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New Joiners Drinks at Mooie Boules March

New Joiners Drinks at Mooie Boules March 19 March 2024 17:30 till 19:45 - Location: Mooie Boules Delft | Add to my calendar New to Delft? Welcome! We understand how overwhelming it can be for new international employees (and their partners) to move to a new country, start a new job, and begin building a new community. Over a couple drinks and tasty snacks, at New Joiners Drinks , you will: Socialize with other internationals who have recently arrived and who are going through similar experiences as you Meet members of the Coming to Delft Service who will continue to assist you with your transition Learn about useful resources for expats in the Netherlands Play a few games of "Jeu de Boules"! Who International TU Delft employees and their partners When Tuesday, 19 March from 17:30-19:45 Location Mooie Boules Delft Professor Schermerhornstraat 9-11 2628 CN Delft Click here for directions Cancellation policy Out of respect for the staff, vendors, and participants on the waiting list, we kindly ask that you let us know at least 24 hours in advance if you are unable to join. Registration Please register here by 12 March. If you are not registered and on the list you will be welcome to join but not eligible for a free drink, so if you are coming with your partner, please make sure you fill in the registration form once for every participant. Please send us an email at Events-ComingtoDelftServices@tudelft.nl if you have any questions or if there is anything you would like to tell us.

Milad Kolagar

IDE Research Course

This course is required for all PhD candidates at the faculty of IDE. It can be an elective course for PhD candidates from other design faculties. The faculty of IDE has had a special PhD research course for over a decade, because working in this interdisciplinary area brings with it a wide range of opportunities and challenges. We often work across academic communities, and use methods from various backgrounds. Aim of the course The aim of this course is to help you find a position within the field of design research, to learn about the research culture(s) in the IDE field, to get familiar with the wider research community at IDE, and to strengthen your peer network. The course provides an overview of the variety of research approaches in design research. The course focuses on research skills related to the work of the PhD candidates themselves, and on the research spectrum present at IDE. We recommend to take this course during the first year of your PhD project. Course modules The course consists of 10 modules (2-3 hours each). Each module covers a different aspect of the research at IDE and is developed and taught by a pair of senior researchers from IDE. A module contains: an introduction of its topic, basic theory about it, examples from the breadth of IDE research projects, some pointers for further study, an exercise related to the participant's own research GS credits You will get 5 GS credits in the discipline related skills category for attending the IDE Research Course. Attendance of all course modules is necessary to pass the course, so have the attendance list signed for each module. Please note that you have to do all modules within one year time. If it is not possible for you to attend a particular module within a run, you get the opportunity to attend that module in the next run of the course. Participation The course is obligatory for all PhD candidates in the IDE Graduate School who have to participate in the Doctoral Education programme. Each edition of the course has a maximum capacity of 20 participants. PhD candidates who don't have to do Doctoral Education can also participate in the course, but candidates with Doctoral Education obligation will get priority. Brochure All information about the IDE Research Course can be found in this brochure. Click to download. Dates upcoming edition Due to several reasons the IDE Research Course will not be organised in Spring 2024. For more information see IDE PhD community teams. The next edition will take place in Fall 2024.

CAMlab

Computer Aided Modelling / Manufacturing lab The CAMlab houses multiple machines for digital fabrication, which are used for the production of scale models and parts for technical prototypes. We have lasercutters, 3D printers and two CNC-milling machines. All the machines are operated by the staff and assignments are done in collaboration with the student. Lasercutting The lasercutters can cut through plates of wood, paper and some plastics, to a maximum thickness of 6mm. The cutting and engraving pattern is sent by a 2D-CAD drawing. The price for lasercutting is € 30 per hour, and you pay per minute. The time it takes to cut materials depends on the amount of cutting and engraving lines, the type of material and the thickness. Please read the drawing manual or contact the staff for preparing the laserfiles. Please mind: During presentation periods the waiting time for your order can be up to 3 weeks so make sure plan accordingly. An estimation of the current waiting time can be found next to the CAMlab entrance. All the files you need for lasercutting can be found here: Order form Lasertemplate 3D printing The 3D printers are used to make parts that are difficult to produce by hand. In the lab we have two different types of 3D printers, one uses extruded plastic (PLA) and builds up the model using this material. This produces a model that is strong and can be easily adjusted. The other printer uses a type of gypsum powder, and produces a smoother surface but is more fragile and difficult to further process. Keep in mind that for 3D printing you need a closed 3D model without holes or open edges in the geometry. Orderform 3D printing CNC-milling CNC-milling is one of the more difficult techniques, and we kindly ask students to contact us in an early phase of their project. This way we can discuss a detailed plan on how to approach the final result, taking in account materials, level of details and technical drawings. Orderform CNC-milling Orders Please hand in your orders in person between 9:00 and 11:00 at the Camlab. Only use the email if you're unable to come in person. When you hand in your order we will check the file to see if there might be any problems. And we will notify you by email when your order is ready. Bob de Boer + 31 (0) 15 2786540 B.J.deBoer@tudelft.nl BG.Zuid.080 Universal X2-660 and X-660 lasermachines ISEL Flatcom milling machine 3DSYSTEMS ProJet 360 / Dimension Elite Ultimaker 3, Ultimaker 2+, Ultimaker 2 Extended

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New LDE trainee in D&I office

Keehan Akbari has started since the beginning of September as a new LDE trainee in the Diversity and Inclusion office. What motivated him to work for the D&I office, what does he expect to achieve during this traineeship? Read the short interview below! What motivated you to pursue your LDE traineeship in Diversity and Inclusion office of the TU Delft? I completed both bachelor's and master's degrees in Cultural Anthropology and Development Sociology at Leiden University. Within these studies, my main area of interest was in themes of inclusion and diversity. After being hired as a trainee for the LDE traineeship, and discovering that one of the possible assignments belonged to the Diversity and Inclusion office, my choice was quickly made. I saw this as an excellent opportunity to put the theories I learned during my studies into practice. What specific skills or experiences do you bring to the D&I office that will help promote inclusivity on campus? I am someone who likes to connect rather than polarize, taking into account the importance of different perspectives and stakeholders. I believe that this is how one can achieve the most in fostering diversity and inclusion. You need to get multiple parties on board to get the best results. What are your main goals as you begin your role here, and how do you hope to make an impact? An important goal for me this year is to get students more involved in diversity and inclusion at the university. One way I will try to accomplish this is by contributing to the creation of D&I student teams. By establishing a D&I student team for faculties, it will be possible to deal with diversity- and inclusion-related issues that apply and relate to the specific department. How do you plan to engage with different (student) communities within the university? Since I am new to TU Delft, the first thing I need to do is expand my network here. Therefore, I am currently busy exploring the university and getting to know various stakeholders. Moreover, I intend to be in close contact with various student and study organizations to explore together how to strengthen cooperation on diversity and inclusion. Welcome to the team Keehan and we wish you lots of success with your traineeship!

Researchers from TU Delft and Cambridge University collaborate on innovative methods to combat Climate Change

For over a year and a half, researchers from TU Delft and the Cambridge University Centre for Climate Repair have worked together on groundbreaking techniques to increase the reflectivity of clouds in the fight against global warming. During a two-day meeting, the teams are discussing their progress. Researchers at Cambridge are focusing on the technical development of a system that can spray seawater, releasing tiny salt crystals into the atmosphere to brighten the clouds. The team from TU Delft, led by Prof. Dr. Ir. Herman Russchenberg, scientific director of the TU Delft Climate Action Program and professor of Atmospheric Remote Sensing, is studying the physical effects of this technique. Prof. Russchenberg emphasizes the importance of this research: "We have now taken the first steps towards developing emergency measures against climate change. If it proves necessary, we must be prepared to implement these techniques. Ideally, we wouldn't need to use them, but it's important to investigate how they work now." Prof. Dr. Ir. Stefan Aarninkhof, dean of the Faculty of Civil Engineering and Geosciences, expresses pride in the team as the first results of this unique collaboration are becoming visible. If the researchers in Delft and Cambridge can demonstrate the potential of the concept, the first small-scale experiments will responsibly begin within a year. This research has been made possible thanks to the long-term support from the Refreeze the Arctic Foundation, founded by family of TU Delft alumnus Marc Salzer Levi . Such generous contributions enable innovative and high-impact research that addresses urgent global challenges like climate change. Large donations like these enable the pursuit of innovative, high-impact research that may not otherwise be feasible, demonstrating how our collective effort and investment in science can lead to real, transformative solutions for global challenges like climate change. Climate-Action Programme

How system safety can make Machine Learning systems safer in the public sector

Machine Learning (ML), a form of AI where patterns are discovered in large amounts of data, can be very useful. It is increasingly used, for example, in chatbot Chat GPT, facial recognition, or speech software. However, there are also concerns about the use of ML systems in the public sector. How do you prevent the system from, for example, discriminating or making large-scale mistakes with negative effects on citizens? Scientists at TU Delft, including Jeroen Delfos, investigated how lessons from system safety can contribute to making ML systems safer in the public sector. “Policymakers are busy devising measures to counter the negative effects of ML. Our research shows that they can rely much more on existing concepts and theories that have already proven their value in other sectors,” says Jeroen Delfos. Jeroen Delfos Learning from other sectors In their research, the scientists used concepts from system safety and systems theory to describe the challenges of using ML systems in the public sector. Delfos: “Concepts and tools from the system safety literature are already widely used to support safety in sectors such as aviation, for example by analysing accidents with system safety methods. However, this is not yet common practice in the field of AI and ML. By applying a system-theoretical perspective, we view safety not only as a result of how the technology works, but as the result of a complex set of technical, social, and organisational factors.” The researchers interviewed professionals from the public sector to see which factors are recognized and which are still underexposed. Bias There is room for improvement to make ML systems in the public sector safer. For example, bias in data is still often seen as a technical problem, while the origin of that bias may lie far outside the technical system. Delfos: “Consider, for instance, the registration of crime. In neighbourhoods where the police patrol more frequently, logically, more crime is recorded, which leads to these areas being overrepresented in crime statistics. An ML system trained to discover patterns in these statistics will replicate or even reinforce this bias. However, the problem lies in the method of recording, not in the ML system itself.” Reducing risks According to the researchers, policymakers and civil servants involved in the development of ML systems would do well to incorporate system safety concepts. For example, it is advisable to identify in advance what kinds of accidents one wants to prevent when designing an ML system. Another lesson from system safety, for instance in aviation, is that systems tend to become more risky over time in practice, because safety becomes subordinate to efficiency as long as no accidents occur. “It is therefore important that safety remains a recurring topic in evaluations and that safety requirements are enforced,” says Delfos. Read the research paper .