ReconfigBehSci [@SciBeh] (2020) SciBeh is organising a workshop on "Building an online information environment for policy relevant science" Mark the date, Nov. 9/10, 2020, join us, contact us with thoughts and suggestions, and RT!. Twitter. Retrieved from: https://twitter.com/i/web/status/1309436825753260032

Karwowski, M., Zielinska, A., Jankowska, D., Strutynska, E., Omelanczuk, I., & Lebuda, I. (2020). Creative Lockdown? A Daily Diary Study of Creative Activity During Pandemics. 10.31234/osf.io/kvesm

Granderath, J. S., Sondermann, C., Martin, A., & Merkt, M. (2020). The Effect of Information Behavior in Media on Perceived and Actual Knowledge about the COVID-19 Pandemic. https://doi.org/10.31234/osf.io/3y874

Yang, Scott Cheng-Hsin, Chirag Rank, Jake Alden Whritner, Olfa Nasraoui, and Patrick Shafto. ‘Unifying Recommendation and Active Learning for Information Filtering and Recommender Systems’. Preprint. PsyArXiv, 25 August 2020. https://doi.org/10.31234/osf.io/jqa83.

Hoogeveen, S., Sarafoglou, A., & Wagenmakers, E.-J. (2020). Laypeople Can Predict Which Social-Science Studies Will Be Replicated Successfully: Advances in Methods and Practices in Psychological Science. https://doi.org/10.1177/2515245920919667

Jr, C., & De, K. R. (2020). Trying to make sense out of chaos: Science, politics and the COVID-19 pandemic. Cadernos de Saúde Pública, 36, e00088120. https://doi.org/10.1590/0102-311x00088120

Gratton, C., Gagnon-St-Pierre, É., & Markovits, H. (2020). When forewarned is not forearmed: The paradoxical effect of single warnings attached to repeated fake news [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/h5cxp

Vlasceanu, M., & Coman, A. (2020). Information Sources Differentially Trigger Coronavirus-Related Belief Change [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/5xkst

https://twitter.com/BrentWRoberts/status/1297617960916471813

Velásquez-Rojas, F., Ventura, P. C., Connaughton, C., Moreno, Y., Rodrigues, F. A., & Vazquez, F. (2020). Disease and information spreading at different speeds in multiplex networks. Physical Review E, 102(2), 022312. https://doi.org/10.1103/PhysRevE.102.022312

Khanam, K. Z., Srivastava, G., & Mago, V. (2020). The Homophily Principle in Social Network Analysis. ArXiv:2008.10383 [Physics]. http://arxiv.org/abs/2008.10383

Paris, Marseille named as high-risk COVID zones, making curbs likelier. (2020, August 14). Reuters. https://uk.reuters.com/article/uk-health-coronavirus-france-idUKKCN25A0LC

Kiefer, P. (2020, May 4). Why Scientists Think The Novel Coronavirus Developed Naturally—Not In A Chinese Lab. FiveThirtyEight. https://fivethirtyeight.com/features/why-scientists-think-the-novel-coronavirus-developed-naturally-not-in-a-chinese-lab/

SciBeh’s Hypothes.is Tool. (n.d.). Vimeo. Retrieved July 15, 2020, from https://vimeo.com/436845680

Yeolekar, M. (2020, April 30). The Digital Migration: Lessons About Open Science Arising from the COVID19 Crisis. The Official PLOS Blog. https://theplosblog.plos.org/2020/04/the-digital-migration-lessons-about-open-science-arising-from-the-covid19-crisis/

Guerrero, R. J. A., Parra, A. B., Cahua, J. C. H., & Banaszak-Holl, J. (2020). Psychological problems associated with coping strategies: A web-based study in Peruvian population during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/uarwz

OSF Coronavirus Outbreak Research Collection

Coronavirus Disease (COVID-19): Psychological, Behavioral, Interpersonal Effects, and Clinical Implications for Health Systems | Frontiers Research Topic. (n.d.). Retrieved June 11, 2020, from https://www.frontiersin.org/research-topics/13561/coronavirus-disease-covid-19-psychological-behavioral-interpersonal-effects-and-clinical-implication

World Pandemic Research Network

Pescetelli, N., Cebrian, M., & Rahwan, I. (2020, February 10). Real-time Internet Control of Situated Human Agents. https://doi.org/10.31234/osf.io/xn7sr

Overview—British Journal of Health Psychology. (n.d.). Wiley Online Library. https://doi.org/10.1111/(ISSN)2044-8287

British Journal of Social Psychology. (n.d.). Wiley Online Library. https://doi.org/10.1111/(ISSN)2044-8309

Glasziou, P. P., Sanders, S., & Hoffmann, T. (2020). Waste in covid-19 research. BMJ 2020;369. doi: https://doi.org/10.1136/bmj.m1847

International Science Council

Cohen, P. N. (2020, June 8). Talk: How we know: COVID-19, preprints, and the information ecosystem. SocOpen: Home of SocArXiv. https://socopen.org/2020/06/08/talk-how-we-know-covid-19-preprints-and-the-information-ecosystem/

Jazayeri, A., & Yang, C. C. (2020). Motif Discovery Algorithms in Static and Temporal Networks: A Survey. ArXiv:2005.09721 [Physics]. http://arxiv.org/abs/2005.09721

Battiston, P., Kashyap, R., & Rotondi, V. (2020, May 11). Trust in science and experts during the COVID-19 outbreak in Italy. https://doi.org/10.31235/osf.io/5tch8

Ikeda, K., Yamada, Y., & Takahashi, K. (2020). Post-Publication Peer Review for Real [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/sp3j5

Herzog, S. (2020, May 21). Boosting COVID-19 related behavioral science by feeding and consulting an eclectic knowledge base. Psychonomic Society Featured Content. https://featuredcontent.psychonomic.org/boosting-covid-19-related-behavioral-science-by-feeding-and-consulting-an-eclectic-knowledge-base/

Hope, T., Borchardt, J., Portenoy, J., Vasan, K., & West, J. (2020, May 6). Exploring the COVID-19 network of scientific research with SciSight. Medium. https://medium.com/ai2-blog/exploring-the-covid-19-network-of-scientific-research-with-scisight-f75373320a8c

Jach, H., & Smillie, L. (2020, May 5). Testing the Information-Seeking Theory of Openness/Intellect. https://doi.org/10.31234/osf.io/zqcjw

Psychonomic Society (2020 April 29). Keep Your Social Distance Up (Tips from behavioral scientists to help slow the spread of COVID-19). https://www.youtube.com/watch?v=ZVL66099O0s

Wang, T., Chen, X., Zhang, Q., & Jin, X. (2020, April 26). Use of Internet data to track Chinese behavior and interest in COVID-19. https://doi.org/10.31234/osf.io/j6m8q

Dorison, C., Lerner, J. S., Heller, B. H., Rothman, A., Kawachi, I. I., Wang, K., … Coles, N. A. (2020, April 16). A global test of message framing on behavioural intentions, policy support, information seeking, and experienced anxiety during the COVID-19 pandemic. https://doi.org/10.31234/osf.io/sevkf

Ammerman, B. A., Burke, T. A., Jacobucci, R., & McClure, K. (2020, April 6). Preliminary Investigation of the Association Between COVID-19 and Suicidal Thoughts and Behaviors in the U.S. https://doi.org/10.31234/osf.io/68djp

Resource List for pandemic and COVID-19 related topics.

Sailer, M., Stadler, M., Botes, E., Fischer, F., & Greiff, S. (2020, April 9). Science knowledge and trust in medicine affect individuals’ behavior in pandemic crises. https://doi.org/10.31234/osf.io/tmu8f

Visual communication has scientifically proven grounds; it is not just some obscur magic from an artistic genius

This link is for the Association of Information Science and Technology. While many of the resources are available only to those who are association members, there are a great many resources to be found via this site. Among the items available are their newsletter and their journal articles. As the title suggests, there is a technology focus, and also a focus on scientific findings that can guide instructional designers in the presentation and display of visual and textual information, often but not exclusively online. Instructional designers are specifically addressed via the content of this site. A student membership is available. Rating 5/5

Sounds a lot like the way reference managers work. In many cases, people keep the invalid or badly-formed results.

C’était long, en 2002! Où en est la BnF, aujourd’hui? D’une certaine façon, ce résumé semble prédire la venue des données, la fédération des catalogues, etc. Pourtant, il semble demeurer de nombreux obstacles, malgré tout ce temps. Et si on pouvait annoter le Web directement?