The A to Z of Social Media for Academics. Social media, impact factors and how to get writing: Our most popular blogs of the year. What were the top papers of 2012 on social media? : Nature News Blog. The best of @e1evation for the week ending 7/21/2012 (with images, tweet) · e1evation. Social Media Monitoring Wiki - A Wiki of Social Media Monitoring Solutions.
Getting Started: Social Media for Academics. Twitter has a definite image problem.
It first penetrated the public consciousness in a way which has left it defined by celebrities and, particularly for academics, this is unattractive. If you want to persuade academics to use it, it’s important to illustrate that the academic twittersphere (I hate the term but have yet to come across a better one) has some quite specific characteristics. Perhaps by demonstrating some of the varied kinds of high-quality interaction you get on there e.g.
#phdchat discussions, the feeds of high profile academics who are engaged users, the possibility for crowd-sourcing. It’s difficult to convey the point of Twitter. Therefore it’s important to convey that you really do have to try it properly (i.e. fill out your profile, add a picture, find relevant people to follow, have some conversations, explore a hashtag and do some retweeting) before you’re in a position to make an informed decision.
Evolutionary Perspective on Collective Decision Making: Project Homepage. This project was supported by the NSF Human and Social Dynamics Program (Award #: NSF SES-0826711).
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation. [About] [Team] [Publications and Presentations] [Resources] [Contact Us] About the Project Collective decision making plays an increasingly important role everywhere in today's human society.
Existing literature addresses issues in collective decision making with linear statistical analysis or relatively simple dynamical modeling. In this NSF-funded project which ran from 2008 through 2012, researchers developed and proposed novel conceptual/computational multi-level models of the dynamics of complex collective decision making by uniquely shifting the viewpoint from the dynamics of participants to the dynamics of ideas being discussed. Research Team Principal investigators Hiroki Sayama, D.Sc. Collaborators. Video: 140 characters to success: The new frontier of #partnering strategy @work « partneringNEWS. The evolution of social network practices in science. Paris metro on a weeknight and numerous heads are tilted towards a book or a Smartphone that holds their attention.
Of those engaged with the latter, many are using a social network, or are busy tweeting. The emergence of social networks dates back to approximately 2004, but only since 2008 has their rapid growth reached the general public. Professional social networks have also developed in parallel, but their use remains marginal. The fairly conservative nature of the professional milieu should be kept in mind when considering this, particularly concerning the field of research, where the coffee machine remains the place of social exchange par excellence. Time to tweet : Naturejobs.
Social Media Report. The "social" side of digital science. Digital Toolbox. Zootool. Welcome to your notable world. Posterous - The place to post everything. Just email us. Dead si. Sharing Widget, Sharing Button, Sharing Plugin - ShareThis.