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We imagine indigenous cultures as the epitome of caring and sharing. In scholarly and popular representations of Indigenous Australians, resources are freely shared within kin groups. Land is a cosmological actor and cannot be owned. Besides, survival in harsh environments requires complete cooperation. But traditionally in Indigenous Australian cultures, knowledge is anything but open (Keen 1994). Controlling the circulation of knowledge is the basis of traditional authority (perhaps all human societies are ‘knowledge economies’).

In postcolonial societies, the control of knowledge held by indigenous communities and produced from indigenous resources (including indigenous bodies and body parts) has become ‘political’ as well as ‘cultural’. Indigenous communities fight to maintain control over lands and peoples, and Western research is often in the firing line. Aware of the history of racial science and more recent scandals (Anderson 2002; Reardon 2005), indigenous people may be wary of participating in research (Smith 2012). Calls to global knowledge and the greater good that motivate ‘altruistic’ participation in the general community ring false to those who feel that scientific progress is made not for their benefit, but at their expense....

Everywhere we are struggling with when to share and when to withhold. Perhaps the critical point is not whether something is open or closed, but who has the control to make this decision. The world of open access proliferates the decisions that need to be made....

Yet when a journal is able to reach a readership no longer defined exclusively by members of a discipline (if this is ever the case), and anticipates that wider market of readers/consumers, does that not change the kinds of things (topics, concerns, methods) that are valued and thus supported by open-access journals and their editors, peer reviewers, etc.? Open access is not only about dissemination; it is about the expectation of an audience as a mode of scholarly production....

‘Opening’ work to collaboration with local actors (as described by Sharon above) does not necessary lead to greater equality. I think we should question the notions of the public sphere and of sharing that underlie normative understandings of open access. As any anthropologist who has read their Mauss can tell you, sharing can be a profoundly coercive practice as much as a leveling one. Sharing and collaboration restrain as much as they generate.
archives  data  open_access  openness  indigenous  anthropology 
yesterday by shannon_mattern
reconstitute the world « Bethany Nowviskie
What kinds of indigenous knowledge do we neglect to represent—or fail to understand—in our digital libraries? What tacit and embodied understandings? What animal perspectives? What do we in fact choose, through those failures, to extinguish from history—and what does that mean at this precise cultural and technological moment? On the other hand, what sorts of records and recordable things should we let go—should we be working as hard as possible to protect from machine learning for the good of vulnerable communities and creatures—knowing, as we do, that technologies of collection and analysis are by nature tools of surveillance and structures of extractive power? And, finally—from an elegiac archive, a library of endings, can we foster new kinds of human—or at the very least, humane—agency? ...

The Biodiversity Heritage Library is a Smithsonian-based international consortium and digitization collective of botanical and natural history libraries.... “Mining Biodiversity” was the theme of a productive 2015 NEH Digging into Data grant, which coupled novel text-mining and visualization techniques with crowdsourcing and outreach. And projects like PaleoDeepDive and GeoDeepDive represent AI-assisted efforts to pull out so-called “dark data” from its bibliographic tar pits: those idiosyncratic features in scientific journal literature like tables and figures, that have not easily leant themselves to structured searching and the assembly of comparative datasets. ... Meanwhile projects like Digital Life, out of the University of Massachusetts, “aim to preserve the heritage of life on Earth through creating and sharing high-quality… 3D models of living organisms.” ... They do this through photogrammetry, circling living creatures with their awesomely-named BeastcamTM, and converting the resulting, overlapping 2d images to highly-accurate 3d representations. And thus the field of biodiversity informatics continues to grow and pose data curation challenges of various sorts, ranging from the preservation and analysis of 3d models to large-scale environmental data generated through remote sensing, to the collection and analysis of, for instance, audio data relating to deforestation of the Brazilian rainforest. ... The use of machine learning in monitoring contexts of various sorts is rapidly becoming the norm, and it is big business more often than community-led conservation. Microsoft has recently announced an “AI for Earth” initiative which commits $50 million dollars in grant funds over the next 5 years for “artificial intelligence projects that support clean water, agriculture, climate, and biodiversity”...

And because we no longer design these little agents to understand things—we simply filter them based on their ability to pass tests—we don’t really understand, ourselves, how they work. Mostly we just understand those tests. ...

a truly successful set of machine learning algorithms can begin to produce its own training data to advance in understanding and pass more real-world tests. This is the generation of completely imagined, fictional and truly speculative collections: manufactured botany, or book pages—leaves that never were. It’s information that the machine has dreamt up from its past encounters with real-world data...

Abelardo Gil-Fournier is applying this technology to his artistic work on predictive landscapes, presented a couple of weeks ago as a workshop in Linz, called Machine Learning: An Earthology of Moving Landforms. This is (I quote) “ongoing research on the image character and temporality of planetary surfaces.” As his collaborator Jussi Parikka puts it, “we can experiment with the correlation of an “imaged” past (the satellite time-lapses) with a machine generated “imaged” future and test how futures work; how do predicted images compare against historical datasets and time-lapses and present their own … temporal landscapes meant to run just a bit ahead of [their] time.”...

Here we have Nao Tokui’s “Imaginary Soundscapes,” a “web-based sound installation, where viewers can freely walk around Google Street View and immerse themselves in an artificial soundscape [that is based on the visual qualities of real-world spaces, but has been wholly] “imagined” by… deep learning models.”...

I’d love to see, for instance, an artistic or analytical machine learning experiment using BHL collections and Scottish flower painter Patrick Syme’s 1814 update to Werner’s Nomenclature of Colors. This book has been recently digitized and republished by the Smithsonian. It contains “the color names used by naturalists, zoologists and archaeologists through the 19th century,” and it shaped Charles Darwin’s formal chromatic vocabulary on the voyage of the Beagle. How might we use machine learning to identify references to these standardized colors in images and texts throughout Western library collections, and put them into conversation with indigenous color-names and perspectives on creatures living and lost?
libraries  archives  ecology  machine_vision  artificial_intelligence  erasure  privacy  security  climate_change  speculation  deep_fakes 
yesterday by shannon_mattern
Recommendations for good Linked Open Data Good practices
Recommendations for Good Practices When Initiating Linked Open Data (LOD) in Museums and Other Cultural-Heritage Institutions These recommendations are excerpted from the AAC publication, Overview and Recommendations for Good Practices [PDF] The following text is meant for museums and other types o via Pocket
archives  data  howto  libraries  linkeddata  museums 
yesterday by kintopp
How Long Can Our Content Last? • Robin Rendle
But the biggest flaw with all this digital preservation stuff isn’t HTML or CSS in my opinion. It’s the concept of a domain that we rent. Today we borrow spaces on the web and put up our flimsy little flags on top. And then the links get lost in a shuffle between apartments or jobs, between marriages or administrations. Or when someone accidentally unplugs something. Or, tragically, if someone dies.
web  archives  preservation 
3 days ago by madamim
The Code4Lib Journal – FAIR Principles for Library, Archive and Museum Collections: A proposal for standards for reusable collections
In this article[2] we propose a body of requirements for making LAM collections findable, accessible, interoperable, and reusable (FAIR), as well as a set of recommendations for assessing existing institutional situations and for implementation of the requirements.
metadata  collectionsonline  onlinecollections  GLAM  museums  libraries  archives  openculturaldata  opendata 
5 days ago by miaridge
Newspaper Pledges to Return ISIS Documents to Iraq
@ursulind in @AlFanarMedia on the resolution (seemingly) of the NYTimes' removal of ISIS files from Iraq
iraq  archives  nytimes  isis 
5 days ago by arabist
Are.na / Blog – Towards A Library Without Walls
"Collaboration has also become key to the way we conceive associative indexing on today’s version of the Internet, which could not have been anticipated by Bush at today’s scale. In “As We May Think,” Bush does acknowledge the possibility of sharing links generated by the Memex in the example of a researcher reproducing a trail on the Turkish bow for inclusion in a colleague’s “more general” trail.6 However, the scale of a hypertextual tool such as Are.na, which has over 20,000 users, far exceeds the one-to-one exchange Bush envisioned for his Memex, with significant implications for associative indexing. This phenomenon has its own neologism, “crowdsourcing,” wherein large numbers of users, most typically through the Internet, contribute to an information platform, as seen widely from commercial endeavors such as Google-owned Waze to non-profit projects such as Wikipedia. The relative advantages and disadvantages of crowdsourcing for knowledge production are the subject of much literature but could be briefly alluded to here in terms of diversity of material, collective intelligence, increased scale, and lack of consolidated control. But at its most promising, crowdsourcing creates the potential for rich communities that can form around information sharing, as is well articulated by Paul Duguid and John Seely Brown writing on the social life of information:
“[D]ocuments do not merely carry information, they help make it, structure it, and validate it. More intriguing, perhaps, documents also help structure society, enabling social groups to form, develop, and maintain a sense of shared identity. Viewing documents as mere information carriers overlooks this social role.”7
"



"Considering the ways in which Are.na operates within a community of artists and culturally-engaged individuals, contrasting Are.na with Bush’s Memex highlights the importance of conceiving how knowledge forms, knowledge tools, and knowledge communities all interplay with one another. By acknowledging other forms of knowledge beyond the scientific and better understanding the role sociality plays in our contemporary experience of information, we can better define what constitutes information and how best to describe, classify, organize, and make it accessible as librarians. Rather than prioritizing static information, fixed organization, and solitary experiences as the conventional library environment is known to do, those of us who work in LIS can adopt the more boundless strategies that we encounter in hypertextual tools such as Are.na for the benefit of the communities that we serve, essentially working towards becoming a library without the brick walls that Lampland and Star refer to in regards to infrastructure that fails to serve user needs. Parallel to thinking about what Are.na might mean for librarianship, we can look to extant projects such as the Prelinger Library and the Sitterwerk’s Kunstbibliothek, whose methods for organizing their material also exist as an alternative to more traditionally-organized libraries.

So to expand on Sam’s question and its inverse: What could a reference interview that uses Are.na look like? What would happen if books in an OPAC were nodes that could be linked by users? And what if the discovery tools we design actually encouraged research that is social, elusive, and nonlinear?"
are.na  libraries  internet  web  online  2017  karlywildenhaus  mlis  archives  archiving  marthalampland  susanleighstar  hypercad  hypertext  vannevarbush  paulotlet  tednelson  stéphanemallarmé  knowledge  information  clissification  taxonomy  accessibility  librarians  social  memex  paulduguid  johnseelybrown  crowdsourcing  aswemaythink  connections  collaboration 
8 days ago by robertogreco
Twitter
RT : Happy on and all. Hard to think of time when have been more important. We are the trusted guardia…
IAD18  archives  from twitter
8 days ago by miaridge

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