Self-recognition; Academic Mobility; Computational Social Science; Digital Humanities; Data Visualization
Rodighiero Dario, Wandl-Vogt Eveline, Carsenat Elian (2022), A Visual Translation of the Pandemic, in
Leonardo, 55(3), 297-303.
RigalAlexandre, RodighieroDario (2022), Are We All Narcissists? The Pseudo-Narcissism of the Internet, Porto University Press, Porto, 160-162.
RodighieroDario (2022), Ars Memorativa as the Genesis of Information Design: A Conversation with Manuel Lima, Porto University Press, Porto, 29-34.
RodighieroDario (2022), Conspirations des réseaux plats : dessiner des visualisations sur une surface sphérique continue, in
Études digitales, 197-211.
RodighieroDario (2022), Conspirations des réseaux plats : dessiner des visualisations sur une surface sphérique continue, in
Études digitales, 197-211.
HigueraJosé, RomeleAlberto, RodighieroDario, PedroCeleste (2022),
From wisdom to data: philosophical atlas on visual representations of knowledge, Porto University Press, Porto.
Rodighiero Dario, Romele Alberto (2022), Reading network diagrams by using contour lines and word clouds, in
Proceeding of Graphs and Networks in the Humanities, Royal Netherlands Academy of Arts and Sciences, Amsterdam, Amsterdam.
RodighieroDario (2021), Making visible the invisible work of scientists during the Covid-19 pandemic, in
Visual Culture Studies, 2, 143-165.
KahnPaul, DubberlyHugh, RodighieroDario, COVIC: Building a visualization collection as design research, in
Design Issues, 38(4).
RodighieroDario, Extending museums beyond physical space: a design-driven study of Aldo Rossi’s analogous city as a mobile museum object, in
Digital Art History Journal.
RodighieroDario, LinsDerry, DuhaimeDouglas, KruguerJordan, MuellerMaximilian, PietschChristopher, SchnappJeffrey, StewardJeff, Surprise Machines: revealing Harvard Art Museums’ image collection, in
Information Design Journal.
Exploring research environments is a common practice in academia. Although conferences and workshops help keep scholars up to date on their field, career mobility remains a vital activity to establish long-term and long-distance collaborations. Although well-known institutions are often excellent places for boosting careers, it is difficult to fully grasp the quantity and diversity of available institutions.This project is intended to help scholars understand the research environment around them and utilize its opportunities by providing them with a recommendation system for academic mobility.This system is conceived as a web-based application that invites scholars to type their name or copy and paste their ORCID identifier. The answer to such a query is a dashboard displaying potential institutions that matches the interests of every single user. The application relies on a large dataset created during the Early Postdoc.Mobility. Its core structure is composed of scholars, institutions, and publications collected respectively from three datasets, namely ORCID, ISNI, and Crossref.While the current Early Postdoc.Mobility is aimed to visualize and analyze collaborations from all over the world, the proposal for a Postdoc.Mobility is to predict academic mobility by using the recent techniques of artificial intelligence. This method will be applied to the academic careers available on the ORCID dataset, the text analysis on publication abstracts calculated with techniques of Natural Language Processing (NPL), and the collaborations that exist among institutions all over the world.The central idea is to design a recommendation system that provides an informative dashboard customized to the user. His/her personal data provided by ORCID will be compared with statistical methods to the global database to offer him/her a personal overview of the academic environment. With consideration of the critics and capabilities of artificial intelligence, the project aims not to pursue an infallible recommendation system but rather useful information to critically think about their academic career. The aim of the system is to provide contextualized and customized information, showing the travel choices made by other peers, the opportunities around the world, and the patterns of academic mobility.