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The production of democratic knowledge in higher education. The socio-artistic method in in social science.
No full textThe participation of students in university classes is essential for the democratisation of higher education. Cognitive production plays a decisive role when a variety of knowledge stems from an idea of society that respects diversity. On the other hand, the threat posed by cognitive capital in university implies the amnesia of an education committed to reproducing systems of dominance. This explains the importance of finding alternatives which allow for inclusive methods. Creativity generated by artistic practices is a possible alternative. The aim of this study is to unveil the potential of creative corporeality in the production of democratic knowledge. To this end, a case study carried out during post-graduate classes provides the basis for this study, specifically, a module of the Master’s in Social Intervention, Diversity and Culture from the Pablo de Olavide University (Seville, Spain). The socio-artistic method is mentioned therein as a medium of cognitive production based on the participants’ creativity and experiences. In this method, techniques different from those of a sedentary, monolithic pedagogy come together. Indeed, these are techniques used by various practitioners in which experiences and plural knowledge meet. Depending on the focuses of thematic interests, students were able to reach a level of understanding based on the aesthetics of corporeality. This aesthetic complements the theoretical logic, furthering the uncertainties of our time. This resulted in the practice of a cognitive process which presupposes diverse knowledge in the construction of inclusive educational spaces
Persistent Enhancement of Exciton Diffusivity in CsPbBr3 Nanocrystal Solids
No full textContains all data within figures published in "Persistent Enhancement of Exciton Diffusivity in CsPbBr3 Nanocrystal Solids
Growth Projections and Complexity Rankings
No full text
Each year, researchers at Harvard's Growth Lab release growth forecasts for the upcoming decade as well as annual rankings of countries by economic complexity. The Economic Complexity Index (ECI) ranking is a measure of the amount of capabilities and knowhow of a given country determined by the diversity, ubiquity, and complexity of the products it exports.
Growth projections are calculated through a process largely based on determining whether a country's economic complexity is higher or lower than expected given its level of income. We expect countries whose economic complexity is greater than we would expect for its level of income to grow faster than those that are "too rich" for their current level of complexity. In this data, a country's growth projection value for a given year is for the decade beginning with that year. For example, a value in a 2017 row is the projection of annualized growth for 2017–2027.
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14 Pictogram Collections Emergency: Notice_active_emergencies
No full text14 Pictogram Collections Emergency: Notice_active_emergencie
Reporting After Removal: The Effects of Journalist Expulsion on Foreign News Coverage
No full textReplication data for "Reporting After Removal: The Effects of Journalist Expulsion on Foreign News Coverage". What happens to international media reporting when governments expel foreign journalists? Countries around the world expel foreign reporters, yet there is no consensus about the effects of such expulsions. We argue there are three possible outcomes of expulsion: a chilling effect, resilience, and backlash. Using China as a case study, we evaluate these competing theories by collecting a novel dataset of foreign news stories about China and applying time-series causal inference methods to measure the effects of expulsion on information origination, composition, and reach after March 2020, when the Chinese government expelled a large number of foreign correspondents. Results shows that expelled media organizations did not experience a chilling effect or backlash on reporting and may have changed their production processes to account for expulsion. These findings suggest that news organizations can remain resilient to the impact of extraordinary events which target the organization and disrupt internal production processes
From Russia with War: Transcripts of Interviews with Foreign Fighters fighting in Ukraine - Other Interviews
No full text'From Russia with War' is a collaborative research project that draws on years of pilot studies on violent mobilisation of non-state armed groups by research team members from the University of Glasgow, University of Ottawa, and Charles University Prague. This interdisciplinary research project combines the research team members’ joint experience of conducting high-risk ethnographic fieldwork amongst former and active members of armed groups in order to provide an in-depth explanation as to why individuals mobilise to become foreign fighters in the context of the former Soviet Union.
Whereas the previous dataset published focused on Belarusians, this set of interviews covers other nationalities represented in our interview
Vietnamese Satirical Cartoons on Textbook Development 2018 - TTC
No full textThe study focuses on cartoons published on Tuoi Tre Cuoi Online about textbook development 2018. They are analyzed by a set of criterium in the dataset. The obtained data set and encrypted data set are saved as Excel files, and then processed with SPSS software, the resulting files are saved in two formats: .excel and .sp
Replication Data for: MEA-NAP compares microscale functional connectivity, topology, and network dynamics in organoid or monolayer neuronal cultures
No full textThis collection includes MATLAB-based code, microelectrode array (MEA) data, and other resources to assist users with our computational tool, the MEA network analysis pipeline (MEA-NAP).
** Dataverse contents: **
1. MEA-NAP.zip - The MATLAB-based code for MEA-NAP version 1.6.0 that was used for the analysis in Sit et al. (2024) Cell Reports Methods. MEA-NAP version 1.10.0 is also included, which was the latest version at the time of publication of Sit et al. (2024). For the most up-to-date version, please see https://github.com/SAND-Lab/MEA-NAP/
2. MEA-NAP GUI Tutorial.mp4 - This tutorial related to MEA-NAP versions 1.6 and 1.7. A detailed video guide to using MEA-NAP for new users. Please see our Github for links to video updates on MEA-NAP on our Synaptic and Network Development (SAND) YouTube channel.
3. NGN2_20230208_Data - MEA recordings from NGN2 neuronal cultures and batch analysis file. This data relates to Figure 3 in Sit et al. (2024). These are example inputs to MEA-NAP.
4. NGN2_20230208_OutputData - The full output folder including Steps 1-5 is zipped to preserve the folder organization. Outputs from Steps 1 and 2 are available for download as individual files.
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CGIAR Web-of-science publications dataset
No full textThis dataset contains all publications reported in Web of Science that belong to the CGIAR Metodology:Secondary dataset downloaded based on key CGIAR institutions from Clarivate Web of Science platfor