Purpose The purpose of this paper is to examine early career teachers’ Socialized Knowledge Communities (SKCs) as they relate to the pursuit of mathematics knowledge and teaching. The authors investigate Pinterest, a living data archive, as an opportunity to view teachers’ sense-making and construction of instructional resources. Through this lens, the authors examine how teachers form and share mathematical meaning individually and collectively through professional collaboration. Design/methodology/approach This work characterizes teachers’ curation of mathematical resources both in the kinds of mathematics teachers are choosing and the quality therein. Finally, the authors examine through epistemic network analysis how teachers are sense-making through a statistical approach to identifying their organization of mathematics curation by typology and cognitive process demand. Findings Results show that sampled teachers predominantly curate instructional resources that require students to perform standard algorithm and represent mathematics relationships in visualization within Pinterest. Additionally, the authors find the resources curated by teachers have lower cognitive demand. Finally, epistemic networks show teachers make connections among instructional resources with particular types as well as with different levels of cognitive demand as they sense-make their curated curriculum. In particular, difference in teachers’ internal consideration of the quality of tasks is associated with their years of experience. Originality/value Twenty-first century classrooms and teachers engage frequently in curation of instructional resources online. The work contributes to an emergent understanding of teachers’ professional engagement in virtual spaces by characterizing the instructional resources being accessed, shared, and diffused. Understanding the nature of the content permeating teachers’ SKCs is essential to increase teachers’ professional capital in the digital age.

As the climate in the midwestern United States becomes increasingly variable because of global climate change, it is critical to provide tools to the agricultural community to ensure adaptability and profitability of agricultural cropping systems. When used by farmers and their advisors, agricultural decision support tools can reduce uncertainty and risks in the planning, operation, and management decisions of the farm enterprise. Agricultural advisors have historically played a key role in providing information and guidance in these decisions. However, little is known about what these advisors know or think about weather and climate information and their willingness to incorporate this type of information into their advice to farmers. In this exploratory study, a diverse set of professionals who advise corn growers, including government, nonprofit, for-profit, and agricultural extension personnel, were surveyed in four states in the midwestern Corn Belt. Results from the survey indicate that advisors are more influenced by current weather conditions and 1-7-day forecasts than longer-term climate outlooks. Advisors predominantly consider historical weather trends and/ or forecasts in their advice to farmers on short-term operational decisions versus longer-term tactical and strategic decisions. The main conclusion from this analysis is that opportunities exist to further engage the advisor community on weather and climate issues and, through them, the farmers who are managing the land. Keywords

a b s t r a c tThis paper examines the role of crop advisors as brokers of climate information to support US corn farmers to adapt to climatic change. It uses quantitative data collected from a broad survey of crop advisors in the US Corn Belt to examine the factors that shape advisors' use of (and willingness to provide) climate information to their clients. Building upon a general model of climate information usability we argue that advisors' willingness to provide climate advice to farmers is influenced by three main factors: their information seeking habits and behavior, their experience with innovation in the past, and how climate information interplays with other kinds of information that they provide-especially agronomic advice. We find that advisors' willingness to provide climate related information depends both on factors at the individual and organizational level and on the type of advice they provide. First, at the individual and organizational levels, advisors who work in supportive organizations and who collaborate with other advisors are more likely to provide climate information. Second, advisors are more likely to provide climate information if it does not interfere with their main profit making business (e.g. provision of agronomic advice). Third, there is a significant positive relationship between trust in a greater number or sources of information and use of climate information. Fourth, the way advisors perceive short-and long-term risk also influences their willingness to provide climate information; the more concerned they are about long-term climate-related risks to farming, the more likely they are to provide (or want to provide) advice based on climate information. Differently from other empirical work in the literature, our analytical model suggests that neither negative experiences with climate information in the past nor the high level of uncertainty characteristic of climate information appear to influence advisors willingness to provide climate information in the future.

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This study explores how a scientist's location in science-based policy networks can affect her policyoriented behaviors. In particular, we hypothesize that those scientists who fill structural holes in their networks will be more likely than others to engage in policy-oriented behaviors. The network data are defined by scientists' coauthorship on policy documents regarding climate change in the Great Lakes. We employ a two-mode network analysis to identify clusters of scientists who coauthored similar documents, and relative to those clusters, we identify those who fill structural holes by bridging between clusters. We find that those scientists who bridged between clusters were more likely to engage in policy-oriented behaviors of policy advocacy and advising than were others in the network. This is an example of a link between network location and policy-oriented behavior indicative of the broader phenomenon of how individuals exert agency, given structural constraints.