From Checkers to Chess: Using Social Science Lessons to Advance Wildfire Adaptation Processes

2021 ◽  
Author(s):  
Travis B Paveglio

Abstract This synthesis uses an overarching analogy to outline key wildfire social science lessons and present human adaptation to wildfire as an ongoing process of negotiated trade-offs dictated by the site-specific context of particular places. Use of an overarching analogy allows presentation of cross-cutting concepts or considerations for: (1) documenting local social diversity and determining how it might influence future efforts for wildfire adaptation; (2) understanding how landscape-scale patterns of social diversity or land management influence efforts to ‘coexist’ with wildfire; and (3) determining how alignments between local, regional, and federal influences necessitate diverse experimental adaptation approaches. The synthesis closes with specific recommendations for fostering wildfire adaptation coordinators and systematic processes that help facilitate diverse, tailored efforts from which generalizable best-practices could be derived. This article also outlines key considerations for research or monitoring of emergent organizations and efforts that bridge scales of collective action surrounding wildfire management. Study implications: Synthesis of existing science indicates that efforts to promote wildfire adaptation should be tailored to the unique social circumstances that affect broader landscapes. Approaching tailored adaptation to wildfire requires a series of considerations that help assess social diversity, better conceive of opportunities for community development that span landscapes, and evaluate how efforts at various scales (e.g., local, regional, state) enable or constrain the development of best practices. The overarching analogy provided in this article helps cut across divergent concepts to articulate existing approaches and concepts that can help achieve the above goals.

Author(s):  
Chelsea Barabas

This chapter discusses contemporary debates regarding the use of artificial intelligence as a vehicle for criminal justice reform. It closely examines two general approaches to what has been widely branded as “algorithmic fairness” in criminal law: the development of formal fairness criteria and accuracy measures that illustrate the trade-offs of different algorithmic interventions; and the development of “best practices” and managerialist standards for maintaining a baseline of accuracy, transparency, and validity in these systems. Attempts to render AI-branded tools more accurate by addressing narrow notions of bias miss the deeper methodological and epistemological issues regarding the fairness of these tools. The key question is whether predictive tools reflect and reinforce punitive practices that drive disparate outcomes, and how data regimes interact with the penal ideology to naturalize these practices. The chapter then calls for a radically different understanding of the role and function of the carceral state, as a starting place for re-imagining the role of “AI” as a transformative force in the criminal legal system.


Author(s):  
Rebecca L. Hite

Abstract One of the most fundamental understandings within biology is evolution, yet often ascribed as one of the most misunderstood scientific concepts by the American public. Despite not being explicitly mentioned in most American science standards, human evolution is nevertheless taught as an engaging context for understanding complex evolutionary processes among pre-college science students. Therefore, pre-college science teachers seek out human evolution content experts (e.g., Smithsonian Institution, NOVA, ENSI) to procure curricula (lesson plans) to teach these concepts in their classrooms. For students to accurately understand human evolution, research recommends lesson plans employ a diversity of direct and indirect evolutionary evidence, infused with social science perspectives related to the nature of science (NOS) and/or socioscientific issues (SSI) to foster necessary conceptual change. Given such empirical affordances of using multiple sources of evidence and integrated social science perspectives to foster conceptual change in teaching human evolution, it is unknown to what extent these attributes are present in lesson plans created by these entities and targeted to pre-college science teachers. To ascertain to what extent pre-college lesson plans on human evolution employ these research-based best practices, this paper analyzed 86 lesson plans created by 18 entities with content expertise in human evolution concepts that had developed online pre-college lesson plans. Among the sampled lesson plans, less than one third (29%) presented a combination of direct and indirect evidence. Further, a mere 17% incorporated elements of NOS, where SSI (like historical (n = 3) and racial (n = 1)) perspectives were fewer. In sum, findings suggest available resources are deficient in fostering the conceptual change necessary for pre-college students to fully understand human evolution concepts. This study evidences a continued need to ensure best practices are incorporated into human evolution lesson plans created for pre-college teachers.


Author(s):  
Silvana Chambers ◽  
Kim Nimon ◽  
Paula Anthony-McMann

This paper presents best practices for conducting survey research using Amazon Mechanical Turk (MTurk). Readers will learn the benefits, limitations, and trade-offs of using MTurk as compared to other recruitment services, including SurveyMonkey and Qualtrics. A synthesis of survey design guidelines along with a sample survey are presented to help researchers collect the best quality data. Techniques, including SPSS and R syntax, are provided that demonstrate how users can clean resulting data and identify valid responses for which workers could be paid.


2021 ◽  
Author(s):  
Jan Sandstad Næss ◽  
Otavio Cavalett ◽  
Francesco Cherubini

<p>Bioenergy plays a key role in scenarios limiting global warming below 2°C in 2100 relative to pre-industrial times. Land availability for bioenergy production is constrained due to competition with agriculture, nature conservation and other land uses. Utilizing recently abandoned cropland to produce bioenergy is a promising option for gradual bioenergy deployment with lower risks of potential trade-offs on food security and the environment. Up until now, the global extent of abandoned cropland has been unclear. Furthermore, there is a need to better map bioenergy potentials, taking into account site-specific conditions such as local climate, soil characteristics, agricultural management and water use.</p><p>Our study spatially quantify global bioenergy potentials from recently abandoned cropland under the land-energy-water nexus. We integrate a recently developed high-resolution satellite-derived land cover product (European Space Agency Climate Change Initiative Land Cover) with an agro-ecological crop yield model (Global Agro-Ecological Zones 3.0). Abandoned cropland is mapped as pixels transitioning from cropland to non-urban classes. We further identify candidate areas for nature conservation and areas with increased pressure on water resources. Based on climatic conditions, soil characteristics and agricultural management levels, we spatially model bioenergy yields and irrigation water use on abandoned cropland for three perennial grasses. We compute and analyze bioenergy potentials for 296 different variants of management factors and land and water use constraints. By assessing key energy, water and land indicators, we identify optimal bioenergy production strategies and site-specific trade-offs.</p><p>We found 83 million hectares of abandoned cropland between 1992 and 2015, equivalent of 5% of today’s cropland area. Bioenergy potentials range between 6-39 exajoules per year (EJ yr<sup>-1</sup>) (11-68% of today’s bioenergy demand), depending on agricultural management, land availability and irrigation water use. We further show and extensively discuss site-specific trade-offs between increased bioenergy production, land-use and water-use. Our high-end estimate (39 EJ yr<sup>-1</sup>) relies on complete irrigation and land availability. When acknowledging site-specific trade-offs on water resources and nature conservation, a potential of 20 EJ yr<sup>-1</sup> is achievable without production in biodiversity hotspots or irrigation in water scarce areas. This is equal to 8-23% of median projected bioenergy demand in 2050 for 1.5°C scenarios across different Shared Socio-economic Pathways. The associated land and water requirements are equal to 3% of current global cropland extent and 8% of today’s global agricultural water use, respectively.</p>


Author(s):  
Kelly C. Smith

This chapter assesses the ethical justification for attempting to message extraterrestrial intelligence (METI). Most of the discussion within the space community concerning METI has been about the level of risk it poses. Addressing the empirical dimensions of METI risk is a useful exercise, to be sure, but it is often unappreciated that these details just do not resolve key questions. In particular, if one looks at METI through an ethical lens, the central question is not what the level of risk is but whether those who are exposed to that risk agree to it. Rather than simply allowing anyone with access to the necessary resources do whatever they wish, people need to involve public policy, social science, humanities, and other fields of expertise to develop explicit best practices and then work to enshrine these in soft law.


Antibiotics ◽  
2020 ◽  
Vol 9 (6) ◽  
pp. 291
Author(s):  
Elina Laanto ◽  
Kati Mäkelä ◽  
Ville Hoikkala ◽  
Janne J. Ravantti ◽  
Lotta-Riina Sundberg

Phage therapy is becoming a widely recognized alternative for fighting pathogenic bacteria due to increasing antibiotic resistance problems. However, one of the common concerns related to the use of phages is the evolution of bacterial resistance against the phages, putatively disabling the treatment. Experimental adaptation of the phage (phage training) to infect a resistant host has been used to combat this problem. Yet, there is very little information on the trade-offs of phage infectivity and host range. Here we co-cultured a myophage FCV-1 with its host, the fish pathogen Flavobacterium columnare, in lake water and monitored the interaction for a one-month period. Phage resistance was detected within one day of co-culture in the majority of the bacterial isolates (16 out of the 18 co-evolved clones). The primary phage resistance mechanism suggests defense via surface modifications, as the phage numbers rose in the first two days of the experiment and remained stable thereafter. However, one bacterial isolate had acquired a spacer in its CRISPR (Clustered Regularly Interspaced Short Palindromic Repeat)-Cas locus, indicating that also CRISPR-Cas defense was employed in the phage-host interactions. After a week of co-culture, a phage isolate was obtained that was able to infect 18 out of the 32 otherwise resistant clones isolated during the experiment. Phage genome sequencing revealed several mutations in two open reading frames (ORFs) likely to be involved in the regained infectivity of the evolved phage. Their location in the genome suggests that they encode tail genes. Characterization of this evolved phage, however, showed a direct cost for the ability to infect several otherwise resistant clones—adsorption was significantly lower than in the ancestral phage. This work describes a method for adapting the phage to overcome phage resistance in a fish pathogenic system.


2014 ◽  
Vol 31 (4) ◽  
pp. 331-338 ◽  
Author(s):  
Patricia White ◽  
R. Saylor Breckenridge

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