Mining Warm Data is a group exhibition of sculpture, installation, film and photography with roots in Sri Lanka, Myanmar, Afghanistan, India, Pakistan, Tibet, Nepal and Bangladesh
February 5-8, 2016 | CURATED BY DIANA CAMPBELL BETANCOURT | Dhaka Art Summit
“A warm data body is a portrait, not a profile; when a warm data body is erased, the real body remains intact.
Warm data is easiest to define in opposition to what it is not: warm data is the opposite of cold, hard facts.
Warm data is subjective; it cannot be proved or disproved, and it can never be held against you in a
court of law.
Warm data is specific and personal, never abstract. Warm databases are public,
However, warm data can only be collected voluntarily, not by force; the respondent always has a choice — whether to answer or not, which questions to answer, on what terms she will answer, and if her answers will be anonymous.
A warm database is distinguished from a corporate or government database not primarily by its interface or its underlying structure, but by the way its data is collected.”
Mining Warm Data is a group exhibition of sculpture, installation, film and photography with roots in Sri Lanka, Myanmar, Afghanistan, India, Pakistan, Tibet, Nepal and Bangladesh. This show is inspired by the eleven-year collaboration making up Mariam Ghani and Chitra Ganesh’s Index of the Disappeared, whose newest chapter inhabits the central chamber of the show and brings the Index to South Asia for the first time. The works in this exhibition variously consider how an individual’s profile is defined through fantasy and subjectivity, beyond the traditional and clinical methods applied by statistical analyses, biometrics, government data agencies, economic interests, community interests, or even dictatorial censorship – “Assessment Work” to use mining terminology. Mariam Ghani’s definition of warm data is the central point on which theses works revolve.
Warm bodies, cold bodies, and metamorphic bodies transitioning between these states challenge the viewer in this exhibition, which seeks to give agency to the spectator’s imagination rather than reduce the artworks to their oen disturbing political implications. Some of the imagery in the show is viscerally disturbing such as the decomposing “body” Lost and Found (2012) by Huma Mulji; Minds to Lose (2008-2011) documenting Neha Choksi’s removal of warm mind from cold body by means of anaesthetic; and the final writings of self-immolating monks in Last Words (2015) by Ritu Sarin and Tenzing Sonam. However, the works have not been selected for their shock value, rather they raise the emotional temperature in the space to enable us to feel the pulse of warm data, rather than the cold encounter of slickly packaged statistics. Except for deliberately suppressed material, such as that investigated by Amar Kanwar, shocking imagery circulates in the media to the point that it risks desensitising the viewer - how does this confrontation translate when this imagery confronts us in the emotional space that is art?
What is considered “true” depends on the story told rather than the evidence available, and data can be manipulated to tell different or even contradictory stories. Statistical data can be corrupted and skewed and statistical arguments can be used to assert falsehoods, something that warm data does not seek to do. We cannot ignore power dynamics within systems and, while in warm data we openly recognise biases, datasets have biases too, and statisticians work to remove the outliers (also known as bad actors, deviants, and contaminants) to prove their points. This statistical terminology also implies cold hostility to “points” that do not fit into the algorithm. Some statistical terms actually sound threatening: control group, finite population control, breakdown point, class boundary, rejection region... to name only a few. A person is more than the sum of the data points collected about them, although digital marketers trolling through the Internet might think otherwise.
Participating artists include Lida Abdul, Gazi Nafis Ahmed, Pablo Bartholomew, Neha Choksi, Hasan Elahi, Chitra Ganesh, Mariam Ghani, Hitman Gurung, S. Hanusha, Maryam Jafri, Dilara Begum Jolly, Amar Kanwar, Huma Mulji, Nge Lay, Nortse, Tenzing Rigdol, Menika van der Poorten and Ritu Sarin & Tenzing Sonam.