Transdisciplinary Archaeology and the Future of Archaeological Practice: Citizen Science,Portable Science,Ethical Science

This paper presents a vision and a pathway for the future of archaeological practice, in which several fields that are currently considered distinct, including community-based collaborative archaeology, indigenous archaeology, and applied archaeology, could become the norm. Inspired by personal encounters with some exceptionally open and collaborative archaeology projects, as well as by recent advances in archaeological science, which are starting to make it more portable, this paper sets out an agenda for a more open approach to archaeological practice. It advocates a method of producing knowledge about the past that does not privilege one investigator over another, but gives everyone who is interested and wants to participate an opportunity to do. Specific methodological challenges that are discussed include the need to ‘flip’ the public outreach element of research designs, to embed open participation from the outset by nurturing relationships of mutual respect and trust, and to take advantage of, and improve, the portability of archaeological science, so that it can be done in and by local communities. It is argued here that the opening of archaeological research, including the archaeological sciences, to a wider range of participants, is the most ethical approach to archaeological practice in a pan-disciplinary research environment.     

Collaborative Governance of Climate Change Adaptation Across Spatial and Institutional Scales

We examine two related questions that are key for understanding collaborative outcomes in complex governance systems. The first is the extent to which collaboration among policy actors depends upon their joint participation in policy forums. The second is how the scales at which these forums operate conditionally affect the likelihood of collaboration. We address these questions using data from a recent survey on actors’ collaborative interactions as well as their participation in climate change adaptation policy forums in the Lake Victoria region in East Africa. Exponential random graph models show that actors are more likely to collaborate if they jointly participate in policy forums. However, this effect weakens at progressively higher spatial levels at which forums operate. Similarly, collaboration is less likely among actors jointly participating in forums that sponsor decision making at the higher collective choice level rather than lower operational choice level. While policy forums may catalyze collaboration, our findings suggest that their capacity to do so may be subject to scale‐dependent transaction costs of political contracting.     

Resistance and radical democracy: freedom,power and institutions

ABSTRACT

In this article, I argue that resistance and radical democracy can be used to the good of representative democracy. I submit that resistance is about the popular power – the freedom as power – to create better institutions. I argue that the conflict and resistance that is at the core of radical democracy enables freedom and democracy and resists domination best if it is institutionalized. This counterintuitive claim is substantiated by an argument for freedom as power through representation and how the power to resist is linked to at least four domains of freedom. This builds on the work of Machiavelli, Marx and Foucault, amongst others, and insights drawn from resistance struggles across the globe. I end by proposing institutional changes to representative democracy that, I suggest, would allow us to conceive of democracy as both a form of government and a constantly destabilizing transgressive practice.     

The Effects of Data Aggregation in Statistical Analysis

The problem of ecological correlation is now widely recognized but detailed analyses of the effects of aggregation on correlation and regression coefficients are rare. A short review of the aggregation problem is followed by an analysis of the specific effect of proximity aggregation on the slope coefficient of a bivariate linear model using data drawn from the Los Angeles Metropolitan region. The evidence suggests that changes in the slope coefficient are best related to the manner in which the covariation between the independent and dependent variables changes with increased aggregation.