University of Jyväskylä | Finland
Dr. Correia has established a strong academic profile in computer science, human–AI interaction, and crowd-computing systems. with an h-index of 10, more than 68 indexed documents, and over 349 citations, He earned a Ph.D. in Informatics (Computer Science) with Summa Cum Laude distinction, followed by advanced training in ICT, English-medium academic teaching, social media, pervasive networks, and inclusive design. His professional experience includes roles as a Postdoctoral Researcher and Teaching Staff member at a leading European university, research appointments at Microsoft Research Cambridge, and visiting scholar positions in the UK and USA. His work spans crowdsourcing, hybrid intelligence, scientific discovery, digital nomadism, CSCW, and cognitive science, supported by competitive grants such as NG-CrAI and eCSAAP. With publications in top journals and conferences, award-winning papers, and leadership roles in scientific software development, he has contributed to advancing human–machine collaboration. His awards include the Microsoft Research PhD Fellowship, multiple Best Paper Awards, and distinctions for excellence in doctoral and master-level research. Continuing to merge computational methods with collective intelligence, he remains committed to driving innovative scientific discovery and shaping the future of hybrid human–AI ecosystems.
Featured Publications
Correia, A., Paredes, H., & Fonseca, B. (2018). Scientometric analysis of scientific publications in CSCW. Scientometrics, 114(1), 31–89.
de Almeida, M. A., Correia, A., Schneider, D., & de Souza, J. M. (2021). COVID-19 as opportunity to test digital nomad lifestyle. In Proceedings of the 2021 IEEE 24th International Conference on Computer Supported Cooperative Work in Design (CSCWD) (pp. 1209–1214).
Cruz, A., Correia, A., Paredes, H., Fonseca, B., Morgado, L., & Martins, P. (2012). Towards an overarching classification model of CSCW and groupware: A socio-technical perspective. In Proceedings of the 18th International Conference on Collaboration and Technology (CRIWG) (pp. 41–56).
Correia, A., Grover, A., Schneider, D., Pimentel, A. P., Chaves, R., de Almeida, M. A., & Fonseca, B. (2023). Designing for hybrid intelligence: A taxonomy and survey of crowd–machine interaction. Applied Sciences, 13(4), Article 2198.
Correia, A., Schneider, D., Fonseca, B., & Paredes, H. (2018). Crowdsourcing and massively collaborative science: A systematic literature review and mapping study. In Proceedings of the 24th International Conference on Collaboration and Technology (CRIWG) (pp. 133–154).