RELIANCE Events

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<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>2. General Assembly</td>
<td>Gothenburg, SE</td>
<td>lunch-lunch</td>
<td>Chalmers University of Technology</td>
<td>Nov 2025</td>
<td>
<p>17-18 Nov</p>
</td>
</tr>
</tbody>
</table>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>2. Workshop</td>
<td>Gothenburg, SE</td>
<td>3 days</td>
<td>Chalmers University of Technology</td>
<td>Nov 2025</td>
<td>
<p>19-21 Nov</p>
</td>
</tr>
</tbody>
</table>
<h4>Advanced composite materials, their mechanics and multifunctionality</h4>
<p>The workshop covers fibre reinforced composite materials, their constituents, manufacture, material architecture and properties. The DCs will learn the role of the constituents and fibre architectures (unidirectional (UD) and three-dimensional (3D) woven composites); SOTA processing techniques for composite materials; mechanics of composites and modelling approaches from micro mechanics to classical laminate theory and numerical methods for structural analyses; and structural battery composites and their multifunctional performance. The training will interlace theoretical and experimental activities, followed by discussions on their wider application and need for characterization in the context of the RELIANCE network activities.</p>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>2. General Assembly</td>
<td>Villingen, CH</td>
<td>lunch-lunch</td>
<td>Paul Scherrer Institute</td>
<td>Jan/Feb 2026</td>
<td>
<p>28-29 Jan</p>
</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>2. Workshop</td>
<td>Villingen, CH</td>
<td>1 day</td>
<td>Thermofischer Scientific, France</td>
<td>Jan/Feb 2026</td>
<td>
<p>30 Jan</p>
</td>
</tr>
</tbody>
</table>
<h4>Effective Technology Transfer: IP handling and Results</h4>
<p>The workshop covers conversion of new knowledge and ideas into products and services, market specific demands analysis and basic finance requirements. The DCs will be trained in entrepreneurial and market-oriented skills guiding them in developing and pitching their work to increase economic and social benefit, basic rules necessary for stimulating collaboration with other researchers, private companies and investors, and proper handling of IP protection and exploitation.</p>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>Winter school</td>
<td>Villingen, CH</td>
<td>5 days</td>
<td>Paul Scherrer Institute</td>
<td>Feb/Mar 2026</td>
<td>
<p>2-6 Feb</p>
</td>
</tr>
</tbody>
</table>
<h4>Small Angle Scattering and Tensor Tomography</h4>
<p>The winter school covers a general introduction into Small-Angle Scattering, the focus will be on SAXS tensor tomography, including experimental set-up, practicalities during the experiment, in-depth exercises for using the reconstruction algorithms as well as data visualisation. Apart from the lectures and exercises, we will visit the large-scale facilities of PSI, in particular the cSAXS beamline where the SAXS tensor tomography is implemented.</p>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>2. General Assembly</td>
<td>Leiden, NL</td>
<td>lunch-lunch</td>
<td>University of Leiden</td>
<td>Aug/Sept 2026</td>
<td>
<p>TBD</p>
</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>Job Fair</td>
<td>Leiden, NL</td>
<td> </td>
<td>University of Leiden</td>
<td>Aug/Sept 2026</td>
<td>
<p>TBD</p>
</td>
</tr>
</tbody>
</table>
<p> </p>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>Outreach Conference</td>
<td>Copenhagen, DK</td>
<td>&nbsp;</td>
<td>Technical University of Denmark</td>
<td>&nbsp;</td>
<td>
<p>Jan 2027&nbsp;&nbsp;</p>
</td>
</tr>
</tbody>
</table>
<p>&nbsp;</p>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>3. Workshop&nbsp;</td>
<td>Manchester, UK</td>
<td>2 days</td>
<td>University of Manchester/Thermofisher Scientific, France (FEI)</td>
<td>Feb/Mar 2025</td>
<td>
<p>10-11 April</p>
</td>
</tr>
</tbody>
</table>
<h4>Advanced composite materials, their mechanics and multifunctionality</h4>
<p>The workshop covers fibre reinforced composite materials, their constituents, manufacture, material architecture and properties. The DCs will learn the role of the constituents and fibre architectures (unidirectional (UD) and three-dimensional (3D) woven composites); SOTA processing techniques for composite materials; mechanics of composites and modelling approaches from micro mechanics to classical laminate theory and numerical methods for structural analyses; and structural battery composites and their multifunctional performance. The training will interlace theoretical and experimental activities, followed by discussions on their wider application and need for characterization in the context of the RELIANCE network activities.</p>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>2. General Assembly</td>
<td>Manchester, UK</td>
<td>lunch-lunch</td>
<td>University of Manchester&nbsp;</td>
<td>Feb/Mar 2025</td>
<td>
<p>7-8&nbsp;April</p>
</td>
</tr>
</tbody>
</table>

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<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>2. General Assembly&nbsp;</td>
<td>Leiden, NL</td>
<td>lunch-lunc</td>
<td>University of Leiden</td>
<td>Sept 2024</td>
<td>9 Sept</td>
</tr>
</tbody>
</table>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>2. Workshop<em>Dynamic systems imaging</em></td>
<td>Leiden, NL</td>
<td>3 days</td>
<td>University of Leiden</td>
<td>Sept 2024</td>
<td>4-6 Sept</td>
</tr>
</tbody>
</table>
<h4>3D imaging of dynamical systems</h4>
<p>In recent years, a growing interest has emerged in capturing the dynamics of the evolving object, creating a 4D (space + time) movie of the object dynamics as it undergoes the scan. This opens up a broad range of applications related to in situ observations of physical and chemical processes. Most theory on inverse problems in 3D imaging has been developed under the assumption that the object is constant over time. To create a 3D movie of the object evolution, completely new mathematical and computational techniques must be developed that combine the two worlds of Dynamical Systems theory (describing the object evolution) and Linear/Nonlinear Inverse Problems.</p>
<p>In this 3D workshop, which will also be accessible for selected leading experts from outside the network, results and new directions will be discussed for developing mathematical techniques, algorithms, and software implementations that focus on dealing with 3D imaging data that changes over time.</p>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>2. Workshop</td>
<td>Leiden/Amsterdam, NL</td>
<td>2 days</td>
<td>University of Leiden/Stichting Nederlandse Wetenschappeluk Onderzoek Instituten</td>
<td>Sep 2024</td>
<td>2-3 Sep</td>
</tr>
</tbody>
</table>
<h4>Advanced Tomographic Reconstruction using ASTRA</h4>
<p>The ASTRA Toolbox is a powerful, open-source toolbox that can be used to create advanced tomography algorithms and specify algorithms in a high-level mathematical language, while performing the internal computations with high efficiency. In this training school, ASTRA and certain additional toolboxes such as the Matlab SPOT operators for ASTRA and Tomosipo, will be introduced and the DCs will follow a series of hands-on tutorials to obtain skills in tomography algorithm development using these powerful tools.</p>
<p>The DCs will learn to work with using ASTRA in Jupyter notebooks and, in addition, to the algorithmic aspects, will be trained in how to document computational experiments in a reproducible manner.</p>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>Summer school, <em>Cinemax</em></td>
<td>Copenhagen, DK</td>
<td>5 days</td>
<td>Technical University of Denmark</td>
<td>Aug 2024</td>
<td>26-30 Aug</td>
</tr>
</tbody>
</table>

<p>Copenhagen, DK</p>
<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>1. General Assembly<br>Midterm review<br>Visit from PO</td>
<td>Copenhagen, DK</td>
<td>lunch-lunch</td>
<td>Technical University of Denmark</td>
<td>Apr 2024</td>
<td>23-24 April</td>
</tr>
</tbody>
</table>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>Workshop</td>
<td>Copenhagen, DK</td>
<td>lunch-lunch</td>
<td>Technical University of Denmark</td>
<td>Apr 2024</td>
<td>22-23 April</td>
</tr>
</tbody>
</table>
<h4>Ethics and AI</h4>
<p>Machine learning is widely used in RELIANCE, and the several DCs will become deep learning experts. Since the purpose of machine learning algorithms is to train a model can infer information reflecting the training data, the trained models will have the same type of biases as the training data. It is essential to understand that such biases will be incorporated, the potential effects these can have and how they can be counteracted. The direct implication in RELIANCE relates to generalizability of the applied models, which influences predicted material properties. But deep learning models, as used in RELIANCE, are also used in systems that can have unfair or biased effects that compromises ethical and democratic values. Therefore, it is essential for the DCs in RELIANCE to lean about bias and fairness in AI.</p>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>Kick Off meeting</td>
<td>Copenhagen, DK</td>
<td>lunch-lunch</td>
<td>Technical University of Denmark</td>
<td>Nov 2023</td>
<td>20-21 Nov</td>
</tr>
</tbody>
</table>

<table border="1">
<tbody>
<tr>
<td>Event</td>
<td>Location</td>
<td>Duration</td>
<td>Lead Inst.</td>
<td>Action Month</td>
<td>Dates set</td>
</tr>
<tr>
<td>Summer school, <em>Cinemax</em></td>
<td>Copenhagen, DK</td>
<td>5 days</td>
<td>Technical University of Denmark</td>
<td>Aug 2023</td>
<td>11-15 Aug</td>
</tr>
</tbody>
</table>
<h4>3D modelling and Imaging of Material Microstructure</h4>
<p>Teaching and exercises take place in close interaction with top experts in the field. Topics covered at the summer school include analysis techniques for imaging applications including tomographic reconstruction techniques, image segmentation, image characterization, and simulation. The school recognizes the fact that imaging of materials is a cross disciplinary science where researchers must master both materials science and mathematical modelling. Students will get hands on experience with the complete workflow of high-resolution tomography analysis. The 5 days at the school gives an introduction to data acquisition; 3D reconstruction; segmentation and meshing; materials characterization and 3D modelling of data to extract physical parameters describing flow or mechanical properties.</p>

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See programme page at universityadmissions.se

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RELIANCE

Event calendar

Upcoming Events

17-18 November 2025, 4. General Assembly, Gothenburg, SE

19-21 November 2025, 4. Workshop, Gothenburg, SE

28-29 January 2026, 5. General Assembly, Villingen, CH

30 January 2026, 5. Workshop, Villingen, CH

2-6 February 2026, Winter school, Villingen, CH

Aug/Sep 2026, 6. General Assembly, Leiden, NL

Aug/Sep 2026, Job Fair, Leiden, NL

January 2027, Outreach Conference, Copenhagen, DK

Previous events, most recent on top

10-11 April 2025, 3. Workshop, Manchester, UK

7-8 April 2025, 3. General Assembly, Manchester, UK

9 September 2024, 2. General Assembly, Leiden, NL

4-6 September 2024, 2. Workshop, Leiden, NL

2-3 September, 2024, 2. Workshop, Leiden/Amsterdam, NL

26-30 August, 2024, Summer school, Copenhagen, DK

23-24 April, 2024, 1. General Assembly, Copenhagen, DK

22-23 April, 2024, 1. Workshop, Copenhagen, DK

20-21 November 2023, Kick Off meeting, Copenhagen, DK

11-15 August 2023 Summer school, Copenhagen, DK