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Around the world, many pastoralists are diversifying their livelihoods by incorporating alternative income generating activities. Much scholarship has examined the causes of this trend, however, less has been written about the consequences of diversification, especially how it may affect the structure and function of pastoralists’ social networks. This perspective presents a conceptual framework for a pastoralist social network transition, driven by livelihood diversification, and its effects on resilience at household and community scales. 

Digitals twins, used to represent dynamic environments, require accurate tracking of human movement to enhance their real-world application. This paper contributes to the field by systematically evaluating and comparing pre-existing tracking methods to identify strengths, weaknesses and practical applications within digital twin frameworks. The purpose of this study is to assess the efficacy of existing human movement tracking techniques for digital twins in real world environments, with the goal of improving spatial analysis and interaction within these virtual modes. We compare three approaches using indoor-mounted lidar sensors: (1) a frame-by-frame method deep learning model with convolutional neural networks (CNNs), (2) custom algorithms developed using OpenCV, and (3) the off-the-shelf lidar perception software package Percept version 1.6.3. Of these, the deep learning method performed best (F1 = 0.88), followed by Percept (F1 = 0.61), and finally the custom algorithms using OpenCV (F1 = 0.58). Each method had particular strengths and weaknesses, with OpenCV-based approaches that use frame comparison vulnerable to signal instability that is manifested as “flickering” in the dataset. Subsequent analysis of the spatial distribution of error revealed that both the custom algorithms and Percept took longer to acquire an identification, resulting in increased error near doorways. Percept software excelled in scenarios involving stationary individuals. These findings highlight the importance of selecting appropriate tracking methods for specific use. Future work will focus on model optimization, alternative data logging techniques, and innovative approaches to mitigate computational challenges, paving the way for more sophisticated and accessible spatial analysis tools. Integrating complementary sensor types and strategies, such as radar, audio levels, indoor positioning systems (IPSs), and wi-fi data, could further improve detection accuracy and validation while maintaining privacy. 

Despite the extensive scholarship on women's empowerment and gender equality in the Global South, few studies have examined how changing livelihoods create new challenges and opportunities for women seeking access to intra-household decision-making. Here we examine pastoralist Maasai women's access to a range of household-level decisions that span more longstanding and more recent aspects of changing social and economic life. Our team conducted a mixed-methods data collection in 10 Maasai communities in northern Tanzania in 2018 and 2022. We (1) interviewed groups of women and men (n = 18) to identify key types of household decisions and the factors affecting women's access to them; and (2) conducted a survey of married women (n = 321) to identify individuals' perceptions of access to intra-household decision-making and other characteristics. We applied an information theoretic approach to model selection of fitted cumulative link mixed effects models. Our findings show that newer sources of human, social, and physical capital for women, including school-based education, land tenure, and community group membership, are associated with access to more contemporary decision types, including income generation, children's schooling, and children's health care. Alternatively, we find fewer pathways to decision-making for more longstanding decision types, including livestock management and children's marriage. Notably, agricultural land has a complex relationship with decision-making wherein basic access to land is associated with lower access to decision-making, but land tenure is associated with greater access. This study shows how marginalized women can leverage changing social and economic contexts to gain greater access to intra-household decision-making.