More Like this

1. Building a collective memory: the case for collective forgetting

   https://doi.org/10.1016/j.copsyc.2018.02.002  

   Hirst, William ; Coman, Alin ( October 2018 , Current Opinion in Psychology)
2. Beyond collective intelligence: Collective adaptation

   https://doi.org/10.1098/rsif.2022.0736  

   Galesic, Mirta ; Barkoczi, Daniel ; Berdahl, Andrew M. ; Biro, Dora ; Carbone, Giuseppe ; Giannoccaro, Ilaria ; Goldstone, Robert L. ; Gonzalez, Cleotilde ; Kandler, Anne ; Kao, Albert B. ; et al ( March 2023 , Journal of The Royal Society Interface)

   We develop a conceptual framework for studying collective adaptation in complex socio-cognitive systems, driven by dynamic interactions of social integration strategies, social environments and problem structures. Going beyond searching for ‘intelligent’ collectives, we integrate research from different disciplines and outline modelling approaches that can be used to begin answering questions such as why collectives sometimes fail to reach seemingly obvious solutions, how they change their strategies and network structures in response to different problems and how we can anticipate and perhaps change future harmful societal trajectories. We discuss the importance of considering path dependence, lack of optimization and collective myopia to understand the sometimes counterintuitive outcomes of collective adaptation. We call for a transdisciplinary, quantitative and societally useful social science that can help us to understand our rapidly changing and ever more complex societies, avoid collective disasters and reach the full potential of our ability to organize in adaptive collectives. 

   more » « less
3. Molecular enhanced sampling with autoencoders: On-the-fly collective variable discovery and accelerated free energy landscape exploration: Molecular Enhanced Sampling with Autoencoders: On-The-Fly Collective Variable Discovery and Accelerated Free Energy Landscape Exploration

   https://doi.org/10.1002/jcc.25520  

   Chen, Wei ; Ferguson, Andrew L. ( October 2018 , Journal of Computational Chemistry)
4. Introducing the Collective Action Recursive Empowerment ( CARE ) Model: How Small‐Scale Protests Led to Large‐Scale Collective Action in Armenia's Velvet Revolution

   https://doi.org/10.1111/pops.12858  

   Burrows, Brooke ; Uluğ, Özden Melis ; Khudoyan, Knar ; Leidner, Bernhard ( September 2022 , Political Psychology)

   The current study examined the motivations and outcomes of the Armenian Velvet Revolution through the voice of 18 protesters with qualitative interviews, exploring their motivations for joining the collective action, their perceptions of its implementation, and resultant psychological changes. Participants distinguished between individual‐ and group‐level processes and bypassed social divisions through a shared belief in the value of “Rejecting Serzh” (i.e., opposing then President Serzh Sargsyan). Results also illustrated a recursive process of collective action supporting the development of a new theoretical CARE (collective action recursive empowerment) model. The model understands successful social change as a function of both individual and group identity informing collective‐action processes: Smaller acts of protest increase individual feelings of shared group identity and empowerment/efficacy beliefs, thus strengthening motivations for continued protest and making large‐scale collective action achievable. By linking together multiple time points of a collective‐action process in one recursive model, the current work maps out one specific case of successful collective action in recent history, which serves as a basis for broader theoretical generalization and future empirical research.

    

   more » « less
5. Collective Argumentation: Integration of Coding into Mathematics and Science Learning

   https://doi.org/10.18260/1-2--32375  

   Foutz, Tim ; Hill, Roger ; Crawford, Barbara ; Thompson, Sidney ; Conner, AnnaMarie ; Kim, ChanMin ; Jackson, David ( June 2019 , In proceedings of the 2019 ASEE Annual Conference & Exposition.)

   This project, titled Collective Argumentation Learning and Coding (CALC), is based on our belief that if teachers had an instructional approach that allowed them to teach coding alongside mathematics and science in integrated ways, then coding would become a mainstream subject taught in the elementary school curriculum. However, few practicing elementary school teachers have the academic backgrounds that allow them to teach coding in a manner that goes beyond allowing students to learn how to code through trial-and-error experimentation and as an additive learning activity such as an after-school program. Current content and practice standards call for the use of argumentation in the teaching of mathematics and science. This project is focused on extending the collective argumentation framework for the teaching of mathematics to the teaching of coding. Teachers at our partnering school district have completed the first design of a prototype CALC course where they used collective argumentation to learn how to code educational robotics. At the end of this course, the teachers developed lesson plans that were implemented in grades 3, 4 and 5.This paper and conference presentation focused on the research question, how do elementary school teachers use the CALC approach to support their students’ learning of coding, mathematics, and science content and practices? Overall, the implementation of the CALC approach demonstrated the growth of the teachers in their ability to teach coding as a reasoning process and as a means to integrate it into everyday classroom activities. 

   more » « less