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Across disciplines, researchers and practitioners employ decision tree ensembles such as random forests and XGBoost with great success. What explains their popularity? This chapter showcases how marketing scholars and decision-makers can harness the power of decision tree ensembles for academic and practical applications. The author discusses the origin of decision tree ensembles, explains their theoretical underpinnings, and illustrates them empirically using a real-world telemarketing case, with the objective of predicting customer conversions. Readers unfamiliar with decision tree ensembles will learn to appreciate them for their versatility, competitive accuracy, ease of application, and computational efficiency and will gain a comprehensive understanding why decision tree ensembles contribute to every data scientist's methodological toolbox.

The Ba River catchment and delta on the island of Viti Levu, Fiji, supports a wealth of livelihoods and is populated by diverse communities who are living with an increased frequency and intensity of hydro-meteorological hazards (floods, cyclones and droughts). Participatory mapping as part of focus group discussions is a tool that can be used to elucidate communities’ understanding of the differing impacts of multiple hazards, as well as the strategies used to prepare and respond to different hazards. In this chapter, the authors present the results of qualitative research undertaken with members of three communities along the Ba River, from the Nausori highlands to the coastal mangroves, with a particular focus on recent floods (2009, 2012) and Tropical Cyclone Winston (2016). The communities draw on a wide range of livelihood strategies from fishing and agriculture to tourism and outside work. Natural hazard events vary in their impact on these livelihood strategies across the landscape and seascape, so that community members can adjust their activities accordingly. The temporal ‘signatures’ of ongoing impacts are also variable across communities and resources. The results suggest that taking a broad, landscape (and seascape) approach to understanding how communities draw livelihoods is valuable in informing effective and inclusive adaptation strategies for environmental change. Furthermore, documenting how the landscape is used in a mapped output may be a valuable tool for future social impact assessment for resource extraction activities.

The effects of environmental change are becoming more noticeable in the Lower Mekong Basin, where there is growing pressure on the agriculture-based livelihoods of communities living along the mainstream of the Mekong River. This chapter presents an investigation of temporal seasonal variability in four communities of Kratie Province, Cambodia, including identification of locally developed strategies to adapt to temporal changes in weather patterns. A mixed-methods approach was adopted, combining historical hydrometeorological data with participatory seasonal calendars and daily routine diaries. Seasonal calendars were compiled from nine workshops across four villages in Kratie Province, and daily diaries were collected from seven individuals across three villages. The results indicate that patterns in rainfall, flooding and drought have become more variable due to the impacts of environmental change; a phenomenon that will likely continue into the future. Without effective, locally appropriate adaptation measures, changing weather patterns will likely continue to have adverse impacts on communities in the region due to their reliance on reliable seasonal rainfall and flooding events for crop cultivation. Households and communities in the study region have already developed a number of approaches to mitigate the adverse impacts of environmental change. This research also reiterated the importance of incorporating both local knowledge and scientific data to gain the most accurate understanding of the impacts of environmental change in a given region.

What insights might attending to the cyclical history of colonially imposed environmental change experienced by Indigenous peoples offer to critical intellectual projects concerned with race? How might our understanding of race shift if we took Indigenous peoples' concerns with the usurpation and transformation of land seriously? Motivated by these broader questions, in this chapter, I deploy an approach to the critical inquiry of race that I have tentatively been calling anticolonial environmental sociology. As a single iteration of the anticolonial environmental sociology of race, this chapter focuses on Native (American) perspectives on land and experiences with colonialism. I argue that thinking with Native conceptualizations of land forces us to confront the ecomateriality of race that so often escapes sight in conventional analyses. The chapter proceeds by first theorizing the ecomateriality of race by thinking with recent critical theorizing on colonial racialization, alongside Native conceptualizations of land. To further explicate this theoretical argument, I then turn to an historical excavation of the relations between settlers, Natives, and the land in Rhode Island that is organized according to spatiotemporal distinctions that punctuate Native land relations in this particular global region: the Reservation, the Plantation, and the Narragansett.

Private household insurance has been relatively uncommon among households in Samoa to date. Meanwhile, numerous other adaptation interventions are also being implemented, including community-based adaptation (CBA) projects which draw on the skills of the community to address the climate change-related hazards that are expected to affect local communities. Through semi-structured interviews with community members from the urban/peri-urban area around Apia (with and without insurance) and an insurance company representative, this research explores private household natural perils insurance uptake in Samoa and the effect that the uptake of this insurance has on household engagement in other climate change adaptation (CCA) strategies such as CBA projects. Findings suggest that individuals whose homes are already insured with natural perils insurance are more likely to express more individualistic values or beliefs than those without natural perils insurance. Insured homeowners commonly framed adaptation as a technical challenge, with insurance being part of the technical and expert-led approach to prepare for, manage and recover from extreme events. In contrast, householders without insurance perceived CCA as less of a technical task and more of a social process. Those individuals with private household natural perils insurance coverage (in keeping with their more individualistic values) reported that they were less engaged in CBA projects compared to participants without insurance (who held more communalistic values). Given the importance of household participation in CBA projects, an increased uptake of insurance may have problematic outcomes for the adaptive capacity of the broader community.

Content marketing is a crucial aspect of digital marketing in modern firms. By generating content that is interesting and engaging, companies have the two-fold advantage of promoting their products in a relatable way, while increasing familiarity and engagement with the brand. As data scientists at Credit Suisse, we value our content teams because their voice is the bank's voice. We strive to provide them with the best tools to increase their articles' success. With the help of machine learning, we have created digital products that allow them to improve articles before publication, recommend them to the most interested readers, and track their performance. The chapter begins with a brief introduction to content marketing, followed by an overview of our data, a review of the business challenges we have encountered, and the machine learning solutions we have developed in order to provide the best data insights to our internal and external stakeholders. We close the chapter with a brief summary of our work.

Small traditional industry has been recognized as an important local economy that support cultural industry and is significant in many parts of the world, particularly in developing countries. The significance of this type industry as a poverty barrier, enables jobs for local rural villagers, and their role in continuing local community based cultural activities have become obvious. However, as the current modern days global pressures affecting many traditional people in developing countries, pathways of small traditional industry toward local sustainable development remain unclear. Further continuous investigations are still required on how this industry provide the platform for greater local, regional and global sustainability. Literatures and debates on the sustainability of the rural developing country concerning small traditional industries may even begin from the establishment of Brundtland sustainability commission in 1987. The conflict between brown and green agenda in Brundtland commission may also point to small-scale traditional industry growth in the developing world. Cultural traditional industries in developing countries could better lead to local sustainability pathway. On the other hand, conflict of the use of natural resources and competition may create different stories. How traditional industry in developing country survive and further innovate for development is a significant knowledge to understand. This chapter uses Jepara traditional furniture industry in Central Java – Indonesia which has been the subject of prolonged study on how small-scale industry implicated to global competition and pressures of raw material resources decline. This chapter further reviews previous research and recent study on Jepara industry upgrade and innovation, and how likely innovation may prosper for the future sustainability of this type of industry.

Climate change will affect tourism at several temporal and spatial levels. This chapter focuses on the quantification of effects and the development of strategies to reduce extremes and frequencies as well as thresholds in tourism areas. Knowledge about possibilities for mitigation and adaptation of current and expected climate conditions requires interdisciplinary approaches and solutions. Several examples are presented, including the effects of trees against climate change and extreme events (heat waves), behavior adaptations, urban and regional planning measures, bioclimatic conditions in the Mediterranean and human–biometeorological conditions under climate change conditions, and user-friendly computer tools for the quantification of urban bioclimate conditions.