Therefore, similar to Ribes et al. in their study of domain [113], the epistemic positions we propose aim to provide conceptual tools for reasoning about different styles of organizing creativity-oriented research practices in HCI.
David Ribes' work explores the definition of domain in computing and data science; offers insight into how studying domains helps organize computational systems.
The Computational Democracy Project
We bring data science to deliberative democracy, so that governance may better reflect the multidimensionality of the public's will.
there are certain areas within CSS that are reluctant to adopt rigorous scientific practices from other fields, which can be observed through an overreliance on passively collected data (e.g., through digital traces, wearables) without questioning the validity of such data.
as Computational Social Science (CSS) grows up, it must strike a balance between its own practices and those of neighboring disciplines to achieve scientific rigor and refine its identity.
computational social science as an interdisciplinary scientific field in which contributions develop and test theories or provide systematic descriptions of human, organizational, and institutional behavior through the use of computational methods and practices.
Zhao, W. J., Coady, A., & Bhatia, S. (2021). Computational mechanisms for context-based behavioral interventions: A large-scale analysis. PsyArXiv. https://doi.org/10.31234/osf.io/8cyad
Atari, M., Reimer, N. K., Graham, J., Hoover, J., Kennedy, B., Davani, A. M., Karimi-Malekabadi, F., Birjandi, S., & Dehghani, M. (2021). Pathogens Are Linked to Human Moral Systems Across Time and Space. PsyArXiv. https://doi.org/10.31234/osf.io/tnyh9
This course is an introduction to computational theories of human cognition. Drawing on formal models from classic and contemporary artificial intelligence, we will explore fundamental issues in human knowledge representation, inductive learning and reasoning. What are the forms that our knowledge of the world takes?
When?
Palminteri, S. (2021). Choice-confirmation bias and gradual perseveration in human reinforcement learning [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/dpqj6
Burton, J. W., Cruz, N., & Hahn, U. (2021). Reconsidering evidence of moral contagion in online social networks. Nature Human Behaviour. https://doi.org/10.1038/s41562-021-01133-5
Knowles, R., Mateen, B. A., & Yehudi, Y. (2021). We need to talk about the lack of investment in digital research infrastructure. Nature Computational Science, 1(3), 169–171. https://doi.org/10.1038/s43588-021-00048-5
Nsoesie, E. O., Oladeji, O., Abah, A. S. A., & Ndeffo-Mbah, M. L. (2021). Forecasting influenza-like illness trends in Cameroon using Google Search Data. Scientific Reports, 11(1), 6713. https://doi.org/10.1038/s41598-021-85987-9
Edelmann, A., Wolff, T., Montagne, D., & Bail, C. A. (2020). Computational Social Science and Sociology. Annual Review of Sociology, 46(1), annurev-soc-121919-054621. https://doi.org/10.1146/annurev-soc-121919-054621
A Global Database of Society
interesting
Do you have questions about how best to moderate your online community? CivilServant, software created at the MIT Center for Civic Media, helps online communities do your own A/B tests of moderation practices.
This is an interesting SaaS system for exploring how to create good moderation systems.