387 Matching Annotations
  1. Mar 2021
    1. ReconfigBehSci. (2020, December 8). I’ve been pondering failed predictions today. A spectacular error of mine: In the early media rush to listen to scientists and doctors, I actually thought Western societies might be seeing the end of the “influencer” and a renewed interest in people who did stuff 1/2 [Tweet]. @SciBeh. https://twitter.com/SciBeh/status/1336383952232308736

    1. SocArXiv. (2020, May 30). You can always see the latest SocArXiv papers on COVID-19 topics here: Https://t.co/pzqftUqY81. You can comment using the @hypothes_is tool, and endorse using the @PlauditPub button. And add your own work, using the covid-19 tag. Https://t.co/owGxoaDfsJ [Tweet]. @socarxiv. https://twitter.com/socarxiv/status/1266796731527806983

  2. Feb 2021
  3. Jan 2021
  4. Dec 2020
  5. Nov 2020
  6. Oct 2020
    1. We have increased the power of gossip-mongers and correspondingly reduced the power of elite institutions of the 20th century, including politicians, mainstream media, and scientists.

      The scaling up of the gossip mechanism on top of ISS has resulted in an increase in power for gossip mongers and a decrease in power of the institutions we relied on before: politicians, mainstream media, scientists.

    1. First, I will focus in these larger groups because reviews that transcend the boundary between the social and natural sciences are rare, but I believe them to be valuable. One such review is Borgatti et al. (2009), which compares the network science of natural and social sciences arriving at a similar conclusion to the one I arrived.
    2. Social scientists focus on explaining how context specific social and economic mechanisms drive the structure of networks and on how networks shape social and economic outcomes. By contrast, natural scientists focus primarily on modeling network characteristics that are independent of context, since their focus is to identify universal characteristics of systems instead of context specific mechanisms.
    3. Science and Complexity (Weaver 1948); explained the three eras that according to him defined the history of science. These were the era of simplicity, disorganized complexity, and organized complexity. In the eyes of Weaver what separated these three eras was the development of mathematical tools allowing scholars to describe systems of increasing complexity.
  7. Sep 2020
  8. Aug 2020
  9. Jul 2020
    1. O’Connor, D. B., Aggleton, J. P., Chakrabarti, B., Cooper, C. L., Creswell, C., Dunsmuir, S., Fiske, S. T., Gathercole, S., Gough, B., Ireland, J. L., Jones, M. V., Jowett, A., Kagan, C., Karanika‐Murray, M., Kaye, L. K., Kumari, V., Lewandowsky, S., Lightman, S., Malpass, D., … Armitage, C. J. (n.d.). Research priorities for the COVID-19 pandemic and beyond: A call to action for psychological science. British Journal of Psychology, n/a(n/a), e12468. https://doi.org/10.1111/bjop.12468

  10. Jun 2020
  11. May 2020
    1. Van den Akker, O., Weston, S. J., Campbell, L., Chopik, W. J., Damian, R. I., Davis-Kean, P., Hall, A. N., Kosie, J. E., Kruse, E. T., Olsen, J., Ritchie, S. J., Valentine, K. D., van ’t Veer, A. E., & Bakker, M. (2019). Preregistration of secondary data analysis: A template and tutorial [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/hvfmr

  12. Apr 2020
    1. Watts, D. J., Beck, E. D., Bienenstock, E. J., Bowers, J., Frank, A., Grubesic, A., Hofman, J., Rohrer, J. M., & Salganik, M. (2018). Explanation, prediction, and causality: Three sides of the same coin? [Preprint]. Open Science Framework. https://doi.org/10.31219/osf.io/u6vz5

    1. Salganik, M. J., Lundberg, I., Kindel, A. T., Ahearn, C. E., Al-Ghoneim, K., Almaatouq, A., Altschul, D. M., Brand, J. E., Carnegie, N. B., Compton, R. J., Datta, D., Davidson, T., Filippova, A., Gilroy, C., Goode, B. J., Jahani, E., Kashyap, R., Kirchner, A., McKay, S., … McLanahan, S. (2020). Measuring the predictability of life outcomes with a scientific mass collaboration. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1915006117

  13. Dec 2019
    1. Four databases of citizen science and crowdsourcing projects —  SciStarter, the Citizen Science Association (CSA), CitSci.org, and the Woodrow Wilson International Center for Scholars (the Wilson Center Commons Lab) — are working on a common project metadata schema to support data sharing with the goal of maintaining accurate and up to date information about citizen science projects.  The federal government is joining this conversation with a cross-agency effort to promote citizen science and crowdsourcing as a tool to advance agency missions. Specifically, the White House Office of Science and Technology Policy (OSTP), in collaboration with the U.S. Federal Community of Practice for Citizen Science and Crowdsourcing (FCPCCS),is compiling an Open Innovation Toolkit containing resources for federal employees hoping to implement citizen science and crowdsourcing projects. Navigation through this toolkit will be facilitated in part through a system of metadata tags. In addition, the Open Innovation Toolkit will link to the Wilson Center’s database of federal citizen science and crowdsourcing projects.These groups became aware of their complementary efforts and the shared challenge of developing project metadata tags, which gave rise to the need of a workshop.  

      Sense Collective's Climate Tagger API and Pool Party Semantic Web plug-in are perfectly suited to support The Wilson Center's metadata schema project. Creating a common metadata schema that is used across multiple organizations working within the same domain, with similar (and overlapping) data and data types, is an essential step towards realizing collective intelligence. There is significant redundancy that consumes limited resources as organizations often perform the same type of data structuring. Interoperability issues between organizations, their metadata semantics and serialization methods, prevent cumulative progress as a community. Sense Collective's MetaGrant program is working to provide a shared infastructure for NGO's and social impact investment funds and social impact bond programs to help rapidly improve the problems that are being solved by this awesome project of The Wilson Center. Now let's extend the coordinated metadata semantics to 1000 more organizations and incentivize the citizen science volunteers who make this possible, with a closer connection to the local benefits they produce through their efforts. With integration into Social impact Bond programs and public/private partnerships, we are able to incentivize collective action in ways that match the scope and scale of the problems we face.

  14. Jul 2018
    1. Social scientists measure the strength of these links using a variety of indicators, such as how often a person calls another, whether that call is reciprocated, the time the two people spend speaking, and so on. But these indicators are often difficult and time-consuming to measure.
  15. Oct 2017
    1. One of the main ways computers are changing the textual humanities is by mediating new connections to social science. The statistical models that help sociologists understand social stratification and social change haven’t in the past contributed much to the humanities, because it’s been difficult to connect quantitative models to the richer, looser sort of evidence provided by written documents.

      DH as moving English more toward the statistical...

  16. Sep 2017
    1. 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.

  17. Jul 2017
    1. MIT is running a master's program in data, economics, and development policy with unique admission requirements. Anyone can apply after completing five online courses through edX with in-person exams.

      https://micromasters.mit.edu/dedp/

    1. The students who exerted more self-control were not more successful in accomplishing their goals. It was the students who experienced fewer temptations overall who were more successful when the researchers checked back in at the end of the semester.

      Reduce the number of distractions you get better results.

  18. May 2015
  19. www.jstor.org.mutex.gmu.edu www.jstor.org.mutex.gmu.edu
    1. Annual Reviews is collaborating with JSTOR to digitize, preserve and extend access to Annual Review of Anthropology. http://www.jstor.org The Globalization of Pentecostal and Charismatic Christianity

      Finally an open-source, open access option for sharing research!