Search results

As we reckon with the #MeToo movement, the gender-based violence that occurred during the 1947 Partition continues to remain forgotten in mainstream discourses and is an emotive and polarising issue within both India and its diaspora. Just like mainstream news in the United States covered the Gabby Petito case, causing a controversy as it led to the realisation that the rape and gender-based violence of missing indigenous women were not covered, it can be suggested that mainstream news channels both within India and in the diaspora construct narratives that privilege the stories of some over others – with issues of shame, izzat (‘honour’) and policing of women's bodies compounding the silence in South Asian communities. In this chapter, I argue that we need to rethink the Partition as a genocide to recognise the gender-based violence that occurred on women's bodies as the cataclysmic event occurred. I discuss the feminist historiographical research led by Urvashi Butalia, Kamla Bhasin and Ritu Menon who interviewed survivors in the aftermath of the 1984 anti-Sikh riots that triggered their research and reminded them of the Partition violence. It is only recently when the 1947 Partition Archives (in 2010) and the Partition Museum (in 2017) that the conversations of Partition are also taking place in academic spaces.

Advances in Big Data, artificial Intelligence and data-driven innovation bring enormous benefits for the overall society and for different sectors. By contrast, their misuse can lead to data workflows bypassing the intent of privacy and data protection law, as well as of ethical mandates. It may be referred to as the ‘creep factor’ of Big Data, and needs to be tackled right away, especially considering that we are moving towards the ‘datafication’ of society, where devices to capture, collect, store and process data are becoming ever-cheaper and faster, whilst the computational power is continuously increasing. If using Big Data in truly anonymisable ways, within an ethically sound and societally focussed framework, is capable of acting as an enabler of sustainable development, using Big Data outside such a framework poses a number of threats, potential hurdles and multiple ethical challenges. Some examples are the impact on privacy caused by new surveillance tools and data gathering techniques, including also group privacy, high-tech profiling, automated decision making and discriminatory practices. In our society, everything can be given a score and critical life changing opportunities are increasingly determined by such scoring systems, often obtained through secret predictive algorithms applied to data to determine who has value. It is therefore essential to guarantee the fairness and accurateness of such scoring systems and that the decisions relying upon them are realised in a legal and ethical manner, avoiding the risk of stigmatisation capable of affecting individuals’ opportunities. Likewise, it is necessary to prevent the so-called ‘social cooling’. This represents the long-term negative side effects of the data-driven innovation, in particular of such scoring systems and of the reputation economy. It is reflected in terms, for instance, of self-censorship, risk-aversion and lack of exercise of free speech generated by increasingly intrusive Big Data practices lacking an ethical foundation. Another key ethics dimension pertains to human-data interaction in Internet of Things (IoT) environments, which is increasing the volume of data collected, the speed of the process and the variety of data sources. It is urgent to further investigate aspects like the ‘ownership’ of data and other hurdles, especially considering that the regulatory landscape is developing at a much slower pace than IoT and the evolution of Big Data technologies. These are only some examples of the issues and consequences that Big Data raise, which require adequate measures in response to the ‘data trust deficit’, moving not towards the prohibition of the collection of data but rather towards the identification and prohibition of their misuse and unfair behaviours and treatments, once government and companies have such data. At the same time, the debate should further investigate ‘data altruism’, deepening how the increasing amounts of data in our society can be concretely used for public good and the best implementation modalities.

Given that the workforce constitutes a principal resource of primary care, appraisal of models of care requires thorough investigation of the health workforce in all Models of Child Health Appraised (MOCHA) countries. This chapter explores this in terms of workforce composition, remuneration, qualifications and training in relation to the needs of children and young people. We have focused on two principal disciplines of primary care; medicine and nursing, with a specific focus on training and skills to care for children in primary care, particularly those with complex care needs, adolescents and vulnerable groups. We found significant disparities in workforce provision and remuneration, in training curricula and in resultant skills of physicians and nurses in European Union and European Economic Area Countries. A lack of overarching standards and recognition of some of the specific needs of children reflected in training of physicians and nurses may lead to suboptimal care for children. There are, of course, many other professions that also contribute to primary care services for children, some of which are discussed in Chapter 15, but we have not had resources to study these to the same detail.

The French higher education system has experienced reforms since the 2000s that gradually emphasized the executive power of universities and the centralization of decision-making. This culminated with the excellence initiatives (Idex) that concentrated 7.7 billion euros on only nine institutions to create “world-class” universities and made their leaders responsible for the local allocation of this substantial endowment. The universities’ executives had four years to complete changes in governance in order to see their institution permanently awarded the title and the funding of Idex. The hiring process is one of the elements that this policy impacted the most within these universities, enabling leaders to create new kinds of positions and control the hiring process. However, by looking at the hiring practices within three different Idex, we will show that collegiality did not disappear but rather it evolved: in the three cases, the closest colleagues have been marginalized but decision-making remained collective and in the hands of academics chosen by the university executives. Variations in the intensity of this evolution could be observed according to two dimensions. First, the scientific reputation of the university: the higher it is, the less collegiality is transformed. Second, the level of external pressures: the less collegial universities have relaxed their hiring practices after the evaluation that permanently granted them the label of Idex.

On 20 March 2020, the four adult convicts of the 2012 Delhi rape case were executed after a long debate regarding the punishment for their crime. The Delhi rape case, unlike others, was also given to the fast track court because of the worldwide outrage India received in its aftermath. Otherwise, most rape survivors rarely speak out and if they do, their lives are often endangered and threatened, depending on the severity of the case itself and the perpetrator's rank in the society. Through the analysis of Aniruddha Roy Chowdhury's, 2016 film Pink, and Ajay Bahl's film Section 375 (2019), this chapter explores the different ways in which mainstream Hindi cinema deals with such questions, especially in its depictions of courts. Both these films foreground India's contemporary cultural systems of fear that silence the rape survivors. They also imply that in the court cases, unless the specific court case faces intense global publicity, as was the case of the Delhi gang rape, rape survivors will never want to speak out. Moreover, the rape survivors will also hesitate to file a First Information Report (FIR) – a document that records crimes by the police against their perpetrators – limiting any possibility for justice for them. The laws surrounding rape cases are obscure and complex and finding justice for a rape victim (unless it is on a global level) is not an easy venture in India. At the time of the #metoo movement, the rape laws in India are not designed in such a way to arguably encourage victim-survivors to speak up. Instead, if rape survivors do decide to confront their perpetrators, they not only face ostracisation from society but also the danger of losing loved ones and endanger their lives as well.

The chapter discusses the assumptions and main conclusions from the international comparative research, the key purpose of which was to identify and characterise the representatives of the sandwich generation (SG) in selected European countries in relation to professional activity. The research covered five countries, and when choosing them we took into account the diversity of welfare state models. The research was carried out in the autumn of 2020 with the use of a proprietary questionnaire on representative samples of Internet users aged 45–65 from Belgium (only Flanders), Finland, Italy, Poland and Great Britain. The conducted analyses confirmed the diversification of the situation of SG representatives in specific countries.

The chapter aims to provide an overview of organisational structures in Research Management and Administration (RMA); in doing so, the chapter moves from explaining main sources of knowledge – broadly on HE Management (HEM) and specifically on RMA – to assessing institutionalisation and maturity level of the profession.

Understanding these forms of knowledge will help readers design research support services and develop a competency/career development plan.

Additionally, the chapter aims to call for individuals and institutions to engage with the varied forms of knowledge associated with different phases of a research project life cycle (RPLC). The goal is to raise individual awareness while helping countries improve their RMA maturity.