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Internet of Samples

Abstract Material samples are indispensable data sources in many natural science, social science, and humanity disciplines. More and more researchers recognize that samples collected in one discipline can be of great value for another. This has motivated organizations that manage a large number of samples to make their holdings accessible to the world. Currently, multiple projects are working to connect natural history and other samples managed by individual institutions or individuals into a universe of samples that follow FAIR principles. This poster reports the progress of the US NSF‐funded iSamples project, in the context of other efforts initiated by US DOE, DiSCCo, BCoN, and GBIF. By October 2021, we will also be able to present an iSamples prototype. We encourage individual organizations that hold material samples to get to know these projects and help shape these projects to realize the goal of a global linked sample cloud that connects all material samples and is accessible to all.

Richard, Stephen M.↗

The Russian Model of Internet Control and Its Significance

Russia has emerged as an exemplar of an innovative and experimental – though not always completely consistent or successful – alternative approach to information manipulation and control that differs significantly from the more-often discussed Chinese “Great Firewall” system and other approaches with an emphasis on systemic technical censorship. The Russian model relies on a mix of less overt, more plausibly deniable, legalistic, and often non-technical mechanisms to manipulate online information flows, narratives, and framings, to affect and shape public opinion without resort to universal censorship. The government uses surveillance, a panoply of vague laws, the prosecution or censorship of exemplars, proxy actors and hard to track extra-legal pressures, hacking and leaks, and a heavy emphasis on content production and manipulation to influence narratives and shape public opinion. This model for the domestic control of information not only fits with Russia’s own political system, but is likely to prove more resonant and easier to emulate across many other countries in which a systematic-censorship approach is not technologically or politically feasible. The learning and experimentation involved in this type of domestic information manipulation also has direct applicability to the use of information operations in international political and military competition. The future of this model will likely depend on continuing innovation, not least on the leveraging of advances in artificial intelligence and big data analysis. If successful, however, this might look very different from the future of information control in China – and have significantly different repercussions for democracies and the international system.

97 MATHEMATICS AND COMPUTING↗