Towards Good Social Science

The paper investigates what is meant by "good science" and "bad science" and how these differ as between the natural (physical and biological) sciences on the one hand and social sciences on the other. We conclude on the basis of historical evidence that the natural science are much more heavily constrained by evidence and observation than by theory while the social sciences are constrained by prior theory and hardly at all by direct evidence. Current examples of the latter proposition are taken from recent issues of leading social science journals. We argue that agent based social simulations can be used as a tool to constrain the development of a new social science by direct (what economists dismiss as anecdotal) evidence and that to do so would make social science relevant to the understanding and influencing of social processes. We argue that such a development is both possible and desirable. We do not argue that it is likely.Methodology, Agent Based Social Simulation, Qualitative Analysis; Evidence; Conditions of Application; History of Science

Does Germany Need a (New) Research Ethics for the Social Sciences?

This paper evaluates the German, UK, and US approaches to dealing with research ethics in the social sciences. It focuses 1) on the extent to which these research ethic frameworks protect the key rights of research subjects and 2) the extent to to which they take into account the methodology and approaches used in social science and do not simply emulate those of the natural sciences. The U.S. approach stands for a highly regulated, and partly bureaucratic, approach where the ethics review is modeled on the methodology of natural sciences. In the UK, in contrast, a social science research ethics framework has been developed that remedies some of these shortcomings. It is implemented through pressure from funding institutions and aims to respond to the needs of social science research. The German social science ethics framework consists of non-binding codes of conduct, guidelines about good scientific practice, and ethic codes of the German professional associations and funding institutions. We find that ethical behavior in Germany is most typically understood as ethical behavior towards the peers. We recommend the establishment of a new research ethics framework for the social sciences in Germany modeled on the UK's.research ethics, good scientific practice, institutional review boards

AI for the Common Good?! Pitfalls, challenges, and Ethics Pen-Testing

Recently, many AI researchers and practitioners have embarked on research visions that involve doing AI for "Good". This is part of a general drive towards infusing AI research and practice with ethical thinking. One frequent theme in current ethical guidelines is the requirement that AI be good for all, or: contribute to the Common Good. But what is the Common Good, and is it enough to want to be good? Via four lead questions, I will illustrate challenges and pitfalls when determining, from an AI point of view, what the Common Good is and how it can be enhanced by AI. The questions are: What is the problem / What is a problem?, Who defines the problem?, What is the role of knowledge?, and What are important side effects and dynamics? The illustration will use an example from the domain of "AI for Social Good", more specifically "Data Science for Social Good". Even if the importance of these questions may be known at an abstract level, they do not get asked sufficiently in practice, as shown by an exploratory study of 99 contributions to recent conferences in the field. Turning these challenges and pitfalls into a positive recommendation, as a conclusion I will draw on another characteristic of computer-science thinking and practice to make these impediments visible and attenuate them: "attacks" as a method for improving design. This results in the proposal of ethics pen-testing as a method for helping AI designs to better contribute to the Common Good.Comment: to appear in Paladyn. Journal of Behavioral Robotics; accepted on 27-10-201

ATTITUDES TOWARDS NATURAL SCIENCE: COMPARISON OF STUDENT ATTITUDES IN JUNIOR HIGH SCHOOLS IN MUARO JAMBI DISTRICT

Purpose of the study: This research was conducted to review the comparison of students’ attitudes towards science subjects through 3 indicators, namely the social implications of science, attitudes towards investigation and career interests in the field of science sourced from TOSRA. Methodology: The research design used is quantitative with the type of survey research. The research subjects were 1075 students. The instrument used in the form of a questionnaire attitude towards science subjects. The analysis technique used is descriptive statistics and inferential statistics in the form of one way ANOVA test. Main Findings: Students at Junior High School 26Muaro Jambi were dominant in the indicators of social implications with a percentage of 66.9% (103 out of 154 students) with a good category, while Junior High School 6 Muaro Jambi was dominant in the social implication indicators with a percentage of 51.5% (313 out of 608 students) with a sufficient category, and Junior High School 5 Muaro Jambi dominant in the indicators of social implications with a percentage of 62.3% (195 of 313 students) with a sufficient category. Based on the one way ANOVA test, it was found that there were differences in attitudes towards science subjects at Junior High School 26 Muaro Jambi, Junior High School 6 Muaro Jambi and Junior High School 5 Muaro Jambi. Novelty/Originality of this study: The renewal of this study is the absence of research conducted in Junior High School in Muaro Jambi Regency, Indonesia regarding students’ attitudes toward science subjects reviewed through indicators of the social implications of science, indicators of attitudes towards science investigations, and indicators of career interest in the field of science

The Development of Social Simulation as Reflected in the First Ten Years of JASSS: a Citation and Co-Citation Analysis

Social simulation is often described as a multidisciplinary and fast-moving field. This can make it difficult to obtain an overview of the field both for contributing researchers and for outsiders who are interested in social simulation. The Journal for Artificial Societies and Social Simulation (JASSS) completing its tenth year provides a good opportunity to take stock of what happened over this time period. First, we use citation analysis to identify the most influential publications and to verify characteristics of social simulation such as its multidisciplinary nature. Then, we perform a co-citation analysis to visualize the intellectual structure of social simulation and its development. Overall, the analysis shows social simulation both in its early stage and during its first steps towards becoming a more differentiated discipline.Citation Analysis, Co-Citation Analysis, Lines of Research, Multidisciplinary, Science Studies, Social Simulation

A little knowledge is a dangerous thing: excess confidence explains negative attitudes towards science

Scientific knowledge has been accepted as the main driver of development, allowing for longer, healthier, and more comfortable lives. Still, public support to scientific research is wavering, with large numbers of people being uninterested or even hostile towards science. This is having serious social consequences, from the anti-vaccination community to the recent "post-truth" movement. Such lack of trust and appreciation for science was first justified as lack of knowledge, leading to the "Deficit Model" \cite{Durant:1989, Bauer:2007}. As an increase in scientific information did not necessarily lead to a greater appreciation, this model was largely rejected, giving rise to "Public Engagement Models" \cite{Miller:2001}. These try to offer more nuanced, two-way, communication pipelines between experts and the general public, strongly respecting non-expert knowledge, possibly even leading to an undervaluing of science. Therefore, we still lack an encompassing theory that can explain public understanding of science, allowing for more targeted and informed approaches. Here, we use a large dataset from the Science and Technology Eurobarometer surveys, over 25 years in 34 countries \cite{Bauer:2012}, and find evidence that a combination of confidence and knowledge is a good predictor of attitudes towards science. This is contrary to current views, that place knowledge as secondary, and in line with findings in behavioral psychology, particularly the Dunning-Kruger effect, as negative attitudes peak at intermediate levels of knowledge, where confidence is largest. We propose a new model, based on the superposition of the Deficit and Dunning-Kruger models and discuss how this can inform science communication.Comment: 9 pages, 3 figures, 1 table; Appendix with 12 pages, 9 figures, 8 table

Towards a systemic research methodology in agriculture: Rethinking the role of values in science

The recent drastic development of agriculture, together with the growing societal interest in agricultural practices and their consequences, pose a challenge to agricultural science. There is a need for rethinking the general methodology of agricultural research. This paper takes some steps towards developing a systemic research methodology that can meet this challenge – a general self-reflexive methodology that forms a basis for doing holistic or (with a better term) wholeness-oriented research and provides appropriate criteria of scientific quality. From a philosophy of research perspective, science is seen as an interactive learning process with both a cognitive and a social communicative aspect. This means, first of all, that science plays a role in the world that it studies. A science that influences its own subject area, such as agricultural science, is named a systemic science. From this perspective, there is a need to reconsider the role of values in science. Science is not objective in the sense of being value-free. Values play, and ought to play, an important role in science – not only in form of constitutive values such as the norms of good science, but also in the form of contextual values that enter into the very process of science. This goes against the traditional criterion of objectivity. Therefore, reflexive objectivity is suggested as a new criterion for doing good science, along with the criterion of relevance. Reflexive objectivity implies that the communication of science must include the cognitive context, which comprises the societal, intentional, and observational context. In accordance with this, the learning process of systemic research is shown as a self-reflexive cycle that incorporates both an involved actor stance and a detached observer stance. The observer stance forms the basis for scientific communication. To this point, a unitary view of science as a learning process is employed. A second important perspective for a systemic research methodology is the relation between the actual, different, and often quite separate kinds of science. Cross-disciplinary research is hampered by the idea that reductive science is more objective, and hence more scientific, than the less reductive sciences of complex subject areas – and by the opposite idea that reductive science is necessarily reductionistic. Taking reflexive objectivity as a demarcator of good science, an inclusive framework of science can be established. The framework does not take the established division between natural, social and human science as a primary distinction of science. The major distinction is made between the empirical and normative aspects of science, corresponding to two key cognitive interests. Two general methodological dimensions, the degree of reduction of the research world and the degree of involvement in the research world, are shown to span this framework. The framework can form a basis for transdisciplinary work by way of showing the relation between more and less reductive kinds of science and between more detached and more involved kinds of science and exposing the abilities and limitations attendant on these methodological differences

What young people report about the personal characteristics needed for social science research after carrying out their own investigations in an after-school club

Several arguments have been put forward about the benefits of young people carrying out their own social science research in terms of empowering their voices and their participation. Much less attention has been paid to investigating the understandings young people develop about the research process itself. Seven twelve-year-olds carried out self-directed social science research into a topic of their choice. Towards the end of their six months experience we used a questionnaire and follow-up semi-structured interviews to investigate, from a socio-cultural perspective, what the young people thought about being a researcher. Thematic analysis of the interviews identified three themes and eight subthemes suggesting that they were aware of: the need to demonstrate researcher/research integrity (be thorough, truthful, orderly, and have a good understanding of research process); the need for good interpersonal skills and standards; and good self-management skills (be resilient, agentic, committed, and good at time management). We discuss how first-hand social science research experience might: be relevant to several areas of schooling; give young people experience of the personal characteristics important for success; help young people to realise that they can be social science researchers, and offer advanced and novel learning experiences outside the constraints of the school curriculum

Pengaruh Partisipasi Mahasiswa Pendidikan IPS dalam mengikui Program Kampus Mengajar terhadap Minat menjadi Guru IPS

This study focuses on the influence of Kampus Mengajar programme towards interest in becoming social science teacher. The purpose of this study was to analyze the influence of Kampus Mengajar programme towards the interest in becoming social science teacher. The study uses quantitative approach to the descriptive method. This study was conducted in Universitas Pendidikan Indonesia, faculty of social science education, social science education study programme. The sample of this study is active college students from batch 2019 and 2020 who are attended and currently participating in Kampus Mengajar programme. The data was collected using questionnaire. The result showed that (1) there is an influence from social science education students who participate in Kampus Mengajar programme towards interest in becoming social science teacher with tcount (3.965) is greater than ttable (1.66) with significant level of 0.05; (2) there is a quite good participation from social science students in Kampus Mengajar programme towards interest in becoming social science teacher. The conclusion of this study indicate that Kampus Mengajar programme can help increasing social science education students' interest in becoming social science teacher. Keyword: Program Kampus Mengajar, Participation, Interest in becoming social science teache