Conversations on a probable future: interview with Beatrice Fazi

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Fixed effects selection in the linear mixed-effects model using adaptive ridge procedure for L0 penalty performance

This paper is concerned with the selection of fixed effects along with the estimation of fixed effects, random effects and variance components in the linear mixed-effects model. We introduce a selection procedure based on an adaptive ridge (AR) penalty of the profiled likelihood, where the covariance matrix of the random effects is Cholesky factorized. This selection procedure is intended to both low and high-dimensional settings where the number of fixed effects is allowed to grow exponentially with the total sample size, yielding technical difficulties due to the non-convex optimization problem induced by L0 penalties. Through extensive simulation studies, the procedure is compared to the LASSO selection and appears to enjoy the model selection consistency as well as the estimation consistency

Foregrounding accessibility for user experience design

textI am interested in creating generative tools and techniques for designing accessible user experiences for end users. As a user experience designer, I am working on embracing the web accessibility standards and guidelines and including them from the beginning of the User Experience (UX) design process. My projects are directed at facilitating design students and professionals to understand two things: that the broad concept of web accessibility is important, and how they can embed web accessibility into the UX design process at a very early stage. To do this, I used different media (website, posters and videos etc.) to create awareness and educate designers in an interesting, simple and engaging way. In this report, I will discuss the definition and role of accessible design, identify limitations in existing tools and methods, and demonstrate how future designers might research, prototype, analyze, and implement their designs for all users.Desig