**Overview of Academic Contributions and Publications:**
My recent academic journey includes a range of collaborative and individual projects. One of our key publications, an article exploring the relevance of causality in discrimination, was co-authored with colleagues from Politecnico di Milano (Polimi) and published in the respected journal Res Publica. Additionally, I have developed a conceptual map that delves into the nuances of fairness in healthcare decisions based on predictive models, which is currently under submission for publication.
In a related vein, my exploration into the legitimacy of using predictions to justify inequalities has been a prolific area of research. This exploration has culminated in three articles: two of which have been published in the FAccT '22 conference proceedings, and another is eagerly awaited in the journal Economics and Philosophy (online access in advance of publication is available). Further extending this research theme, I have co-authored a paper with a US colleague, now under review.
A notable highlight is the development of a process model for a value-based design methodology. This model, designed to integrate ethical considerations into design processes, is currently accessible as a pre-print and is under revision for future publication.
**Dissemination and Educational Activities:**
My dissemination efforts have been multifaceted. I successfully led a reading group, fostering deep discussions and insights among its members. Additionally, I conducted a seminar at the Computational Cancer Biology lab of the Istituto Europeo di Oncologia, which was tailored towards early career researchers and emphasized the importance of fairness in machine learning training.
In the educational domain, I delivered guest lectures in a computer ethics course, providing valuable insights into the ethical dimensions of technology. The course "Teaching Philosophy with Statistics," initially intended for high-school teachers, underwent some adaptations to better align with its educational goals. These efforts have been instrumental in spreading knowledge and stimulating thought-provoking discussions.
On a global scale, our research findings have been showcased at several prestigious conferences, including the ACM FACCT Conference in Seoul and the European Workshop on Algorithmic Fairness, where I served as one of the co-chairs.
**Outreach and Public Engagement:**
In terms of public engagement, I collaborated with Algorithmwatch in a public debate and contributed to a comprehensive blog article. This was an opportunity to reach a broader audience and engage in meaningful discourse on technology and ethics. Further, I developed an educational module titled "Inclusive Machine Learning" for the Responsible Innovators of Tomorrow program, which is now available on the EDx Platform.
In addition to these efforts, I have created and disseminated open-source teaching materials focusing on algorithmic discrimination and equity. These materials are designed to be accessible and informative, catering to educators and the wider community. They are available for download at http://effediesse.mate.polimi.it](
http://effediesse.mate.polimi.it(s’ouvre dans une nouvelle fenêtre).
My work has also been featured in the media, particularly through my participation in two podcasts. I was interviewed on "Ethical Machines" by Reid Blackman, targeting industry leaders, and on "The ReadME Project," appealing to open-source developers. These interviews provided a platform to discuss the manuscript on value-based design methodology, further extending the reach and impact of my research.
