With this “invitation for action”, the Diversity, Inclusion & Gender Equality (DIGE) Working Group of the AEC - Empowering Artists as Makers in Society project (hereafter, ARTEMIS) welcomes all the AEC member institutions to explore, discuss and implement practices fostering Diversity, Equity and Inclusion (DEI) in Higher Music Education (HME). We invite our colleagues to collectively dream up possible futures for HME through DEI work, which responds to the need to accommodate the plurality of backgrounds, artistic paradigms, access capabilities, identities and aspirations amongst current as well as future students and staff. Through this publication we wish to encourage the AEC memberinstitutions to grasp this simultaneously evident and complex task and to explore what diversity, equity and inclusion could mean if musicians are seen as “makers in, for and of society” (Gaunt et al. 2021). For us as a Working Group, this proactive view has been central to our work from the beginning, as we asked ourselves whether HME institutions find themselves predominantly adapting (or not) to inevitable local and global changes and pressures, and whether the HMEinstitutions could see themselves as part of a network of change makers in society. Focusing on the latter, we see DEI work as being directly connected to the core artistic practices of the institutions. As reflections from many of our colleagues in various AEC member institutions illustrate, the commitment to DEI work nurtures artistic imagination, widens pedagogical approaches, and expands the scope of professional practice.
In this paper, we present a digital tool named Diversity Perspectives in Social Media (DivPSM) which conducts automated content analysis of strategic diversity communication in organizational social media posts, using supervised machine-learning. DivPSM is trained to identify whether a post makes mention of diversity or a diversity-related issue, and to subsequently code for the presence of three diversity dimensions (cultural/ethnic/racial, gender, and LHGBTQ+ diversity) and three diversity perspectives (the moral, market, and innovation perspectives). In Study 1, we describe the training and validation of the instrument, and examine how it performs compared to human coders. Our findings confirm that DivPSM is sufficiently reliable for use in future research. In study 2, we illustrate the type of data that DivPSM generates, by analyzing the prevalence of strategic diversity communication in social media posts (n = 84,561) of large organizations in the Netherlands. Our results show that in this context gender diversity is most prevalent, followed by LHGBTQ+ and cultural/ethnic/racial diversity. Furthermore, gender diversity is often associated with the innovation perspective, whereas LHGBTQ+ diversity is more often associated with the moral perspective. Cultural/ethnic/racial diversity does not show strong associations with any of the perspectives. Theoretical implications and directions for future research are discussed at the end of the paper.
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This conversation between Geert Lovink and Nikita Lin reflects upon our inner experiences within the global networked digital cultures. It explores the tactics, aesthetic and political, in response to the breakdowns brought by digital platforms and the possibility of creating new beginnings through persistent engagement in writing and publishing. Since 2004 Lovink is heading the Institute of Network Cultures at the Amsterdam University of Applied Sciences and is Art and Network Cultures Professor of Art and Network Cultures at University of Amsterdam’s Art History Department. The conversation takes as point of departure Lovink’s three recent books: Sad by Design: On Platform Nihilism, Stuck on the Platform: Reclaiming the Internet, and Extinction Internet: Our Inconvenient Truth Moment. Over the past 30 years, Lovink has been experimenting with the networks and the internet in his writing by developing a distinct style that dig into essays, interviews, aphorisms, sloganisms, and memes. This includes critical concepts that he has developed-such as ‘tactical media,’ ‘net criticism,' ‘sad by design,’ and ‘internet extinction’ – that people recognize, find useful and ready to apply to their own activities. For Geert Lovink, the fascinating question with writing is how to capture fast-changing real-time phenomena which means not only documenting but also leaving room for anticipation.
Former military fortifications are often repurposed for tourism and recreation. While some of over 100 Dutch forts are recognized as UNESCO World Heritage sites, a substantial number are currently underdeveloped, putting their cultural and natural heritage at risk. Developing these forts in a conscious and collaborative way promises to not only preserve their heritage value, but also facilitate enjoyable and healthy experiences for visitors. Moreover, under-developed forts provide an opportunity to solve another pressing challenge, namely overtourism. Visitor pressure at tourist attractions has led the Netherlands Board of Tourism and Conventions to call for spreading visitors to lesser-known areas. Less-developed forts are among the most promising of these. Development initiatives depend on a transition from isolation to cooperation across sites. However, for cooperation to be effective, agencies managing these forts have indicated an urgent need for data on visitor characteristics and experiences. The purpose of the present project is to measure and analyze visitor demographics, motivations, and experiences at less-developed forts, and to develop a toolkit to inspire, support, and monitor development of these forts for natural and cultural heritage preservation and improved visitor experience. This proposal builds on the previous project, “Experiencing Nature” which utilized Breda Experience Lab technologies to measure visitor experiences at Fort de Roovere. We now aim to broaden this proven approach to a broader variety of forts, and to translate visitor data into actionable advice. The consortium includes a changemaking network of the Alliantie Zuiderwaterlinie (NL), Regionale Landschappen (VL), and Agentschap Natuur en Bos (VL). This Dutch-Flemish network aims to connect formerly isolated forts to one another, and represents a broad diversity of fortified sites, each with unique challenges. The project will thus facilitate interregional collaboration, especially toward coming Interreg EU proposals, and inform interregional marketing campaigns and planning for management and conservation.
Human kind has a major impact on the state of life on Earth, mainly caused by habitat destruction, fragmentation and pollution related to agricultural land use and industrialization. Biodiversity is dominated by insects (~50%). Insects are vital for ecosystems through ecosystem engineering and controlling properties, such as soil formation and nutrient cycling, pollination, and in food webs as prey or controlling predator or parasite. Reducing insect diversity reduces resilience of ecosystems and increases risks of non-performance in soil fertility, pollination and pest suppression. Insects are under threat. Worldwide 41 % of insect species are in decline, 33% species threatened with extinction, and a co-occurring insect biomass loss of 2.5% per year. In Germany, insect biomass in natural areas surrounded by agriculture was reduced by 76% in 27 years. Nature inclusive agriculture and agri-environmental schemes aim to mitigate these kinds of effects. Protection measures need success indicators. Insects are excellent for biodiversity assessments, even with small landscape adaptations. Measuring insect biodiversity however is not easy. We aim to use new automated recognition techniques by machine learning with neural networks, to produce algorithms for fast and insightful insect diversity indexes. Biodiversity can be measured by indicative species (groups). We use three groups: 1) Carabid beetles (are top predators); 2) Moths (relation with host plants); 3) Flying insects (multiple functions in ecosystems, e.g. parasitism). The project wants to design user-friendly farmer/citizen science biodiversity measurements with machine learning, and use these in comparative research in 3 real life cases as proof of concept: 1) effects of agriculture on insects in hedgerows, 2) effects of different commercial crop production systems on insects, 3) effects of flower richness in crops and grassland on insects, all measured with natural reference situations
Wildlife crime is an important driver of biodiversity loss and disrupts the social and economic activities of local communities. During the last decade, poaching of charismatic megafauna, such as elephant and rhino, has increased strongly, driving these species to the brink of extinction. Early detection of poachers will strengthen the necessary law enforcement of park rangers in their battle against poaching. Internationally, innovative, high tech solutions are sought after to prevent poaching, such as wireless sensor networks where animals function as sensors. Movement of individuals of widely abundant, non-threatened wildlife species, for example, can be remotely monitored ‘real time’ using GPS-sensors. Deviations in movement of these species can be used to indicate the presence of poachers and prevent poaching. However, the discriminative power of the present movement sensor networks is limited. Recent advancements in biosensors led to the development of instruments that can remotely measure animal behaviour and physiology. These biosensors contribute to the sensitivity and specificity of such early warning system. Moreover, miniaturization and low cost production of sensors have increased the possibilities to measure multiple animals in a herd at the same time. Incorporating data about within-herd spatial position, group size and group composition will improve the successful detection of poachers. Our objective is to develop a wireless network of multiple sensors for sensing alarm responses of ungulate herds to prevent poaching of rhinos and elephants.
