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In the transition to more inclusive societies, design, far beyond traditional design domains dealing with form shaping, can contribute to organizational and social transformation (Jones & Van Patter, 2009) through projects for new meanings, new services and new processes. In this sense, the chapter aims to discuss the practice of ‘Costruire Bellezza (Crafting Beauty), an experiment (Binder & Redström, 2006) of design for social inclusion. It focuses on both the empowerment of homeless people (Sen, 1999) and the development of skills – mainly relational – of university students (Margolin & Margolin, 2002) via Design Anthropology–led creativity. Participants include researchers, homeless people, students in design and social sciences, social workers, educators and creative talents. Through regularly organized ‘design initiatives’ (Manzini, 2015, p. 91) they as a group work on projects, languages and co-creation processes. Design and Anthropology shaped this strong relational and community-based apparatus of collaborative experiences thanks to which all participants' backgrounds are valued. The participatory experience becomes the context where experiments are carried out to develop more effective services for homeless people and new models of active and responsible citizenship.

This article presents lessons from social experiments in the US over 30 years testing employment and training, welfare reform and social service programmes and systems. It discusses the challenges in implementing a random assignment study and strategies to overcome them, and also sets out lessons for ensuring that an experiment informs and affects policy. In laying out the ingredients for success, the article argues that creative and flexible research design skills are essential, but that just as important in a complex, real‐world context are operational and political skills, applied both to marketing the experiment in the first place and to helping interpret and promote its findings down the line.

The design narrative details how the authors systematically and concretely adapted the design of afterschool club for children and pre-service teachers to respond to the increasingly explicit racism in US political discourse that fueled Trump’s election and coinciding forms of evading race.

The purpose of this paper is to present a design narrative focused on tensions around evading race in our after-school program for predominantly Latinx children and White pre-service teachers; how the authors re-mediated the material, ideational and relational resources of the program to address the tension; and the effects of our re-mediation on the adaptation of the program and how this shaped pre-service teachers’ engagement with children’s racialized experiences.

Re-mediating the design of ideational, relational, and material resources in the afterschool club allowed the designers to address how racial ideologies of color evasiveness limited opportunities for trust and mutual learning between the predominantly White preservice teachers and Latinx children.

The paper describes how concerns with equity emerged and were addressed in a program in a particular place and time for particular people. It offers a systematic view into the inner-workings of designing for equity and why people’s lived experiences, history and social practices around engaging with processes of racialization and power matter for the design of learning.

The design narrative suggests practical implications including the need to develop coursework and practicum experiences that support pre-service teachers’ and educators’ study of how power, enacted through racial ideologies of color evasiveness and other forms of epistemic violence, frames and materially impacts our interactions with children from non-dominant groups.

Two social implications from the design narrative include the following: the need to deepen the understandings of the past and present, proud and violent, histories of minoritized communities to organize consequential learning; and the need to recruit more students of color into the programs recognizing that it alone is not adequate for enacting educational justice.

As designers working toward equity, the authors must hold lightly onto their designs, be willing to let go of features that no longer serve the goals and develop new approaches that can help them achieve them. The authors must also attend seriously to the critiques offered by our youth-partners so that they can better support their learning and desires for the future.

Randomised controlled trials (RCTs) are acknowledged to provide the most reliable estimate of programme effectiveness, yet relatively few are undertaken in children's services. Consequently, there are few models with a demonstrated impact on child well‐being, leading to a concern not only that services may frequently be ineffective but also that some may be harmful. This article considers how this state of affairs has come into being and discusses potential remedies for improving both the knowledge base and the quality of interventions. It focuses on ‘operating systems’ that link prevention science and community engagement and so help communities, agencies and local authorities to choose effective prevention, early intervention and treatment models. Specifically, it describes an attempt in Ireland to implement a robust programme of research into children's health and development, to rigorously design new services, evaluate their impact to the highest standard (using RCTs)and integrate the results into the policy process. Based on the authors' extensive first‐hand experience of supporting the work, and the advice of international experts, the article reflects critically on the unforeseen challenges and offers lessons for others starting a similar enterprise.

This study aims to investigate how, through text-based classroom talk, youth collaboratively draw on and remix discourses and practices from multiple socially indexed traditions.

Drawing on data from a year-long social design experiment, this study uses qualitative coding and traces discoursal markers of indexicality.

The youth sustained, remixed and evaluated interpretive communities in their navigation across disciplinary and fandom discourses to construct a hybrid classroom interpretive community.

This research contributes to scholarship that supports using popular texts in classrooms as the focus of a scholarly inquiry by demonstrating how youth in one high school English classroom discursively index interpretive communities aligned with popular fandoms and literary scholarship. This study adds to understandings about the social nature of literary reading, interpretive whole-class text-based talk and literary literacies with multimodal texts in diverse, high school classrooms.

Design-based research (DBR) involves multiple iterations, and innovations are needed in analytical methods for understanding how learners experience a learning experience in ways that both embrace the complexity of learning and allow for data-driven changes to the design of the learning experience between iterations. The purpose of this paper is to propose a method of crafting design moves in DBR using network analysis.

This paper introduces learning experience network analysis (LENA) to allow researchers to investigate the multiple interdependencies between aspects of learner experiences, and to craft design moves that leverage the relationships between struggles, what worked and experiences aligned with principles from theory.

The use of network analysis is a promising method of crafting data-driven design changes between iterations in DBR. The LENA process developed by the authors may serve as inspiration for other researchers to develop even more powerful methodological innovations.

LENA may provide design-based researchers with a new approach to analyzing learner experiences and crafting data-driven design moves in a way that honors the complexity of learning.

LENA may provide novice design-based researchers with a structured and easy-to-use method of crafting design moves informed by patterns emergent in the data.

To the best of the authors’ knowledge, this paper is the first to propose a method for using network analysis of qualitative learning experience data for DBR.

In this chapter, I review recent evidence on the developmental origins of health inequality. I discuss the origins of the education-health gradient, the long-term costs caused by early life adversity, and how early life experiences affect the biology of the body. Additionally, I provide complementary evidence on enrichment interventions which can at least partially compensate for these gaps. I highlight emerging lines of scientific inquiry which are likely to have a significant impact on the field. I argue that, while the evidence that early life conditions have long-term effects is now uncontroversial, the literature needs to be expanded both in a theoretical and empirical direction. On the one hand, a model linking early life origins to ageing needs to be developed; on the other hand, a better understanding of the mechanisms – both biological and socioeconomic – is required, in order to design more effective interventions.

With the rapid advancement of generative artificial intelligence (AI), it is important to consider how young people are making sense of these tools in their everyday lives. Drawing on critical postdigital approaches to learning and literacy, this study aims to center the experiences and perspectives of young people who encounter and experiment with generative AI in their daily writing practices.

This critical case study of one digital platform – Character.ai – brings together an adolescent and adult authorship team to inquire about the intertwining of young people’s playful and critical perspectives when writing on/with digital platforms. Drawing on critical walkthrough methodology (Light et al., 2018), the authors engage digital methods to study how the creative and “fun” uses of AI in youths’ writing lives are situated in broader platform ecologies.

The findings suggest experimentation and pleasure are key aspects of young people’s engagement with generative AI. The authors demonstrate how one platform works to capitalize on these dimensions, even as youth users engage critically and artfully with the platform and develop their digital writing practices.

This study highlights how playful experimentation with generative AI can engage young people both in pleasurable digital writing and in exploration and contemplation of platforms dynamics and structures that shape their and others’ literate activities. Educators can consider young people’s creative uses of these evolving technologies as potential opportunities to develop a critical awareness of how commercial platforms seek to benefit from their users.

This study contributes to the development of a critical and humanist research agenda around generative AI by centering the experiences, perspectives and practices of young people who are underrepresented in the burgeoning research devoted to AI and literacies.

The purpose of this paper is to examine whether reputation element affects the decision relative performance of trust, bonus and incentive contracts using social laboratory experiments.

The study conducts the following lab experiments bonus–incentive treatment without reputation, bonus–incentive treatment with reputation and trust–incentive treatment with reputation.

The study finds that the reputation and fairness concerns, in contrast to self-interest, may have a decisive impact on the actual and optimal choices in the reciprocity-based contracts. The principal pays higher salaries in the bonus contract as compared to an incentive contract.

The study contributes to the behavioral economic literature in the following dimensions. The existing literature on lab experiments considers a bonus contract as better than the debt contract; however, it does not consider the trust contract better than the debt contract.