Animal welfare science: recent publication trends and future research priorities

Animal welfare science is a young and thriving field. Over the last two decades, the output of scientific publications on welfare has increased by c. 10-15% annually (tripling as a proportion of all science papers logged by ISI’s Web of Science), with just under half the c. 8500 total being published in the last 4 years. These papers span an incredible 500+ journals, but around three quarters have been in 80 animal science, veterinary, ethology, conservation and specialized welfare publications, and nearly 25% are published in just two: Animal Welfare and Applied Animal Behaviour Science. Farmed animals – especially mammals – have attracted by far the most research. This broadly reflects the vastness of their populations and the degree of public concern they elicit; poultry, however, are under-studied, and farmed fish ever more so: fish have only recently attracted welfare research, and are by far the least studied of all agricultural species, perhaps because of ongoing doubts about their sentience. We predict this farm animal focus will continue in the future, but embracing more farmed fish, reptiles and invertebrates, and placing its findings within broader international contexts such as environmental and food security concerns. Laboratory animals have been consistently well studied, with a shift in recent years away from primates and towards rodents. Pets, the second largest animal sector after farmed animals, have in contrast been little studied considering their huge populations (cats being especially overlooked): we anticipate research on them increasing in the future. Captive wild animals, especially mammals, have attracted a consistent level of welfare research over the last two decades. Given the many thousands of diverse species kept by zoos, this must, and we predict will, increase. Future challenges and opportunities including refining the use of preference tests, stereotypic behaviour, corticosteroid outputs and putative indicators of positive affect, to enable more valid conclusions about welfare; investigating the evolution and functions of affective states; and last but not least, identifying which taxonomic groups and stages of development are actually sentient and so worthy of welfare concern

Educators\u27 Experiences With Teaching During COVID-19: Journey of a Participatory Action Research Inquiry Team

In 2015, the United Nations (UN) issued 17 Sustainable Development Goals (SDGs, 2030) for everyone in this world to address. The need to act on these goals was intensified in 2020 when the world faced the COVID-19 pandemic spotlighting inequitable infrastructures and systems throughout many countries. The UN, in SDG4, urges us to “ensure inclusive and equitable quality education and promote lifelong learning opportunities for all” (UN, 2015, p. 21). To address this crisis, the International Council on Education for Teaching (ICET) and MESHGuides sent out a call for research to scholars across the globe to capture teacher voices and find out about their experiences with teaching during COVID-19. Members of the College of Education program Professional Opportunities Supporting Scholarly Engagement (POSSE) at Texas A&M International University initiated a participatory action research project to join them and learn about changes in educators’ professional requirements. This report delineates their journey of collecting and analyzing data on teaching during COVID-19 and shares preliminary findings. Sixteen educators were interviewed in a focus group inquiry; six qualitative researchers analyzed the data using a systematic constant comparative method of analysis (Maykut & Morehouse, 1994). Educators shared challenges encountered when transferring curriculum, strategies, and pedagogical mindsets to a virtual platform. Teachers emphasized the significance of building collaborative relationships with parents as a supportive strategy. To face the pandemic-related changes, teachers paid both physical and emotional tolls, describing feelings such as frustration, helplessness, and uncertainty. As the participatory action research inquiry and analysis was being drafted as this article, at least half of the co-authors were still juggling expectations of altered face-to-face and virtual teaching–learning experiences while identifying the multiple impacts of a pandemic that lasted an entire calendar year, overlapping two academic years, while the research team had invested the time in listening to teachers’ voices to learn how best to promote equitable quality educational experiences for all

Logic Programming and Machine Ethics

Transparency is a key requirement for ethical machines. Verified ethical behavior is not enough to establish justified trust in autonomous intelligent agents: it needs to be supported by the ability to explain decisions. Logic Programming (LP) has a great potential for developing such perspective ethical systems, as in fact logic rules are easily comprehensible by humans. Furthermore, LP is able to model causality, which is crucial for ethical decision making.Comment: In Proceedings ICLP 2020, arXiv:2009.09158. Invited paper for the ICLP2020 Panel on "Machine Ethics". arXiv admin note: text overlap with arXiv:1909.0825