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Bill Fulkerson

Natural hazard events and national risk reduction measures unconnected - 0 views

phys.org/...events-national-reduction.html

reduction measures hazard national

shared by Bill Fulkerson on 20 Jan 21 - No Cached
  • Bill Fulkerson on 20 Jan 21
     
    Natural hazard events, such as storms, floods, and wildfires, entail huge and growing costs all over the world, but they can also be occasions for countries to implement risk-reducing changes. There is no research consensus on whether natural hazard events lead to policy modifications or, instead, contribute to stability and preservation of existing solutions. Knowledge in this area to date has been based on individual case studies, and global trends have not been studied.
Bill Fulkerson

Management implications of long transients in ecological systems | Nature Ecology & Evo... - 0 views

www.nature.com/...s41559-020-01365-0.epdf

evolution ecology management systems ecological

shared by Bill Fulkerson on 20 Jan 21 - No Cached
  • Bill Fulkerson on 20 Jan 21
     
    Natural hazard events, such as storms, floods, and wildfires, entail huge and growing costs all over the world, but they can also be occasions for countries to implement risk-reducing changes. There is no research consensus on whether natural hazard events lead to policy modifications or, instead, contribute to stability and preservation of existing solutions. Knowledge in this area to date has been based on individual case studies, and global trends have not been studied.
Bill Fulkerson

Anatomy of an AI System - 1 views

anatomyof.ai

AI amazon

shared by Bill Fulkerson on 14 Sep 18 - No Cached
  • Bill Fulkerson on 14 Sep 18
     
    "With each interaction, Alexa is training to hear better, to interpret more precisely, to trigger actions that map to the user's commands more accurately, and to build a more complete model of their preferences, habits and desires. What is required to make this possible? Put simply: each small moment of convenience - be it answering a question, turning on a light, or playing a song - requires a vast planetary network, fueled by the extraction of non-renewable materials, labor, and data. The scale of resources required is many magnitudes greater than the energy and labor it would take a human to operate a household appliance or flick a switch. A full accounting for these costs is almost impossible, but it is increasingly important that we grasp the scale and scope if we are to understand and govern the technical infrastructures that thread through our lives. III The Salar, the world's largest flat surface, is located in southwest Bolivia at an altitude of 3,656 meters above sea level. It is a high plateau, covered by a few meters of salt crust which are exceptionally rich in lithium, containing 50% to 70% of the world's lithium reserves. 4 The Salar, alongside the neighboring Atacama regions in Chile and Argentina, are major sites for lithium extraction. This soft, silvery metal is currently used to power mobile connected devices, as a crucial material used for the production of lithium-Ion batteries. It is known as 'grey gold.' Smartphone batteries, for example, usually have less than eight grams of this material. 5 Each Tesla car needs approximately seven kilograms of lithium for its battery pack. 6 All these batteries have a limited lifespan, and once consumed they are thrown away as waste. Amazon reminds users that they cannot open up and repair their Echo, because this will void the warranty. The Amazon Echo is wall-powered, and also has a mobile battery base. This also has a limited lifespan and then must be thrown away as waste. According to the Ay
Bill Fulkerson

Flash droughts present challenge for warning system - 0 views

phys.org/...2020-03-droughts.html

warning drought flash

shared by Bill Fulkerson on 03 Mar 20 - No Cached
  • Bill Fulkerson on 03 Mar 20
     
    Drought is perhaps the most complex and least understood of all weather and climate extremes. Despite an increasing drought risk in a future warmer climate, this risk is often underestimated and continues to remain a "hidden hazard." Drought can span timescales from a few weeks to decades, and areas from a few kilometers to entire regions. Impacts usually develop slowly, are often indirect and can linger for long after the end of the drought itself.
Bill Fulkerson

New Potential Credit Risk Bombs: Exotic, 'Nonlinear' and Private Transactions | naked c... - 0 views

www.nakedcapitalism.com/...inear-private-transaction.html

capitalism markets risk

shared by Bill Fulkerson on 08 Nov 17 - No Cached
  • Bill Fulkerson on 08 Nov 17
     
    "The large point is that this development is a sign of how desperate search for yield has become. In and of itself this "new" product appears not to be significant in aggregate terms, so in isolation it is not too alarming. But it is the sort of thing that can burn the unwary badly. If it becomes a meaningful-sized activty, the large-scale hazards go up too. Stay tuned."
Bill Fulkerson

Zoonotic host diversity increases in human-dominated ecosystems | Nature - 0 views

www.nature.com/...s41586-020-2562-8

host diversity ecosystems

shared by Bill Fulkerson on 05 Aug 20 - No Cached
  • Bill Fulkerson on 05 Aug 20
     
    Land use change-for example, the conversion of natural habitats to agricultural or urban ecosystems-is widely recognized to influence the risk and emergence of zoonotic disease in humans1,2. However, whether such changes in risk are underpinned by predictable ecological changes remains unclear. It has been suggested that habitat disturbance might cause predictable changes in the local diversity and taxonomic composition of potential reservoir hosts, owing to systematic, trait-mediated differences in species resilience to human pressures3,4. Here we analyse 6,801 ecological assemblages and 376 host species worldwide, controlling for research effort, and show that land use has global and systematic effects on local zoonotic host communities. Known wildlife hosts of human-shared pathogens and parasites overall comprise a greater proportion of local species richness (18-72% higher) and total abundance (21-144% higher) in sites under substantial human use (secondary, agricultural and urban ecosystems) compared with nearby undisturbed habitats. The magnitude of this effect varies taxonomically and is strongest for rodent, bat and passerine bird zoonotic host species, which may be one factor that underpins the global importance of these taxa as zoonotic reservoirs. We further show that mammal species that harbour more pathogens overall (either human-shared or non-human-shared) are more likely to occur in human-managed ecosystems, suggesting that these trends may be mediated by ecological or life-history traits that influence both host status and tolerance to human disturbance5,6. Our results suggest that global changes in the mode and the intensity of land use are creating expanding hazardous interfaces between people, livestock and wildlife reservoirs of zoonotic disease.
Steve Bosserman

Jane Jacobs's Theories on Urban Planning-and Democracy in America - The Atlantic - 0 views

www.theatlantic.com/...501104

democracy urban design ecosystems diversity neighborhoods

shared by Steve Bosserman on 17 Nov 16 - No Cached
  • Urban life was Jacobs’s great subject. But her great theme was the fragility of democracy—how difficult it is to maintain, how easily it can crumble. A city offered the perfect laboratory in which to study democracy’s intricate, interconnected gears and ballistics. “When we deal with cities,” she wrote in The Death and Life of Great American Cities (1961), “we are dealing with life at its most complex and intense.” When cities succeed, they represent the purest manifestation of democratic ideals: “Cities have the capability of providing something for everybody, only because, and only when, they are created by everybody.” When cities fail, they fail for the same reasons democracies fail: corruption, tyranny, homogenization, overspecialization, cultural drift and atrophy.
  • I was encouraged to believe that simple conformity results in stagnation for a society, and that American progress has been largely owing to the opportunity for experimentation, the leeway given initiative, and to a gusto and a freedom for chewing over odd ideas. I was taught that the American’s right to be a free individual, not at the mercy of the state, was hard-won and that its price was eternal vigilance, that I too would have to be vigilant.
  • Her 1,500-word speech, a version of which appears in Vital Little Plans, became the basis for The Death and Life of Great American Cities. Her main argument was Kirk’s: Small neighborhood stores, ignored by the planners in their grim demolition derby, were essential social hubs. She added that sidewalks, stoops, laundries, and mailbox areas were also indispensable centers of community activity, and that sterile, vacant outdoor space served nobody. “The least we can do,” she said, “is to respect—in the deepest sense—strips of chaos that have a weird wisdom of their own.”
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  • Reduced to a word, Jacobs’s argument is that a city, or neighborhood, or block, cannot succeed without diversity: diversity of residential and commercial use, racial and socioeconomic diversity, diversity of governing bodies (from local wards to state agencies), diverse modes of transportation, diversity of public and private institutional support, diversity of architectural style. Great numbers of people concentrated in relatively small areas should not be considered a health or safety hazard; they are the foundation of a healthy community. Dense, varied populations are “desirable,” Jacobs wrote,
  • Madison argued that as you increase the “variety of parties and interests” contained within a republic, “you make it less probable that a majority of the whole will have a common motive to invade the rights of other citizens.”
  • “We need all kinds of diversity,” Jacobs concluded in Death and Life, “so the people of cities can sustain (and further develop) their society and civilization.”
  • In her comparative study of fallen empires, Jacobs identifies common early indicators of decline: “cultural xenophobia,” “self-imposed isolation,” and “a shift from faith in logos, reason, with its future-oriented spirit … to mythos, meaning conservatism that looks backwards to fundamentalist beliefs for guidance and a worldview.” She warns of the profligate use of plausible denial in American politics, the idea that “a presentable image makes substance immaterial,” allowing political campaigns “to construct new reality.” She finds further evidence of our hardening cultural sclerosis in the rise of the prison-industrial complex, the prioritization of credentials over critical thinking in the educational system, low voter turnout, and the reluctance to develop renewable forms of energy in the face of global ecological collapse.
  • In the foreword to the 1992 Modern Library edition of Death and Life, Jacobs likens cities to natural ecosystems. “Both types of ecosystems,” she writes, “require much diversity to sustain themselves … and because of their complex interdependencies of components, both kinds of ecosystems are vulnerable and fragile, easily disrupted or destroyed.”
Steve Bosserman

Are You Creditworthy? The Algorithm Will Decide. - 0 views

undark.org/...redit-scoring-machine-learning

algorithms discrimination bias credit scoring

shared by Steve Bosserman on 12 May 18 - No Cached
  • The decisions made by algorithmic credit scoring applications are not only said to be more accurate in predicting risk than traditional scoring methods; its champions argue they are also fairer because the algorithm is unswayed by the racial, gender, and socioeconomic biases that have skewed access to credit in the past.
  • Algorithmic credit scores might seem futuristic, but these practices do have roots in credit scoring practices of yore. Early credit agencies, for example, hired human reporters to dig into their customers’ credit histories. The reports were largely compiled from local gossip and colored by the speculations of the predominantly white, male middle class reporters. Remarks about race and class, asides about housekeeping, and speculations about sexual orientation all abounded.
  • By 1935, whole neighborhoods in the U.S. were classified according to their credit characteristics. A map from that year of Greater Atlanta comes color-coded in shades of blue (desirable), yellow (definitely declining) and red (hazardous). The legend recalls a time when an individual’s chances of receiving a mortgage were shaped by their geographic status.
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  • These systems are fast becoming the norm. The Chinese Government is now close to launching its own algorithmic “Social Credit System” for its 1.4 billion citizens, a metric that uses online data to rate trustworthiness. As these systems become pervasive, and scores come to stand for individual worth, determining access to finance, services, and basic freedoms, the stakes of one bad decision are that much higher. This is to say nothing of the legitimacy of using such algorithmic proxies in the first place. While it might seem obvious to call for greater transparency in these systems, with machine learning and massive datasets it’s extremely difficult to locate bias. Even if we could peer inside the black box, we probably wouldn’t find a clause in the code instructing the system to discriminate against the poor, or people of color, or even people who play too many video games. More important than understanding how these scores get calculated is giving users meaningful opportunities to dispute and contest adverse decisions that are made about them by the algorithm.
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