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1. Theoretical and Empirical Modeling of Identity and Sentiments in Collaborative Groups

   Jesse Hoey, Meiyappan Nagappan ( January 2021 , SocArXiv)

   Theoretical and Empirical Modeling of Identity and Sentiments in Collaborative Groups (THEMIS.COG) was an interdisciplinary research collaboration of computer scientists and social scientists from the University of Waterloo (Canada), Potsdam University of Applied Sciences (Germany), and Dartmouth College (USA). This white paper summarizes the results of our research at the end of the grant term. Funded by the Trans-Atlantic Platform’s Digging Into Data initiative, the project aimed at theoretical and empirical modeling of identity and sentiments in collaborative groups. Understanding the social forces behind self-organized collaboration is important because technological and social innovations are increasingly generated through informal, distributed processes of collaboration, rather than in formal organizational hierarchies or through market forces. Our work used a data-driven approach to explore the social psychological mechanisms that motivate such collaborations and determine their success or failure. We focused on the example of GitHub, the world’s current largest digital platform for open, collaborative software development. In contrast to most, purely inductive contemporary approaches leveraging computational techniques for social science, THEMIS.COG followed a deductive, theory-driven approach. We capitalized on affect control theory, a mathematically formalized theory of symbolic interaction originated by sociologist David R. Heise and further advanced in previous work by some ofmore »the THEMIS.COG collaborators, among others. Affect control theory states that people control their social behaviours by intuitively attempting to verify culturally shared feelings about identities, social roles, and behaviour settings. From this principle, implemented in computational simulation models, precise predictions about group dynamics can be derived. It was the goal of THEMIS.COG to adapt and apply this approach to study the GitHub collaboration ecosystem through a symbolic interactionist lens. The project contributed substantially to the novel endeavor of theory development in social science based on large amounts of naturally occurring digital data.« less
2. Barriers and supports needed to improve ET career development: A two-year view of D.E.E.P. engineering technology career formation progress and impacts

   https://doi.org/10.18260/1-2--36738  

   Frady, K. ; Hughes, C. ; High, K. ( July 2021 , Annual American Society for Engineering Education Conference)

   The purpose of the Research in the Formation of Engineers National Science Foundation funded project, Developing Engineering Experiences and Pathways in Engineering Technology Career Formation (D.E.E.P. Engineering Technology Career Formation), is to develop a greater understanding of the professional identity, institutional culture, and formation of engineer technicians and technologists (ET) who are prepared at two-year colleges. ET professionals are important hands-on members of engineering teams who have specialized knowledge of components and engineering systems. Little research on career development and the role of ET in the workforce has previously been conducted prompting national organizations such as NSF and the National Academy of Sciences to prompt more research in this area [1]. The primary objectives of this project are to: (a) identify dimensions of career orientations and anchors at various stages of professional preparation and map to ET career pathways, (b) develop an empirical framework, incorporating individual career anchors and effect of institutional culture, for understanding ET professional formation, and (c) develop and pilot interventions aimed at transforming engineering formation systems in ET contexts. The three interdisciplinary theoretical frameworks integrated to guide design and analysis of this research study are social cognitive career theory (SCCT) [2], Schein’s career anchors which focusesmore »on individual career orientation [3], and the Hughes value framework focused on the organization [4]. SCCT which links self-efficacy beliefs, outcome expectations, and personal goals to educational and career decisions and outcomes ties the individual career anchors to the institutional context of the Hughes framework [2]. To date, the project has collected and analyzed quantitative data from over 330 participants who are two-year college ET students, two-year college transfer students, and early career ET professionals. Qualitative data from historical institutional documents has also been collected and analyzed. Initial analyses have revealed gaps and needed areas of support for ET students in the area of professional formation. Thus far, the identified gaps are in institutional policy (i.e. lack of articulation agreements), needed faculty professional development (i.e. two-year faculty on specific career development and professional ET formation needs and four-year faculty on unique needs of transfer students), missing curriculum and resources supporting career development and professional formation of ET students, and integration of transfer student services focusing on connecting faculty and advisors across both institutional levels and types of programs. Significant gaps in the research promoting understanding of the role of ET and unique professional formation needs of these students were also confirmed. This project has been successful at helping to broaden participation in ET engineering education through integrating new participants into activities (new four-year institutional stakeholders, new industry partners, new faculty and staff directly and indirectly working with ET students) and through promoting disciplinary (engineering education and ET) and cross disciplinary collaborations (human resource development, higher education leadership, and student affairs). With one year remaining before completion of this project, this project has promoted a better understanding of student and faculty barriers supporting career development for ET students and identified need for career development resources and curriculum in ET. Words: 498 References [1] National Academy of Engineering. (2016). Engineering technology education in the United States. Washington, DC: The National Academies Press. [2] Lent, R.W., & Brown, S.B. (1996). Social cognitive approach to career development: An overivew. Career Development Quarterly, 44, 310-321. [3] Schein, E. (1996). Career anchors revisited: Implications for career development in the 21st century. Academy of Management Executive, 10(4), 80-88. [4] Hughes, C. (2014, Spring). Conceptualizing the five values of people and technology development: Implications for human resource managmeent and development. Workforce Education Forum, 37(1), 23-44.« less
3. Systematic shifts in scaling behavior based on organizational strategy in universities

   https://doi.org/10.1371/journal.pone.0254582  

   Taylor, Ryan C. ; Liang, Xiaofan ; Laubichler, Manfred D. ; West, Geoffrey B. ; Kempes, Christopher P. ; Dumas, Marion ( October 2021 , PLOS ONE)

   Amaral, Luís A. (Ed.)

   To build better theories of cities, companies, and other social institutions such as universities, requires that we understand the tradeoffs and complementarities that exist between their core functions, and that we understand bounds to their growth. Scaling theory has been a powerful tool for addressing such questions in diverse physical, biological and urban systems, revealing systematic quantitative regularities between size and function. Here we apply scaling theory to the social sciences, taking a synoptic view of an entire class of institutions. The United States higher education system serves as an ideal case study, since it includes over 5,800 institutions with shared broad objectives, but ranges in strategy from vocational training to the production of novel research, contains public, nonprofit and for-profit models, and spans sizes from 10 to roughly 100,000 enrolled students. We show that, like organisms, ecosystems and cities, universities and colleges scale in a surprisingly systematic fashion following simple power-law behavior. Comparing seven commonly accepted sectors of higher education organizations, we find distinct regimes of scaling between a school’s total enrollment and its expenditures, revenues, graduation rates and economic added value. Our results quantify how each sector leverages specific economies of scale to address distinct priorities. Taken together,more »the scaling of features within a sector along with the shifts in scaling across sectors implies that there are generic mechanisms and constraints shared by all sectors, which lead to tradeoffs between their different societal functions and roles. We highlight the strong complementarity between public and private research universities, and community and state colleges, that all display superlinear returns to scale. In contrast to the scaling of biological systems, our results highlight that much of the observed scaling behavior is modulated by the particular strategies of organizations rather than an immutable set of constraints.« less
4. Toward a Generalizable Framework of Disturbance Ecology Through Crowdsourced Science

   https://doi.org/10.3389/fevo.2021.588940  

   Graham, Emily B. ; Averill, Colin ; Bond-Lamberty, Ben ; Knelman, Joseph E. ; Krause, Stefan ; Peralta, Ariane L. ; Shade, Ashley ; Smith, A. Peyton ; Cheng, Susan J. ; Fanin, Nicolas ; et al ( March 2021 , Frontiers in Ecology and Evolution)

   Disturbances fundamentally alter ecosystem functions, yet predicting their impacts remains a key scientific challenge. While the study of disturbances is ubiquitous across many ecological disciplines, there is no agreed-upon, cross-disciplinary foundation for discussing or quantifying the complexity of disturbances, and no consistent terminology or methodologies exist. This inconsistency presents an increasingly urgent challenge due to accelerating global change and the threat of interacting disturbances that can destabilize ecosystem responses. By harvesting the expertise of an interdisciplinary cohort of contributors spanning 42 institutions across 15 countries, we identified an essential limitation in disturbance ecology: the word ‘disturbance’ is used interchangeably to refer to both the events that cause, and the consequences of, ecological change, despite fundamental distinctions between the two meanings. In response, we developed a generalizable framework of ecosystem disturbances, providing a well-defined lexicon for understanding disturbances across perspectives and scales. The framework results from ideas that resonate across multiple scientific disciplines and provides a baseline standard to compare disturbances across fields. This framework can be supplemented by discipline-specific variables to provide maximum benefit to both inter- and intra-disciplinary research. To support future syntheses and meta-analyses of disturbance research, we also encourage researchers to be explicit in how they definemore »disturbance drivers and impacts, and we recommend minimum reporting standards that are applicable regardless of scale. Finally, we discuss the primary factors we considered when developing a baseline framework and propose four future directions to advance our interdisciplinary understanding of disturbances and their social-ecological impacts: integrating across ecological scales, understanding disturbance interactions, establishing baselines and trajectories, and developing process-based models and ecological forecasting initiatives. Our experience through this process motivates us to encourage the wider scientific community to continue to explore new approaches for leveraging Open Science principles in generating creative and multidisciplinary ideas.« less
5. Toward a Social-Ecological Theory of Forest Macrosystems for Improved Ecosystem Management

   https://doi.org/doi:10.3390/f9040200  

   Kleindl, W ; Stoy, P ; Binford, M ; Desai, A ; Dietze, M ; Schultz, C ; Starr, G ; Staudhammer, C ; Wood, D. ( April 2018 , Forest)

   The implications of cumulative land-use decisions and shifting climate on forests, require us to integrate our understanding of ecosystems, markets, policy, and resource management into a social-ecological system. Humans play a central role in macrosystem dynamics, which complicates ecological theories that do not explicitly include human interactions. These dynamics also impact ecological services and related markets, which challenges economic theory. Here, we use two forest macroscale management initiatives to develop a theoretical understanding of how management interacts with ecological functions and services at these scales and how the multiple large-scale management goals work either in consort or conflict with other forest functions and services. We suggest that calling upon theories developed for organismal ecology, ecosystem ecology, and ecological economics adds to our understanding of social-ecological macrosystems. To initiate progress, we propose future research questions to add rigor to macrosystem-scale studies: (1) What are the ecosystem functions that operate at macroscales, their necessary structural components, and how do we observe them? (2) How do systems at one scale respond if altered at another scale? (3) How do we both effectively measure these components and interactions, and communicate that information in a meaningful manner for policy and management across different scales?