English:In the Netherlands female entrepreneurs and women in tech have structurally less opportunities than men. The latest numbers from October 2020 show that only 1 percent of all venture capital went to female entrepreneurs. The percentage of non-white entrepreneurs that received financing is even below 1 percent. Remarkable numbers if we look at the demographics of the Dutch population and a clear signal that bias is a structural problem in financing start-ups. Additionally, there remains an underrepresentation of women at all levels in the tech industry.As part of the Rise project, this whitepaper will focus on the question ‘What needs to be done in the coming years to improve the position of female entrepreneurs and women in tech? Building on an expert session, a review of annual reports and a short survey amongst a selected group of support organizations, we focus on the Amsterdam Metropolitan Area (MRA) and show a clear trend towards ‘women only’ programs for female entrepreneurs and an increase in the support structures for female tech workers. In this report, the results of a baseline analysis for the state of the field for Female Entrepreneur and Women in Tech in the Amsterdam Metropolitan Area will be presented by the professorship of Entrepreneurship from the Amsterdam University of Applied Sciences (AUAS).--Dutch:WOMEN Inc., HvA en We Rise hebben een rapport geschreven over de positie van vrouwelijke ondernemers en vrouwen die werken in de tech-sector. Er is onderzocht wat er momenteel wordt gedaan om de positie van vrouwelijke ondernemers en vrouwen in tech te ondersteunen en wat er de komende jaren kan veranderen om dit te verbeteren.
The gendered achievement in physics always bothers high school teachers, especially when problem-solving learning is involved. The lag in female students’ learning achievement in physics is reflected by the low enrolment of females in physics-related subjects at grade 12. For years, the most common method adopted by teachers was to instruct female students using repetitious exercises.
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Although girls and women represent only a minority of the forensic mental health and prison populations, studies worldwide suggest that there has been a steady increase in the number of females being convicted for committing offenses, especially violent offenses. In this chapter, an overview will be provided on the specific risks and needs of female offenders and the relevance of gender-responsive treatment in forensic mental health services. First, the literature into the prevalence and nature of offending by females will be reviewed, with a focus on violent offending. Next, the most recent knowledge in the field will be summarized with respect to gender-sensitive risk assessment and gender-responsive treatment in forensic mental health care. Finally, some recommendations will be provided for mental health professionals working with females in forensic mental health services and for future research.
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The production, use, disposal and recovery of packaging not only generates massive volumes of waste, it also consumes raw materials, water and energy (Fitzpatrick et al. 2012). Simultaneously, consumers have shown an increasing interest in products incorporating sustainable and social attributes (Kletzan et al., 2006). As a result, environmentally friendly packaging, also called ecofriendly or sustainable packaging, has become mainstream. In this context, packaging is more than just ensuring the product's protection and easing transportation, it is also a communicative tool (Palmer, 2000) and it becomes associated with multiple drivers of the purchasing process. Consequently, companies face pressure to innovate responding to consumer demands, and focusing on sustainable solutions that reduce harmful materials and favour green alternatives for both, the product and the packaging. Although the above has triggered research on consumer choice for sustainable products and alternatives on sustainable packaging, the relation between sustainable packaging and consumer behaviour remains underexplored. This research unpacks this relationship, i.e., empirically verifies which dimensions (recyclability, biodegradability, reusability) of sustainable packaging are perceived and valued by consumers. Put differently, this research investigates consumer behaviour towards the functions of sustainable packaging in terms of product protection, convenience, reliability of information and promotion, and scrutinises the perceived credibility of the associated ethical responsibility claims. It aims to identify those packaging materials and/or sustainability characteristics perceived as more sustainable by consumers as well as the factors influencing actual consumer choice towards sustainable packaged products. We aim to gain more insights in the perceptual frame that different types of consumers apply when exposed to sustainable packaging. To this end, we will make use of revealed preference methods to measure consumer valuations of sustainable packaged products. This game-theoretic approach should provide a more complete depiction of consumers' perceptions and preferences.
Multiple sclerosis (MS) is a severe inflammatory condition of the central nervous system (CNS) affecting about 2.5 million people globally. It is more common in females, usually diagnosed in their 30s and 40s, and can shorten life expectancy by 5 to 10 years. While MS is rarely fatal; its effects on a person's life can be profound, which signifies comprehensive management and support. Most studies regarding MS focus on how lymphocytes and other immune cells are involved in the disease. However, little attention has been given to red blood cells (erythrocytes), which might also be important in developing MS. Artificial intelligence (AI) has shown significant potential in medical imaging for analyzing blood cells, enabling accurate and efficient diagnosis of various conditions through automated image analysis. The project aims to implement an AI pipeline based on Deep Learning (DL) algorithms (e.g., Transfer Learning approach) to classify MS and Healthy Blood cells.
In societies where physical activity levels are declining, stimulating sports participation in youth is vital. While sports offer numerous benefits, injuries in youth are at an all-time high with potential long-term consequences. Particularly, women football's popularity surge has led to a rise in knee injuries, notably anterior cruciate ligament (ACL) injuries, with severe long-term effects. Urgent societal attention is warranted, supported by media coverage and calls for action by professional players. This project aims to evaluate the potential of novel artificial intelligence-based technology to enhance player monitoring for injury risk, and to integrate these monitoring pathways into regular training practice. Its success may pave the way for broader applications across different sports and injuries. Implementation of results from lab-based research into practice is hindered by the lack of skills and technology needed to perform the required measurements. There is a critical need for non-invasive systems used during regular training practice and allowing longitudinal monitoring. Markerless motion capture technology has recently been developed and has created new potential for field-based data collection in sport settings. This technology eliminates the need for marker/sensor placement on the participant and can be employed on-site, capturing movement patterns during training. Since a common AI algorithm for data processing is used, minimal technical knowledge by the operator is required. The experienced PLAYSAFE consortium will exploit this technology to monitor 300 young female football players over the course of 1 season. The successful implementation of non-invasive monitoring of football players’ movement patterns during regular practice is the primary objective of this project. In addition, the study will generate key insights into risk factors associated with ACL injury. Through this approach, PLAYSAFE aims to reduce the burden of ACL injuries in female football players.
