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Read the final report of the studies carried out within the DICTION consortium.
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The DiCtion project investigated various ways to achieve the shared situation picture. A key challenge that we explored was that different project stakeholders have their own view of the construction schedule because they are thinking in terms of their own work. In earlier attempts to resolve this, rigid approaches have been implemented, for example by forcing everyone to follow the same breakdown of work and locations. However, this rigid breakdown does not work well for any one of the parties and results in difficulties in updating information or adapting to changes. Our goal was to allow freedom of action for each stakeholder and to be able to combine the freely generated information into one, shared, project situation picture to enable collabora- tive planning. This required research and development related to developing underlying data models, creating the rules necessary for integrating information on a construction project level, enabling freedom and collaboration in planning future work, and finally finding out in real time what has happened before.

The goal of work packages B and C was to identify a common generic data model for creating, sharing and managing workflow data (WP B) and identifying new ways of planning (WP C). The work packages turned out to be tightly interrelated, so their results are reported in one report. It was necessary to start by looking at decentralized planning and how plans are currently done on different levels, to figure out what is critical on the data model side.

Situation picture can be understood as integration between theoretical plans and actual progress on site. While the traditional process digitalizes information by human entry based on perceptions, new technology allows automated data acquisition by sensoring and computer vision and comparisons to theoretical plans. Situation picture emerges by comparing plans with reality and alerting decision makers of any deviations.

Report on Business Models for Linked Building Data

Diction – Prerequisites for digitalizing construction workflows

Overcoming the productivity problem in construction

Report on DiCtion WP D Engineer-to-order supply chains and logistics processes

Diction - Deliverable DA.2

Shared situation picture

Requirements for architecture and ontology for information sharing

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Pengxin Wang: The internship was an adventure filled with incredible research, unforgettable experiences, and lifelong friendships.

Pengxin Wang’s AScI internship advanced AI research, fostered global friendships, and inspired his journey toward trustworthy AI solutions.
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Research & Art Published:

Major grant from the Kone Foundation for modern architecture research - Laura Berger's project equates building loss with biodiversity loss

Aalto University postdoctoral researcher Laura Berger and her team have been awarded a 541 400 euro grant from the Kone Foundation to study the effects of building loss on society and the environment.
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Awards and Recognition Published:

AIS Impact Award 2024 goes to Professor Matti Rossi and his team

The team won the award for technological and entrepreneurial impact
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Press releases Published:

Researchers aim to correct quantum errors at super-cold temperatures instead of room temperature

One of the major challenges in the development of quantum computers is that the quantum bits, or qubits, are too imprecise. More efficient quantum error correction is therefore needed to make quantum computers more widely available in the future. Professor Mikko Möttönen has proposed a novel solution for quantum error correction and has received a three-year grant from the Jane and Aatos Erkko Foundation to develop it.