Thinking with darkmatter: Re-routing race in the networks of info-capitalism

In the form of a discussion the founding editors of darkmatter journal reflect on the challenges of developing an online race project in the neoliberal context of knowledge production. The independent open access journal, operating at the borders of academia, attempts to grasp the shifting contours of contemporary race and racism in a networked postcolonial world. Against the limitations of solely working within disciplines such as Postcolonial or Cultural Studies, darkmatter brings into dialogue a diverse range of conceptual frameworks to address the proliferation of race discourses. Interrogating and reworking the developments in digital publishing, the project constructs a space for the exploration and dissemination of race thinking and creating relations between different fields, sites and groups. The threats posed by the info-colonialism of corporate academic publishing are transversed through the evolution of darkmatter with its experiments in techno-cultural design and innovations in autonomous working practices

An interesting case of suicidal poisoning

Aconite is one of the most poisonous known herbs. It has been known to be used as a homicidal poison from long time in history. However this is rarely known to be used as suicidal poison. Poisoning with aconite is usually fatal and death commonly occurs due to arrhythmias and cardiotoxicity. We report a case of attempted suicidal poisoning by aconite where patient survived in spite of documented cardiotoxic effects of the poison

Studying and Modeling the Connection between People's Preferences and Content Sharing

People regularly share items using online social media. However, people's decisions around sharing---who shares what to whom and why---are not well understood. We present a user study involving 87 pairs of Facebook users to understand how people make their sharing decisions. We find that even when sharing to a specific individual, people's own preference for an item (individuation) dominates over the recipient's preferences (altruism). People's open-ended responses about how they share, however, indicate that they do try to personalize shares based on the recipient. To explain these contrasting results, we propose a novel process model of sharing that takes into account people's preferences and the salience of an item. We also present encouraging results for a sharing prediction model that incorporates both the senders' and the recipients' preferences. These results suggest improvements to both algorithms that support sharing in social media and to information diffusion models.Comment: CSCW 201

The Indian Economy Since Liberalisation: the Structure and Composition of Exports and Industrial Transformation (1980 – 2000)

This paper assesses empirically structural change in the Indian manufacturing based export sector, based on an analysis of 143 industries / product groupings (mainly manufacturing industries). Trade indices such as Balassa´s revealed comparative advantage (RCA) index, and other variants commonly employed in the literature are used in our analysis. Regression analysis on the RSCA indices is used to further analyse structural change. Thereafter, the stability of the RCA indices is examined, as well as the process of their intertemporal evolution. Three technology categories (high technology, medium technology and low technology) are examined individually and SITC product codes are used as proxies for export industries, in order to look at industry movements within each of these groups. This analysis enables us to assess the export performance of Indian industries in the selected product-industry groupings in detail and evaluate the prospects for growth of particular Indian industrial groupings