Short Personal Interview
Tomás Alves was born in 1994, in Lisbon Portugal. He is an INESC-ID Researcher and PhD Student since 2017, integrating the Scientific Area Graphics and Interaction (GI).
How did you get to INESC-ID?
I applied and was selected to be part of the GameCourse project (PTDC/CCI-CIF/30754/2017).
one of the strongest research institutions in Portugal.
Research project(s) under development
My PhD topic focuses on developing personality-aware information visualization systems to improve user interaction and decision making.
How would you explain in the most accessible and least technical language possible, what is the application / expected results of this (these) project (s)?
The technology will help you make the best decisions based on your personality.
Tell us about your favorite project so far (or one of them)?
The PhD. I have had a lot of opportunities to collaborate with fellow colleagues in interesting topics both in and outside my research area.
What are the biggest challenges of working in research in this area?
Our research studies are utterly dependent of participants to provide data for our analysis. This COVID phase just exacerbated this need and put a lot of studies on hold.
What book are you currently reading?
Authority, by Jeff VanderMeer
How would you explain to your child (or your parents or grandparents) what your job is? How do you explain what means to be a researcher in this area?
I am working towards building technology more helpful and reliable by making it adapt itself to your own personality. Being a researcher in Human-Computer Interaction means that the user and their individual characteristics must always come first while developing technology.
How do you see the mission of INESC-ID “to produce added value to people and society, supporting the response of public policies to scientific, health, environmental, cultural, social, economic and political challenges, in the fields of Computer Science and Electrical and Computer Engineering”?
A cornerstone in the digital structure of Portugal.
Linkedin Profile Link
Academic Degree *
Bologna Master Degree in Information Systems and Computer Engineering – Alameda
Training / Research Area(s) *
Human-Computer Interaction, Personality Psychology, Decision Making
INESC-ID Scientific Area
INESC-ID ESR Talks – June 2023
If you are a masters/PhD student or a postdoctoral fellow, come and present your work in an informal and friendly environment – and savour some tasty snacks!
Individual talks will be 10-15 minutes plus time for feedback. Enroll on your selected date by emailing pedro.ferreira[at]inesc-id.pt.
Happening on the second Wednesday of every month (4pm-5pm):
- 14 June (Alves Redol, Room 9)
- 12 July (Alves Redol, Room 9)
We hope to see you there!
OLISSIPO Summer School in Lisbon | Computational phylogenetics to analyse the evolution of cells and communities
We are happy to announce the OLISSIPO Summer School on Computational phylogenetics to analyse the evolution of cells and communities, which will be held in Lisbon, Portugal, at INESC-ID, between July 2-7, 2023.
David Posada, University of Vigo (class)
João Alves, University of Vigo (hands-on)
Nadia El-Mabrouk, Université de Montréal (class)
Mattéo Delabre, Université de Montréal (hands-on)
Ran Libeskind-Hadas, Claremont McKenna College (class and hands-on)
Russell Schwartz, Carnegie Mellon University (class and hands-on)
See the preliminary agenda at: https://olissipo.inesc-id.pt/tree-tango-school
Registration is mandatory. You can register at: https://forms.gle/VsASFHW5E7MJvaCc9
The registration fee is 250€ for students and OLISSIPO members and 350€ for postdocs or other researchers (meals indicated at the schedule of the school are included, accommodation and flights are not). All details will be made available upon registration.
We will have slots for flash talks (3-10 min depending on the number of submissions) to present yourself and the work you have been developing in your research.
The 13th Lisbon Machine Learning School | LxMLS 2023
The Lisbon Machine Learning Summer School (LxMLS) takes place yearly at Instituto Superior Técnico (IST). LxMLS 2023 will be a 6-day event (14-20 July, 2023), scheduled to take place as an in-person event.
The school covers a range of machine learning topics, from theory to practice, that are important in solving natural language processing problems arising in different application areas. It is organized jointly by Instituto Superior Técnico (IST), a leading Engineering and Science school in Portugal, the Instituto de Telecomunicações, the Instituto de Engenharia de Sistemas e Computadores, Investigação e Desenvolvimento em Lisboa (INESC-ID), the Lisbon ELLIS Unit for Learning and Intelligent Systems (LUMLIS), Unbabel, Zendesk, and IBM Research.
Check online for information about past editions: LxMLS 2011, LxMLS 2012, LxMLS 2013, LxMLS 2014, LxMLS 2015, LxMLS 2016, LxMLS 2017, LxMLS 2018, LxMLS 2019, LxMLS 2020, LxMLS 2021, LxMLS 2022 (you can also watch the videos of the lectures for 2016, 2017, 2018, and 2020).
31st International Conference on Information Systems Development (ISD 2023)
The 31st International Conference on Information Systems Development (ISD 2023) conference provides a forum for research and developments in the field of information systems. The theme of ISD 2023 is “Information systems development, organizational aspects and societal trends”. New trends in developing information systems emphasize the continuous collaboration between developers and operators in order to optimize the software delivery time. The conference promotes research on methodological and technological issues and how IS developers and operators are transforming organizations and society through information systems.
The ISD 2023 conference held this year also provides an opportunity for researchers and practitioners to promote their research, practical experience, and to discuss issues related to Information Systems through papers, posters, and journal-first paper presentations.
ISD 2023 will be hosted by Instituto Superior Técnico, in Lisbon, Portugal, on August 30–September 1, 2023.