Saija Hollm茅n
Professor of Practice in Humanitarian Architecture
Architect,聽D.Sc. (Arch)
Expert in Humanitarian Architecture and Interdisciplinary Pedagogies
WiTLAB alumni stories
Meet the professionals who have participated in WiTLAB's courses and collaborative projects through time
Frequently asked questions and contact information
This page includes a series of questions that are commonly asked by users and contact information.
Lifewide learning for organisations
Engage and upskill your employees in the rapid changing environment with easily accessible academic learning.
Learn online
Aalto University's online learning content offers a glimpse into Aalto's key areas of expertise.
Newstand (2023-2026)
Metrology Research Institute is involved in project Newstand 鈥 鈥漀ew calibration standards and methods for radiometry and photometry after phaseout of incandescent lamps鈥 financed by the European Partnership on Metrology (EPM).
MeLiDos (2023-2026)
Metrology Research Institute is involved in project MeLiDos 鈥 鈥 Metrology for Wearable Light Loggers and Dosimeters鈥 financed by the European Partnership on Metrology (EPM).
Study business and economics at Aalto University in Finland!
At Aalto University, science and art meet technology and business. Come and meet us at the Study in Europe fair in Seoul on June 20, 2023 and start your journey at a leading university in the world's happiest country!
Responsible use of Generative Artificial Intelligence in the research process
The guidelines are based on guidelines of the European Research Area Forum.
These guidelines focus on one particular type of AI used in the research process: generative AI. The goal of these guidelines is to prevent misuse and ensure that generative AI plays a positive role as part of research practices.
The key principles for the responsible use of generative AI in research are:
鈥 Reliability in ensuring the quality of research, reflected in the design, methodology, analysis and use of resources. This includes aspects related to verifying and reproducing the information produced by the AI for research. It also involves being aware of possible equality and non-discrimination issues in relation to bias and inaccuracies.
鈥 Honesty in developing, carrying out, reviewing, reporting and communicating on research transparently, fairly, thoroughly and impartially. This principle includes disclosing that generative AI has been used.
鈥 Respect for colleagues, research participants, research subjects, society, ecosystems, cultural heritage and the environment. Responsible use of generative AI should consider the limitations of the technology, its environmental impact16 and its societal effects (bias, diversity, non-discrimination, fairness and prevention of harm). This includes the proper management of information, respect for privacy, confidentiality and intellectual property rights, and proper citation.
鈥 Accountability for the research from idea to publication, for its management and organisation, for training, supervision and mentoring, and for its wider societal impacts. This includes responsibility for all output that a researcher produces, underpinned by the notion of human agency and oversight.
Introduction to doctoral studies in the School of Electrical Engineering
ELEC Introduction to Doctoral Studies course for recently admitted doctoral students
Unite! opportunities for faculty and staff
Learn how you can benefit from and get involved with Unite!
Napping pods opened for use
Campus' first napping pods have opened for use. Please read the instructions before booking a pod!
Visit the School of Electrical Engineering
We organise visits for school groups or anyone interested in the field, to the Robotics Lab, Acoustics Lab, the Electronics-ICT laboratory, the ePowerHub laboratory, and the Aalto Factory of the Future.
FAQ for new international degree students
Frequently asked questions for new international degree students.
Practical information on publishing
What to consider when preparing a manuscript: a step-by-step checklist