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1. Complexities in Alaskan Housing: Critical reflections on social forces shaping cold climate building projects

   Nicewonger, Todd; Fritz, Stacey; McNair, Lisa (January 2022, Proceedings of the American Society of Engineering Education 2022 Annual Conference & Exposition)

   This paper draws on ethnographic fieldwork conducted with Alaskan engineers, builders, and housing experts on cold climate housing design in Native Alaskan communities and explores multiple levels of challenges to designing and building in remote areas. It examines how the history of land ownership and governance in Alaska shapes the imaginaries of engineers and builders working to address housing equity in the state. Specifically, we study cold climate housing projects being carried out in Alaska and compare the design of these projects to wider colonial legacies and failed housing policies. This includes examining both considerations that need to be made at the start of design and engineering projects, as well as how complexity figures into the culture of cold climate engineers and builders in Alaska. Theoretically, this paper draws on Annemarie Mol and John Law’s conceptualization of complexity as a social practice (2002), in which they argue against reductionism by calling attention to the “multiplicity” of ways in which actions and knowledge come into being. In drawing on this work, we seek to engage with multiple histories and worldviews, including dominant notions of “home” that contribute to reproducing housing insecurity and colonial legacies in rural communities (Christensen 2017). Building on this theoretical framework, we thread together a critical description of the social terrain in which engineering and building projects in remote Alaska Native communities are situated. Such situated understandings necessitate engineers and builders working on these projects to think locally while recognizing the broader contributions of home designs developed thousands of miles from the Arctic. The implications of this complexity, we argue, are important for engineering educators and students to incorporate in their approaches to design and engineering learning opportunities across multiple contexts, including engineering programs, construction, architecture, industrial design, environmental and sustainability science, and the social sciences. To address complex challenges in which these disciplines must all take part, engineers and others who make up these teams of diverse expertise must navigate layers of complexity and understand and value how social forces shape building projects. Cold climate contexts like the ones we describe here provide examples that can engage educators, learners, and practitioners. 

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2. A review of traditional ecological knowledge in resilient livelihoods and forest ecosystems: lessons for restoration sciences and practices

   https://doi.org/10.1080/14728028.2024.2408725  

   Tran, Thi_Mai Anh; Gagnon, Valoree S; Schelly, Chelsea (January 2025, Forests, Trees and Livelihoods)

   In recent years, Traditional Ecological Knowledge (TEK) has gained prominence in ecosystem science and governance, enhancing understanding of landscape conditions, systems dynamics, and ethical restoration practices. However, Indigenous community engagement in science and practice remains limited. In this paper, we investigate TEK’s contribution to forest ecosystem research for resilient livelihoods, methods for bridging TEK with Western science, and share insights from Ojibwa perspectives on ecological restoration and wellbeing. A systematic review of TEK literature from 2001 to 2022 was conducted using Web of Science, with bibliometric analysis and narrative review using VOSviewer and Biblioshiny. Our findings suggest that while TEK is prevalent in social-ecological resilience and climate change mitigation research, forest ecosystem restoration receives less attention. Most literature considers Indigenous peoples as research participants rather than collaborative research partners. Differences in ontologies and sociological barriers between Indigenous peoples and government agencies may hinder TEK’s inclusion in restoration practices. Reflecting on the wild rice restoration efforts of Ojibwa in the Keweenaw Bay Indian Community, we discuss timescale dimensions of research partnerships and restoration projects with Indigenous communities. Guided by Indigenous knowledge systems, we conclude that restoration activities have the potential to strengthen humanecosystem livelihoods in our shared landscapes and futures. 

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3. Recommending With, Not For: Co-Designing Recommender Systems for Social Good

   https://doi.org/10.1145/3759261  

   Ekstrand, Michael D; Razi, Afsaneh; Sarcevic, Aleksandra; Pera, Maria Soledad; Burke, Robin; Wright, Katherine Landau (August 2025, ACM Transactions on Recommender Systems)

   Recommender systems are usually designed by engineers, researchers, designers, and other members of development teams. These systems are then evaluated based on goals set by the aforementioned teams and other business units of the platforms operating the recommender systems. This design approach emphasizes the designers’ vision for how the system can best serve the interests of users, providers, businesses, and other stakeholders. Although designers may be well-informed about user needs through user experience and market research, they are still the arbiters of the system’s design and evaluation, with other stakeholders’ interests less emphasized in user-centered design and evaluation. When extended to recommender systems for social good, this approach results in systems that reflect the social objectives as envisioned by the designers and evaluated as the designers understand them. Instead, social goals and operationalizations should be developed through participatory and democratic processes that are accountable to their stakeholders. We argue that recommender systems aimed at improving social good should be designedbyandwith, not justfor, the people who will experience their benefits and harms. That is, they should be designed in collaboration with their users, creators, and other stakeholders as full co-designers, not only as user study participants. 

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4. Age, experience, social goals, and engagement with research scientists may promote innovation in ecological restoration

   https://doi.org/10.1371/journal.pone.0274153  

   Mohr, Jakki J.; Cummins, Tina M.; Floyd, Theresa M.; Metcalf, Elizabeth Covelli; Callaway, Ragan M.; Nelson, Cara R. (April 2023, PLOS ONE)

   Whitaker, Mark Douglas (Ed.)

   Innovation in ecological restoration is necessary to achieve the ambitious targets established in United Nations conventions and other global restoration initiatives. Innovation is also crucial for navigating uncertainties in repairing and restoring ecosystems, and thus practitioners often develop innovations at project design and implementation stages. However, innovation in ecological restoration can be hindered by many factors (e.g., time and budget constraints, and project complexity). Theory and research on innovation has been formally applied in many fields, yet explicit study of innovation in ecological restoration remains nascent. To assess the use of innovation in restoration projects, including its drivers and inhibitors, we conducted a social survey of restoration practitioners in the United States. Specifically, we assessed relationships between project-based innovation and traits of the individual practitioner (including, for example, age, gender, experience); company (including, for example, company size and company’s inclusion of social goals); project (including, for example, complexity and uncertainty); and project outcomes (such as completing the project on time/on budget and personal satisfaction with the work). We found positive relationships between project-based innovation and practitioner traits (age, gender, experience, engagement with research scientists), one company trait (company’s inclusion of social goals in their portfolio), and project traits (project complexity and length). In contrast, two practitioner traits, risk aversion and the use of industry-specific information, were negatively related to project-based innovation. Satisfaction with project outcomes was positively correlated with project-based innovation. Collectively, the results provide insights into the drivers and inhibitors of innovation in restoration and suggest opportunities for research and application. 

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5. Modeling food-related business closure in select New York City communities using multi-scale and spatial features

   https://doi.org/10.1177/23998083241254573  

   Wang, Shu; Laefer, Debra_F (June 2024, Environment and Planning B: Urban Analytics and City Science)

   This paper introduces an extensible framework to predict small-business closures to inform urban planners, lenders, and business owners as to factors to improve business resilience. This paper couples machine learning with two point of interest (POI) datasets and infrastructure data and uses New York State’s COVID-19 PAUSE as a stressor for investigating small-business resiliency. The study included 2537 food-related, non-chain, retail businesses across select New York City zip codes, of which 17.7% closed permanently. Macro-, meso-, and micro-levels of features included the neighborhood profile, street dynamics, and venue-specific, location-related characteristics. A Gaussian Mixture Neural Network model achieved 74.1% precision, 92.5% recall, and an 82.3% F1-score without use of financial data. High-end restaurants located further than average from public transit were most at risk for closure, while non-restaurant, food businesses in commercially diverse areas having higher-than-average social media ratings were least at risk. This paper introduces a model for timely prediction of pandemic-induced, food-related, small-business closures without reliance on private or protected financial data, and provides insights into urban design to promote small, food business survivability. 

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