jose David {Pat{\'o}n-Romero}}
}
@inproceedings {43080,
	title = {Gender Equality in Information Technology Processes: A Systematic Mapping Study},
	journal = {Future of Information and Communication Conference (FICC 2023)},
	volume = {652},
	year = {2023},
	month = {03/2023},
	pages = {310{\textendash}327},
	publisher = { Springer},
	address = {Lecture Notes in Networks and Systems},
	abstract = {Information Technology (IT) plays a key role in the world we live in. As such, its relation to the 17 Sustainable Development Goals (SDGs) stated by the United Nations to improve lives and health of the people and the planet is inexorable. In particular, the SDG 5 aims to enforce gender equality and states 9 Targets that drive the actions to achieve such goal. The lack of women within IT has been a concern for several years. In this context, the objective of this study is to get an overview of the state of the art on gender equality in IT processes. To do so, we conducted a Systematic Mapping Study to investigate the addressed Targets, challenges, and potential best practices that have been put forward so far. The results we have obtained demonstrate the novelty of this field, as well as a set of opportunities and challenges that currently exist in this regard, such as the lack of best practices to address gender equality in IT processes and the need to develop proposals that solve this problem. All of this can be used as a starting point to identify open issues that help to promote research on this field and promote and enhance best practices towards a more socially sustainable basis for gender equality in and by IT.},
	keywords = {Gender Equality, information technology, Processes, sustainability, Systematic Mapping Study},
	isbn = {978-3-031-28072-6},
	doi = {https://dx.doi.org/10.1007/978-3-031-28073-3_22},
	author = {Jose David {Pat{\'o}n-Romero} and Block, Sunniva and Ayala, Claudia and Jaccheri, Letizia},
	editor = {Arai, Kohei}
}
@article {43079,
	title = {State of Gender Equality in and by Artificial Intelligence},
	journal = {IADIS International Journal on Computer Science \& Information Systems},
	volume = {17},
	number = {2},
	year = {2022},
	month = {12/2022},
	pages = {31-48},
	publisher = {IADIS},
	abstract = {When talking about sustainability, we usually think that it is only about safeguarding the environment; nothing is further from reality. Of course, the environment is a crucial component of sustainability and our survival, but it is important to recall that the society and the economy play important roles in this regard, and without the interconnection and development of these three perspectives it will not be possible to achieve sustainable progress. The Sustainable Development Goals (SDGs) established by the United Nations (UN) defend this idea and address the main challenges that humanity faces. One of these challenges is gender equality, which is identified in the perspective of social sustainability through SDG 5. Gender equality is a very complex and difficult challenge to address due to the great cultural diversity of our society. Thus, achieving this goal will require laying a solid foundation and working together by combining very different fields of knowledge. In this sense, Artificial Intelligence (AI) is one of the fields that is currently having the greatest impact and relevance for the development of new technologies and for the advancement of numerous areas. This growing evolution of AI demonstrates that its repercussions at the social level must be analyzed and addressed in such a way that AI becomes a positive asset for sustainability and, in this particular case, for gender equality.For all these reasons, this study aims to analyze the current state of the art and collect the existing knowledge in the fields of AI and gender equality, by conducting a Systematic Mapping Study (SMS). The obtained results and findings have allowed us to identify the most relevant advances in this regard, as well as the gaps and drawbacks that currently exist and on which we must urgently focus to address gender equality both in and by AI. In the same way, these findings demonstrate the limited joint development of both fields, but also indicate an increase in the relevance and the number of proposals that these fields are receiving in recent years.},
	keywords = {artificial intelligence, Gender Equality, Literature Analysis, Literature Review, Social Sustainability},
	issn = {1646-3692},
	url = {https://www.iadisportal.org/ijcsis/papers/2022170203.pdf},
	author = {Jose David {Pat{\'o}n-Romero} and Vinuesa, Ricardo and Jaccheri, Letizia and Maria Teresa {Baldassarre}}
}
@inproceedings {Simula.SE.3,
	title = {Educational Approach to an Experiment in a Software Archiecture Course},
	journal = {20th Conference on Software Engineering Education and Training (CSEE\&T 2007)},
	year = {2007},
	pages = {291-300},
	publisher = {IEEE Computer Society},
	type = {Conference},
	abstract = {This paper reports experiences from an experiment in a software architecture course where the focus was both on giving students valuable education as well as getting important empirical results. The paper describes how the experiment was integrated in the course, and presents an evaluation of the experiment from an educational point of view. Further, the paper reflects on the costs and the benefits of carrying out an experiment in the context of a software architecture course for the involved stakeholders namely the researchers, the students, and the instructors. The main results show that we managed to integrate the experiment in the course, that the students learned several aspects of software architecture through the experiment, and that the main motivation for putting effort into the experiment was to prove own skills. We also describe some guidelines for planning and executing experiments as a part of a software engineering course.},
	isbn = {0-7695-2893-7},
	author = {Alf Inge {Wang} and Arisholm, Erik and Jaccheri, Letizia}
}
