Collision hotspots for migrating birds revealed in new study
phys.org
phys.org
Despite mentioning the vulnerability maps, it does not link to such a map. It does not even link to the study or paper. I imagine many people would be interested in those significant details.
https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365...
Other commenters replied to me and linked to the study, which does have a low-res but useful map. That is all I wanted, and it should have been linked in the original article.
Paper: https://besjournals.onlinelibrary.wiley.com/doi/10.1111/1365...
Map: https://besjournals.onlinelibrary.wiley.com/cms/asset/9cf4b1...
"Dr. Aldina Franco, the project supervisor at UEA, said: "This collaborative study including research from 51 researchers and 15 countries is a great example of where working together can start to answer some of the big questions around the threats that African-Eurasian migrants face on their long annual journeys."
I am curious as to why you think that it is significant that I have posted an article about research on avian migration without being involved in the field..?
From my perspective, the collaborative nature of the research was the reason I chose to post it here since the nature of collaboration is an area of some interest and relevance to many involved in internet technology here..
I am much more curious as to exactly how you come characterize my about: entry here as having "everything to do with seeking and exploring political conflict!"..
Would you care to elaborate?
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To save others' time, here is the relevant part of my HN about:
"I work with universities and similar institutions on enterprise information systems and I conduct semantic analysis based research on macroeconomic / geopolitical risks in information systems under multi- polar/cultural contention.
My aim is to trace the cybernetic implications of dynamics latent in human organization since the dawn of civilization - whose algorithmically induced resurgence as cyber-tribalism / anti-intellectualism now threaten it."
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While political conflict is indeed one aspect of human organization, I do not seek conflict, political or otherwise, any more than those engaged in public health administration research seek conflict with anti-vaccine movements..
Human organization is comprised of phenomena that are today eminently accessible through quantifiable research methods, including research into areas that were criticized as inherently qualitative in the days before today's deep learning techniques.
While I realize that no amount of research in public policy will stop the conflict and that it will always be much easier to make salacious accusations than to refute them factually, I find that process edifying, especially in a forum like HN..
I look forward to your response.
> significant ; there is an active war nearby that fills the news; there is an active Holocene Extinction event; birds are deeply impacted.. electrical power generation across borders is a cause of this war and on the agenda of every military; the means of electrical power generation aside from fossil fuels is key to de-escalating the extinction events; you and I and thousands of others, are drawn to these topics "here and now"
Your self-description shows both "systems" and "contention"
"Human organization ... before today's deep learning techniques" definite maybe on that! The relationship of DeepLearning to cross-border infrastructure mapping of elevated interest to both alarmed Extinction researchers and mobilized War participants, is sort of aside from the field of DeepLearning
"no amount of research in public policy will stop the conflict" hard to say that although generally research itself does not stop or start things
"make salacious accusations" its your anonymous nick, so your alarm is really core to this reply. Was it salacious? Are those your own words in your bio? Miscommunication is often more common than real communication, when the trust levels drop on an open comment board. Let's say that I dont really care about the reputation of the nick, but I do care about both War and Extinction.. your explorations brought the knowledge, and the knowledge is on topics of elevated concern.. so yes there is concern here..
In referring to "dynamics latent in human organization since the dawn of civilization", I am speaking broadly of the sweep of human development from the earliest evidence available in archaeology and linguistics. Intricacies of that research are inappropriate here, but even a casual consideration of human (semiotics and, later) communication continuing from the earliest artifacts of the Holocene through various languages, cultures and beliefs into our current Anthropocene epoch renders current belief systems (equally) moot.
As such, appeals to current beliefs and borders are not different from the ones that motivated Prussian, Byzantine, Roman, Greek, Egyptian subjects in veracity, but rather only in the pattern of their employ as propaganda to further a given leaders aims.. Thus the underlying dynamics latent in human organization are precisely those that proved successful from Rameses to Cesar to Napoleon to Hitler.. The relevance of emerging research in archaeology and linguistics lies in its ability to illustrate these dynamics in the periods before recorded history, as well as to correct some of the distortion inevitable in historical records.
Personally, I started out long ago as a student of Eastern philosophy and language, but, in my opinion, current knowledge casts the Western philosophic tradition up to the period commonly referred to as the Enlightenment as singular in human history.
To the extent that fidelity to those principles was achieved, our current collective knowledge also shows the periods of revolution that resulted, from the American revolution that the French royalty funded, through the revolution in their own system that resulted, through the rest of the (Western) European continent and even the not so revolutionary restoration in Japan and the diminution of the Royals in Britain and beyond as foundational to the liberal world order as it is being attempted now after the ages of Imperialism and Fascism.
Motivations and rationalizations are indeed changeable, and the same words are used by diplomats and dictators to very different ends throughout history, to say nothing of the difficulties in translation (say between the English word "guarantee" and its Ukrainian /Russian equivalents or the uses of Han Chinese characters now in China, Taiwan and Japan.. ).
We must be very careful not to fall into the false equivalence of those hiding authoritarianism and totalitarianism behind empty labels and 'whataboutisms' - this is where we must use technology, such as is available in semantic analysis powered by the techniques of deep learning, to make patterns of communication comparable and contrast-able across languages, eras and nations.
There are quantifiable patterns in the messaging of governments. Today we have tools to make this apparent over vast corpora of text spanning borders and eras.. As one person, there is little I can do, but these patterns exist in the vast written records that are the heritage of our species and they will emerge.. Participating in this process is where my research aims intersect with the political process..
That said, I think the design of future systems is much more important than this line of intellectual pursuit, no matter how principled it may be. Like you, I also care about our current destruction of the environment within which we have developed over the Holocene, whether it is by climate change or nuclear holocaust. In my opinion, global information infrastructure that carries enough authority to prevent future wars of aggression will not look like the current UN so much as some future integration of systems for fraud detection and prevention writ large.. ..and capable of making Kleptocracy as well as corporate greenwashing clear to all who have power to do something about it..
This is the challenge of information systems in the dangerous times we live in.
BTW my 'nick' is just an abbreviation for recursive neural tensor network.