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Health Insurance Information Session

Health Insurance Information Session 18 April 2024 15:30 till 17:00 - Location: online | Add to my calendar Information Session: Dutch basic health insurance for employees and partners Learn about the workings of the Dutch basic health insurance (Public insurance) from advisors of International Insurances. In the session we will explain such as but not limited to: General information of the Dutch basic health insurance, the laws and regulations Types of Dutch basic health insurances Coverage including general practitioner, referrals, pharmacist, specialist care, hospital care Supplemental insurances for dental, physiotherapy, pregnancy, coverage abroad in case of emergency Mandatory excess i.e. deductible (“eigen risico”) and personal contribution (“eigen bijdrage”) If you want to add a topic for the online meeting or you have questions, you can add in your questions at the end of the registration form. These questions will be shared with our presenters prior to the event. Example of one of these topics: Mandatory excess/deductible (“eigen risico”) When you have medical costs, you always have to pay a certain amount yourself. For 2024 this amount is € 385,-. Every calendar year the government decides the maximum of this amount. You usually pay this deductible for medication, tests (like blood test, X ray), specialist care after a referral from a general practitioner and hospital care. Visiting your general practitioner is always paid by the insurance company and does not impact your deductible. About International Insurances: We are International Insurances, powered by Alpina. We are your insurance advisor. You can contact us for all your questions about your insurances and everything related to insurances. Our expertise is health insurance for employees TU Delft, partners and children. If you have specific questions related to your situation such as your personal health or the health of your children, please contact us. You can get in touch with us even if you haven't arrived in the Netherlands yet. We can also set up an online meeting via Teams. You might need a temporary health insurance for the first couple of weeks in the Netherlands! We can help you with this, check our website. How to reach us: Our website dedicated to TU Delft: https://internationalinsurances.nl/tudelft Email: tudelft@internationalinsurances.nl Phone: +31 (0) 88 121 0 221 Who? International employees and their partners at TU Delft who are interested in learning more about the Dutch health insurance. When? Thursday, 18 April 2024 from 15:30 hrs to 17:00 hrs. Online meeting details Instructions on how to participate in this online workshop through Zoom will be shared with participants after registration, three days before the event will take place. Registration How to register? You can sign up here . Deadline for registration is one week prior to the event. If you can’t make it or if you have any other questions, please send an email to Events-ComingtoDelftServices@tudelft.nl .

Zero, One, and Everything in Between – Role of Quantum Computing in Shaping the Future Electric Grid

Zero, One, and Everything in Between – Role of Quantum Computing in Shaping the Future Electric Grid By Amin Khodaei, Professor of Electrical and Computer Engineering, University of Denver 18 March 2024 11:00 till 12:00 - Location: Echo Arena, Building 29 - By: DAI Energy lab | Add to my calendar Abstract Safety, leisure, work, and now more than ever, education, heavily depend on a power grid that can reliably supply and deliver electricity to its customers while supporting other critical lifeline systems. The power grid, however, is becoming increasingly complex. The growing proliferation of intermittent renewable generation resources, the increased frequency and intensity of natural disasters and extreme weather events due to climate change, a rapidly electrifying transportation sector, and cyber vulnerability are just some of the complicating factors. The power grid is reaching the point where traditional grid control and decision-making built on classical computing methods may fail to address its evolving needs. A promising solution to this challenge is quantum computing. This talk highlights the role of quantum computing in building the reliable, resilient, secure, and clean future electric grid and elaborates on the challenges and opportunities expected to emerge along the way. Short Bio Dr. Amin Khodaei is a professor and past chair of the Electrical and Computer Engineering department at the University of Denver. His research is focused on the climate crisis, the grid of the future, and advanced technologies to modernize the grid, including artificial intelligence and quantum computing. He has authored/co-authored over 200 peer-reviewed technical papers, has advised over 40 graduate students and postdoc associates, and has managed over $10 million in grant funding. As an active member of the IEEE, he has served as the technical chair of the 2016 and 2018 IEEE PES T&D Conferences and the technical chair of the 2022 IEEE PES General Meeting. He is the author of the book, the Economics of Microgrids, published by IEEE/Wiley. The AI for Energy and Sustainability (E&S) Think Tank is a series of events hosted by the Delft AI Energy Lab and the PowerWeb Institute . The 2023 Think Tank edition will focus on AI for Distribution Grids and feature the new AI for Energy Grids Lab (part of Innovation Center for AI) with Alliander, Radboud University, University of Twente and TU Delft. Every third Monday between 13:00-14:00 CET, we zoom in on research with either a promising Artificial Intelligence method or their promising use for energy and sustainability challenges, with and by researchers mostly in the Netherlands. You can participate, learn, make connections, inspire and be inspired for new research for AI for E&S. Register here

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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 .