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Dr. ir. S. Grünewald

Steffen Grünewald is an Assistant Professor for the Concrete Structures Group of Delft University of Technology, a Guest Professor for the Laboratory Magnel for Concrete Research of Ghent University and R&D Manager of the Innovation Centre for Sustainable Construction. He studied Civil Engineering at Darmstadt University of Technology (DE). In 1999, he started as a researcher of the Concrete Structures Group of Delft University of Technology. In 2004, he completed his PhD-thesis on self-compacting fibre reinforced concrete and in 2005, a post-doctoral research on the effect of viscosity agents on self-compacting concrete. For his PhD-thesis, he was awarded 2007 the ‘fib Diploma to Younger Engineers’ (Winner category 'Research’), the international award that rewards the best PhD-thesis in the field of concrete and concrete structures. In the period 2005-2013, he was part-time Head of the Material and Quality Department of Hurks Prefabbeton, a Dutch producer of prefabricated concrete elements. Since 2005, he has been working as an Assistant Professor for the Concrete Structures Group (Section of Structural and Building Engineering) with the research focus of the development, optimisation and modelling of special concrete types like highly flowable, sustainable and/or (ultra) high performance concretes; the development, optimisation and modelling of special concrete types like highly flowable, sustainable and/or (ultra) high performance concretes; the integration of mix design, rheological characteristics, production optimisation and efficient and safe structural behaviour With regard to research projects he is actively fund raising, coordinating and supervising both on national and European level; he (co)authored 140 scientific publications. He is a member of several RILEM- and fib-committees related to the standardisation and the promotion of high performing and sustainable concretes and convenor of fib Task-group 4.3 ‘Structural Design with Flowable Concrete’. Education 1999: Civil Engineer, Technische Universität Darmstadt, Darmstadt (D) 2004: PhD research, Delft University of Technology, Delft (NL) 2010: International Welding Engineer (IWE), WTT Lasopleidingen Rotterdam (NL) Work Experience 1999 - 2004: PhD-research, Delft University of Technology (NL); 2004 - 2005: Postdoctoral researcher, Delft University of Technology (NL); 2005 - 2013: Head of Quality and Material Department, Hurks Prefabbeton, Veldhoven (NL); 2014 - 2016: Postdoctoral researcher, Magnel Laboratory for Concrete Research, Ghent University (BE); 2005 - today: Assistant Professor, Concrete Structures Group, Delft University of Technology (NL); 2014 - today: R&D Manager, Innovation Centre for Sustainable Construction, CRH Europe, Amsterdam (NL); 2016 - today: Guest Professor, Magnel Laboratory for Concrete Research, Ghent University (BE). Teaching Concrete Technology (Ghent University, Bachelor-program); Supervision of research (PhD-students, Bachelor and Master students). Research Optimisation and structural behaviour of fibre concrete and concrete with high flowability (i.e. ultra high strength concrete, self-compacting concrete (SCC), SCC with fibres); Composite-materials and -structures; Rheology and flow simulation; Structural design with new concrete types. Committee membership fib TG 4.2: ‘Ultra High Performance Fibre Reinforced Concrete’ (Member); fib TG 4.3: ‘Structural design with flowable concrete’ (Convenor); fib TG 4.5: ‘Performance-based specifications for concrete’ (Member); RILEM-Technical Committee TC-DFC: ‘Digital fabrication with cement-based materials' (Member); RILEM-Technical Committee TC-MRP: ‘Measuring Rheological Properties of Cement-based Materials' (Member); CUR Working Group ‘Geopolymer Concrete’ (Member). Special awards/prizes ‘Elkem-Grant’, Outstanding paper and presentation, RILEM-conference ‘Self-compacting concrete in Reykjavik/Iceland 2003; ‘fib Diploma to Younger Engineers’, Winner ‘Category Research’ 2007; Winner Competition Dutch Ministery ‘Rijkswaterstaat’'Repair of steel bridges with less effect on traffic’ 2009, with Hurks Prefabbeton; Dutch Concrete Awards; Winner: 2007 (Category: Execution), 2009 (Oeuvre Award), 2013 (Category: Execution); Nominations (2005 en 2009), with Hurks Prefabbeton. References Grünewald, S. (2004). “Performance-based design of self-compacting fibre reinforced concrete”, PhD-thesis, Delft University of Technology, Department of Structural and Building Engineering, Delft University Press, ISBN: 9040724873 Grünewald, S., Walraven, J.C. (2011). “Maximum Fiber Content and Passing Ability of Self-Consolidating Fiber-Reinforced Concrete”, In: Fiber-Reinforced Self-Consolidating Concrete: Research and Applications, ACI Symposium Publication, ISBN: 0-87031-398-3, p. 15-30 Laranjeira, F., Grünewald, S., Walraven, J., Blom, C., Molins, C., Aguado, A. (2011). “Characterization of the orientation profile of steel fiber reinforced concrete”, Journal of Materials and Structures (DOI: 10.1617/s11527-010-9686-s) Grünewald, S. (2012). “Fibre reinforcement and the rheology of concrete”, in: Understanding the rheology of concrete, Editor: N. Roussel, Woodhead Publishing Limited, ISBN: 978-0-85709-028-7, p. 229-256 Grünewald, S., Ferrara, F., Dehn, F. (2014). “Optimization of flowable concrete for structural design; Progress report of fib Task Group 8.8”, Proceedings of Concrete Innovation Conference (CIC2014), Oslo, ISBN: 978-82-8208-0415, p. 69 (Paper on CD) Blanco Alvarez, A., Cavalaro, S., Fuente, A. de la, Grünewald, S., Blom, C.B.M., Walraven, J.C. (2014). “Application of FRC constitutive models to modelling of slabs”, Materials and Structures, 48, pp. 2943–2959 Grünewald, S., De Schutter, G. (2016). “Effect of the mix design of self-compacting concrete”, Concrete Plant International, 5/2016, p. 46-50 Sonebi, M., Grünewald, S., Cevik, A., Walraven, J. (2016). “Neural network technique: modelling fresh properties of self-compacting concrete”, Computers and Concrete, DOI: 10.12989/cac.2016.18.4.903, Vol. 18, No. 4, pp. 903-920 Schipper, R., Grünewald, S., Troian, S., Prashanth, R., Schlangen, E., Çopuroğlu, O. (2017). “Assessment of concrete characteristics during the deliberate deformation of a flexible mould after casting”, in: Pecur, I.B. et al. (Eds.), Construction Materials For Sustainable Future, Proceedings of the 1 st Int. Conference CoMS_2017, Zadar, Croatia, ISBN: 978-953-8168-04-8, p. 255-261 Van Der Vurst, F., Grünewald, S., Feys, D., Lesage, K., Vandewalle, L., Vantomme, J., De Schutter, G. (2017). “Effect of the mix design on the robustness of fresh self-compacting concrete”, Cement and Concrete Composites, 82, pp. 190-201 More information click here Steffen Grünewald (+31) (0)15 2784580 S.Grunewald@tudelft.nl Department Engineering Structures Concrete Structures Building 23 - Room S2 1.05 Publications: Pure

Healthcare and population health: AI research in Leiden, Delft and Rotterdam

Healthcare and population health: AI research in Leiden, Delft and Rotterdam ‘Our health is the area that stands to gain most from artificial intelligence.’ The three universities in Zuid-Holland are helping make these gains. Three researchers talk about their collaborative research into AI for health, drug discovery and healthcare in the AI knowledge cluster in Zuid-Holland. Part 4 in a series about five themes in which three universities and two medical centres are conducting AI-related research. ‘People, professionals and society as a whole are increasingly confronted with it: artificial intelligence in or around health and healthcare. Our health is the area that stands to gain most from artificial intelligence.’ These are the words of Alessandro Bozzon , who as Professor of Human-Centred Artificial Intelligence researches a wide range of AI applications. He is Head of the Department of Sustainable Design Engineering at Delft University of Technology (TU Delft) and conducts research into smart cities, among other things. ‘AI helps gain a richer picture based on data.’ Support rather than replace This applies to an MRI scan or other diagnostic methods, but equally to the layout of a city. What, for example, are the best green spaces for an older population? AI can also help plan care so that scarce operating theatre staff are used as efficiently as possible. Bozzon emphasises that AI will never replace humans in healthcare. ‘It only supports them. The machine helps the human to function, and vice versa.’ As health is such a wide topic, the participants in this theme distinguish between five focus areas: AI-accelerated Drug Discovery and Life Sciences AI-assisted Population Health improvement AI-assisted Healthcare Teams Human-AI Partnership in hospital and home AI-assisted health care system Unafraid of sharing ideas In general, scientists will always manage to find one another when it comes to fruitful collaboration, says Gerard van Westen . He is Professor of AI and Medicinal Chemistry in Leiden and has been conducting multidisciplinary research in the field of AI-assisted drug development for a few years now. ‘Existing networks mean we can act fast and aren’t afraid to share ideas. We don’t see colleagues from other institutes as competitors.’ However, Van Westen adds, it can make a refreshing change to meet new people within the Zuid-Holland universities and see how you can take each other and the field forward. ‘Leiden has a lot of expertise in the field of chemistry and small molecules. Delft is way ahead with automation and robotics, and Erasmus has lots of valuable patient datasets that AI systems can learn from. And it’s been great to get to know Catholijn Jonker , for instance. Great person! She sees opportunities and has a fresh outlook,’ say Van Westen about this Delft professor of hybrid intelligence. The soft side is essential Within the AI and health focus group, there is plenty of room for the ‘softer side’ in the form of social sciences. That is a development that Moniek Buijzen is seeing more often. She is Professor of Behavioural Change at Erasmus University Rotterdam. ‘We behavioural scientists are now being involved in projects from the outset, and that provides opportunities. It prevents you from finding out afterwards that an innovation doesn’t suit the users at all.’ On the other hand, Buijzen can see her field becoming increasingly ‘hard’. She uses the algorithms that social media uses to serve people up with what they find interesting. ‘If you manage to create the right buzz online with, for example, fun challenges that encourage healthy behaviour... Then you’ll really get somewhere!’ Gigantic marketing budgets Buijzen cleverly turns things around. If marketing and influencers can seduce us to do anything, can they also seduce people into healthy behaviour? It is difficult to compete with the gigantic marketing budgets in the food industry and the enormous influence of advertising on children, but she’s plugging away at it anyway. What role do influential children have in a class or neighbourhood and how can you use them to promote healthy behaviour? Below are a few examples of the work of each of the three professors: AI-related research in health. Superb land-registry data shows where 1.5m distancing was difficult TU Delft - Alessandro Bozzon In 2020 we suddenly had to keep 1.5m apart from others. Decisionmakers who were responsible for public spaces had a problem: where should they adopt measures and which ones? Where is it difficult to maintain this distance and where are the hotspots where people gather? Artificial intelligence offered a solution, says Alessandro Bozzon . ‘It only works if you have lots of good data, and that’s what we had. The land registry has superb data about roads and narrow pavements as well as about restaurants and other places where people gather. This allowed us to simulate mobility and calculate the likelihood of problems occurring at location X.’ This is how knowledge about the environment can help develop a smart city, one of Bozzon’s focal points. ‘You can also use such a system to see to what extent it’s possible for people in a certain city to take a daily walk in the fresh air. Is there enough green space near every house for such a walk? Where should we intervene? Plenty of data is available from the land registry or Statistics Netherlands (CBS). If we make good use of this, it can help improve people’s health.’ Healthy young people from deprived areas give the whole neighbourhood a boost Erasmus University Rotterdam - Moniek Buijzen Houses with mould growing on the walls. In deprived neighbourhoods people live much unhealthier lives than they do elsewhere, and young people are less happy and healthy. Moniek Buijzen wants to help tackle the extreme differences in health in the Netherlands. ‘Despite their poor circumstances, some young people manage to lead a good life. How do they do so?’ The answer can help others. On the Planet Rock project, which VU Amsterdam and Leiden University are also participating in, young people and data analysis with AI techniques have taken a leading role even. The researchers hold meetings with young people from disadvantaged neighbourhoods in Amsterdam and Rotterdam. Their main questions are: What does a healthy lifestyle mean to you? What should you focus on? Who are examples to you? Activity trackers and data on the physical, social and cultural environment of these young people also help gain a clear picture on what the situation is and what needs to change. Sometimes you find you can’t go straight for your goal, says Buijzen. ‘From a session on healthy eating behaviour, but also from the perspective of well-being, it became clear that young people struggle with feeling unsafe and unsure on the street and have a negative self-image from social media. We elaborated on this: it makes little sense to promote oranges to a target group that is concerned about their safety on the street.’ Not linear but circular: a new way to develop drugs Leiden University - Gerard van Westen His ambition: a virtual human being, consisting of algorithms that predict what an administered substance does in our body. Gerard van Westen is already well on the way . He is developing a system based on millions of measurements that have been made into how substance X reacts to body protein Y. This data is teaching an algorithm to predict how other potentially effective chemical structures would respond to the thousands of relevant proteins in the body. This is an enormous help to drug developers. ‘You know which direction to look for a good drug.’ Each part of the drug discovery chain is already supported by AI. From developing possible medicinal substances that can then be tested in a petri dish, animals and humans to personalised predictions of what the side-effects might be once the drug is actually in use. There is automatic data analysis, robot synthesis, safety prediction and much more. Once the chain has been completed and a new drug is on the market, this too provides new data for Van Westen’s virtual human. New information on how the new drug reacts with all the relevant proteins in the body is added to his model, and its predictions become even better. These in turn make the start of the drug discovery chain – making molecules that might be effective – more efficient. ‘This means that drug development is no longer linear but circular. With artificial intelligence in the middle of the circle.’ Five themes packed with AI research in Zuid-Holland This article is part four in a series showing how research and teaching with or into AI plays a role at Erasmus University Rotterdam, Leiden University and TU Delft. The articles cover the following five themes, on which the universities work together and alongside one another: AI for peace, justice and security AI for port and maritime AI for energy and sustainability AI for life sciences and health AI for smart industry Text: Rianne Lindhout This content is being blocked for you because it contains cookies. Would you like to view this content? By clicking here , you will automatically allow the use of cookies.

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Dr. ir. S. Grünewald

Steffen Grünewald is an Assistant Professor for the Concrete Structures Group of Delft University of Technology, a Guest Professor for the Laboratory Magnel for Concrete Research of Ghent University and R&D Manager of the Innovation Centre for Sustainable Construction. He studied Civil Engineering at Darmstadt University of Technology (DE). In 1999, he started as a researcher of the Concrete Structures Group of Delft University of Technology. In 2004, he completed his PhD-thesis on self-compacting fibre reinforced concrete and in 2005, a post-doctoral research on the effect of viscosity agents on self-compacting concrete. For his PhD-thesis, he was awarded 2007 the ‘fib Diploma to Younger Engineers’ (Winner category 'Research’), the international award that rewards the best PhD-thesis in the field of concrete and concrete structures. In the period 2005-2013, he was part-time Head of the Material and Quality Department of Hurks Prefabbeton, a Dutch producer of prefabricated concrete elements. Since 2005, he has been working as an Assistant Professor for the Concrete Structures Group (Section of Structural and Building Engineering) with the research focus of the development, optimisation and modelling of special concrete types like highly flowable, sustainable and/or (ultra) high performance concretes; the development, optimisation and modelling of special concrete types like highly flowable, sustainable and/or (ultra) high performance concretes; the integration of mix design, rheological characteristics, production optimisation and efficient and safe structural behaviour With regard to research projects he is actively fund raising, coordinating and supervising both on national and European level; he (co)authored 140 scientific publications. He is a member of several RILEM- and fib-committees related to the standardisation and the promotion of high performing and sustainable concretes and convenor of fib Task-group 4.3 ‘Structural Design with Flowable Concrete’. Education 1999: Civil Engineer, Technische Universität Darmstadt, Darmstadt (D) 2004: PhD research, Delft University of Technology, Delft (NL) 2010: International Welding Engineer (IWE), WTT Lasopleidingen Rotterdam (NL) Work Experience 1999 - 2004: PhD-research, Delft University of Technology (NL); 2004 - 2005: Postdoctoral researcher, Delft University of Technology (NL); 2005 - 2013: Head of Quality and Material Department, Hurks Prefabbeton, Veldhoven (NL); 2014 - 2016: Postdoctoral researcher, Magnel Laboratory for Concrete Research, Ghent University (BE); 2005 - today: Assistant Professor, Concrete Structures Group, Delft University of Technology (NL); 2014 - today: R&D Manager, Innovation Centre for Sustainable Construction, CRH Europe, Amsterdam (NL); 2016 - today: Guest Professor, Magnel Laboratory for Concrete Research, Ghent University (BE). Teaching Concrete Technology (Ghent University, Bachelor-program); Supervision of research (PhD-students, Bachelor and Master students). Research Optimisation and structural behaviour of fibre concrete and concrete with high flowability (i.e. ultra high strength concrete, self-compacting concrete (SCC), SCC with fibres); Composite-materials and -structures; Rheology and flow simulation; Structural design with new concrete types. Committee membership fib TG 4.2: ‘Ultra High Performance Fibre Reinforced Concrete’ (Member); fib TG 4.3: ‘Structural design with flowable concrete’ (Convenor); fib TG 4.5: ‘Performance-based specifications for concrete’ (Member); RILEM-Technical Committee TC-DFC: ‘Digital fabrication with cement-based materials' (Member); RILEM-Technical Committee TC-MRP: ‘Measuring Rheological Properties of Cement-based Materials' (Member); CUR Working Group ‘Geopolymer Concrete’ (Member). Special awards/prizes ‘Elkem-Grant’, Outstanding paper and presentation, RILEM-conference ‘Self-compacting concrete in Reykjavik/Iceland 2003; ‘fib Diploma to Younger Engineers’, Winner ‘Category Research’ 2007; Winner Competition Dutch Ministery ‘Rijkswaterstaat’'Repair of steel bridges with less effect on traffic’ 2009, with Hurks Prefabbeton; Dutch Concrete Awards; Winner: 2007 (Category: Execution), 2009 (Oeuvre Award), 2013 (Category: Execution); Nominations (2005 en 2009), with Hurks Prefabbeton. References Grünewald, S. (2004). “Performance-based design of self-compacting fibre reinforced concrete”, PhD-thesis, Delft University of Technology, Department of Structural and Building Engineering, Delft University Press, ISBN: 9040724873 Grünewald, S., Walraven, J.C. (2011). “Maximum Fiber Content and Passing Ability of Self-Consolidating Fiber-Reinforced Concrete”, In: Fiber-Reinforced Self-Consolidating Concrete: Research and Applications, ACI Symposium Publication, ISBN: 0-87031-398-3, p. 15-30 Laranjeira, F., Grünewald, S., Walraven, J., Blom, C., Molins, C., Aguado, A. (2011). “Characterization of the orientation profile of steel fiber reinforced concrete”, Journal of Materials and Structures (DOI: 10.1617/s11527-010-9686-s) Grünewald, S. (2012). “Fibre reinforcement and the rheology of concrete”, in: Understanding the rheology of concrete, Editor: N. Roussel, Woodhead Publishing Limited, ISBN: 978-0-85709-028-7, p. 229-256 Grünewald, S., Ferrara, F., Dehn, F. (2014). “Optimization of flowable concrete for structural design; Progress report of fib Task Group 8.8”, Proceedings of Concrete Innovation Conference (CIC2014), Oslo, ISBN: 978-82-8208-0415, p. 69 (Paper on CD) Blanco Alvarez, A., Cavalaro, S., Fuente, A. de la, Grünewald, S., Blom, C.B.M., Walraven, J.C. (2014). “Application of FRC constitutive models to modelling of slabs”, Materials and Structures, 48, pp. 2943–2959 Grünewald, S., De Schutter, G. (2016). “Effect of the mix design of self-compacting concrete”, Concrete Plant International, 5/2016, p. 46-50 Sonebi, M., Grünewald, S., Cevik, A., Walraven, J. (2016). “Neural network technique: modelling fresh properties of self-compacting concrete”, Computers and Concrete, DOI: 10.12989/cac.2016.18.4.903, Vol. 18, No. 4, pp. 903-920 Schipper, R., Grünewald, S., Troian, S., Prashanth, R., Schlangen, E., Çopuroğlu, O. (2017). “Assessment of concrete characteristics during the deliberate deformation of a flexible mould after casting”, in: Pecur, I.B. et al. (Eds.), Construction Materials For Sustainable Future, Proceedings of the 1 st Int. Conference CoMS_2017, Zadar, Croatia, ISBN: 978-953-8168-04-8, p. 255-261 Van Der Vurst, F., Grünewald, S., Feys, D., Lesage, K., Vandewalle, L., Vantomme, J., De Schutter, G. (2017). “Effect of the mix design on the robustness of fresh self-compacting concrete”, Cement and Concrete Composites, 82, pp. 190-201 More information click here Steffen Grünewald (+31) (0)15 2784580 S.Grunewald@tudelft.nl Department Engineering Structures Concrete Structures Building 23 - Room S2 1.05 Publications: Pure

Healthcare and population health: AI research in Leiden, Delft and Rotterdam

Healthcare and population health: AI research in Leiden, Delft and Rotterdam ‘Our health is the area that stands to gain most from artificial intelligence.’ The three universities in Zuid-Holland are helping make these gains. Three researchers talk about their collaborative research into AI for health, drug discovery and healthcare in the AI knowledge cluster in Zuid-Holland. Part 4 in a series about five themes in which three universities and two medical centres are conducting AI-related research. ‘People, professionals and society as a whole are increasingly confronted with it: artificial intelligence in or around health and healthcare. Our health is the area that stands to gain most from artificial intelligence.’ These are the words of Alessandro Bozzon , who as Professor of Human-Centred Artificial Intelligence researches a wide range of AI applications. He is Head of the Department of Sustainable Design Engineering at Delft University of Technology (TU Delft) and conducts research into smart cities, among other things. ‘AI helps gain a richer picture based on data.’ Support rather than replace This applies to an MRI scan or other diagnostic methods, but equally to the layout of a city. What, for example, are the best green spaces for an older population? AI can also help plan care so that scarce operating theatre staff are used as efficiently as possible. Bozzon emphasises that AI will never replace humans in healthcare. ‘It only supports them. The machine helps the human to function, and vice versa.’ As health is such a wide topic, the participants in this theme distinguish between five focus areas: AI-accelerated Drug Discovery and Life Sciences AI-assisted Population Health improvement AI-assisted Healthcare Teams Human-AI Partnership in hospital and home AI-assisted health care system Unafraid of sharing ideas In general, scientists will always manage to find one another when it comes to fruitful collaboration, says Gerard van Westen . He is Professor of AI and Medicinal Chemistry in Leiden and has been conducting multidisciplinary research in the field of AI-assisted drug development for a few years now. ‘Existing networks mean we can act fast and aren’t afraid to share ideas. We don’t see colleagues from other institutes as competitors.’ However, Van Westen adds, it can make a refreshing change to meet new people within the Zuid-Holland universities and see how you can take each other and the field forward. ‘Leiden has a lot of expertise in the field of chemistry and small molecules. Delft is way ahead with automation and robotics, and Erasmus has lots of valuable patient datasets that AI systems can learn from. And it’s been great to get to know Catholijn Jonker , for instance. Great person! She sees opportunities and has a fresh outlook,’ say Van Westen about this Delft professor of hybrid intelligence. The soft side is essential Within the AI and health focus group, there is plenty of room for the ‘softer side’ in the form of social sciences. That is a development that Moniek Buijzen is seeing more often. She is Professor of Behavioural Change at Erasmus University Rotterdam. ‘We behavioural scientists are now being involved in projects from the outset, and that provides opportunities. It prevents you from finding out afterwards that an innovation doesn’t suit the users at all.’ On the other hand, Buijzen can see her field becoming increasingly ‘hard’. She uses the algorithms that social media uses to serve people up with what they find interesting. ‘If you manage to create the right buzz online with, for example, fun challenges that encourage healthy behaviour... Then you’ll really get somewhere!’ Gigantic marketing budgets Buijzen cleverly turns things around. If marketing and influencers can seduce us to do anything, can they also seduce people into healthy behaviour? It is difficult to compete with the gigantic marketing budgets in the food industry and the enormous influence of advertising on children, but she’s plugging away at it anyway. What role do influential children have in a class or neighbourhood and how can you use them to promote healthy behaviour? Below are a few examples of the work of each of the three professors: AI-related research in health. Superb land-registry data shows where 1.5m distancing was difficult TU Delft - Alessandro Bozzon In 2020 we suddenly had to keep 1.5m apart from others. Decisionmakers who were responsible for public spaces had a problem: where should they adopt measures and which ones? Where is it difficult to maintain this distance and where are the hotspots where people gather? Artificial intelligence offered a solution, says Alessandro Bozzon . ‘It only works if you have lots of good data, and that’s what we had. The land registry has superb data about roads and narrow pavements as well as about restaurants and other places where people gather. This allowed us to simulate mobility and calculate the likelihood of problems occurring at location X.’ This is how knowledge about the environment can help develop a smart city, one of Bozzon’s focal points. ‘You can also use such a system to see to what extent it’s possible for people in a certain city to take a daily walk in the fresh air. Is there enough green space near every house for such a walk? Where should we intervene? Plenty of data is available from the land registry or Statistics Netherlands (CBS). If we make good use of this, it can help improve people’s health.’ Healthy young people from deprived areas give the whole neighbourhood a boost Erasmus University Rotterdam - Moniek Buijzen Houses with mould growing on the walls. In deprived neighbourhoods people live much unhealthier lives than they do elsewhere, and young people are less happy and healthy. Moniek Buijzen wants to help tackle the extreme differences in health in the Netherlands. ‘Despite their poor circumstances, some young people manage to lead a good life. How do they do so?’ The answer can help others. On the Planet Rock project, which VU Amsterdam and Leiden University are also participating in, young people and data analysis with AI techniques have taken a leading role even. The researchers hold meetings with young people from disadvantaged neighbourhoods in Amsterdam and Rotterdam. Their main questions are: What does a healthy lifestyle mean to you? What should you focus on? Who are examples to you? Activity trackers and data on the physical, social and cultural environment of these young people also help gain a clear picture on what the situation is and what needs to change. Sometimes you find you can’t go straight for your goal, says Buijzen. ‘From a session on healthy eating behaviour, but also from the perspective of well-being, it became clear that young people struggle with feeling unsafe and unsure on the street and have a negative self-image from social media. We elaborated on this: it makes little sense to promote oranges to a target group that is concerned about their safety on the street.’ Not linear but circular: a new way to develop drugs Leiden University - Gerard van Westen His ambition: a virtual human being, consisting of algorithms that predict what an administered substance does in our body. Gerard van Westen is already well on the way . He is developing a system based on millions of measurements that have been made into how substance X reacts to body protein Y. This data is teaching an algorithm to predict how other potentially effective chemical structures would respond to the thousands of relevant proteins in the body. This is an enormous help to drug developers. ‘You know which direction to look for a good drug.’ Each part of the drug discovery chain is already supported by AI. From developing possible medicinal substances that can then be tested in a petri dish, animals and humans to personalised predictions of what the side-effects might be once the drug is actually in use. There is automatic data analysis, robot synthesis, safety prediction and much more. Once the chain has been completed and a new drug is on the market, this too provides new data for Van Westen’s virtual human. New information on how the new drug reacts with all the relevant proteins in the body is added to his model, and its predictions become even better. These in turn make the start of the drug discovery chain – making molecules that might be effective – more efficient. ‘This means that drug development is no longer linear but circular. With artificial intelligence in the middle of the circle.’ Five themes packed with AI research in Zuid-Holland This article is part four in a series showing how research and teaching with or into AI plays a role at Erasmus University Rotterdam, Leiden University and TU Delft. The articles cover the following five themes, on which the universities work together and alongside one another: AI for peace, justice and security AI for port and maritime AI for energy and sustainability AI for life sciences and health AI for smart industry Text: Rianne Lindhout This content is being blocked for you because it contains cookies. Would you like to view this content? By clicking here , you will automatically allow the use of cookies.
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Students Amos Yusuf, Mick Dam & Bas Brouwer winners of Mekel Prize 2024

Master students Amos Yusuf, from the ME faculty (Mick Dam, from the EEMCS faculty and graduate Bas Brouwer have won the Mekel Prize 2024 for the best extra scientific activity at TU Delft: the development of an initiative that brings master students into the classroom teaching sciences to the younger generations. The prize was ceremonially awarded by prof Tim van den Hagen on 13 November after the Van Hasselt Lecture at the Prinsenhof, Delft. They received a statue of Professor Jan Mekel and 1.500,- to spend on their project. Insights into climate change are being openly doubted. Funding for important educational efforts and research are being withdrawn. Short clips – so called “reels” – on Youtube and TikTok threaten to simplify complex political and social problems. AI fakes befuddle what is true and what is not. The voices of science that contribute to those discussion with modesty, careful argument and scepticism, are drowned in noise. This poses a threat for universities like TU Delft, who strive to increase student numbers, who benefit from diverse student populations and aim to pass on their knowledge and scientific virtues to the next generation. It is, therefore, alarming that student enrolments to Bachelor and Master Programs at TU Delft have declined in the past year. Students in front of the class The project is aimed to make the sciences more appealing to the next generation. They have identified the problem that students tend miss out on the opportunity of entering a higher education trajectory in the Beta sciences – because they have a wrong picture of such education. In their mind, they depict it as boring and dry. In his pilot lecture at the Stanislas VMBO in Delft, Amos Yusuf has successfully challenged this image. He shared his enthusiasm for the field of robotics and presented himself as a positive role model to the pupils. And in return the excitement of the high school students is palpable in the videos and pictures from the day. The spark of science fills their eyes. Bas Brouwer Mick Dam are the founders of NUVO – the platform that facilitates the engagement of Master Students in high school education in Delft Their efforts offer TU Delft Master Students a valuable learning moment: By sharing insights from their fields with pupils at high school in an educational setting, our students can find identify their own misunderstandings of their subject, learn to speak in front of non-scientific audiences and peak into education as a work field they themselves might not have considered. An extraordinary commitment According to the Mekel jury, the project scored well on all the criteria (risk mitigation, inclusiveness, transparency and societal relevance). However, it was the extraordinary commitment of Amos who was fully immersed during his Master Project and the efforts of Brouwer and Dam that brought together teaching and research which is integral to academic culture that made the project stand out. About the Mekel Prize The Mekel Prize will be awarded to the most socially responsible research project or extra-scientific activity (e.g. founding of an NGO or organization, an initiative or realization of an event or other impactful project) by an employee or group of employees of TU Delft – projects that showcase in an outstanding fashion that they have been committed from the beginning to relevant moral and societal values and have been aware of and tried to mitigate as much as possible in innovative ways the risks involved in their research. The award recognizes such efforts and wants to encourage the responsible development of science and technology at TU Delft in the future. For furthermore information About the project: https://www.de-nuvo.nl/video-robotica-pilot/ About the Mekel Prize: https://www.tudelft.nl/en/tpm/our-faculty/departments/values-technology-and-innovation/sections/ethics-philosophy-of-technology/mekel-prize

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