We investigate how fairness concerns in¯uence individual behaviour in social dilemmas. Using a Sequential Prisoner's Dilemma experiment we analyse the extent to which co-operation is conditional on ®rst-mover co-operation, repetition, economic incentives, subject pool (United Kingdom vs. United States) and gender. We ®nd the most important variable in¯uencing cooperation is the ®rst-mover's choice, supporting the argument that co-operative behaviour in social dilemmas re¯ects reciprocation rather than unconditional altruism. However, we also ®nd that co-operation decreases with repetition, and reciprocation falls as its material cost rises. for helping conduct the experiments. The Faculty of Economic and Social Studies, University of Manchester, and the Nuf®eld Foundation provided ®nancial support. 1 This game can be viewed as a simpli®ed version of the fair-wage effort model. See, for example, Dufwenberg and Kirchsteiger (1998).

Ethnic minorities in England and Wales are spatially concentrated in relatively-deprived urban areas. Both geographic clustering and the economic characteristics of ethnically-concentrated neighbourhoods can impact upon the opportunities and constraints facing residents of such areas. This paper explores the relationship between the existence of enclaves and the employment prospects of ethnic minorities in England and Wales. It is shown that there is considerable spatial variation in employment outcomes. There is a lower incidence of self-employment in more ethnically-concentrated urban areas, which contradicts the view of ethnic entrepreneurship as an enclave phenomenon. Unemployment rates are also higher for minorities living in more concentrated areas. Enclaves in England and Wales do not appear to o¨er many economic bene®ts to minority individuals.JEL classi®cation: J23, J7

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This article examines trends in entrepreneurship among minority ethnic groups in Britain. It begins with an analysis of how self-employment rates for different ethnic groups have evolved since the early 1990s. We find that rates of self-employment have fallen for Indians and the Chinese and argue that this is due to increased opportunities in paid employment, partly brought about by demographic change. However, entrepreneurs from these groups still work the longest hours. In contrast, self-employment rates have risen for Black Caribbean males in recent years and remain high for Pakistani males. We also document how the proportion of the self-employed with employees has varied over time and discuss trends in the extent to which the self-employment of different ethnic groups is concentrated within particular sectors.

Reusable, publicly available data is a pillar of open science. The Cancer Imaging Archive (TCIA) is an open image archive service supporting cancer research. TCIA collects, de-identifies, curates and manages rich collections of oncology image data. Image data sets have been contributed by 28 institutions and additional image collections are underway. Since June of 2011, more than 2,000 users have registered to search and access data from this freely available resource. TCIA encourages and supports cancer-related open science communities by hosting and managing the image archive, providing project wiki space and searchable metadata repositories. The success of TCIA is measured by the number of active research projects it enables (>40) and the number of scientific publications and presentations that are produced using data from TCIA collections (39).

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The Cancer Imaging Archive (TCIA) is the U.S. National Cancer Institute’s repository for cancer imaging and related information. TCIA contains 30.9 million radiology images representing data collected from approximately 37,568 subjects. This data is organized into collections by tumor-type with many collections also including analytic results or clinical data. TCIA staff carefully de-identify and curate all incoming collections prior to making the information available via web browser or programmatic interfaces. Each published collection within TCIA is assigned a Digital Object Identifier that references the collection. Additionally, researchers who use TCIA data may publish the subset of information used in their analysis by requesting a TCIA generated Digital Object Identifier. This data descriptor is a review of a selected subset of existing publicly available TCIA collections. It outlines the curation and publication methods employed by TCIA and makes available 15 collections of cancer imaging data.

Self-employment, Ethnicity, Immigrants, J23, J7, L26,