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Science dissemination 2.0: Social media for researchers. Practical workshop.

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This practical workshop complements the lecture that I gave in University of Barcelona's Faculty of Medicine (Master in Translational Medicine-MSc Cellex, University of Barcelona-Hospìtal Clínic, 9 March 2016) where I summarised the benefits which can be gained from use of social media (specially blogs, Twitter and other socialnetwork sites) to support research activities, and I provided examples of these innovative emerging resources as tools for scientific communication related to translational medicine, as well as discussed their implications for digital scholarship. You can access to the lecture at: http://www.slideshare.net/xavierlasauca/science-dissemination-20-social-media-for-researchers-59551716

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Science dissemination 2.0: Social media for researchers. Practical workshop.

  1. 1. Master in Translational Medicine-MSc CELLEX UB’s Faculty of Medicine, 9 March 2016 Science dissemination 2.0 Practical Workshop Social media for researchers Xavier Lasauca i Cisa @xavierlasauca https://www.flickr.com/photos/nihgov/23595679440
  2. 2. http://commons.wikimedia.org/wiki/File:Introduction_%28Punch,_volume_1,_1841%29.png Introduce yourself and say:  Who you are and where you work/study  What your research interests are  What you hope to gain from the session About you
  3. 3. #Listen
  4. 4. http://feedly.com
  5. 5. EXERCISE 1: Connect to feedly.com and create your personal account. Subscribe to: Blogs: Blog director NIH + The California Stem Cell Agency blog Universities: Institute for Translational Medicine Univ. Chicago Publications: Journal of Translational Medicine + Science journal Research centers: IDIBAPS Organize the recently created feeds in four collections (Blogs, Universities, Publications, Research centers)
  6. 6. #Communicate The uses of Twitter for Science https://www.flickr.com/photos/30767852@N00/3460078384/
  7. 7. Bio (biografia) Timeline (cronologia) Follower (seguidor) Following (a qui segueixo) Tweet (tuit, piulada) Mention (menció) Retweet (RT) (retuit, repiulada) Like (m’agrada) DM (missatge directe) Hashtag (#) (etiqueta) #FF (Follow Friday) (recomanació per seguir) Trending Topic (TT) (Tema del moment) List (llista) Unfollow(deixar de seguir) #TwitterVocabulary https://www.flickr.com/photos/bakerella/3330087454
  8. 8. The Bio
  9. 9. The Timeline RT Mention
  10. 10. Likes
  11. 11. Trends (TT), DM TT
  12. 12. Twitter lists
  13. 13. Some tips… • Do not exceed 120 characters • Structure tweet: text + URL + hashtags • Be very careful with spelling • Include an image https://www.flickr.com/photos/laughingsquid/5301039823
  14. 14. http://www.keepcalm-o-matic.co.uk/p/keep-calm-and-follow-my-twitter-1/ EXERCISE 2: Sign up to Twitter from twitter.com 1. Follow ten accounts (@idibaps, @MasterTMedicine, @hospitalclinic…) 2. Add an image and fill in the bio (View profile – edit profile) 3. Go to @idibaps @crgenomica @stemcellsTM and RT two tweets and Like two tweets more 4. Send two DM to colleagues of workshop 5. Send your first tweet 6. Subscribe to a list of @xavierlasauca 7. Create one list and add 5 accounts
  15. 15. https://www.flickr.com/photos/krossbow/4365875125 https://www.flickr.com/photos/krossbow/4365875125
  16. 16.  Klout is a website and mobile app that uses social media analytics to rank its users according to online social influence via the "Klout Score“  Numerical value between 1 and 100  Klout uses Bing, Facebook, Foursquare, Google+, Instagram, LinkedIn, Twitter, YouTube, and Wikipedia data to create Klout user profiles that are assigned a unique "Klout Score“.  Klout has been criticised for the opacity of their methodology.
  17. 17.  Influence Score and Platform created using PeopleBrowsr technology  Based on Twitter  Kred is a dual score to distinguish a person's Influence (the likelihood that someone will trust a person and act upon their posts, 0-1000) and Outreach (the propensity to share other people's content forward, 0-10)  Provides influence measure based upon an openly- published algorithm KRED
  18. 18. Source: Social Media Analytics for R&D: a Catalan Vision (5-11-2012)
  19. 19. https://about.me/xavier.lasauca
  20. 20. Over to you In groups of 3 or 4 discuss: • What concerns do you have about using social media? • What risks do you envisage? • What limitations might social media have in your research area? https://www.flickr.com/photos/webtreatsetc/5121480745
  21. 21. http://www.flickr.com/photos/kugelfisch/3558561251/sizes/l Xavier Lasauca i Cisa www.xavierlasauca.cat @xavierlasauca

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