Design hackathons offer a unique research opportunity to study time-pressured collaborative design. At the same time, research on design hackathons faces unique methodological challenges, prompting the exploration of new research approaches. This paper proposes a new data-collection framework that leverages a virtual format of hackathon events and enables a deeper insight into hackathon dynamics. The framework applicability is presented through a case study of the IDEA challenge hackathon, in which different intrusive and non-intrusive data collection approaches were used.

With the efflorescence of palaeoscientific approaches to the past, historians have been confronted with a wealth of new evidence on both human and natural phenomena, from human disease and migration to landscape change and climate. These new data require a rewriting of our narratives of the past, questioning what constitutes an authoritative historical source and who is entitled to recount history to contemporary societies. Humanities-based historical inquiry must embrace this new evidence, but to do so historians need to engage with it critically, just as they do with textual and material sources. This article highlights the most vital methodological issues, ranging from the spatiotemporal scales and heterogeneity of the new evidence to the new roles attributed to quantitative methods and the place of scientific data in narrative construction. It considers areas of study where the palaeosciences have “intruded” into fields and subjects previously reserved for historians, especially socioeconomic, climate, and environmental history. The authors argue that active engagement with new approaches is urgently needed if historians want to contribute to our evolving understanding of the challenges of the Anthropocene.

Understanding the dynamics of inter-group cooperation in human adaptation has been the subject of recent empirical and theoretical studies in evolutionary anthropology, beginning to fill gaps in our knowledge of how interactions across political, economic and social domains can – and often do – lead to stable, large-scale cooperation. Here we investigate dyadic intergroup cooperation in shotgun hunting in the Republic of the Congo. In the Congo Basin, inter-group cooperation between foragers and farmers is at the centre of an exchange system maintained by traditional norms and institutions such as fictive kinship. Here, we focused on what factors predict cooperative shotgun hunting exchanges between BaYaka and Yambe. We conducted structured interviews with 48 BaYaka hunters and 18 Yambe men who organise hunts in a village along the Motaba River. We used Bayesian multilevel regression models to investigate the influence of Yambe and BaYaka attributes on probability of dyadic cooperation. We found that BaYaka men's reputations as skilled hunters and their family size each predicted cooperation in shotgun hunting, whereas there was no effect of Yambe attributes (status, wealth, family size). We discuss the results in terms of evolutionary models of men as hunters and inter-group cooperation, as well as biodiversity conservation implications.

Avec l’efflorescence des approches paléoscientifiques du passé, les historiens ont été confrontés à une multitude de nouveaux indices sur des phénomènes tant humains que naturels, des maladies aux migrations en passant par les transformations du paysage et le climat. Ces données inédites exigent une réécriture des récits portant sur les périodes lointaines, remettant en cause à la fois les fondements de l’autorité des sources historiques traditionnelles et la légitimité des personnes habilitées à narrer le passé aux sociétés contemporaines. Les travaux d’histoire appuyés sur les sciences humaines doivent embrasser ces nouveaux types d’indices ; cependant, pour y parvenir, il est nécessaire pour les chercheurs de s’engager dans cette voie de manière critique, comme ils le font pour les sources textuelles et matérielles. Cet article souhaite mettre en lumière les questions méthodologiques les plus essentielles, qui vont des échelles spatio-temporelles et de l’hétérogénéité des nouvelles preuves au rôle à attribuer aux méthodes quantitatives et à la place des données scientifiques dans la construction narrative. Il examine les domaines d’étude où les paléosciences se sont « immiscées » dans des champs et des sujets auparavant réservés aux historiens, notamment l’histoire socio-économique, climatique et environnementale. Les auteurs soutiennent qu’il est urgent pour ces spécialistes d’explorer activement ces pistes novatrices, s’ils entendent contribuer à l’évolution de notre compréhension des défis de l’Anthropocène.

Hundreds of thousands of archaeological investigations in the United States conducted over the last several decades have documented a large portion of the recovered archaeological record in the United States. However, if we are to use this enormous corpus to achieve richer understandings of the past, it is essential that both CRM and academic archaeologists change how they manage their digital documents and data over the course of a project and how this information is preserved for future use. We explore the nature and scope of the problem and describe how it can be addressed. In particular, we argue that project workflows must ensure that the documents and data are fully documented and deposited in a publicly accessible, digital repository where they can be discovered, accessed, and reused to enable new insights and build cumulative knowledge.