Subjective Causality and Counterfactuals in the Social Sciences

The article explores the role that subjective evidence of causality and associated counterfactuals and counterpotentials might play in the social sciences where comparative cases are scarce. This scarcity rules out statistical inference based upon frequencies and usually invites in-depth ethnographic studies. Thus, if causality is to be preserved in such situations, a conception of ethnographic causal inference is required. Ethnographic causality inverts the standard statistical concept of causal explanation in observational studies, whereby comparison and generalization, across a sample of cases, are both necessary prerequisites for any causal inference. Ethnographic causality allows, in contrast, for causal explanation prior to any subsequent comparison or generalization

Ethnographic Causality

This book explores the problem of causal inference when a sufficient number of comparative cases cannot be found, which would permit the application of frequency based models formulated in terms of explanatory causal generalizations

The micro-foundations of email communication networks

The popular and scientific literature has been discussing the advent of ‘big data’ with a measure of excitement and apprehension. For the first time in history, it seems, every breath we take, every move we make, someone’s watching us. But beyond their unprecedented volumes and the anxieties they raise, new communication data have a less obvious aspect, in so far as they are (arguably) of a fundamentally different kind, compared to traditional network datasets. Traditionally, social network data describe relationships between individuals; quasistatic social ties such as friendship, trust, kinship and employment relations. But when they are used to model digitally mediated communicative transactions, the connections are of a different nature. Instead of representing stable social ties, transactions (such as emails, text messages and phone calls) constitute sequences of shortlived events, with each transaction being a possible response to a preceding one and a potential stimulus to the next. The point of departure of this dissertation is the distinction between the topology of the tie structure and the temporal structure of sequences of communicative transactions. Theoretically, the dissertation explores mechanisms of co-evolution between these two structures at three levels of aggregation: (i) the macro-level consisting of the network itself or substructures within it, the level of an organization or a community as a whole; (ii) the meso-level consisting of nodes and social ties; and (iii) the micro-level consisting of sequences of interrelated communicative transactions. On the one hand, networks, individuals and ties are seen as the backdrop against which sequences of transactions unfold. On the other hand, transactions are considered to have (cumulative) consequences on the evolving structure of social ties and the network at large. Methodologically, the thesis uses a publicly available dataset consisting of email transactions within Enron, an American energy and services company, during the few months of its bankruptcy. Two methods are applied to identify and explore the mechanisms. First, the dataset is disaggregated into various types of email transactions, revealing how different transactions contribute to various structural properties of the network. Second, a multilevel analysis approach is used to reveal how structural and transactional mechanisms combine to elicit new communicative transactions on the part of email recipients. The mechanisms identified in the empirical chapters challenge received wisdom about the nature of social networks and their link to the notion of social (trans)action while at the same time addressing practical problems faced by network modellers who need to construct networks out of digitally mediated transaction datasets. In addition, the findings raise general questions about new types of data and the consequences they may have, not only for the field of social networks, but also for popular ways of thinking about ‘the social’ and ways of intervening in its course

The Coleman Diagram, Small N Inquiry and Ethnographic Causality

open access journalCertain key ideas have served to stimulate thought about the nature of sociological inquiry by presenting frameworks which are adjustable to the varying demands of different sorts of data. They provide, as it were, heuristics which enable a systematic debate about the optimal simplifications that are enjoined by varying types of data, notably what are sometimes labelled as quantitative and qualitative. In so doing they facilitate a variety of analyses, generate hypotheses and eventually lead to discoveries that transcend inherited boundaries. Our claim is that the Coleman diagram, though largely interpreted within a quantitative tradition, is one such framework for formalizing qualitative methods and for understanding the interplay between different types of data in the social science

Cytomegalovirus protein m154 perturbs the adaptor protein-1 compartment mediating broad-spectrum immune evasion

Cytomegaloviruses (CMVs) are ubiquitous pathogens known to employ numerous immunoevasive strategies that significantly impair the ability of the immune system to eliminate the infected cells. Here, we report that the single mouse CMV (MCMV) protein, m154, downregulates multiple surface molecules involved in the activation and costimulation of the immune cells. We demonstrate that m154 uses its cytoplasmic tail motif, DD, to interfere with the adaptor protein-1 (AP-1) complex, implicated in intracellular protein sorting and packaging. As a consequence of the perturbed AP-1 sorting, m154 promotes lysosomal degradation of several proteins involved in T cell costimulation, thus impairing virus-specific CD8+ T cell response and virus control in vivo. Additionally, we show that HCMV infection similarly interferes with the AP-1 complex. Altogether, we identify the robust mechanism employed by single viral immunomodulatory protein targeting a broad spectrum of cell surface molecules involved in the antiviral immune response

Creative destruction in science

Drawing on the concept of a gale of creative destruction in a capitalistic economy, we argue that initiatives to assess the robustness of findings in the organizational literature should aim to simultaneously test competing ideas operating in the same theoretical space. In other words, replication efforts should seek not just to support or question the original findings, but also to replace them with revised, stronger theories with greater explanatory power. Achieving this will typically require adding new measures, conditions, and subject populations to research designs, in order to carry out conceptual tests of multiple theories in addition to directly replicating the original findings. To illustrate the value of the creative destruction approach for theory pruning in organizational scholarship, we describe recent replication initiatives re-examining culture and work morality, working parents\u2019 reasoning about day care options, and gender discrimination in hiring decisions. Significance statement It is becoming increasingly clear that many, if not most, published research findings across scientific fields are not readily replicable when the same method is repeated. Although extremely valuable, failed replications risk leaving a theoretical void\u2014 reducing confidence the original theoretical prediction is true, but not replacing it with positive evidence in favor of an alternative theory. We introduce the creative destruction approach to replication, which combines theory pruning methods from the field of management with emerging best practices from the open science movement, with the aim of making replications as generative as possible. In effect, we advocate for a Replication 2.0 movement in which the goal shifts from checking on the reliability of past findings to actively engaging in competitive theory testing and theory building. Scientific transparency statement The materials, code, and data for this article are posted publicly on the Open Science Framework, with links provided in the article

Partners No More: Relational Transformation and the Turn to Litigation in Two Conservationist Organizations

The rise in litigation against administrative bodies by environmental and other political interest groups worldwide has been explained predominantly through the liberalization of standing doctrines. Under this explanation, termed here the floodgate model, restrictive standing rules have dammed the flow of suits that groups were otherwise ready and eager to pursue. I examine this hypothesis by analyzing processes of institutional transformation in two conservationist organizations: the Sierra Club in the United States and the Society for the Protection of Nature in Israel (SPNI). Rather than an eagerness to embrace newly available litigation opportunities, as the floodgate model would predict, the groups\u27 history reveals a gradual process of transformation marked by internal, largely intergenerational divisions between those who abhorred conflict with state institutions and those who saw such conflict as not only appropriate but necessary to the mission of the group. Furthermore, in contrast to the pluralist interactions that the floodgate model imagines, both groups\u27 relations with pertinent agencies in earlier eras better accorded with the partnership-based corporatist paradigm. Sociolegal research has long indicated the importance of relational distance to the transformation of interpersonal disputes. I argue that, at the group level as well, the presence or absence of a (national) partnership-centered relationship determines propensities to bring political issues to court. As such, well beyond change in groups\u27 legal capacity and resources, current increases in levels of political litigation suggest more fundamental transformations in the structure and meaning of relations between citizen groups and the state

How communication events shape social networks

With the advent of communication technology, access to interaction and communication data has increased dramatically. We can now trace communication events such as sending and receiving emails, text messages, and other forms of interaction via ICT. But how can we use this data to understand the structure of social networks and their development

Subjective causality and counterfactuals in the social sciences: toward an ethnographic causality?

The article explores the role that subjective evidence of causality and associated counterfactuals and counterpotentials might play in the social sciences where comparative cases are scarce. This scarcity rules out statistical inference based upon frequencies and usually invites in-depth ethnographic studies. Thus, if causality is to be preserved in such situations, a conception of ethnographic causal inference is required. Ethnographic causality inverts the standard statistical concept of causal explanation in observational studies, whereby comparison and generalization, across a sample of cases, are both necessary prerequisites for any causal inference. Ethnographic causality allows, in contrast, for causal explanation prior to any subsequent comparison or generalization