Cerimônia de abertura dia 17/05.

Dra. Cassidy R. Sugimoto, Universidade de Indiana, EUA.

 

Mesa redonda dia 18/05

Ciência em rede: cientistas e o impacto das mídias sociais.

 

 

 

 

Dr. Cameron Neylon, Curtin University, Austrália.

Network Enabled Research: Breaking it down and building it back up

 
We talk about "research networks" for projects. Our measures of research quality are often based on networks of citations. Social media networks are increasingly important in internal and external communications of research. Usually we think about these things as external technologies that have affected how we do things. Social technologies of funding intended to drive collaboration, data collection technologies that let us think about not just one link between articles but the characteristics of the whole system, communications technologies with new possibilities. But to think of these as external effects is to miss the fact that the networks have always been there. What has changed is their density and interconnection. We can actually turn the question around. Rather than ask what impact social media networks have had on research, we should ask what changes were occurring that required something like social media to be developed? For science to continue growing, it needs more complex and larger networks to be formed. What are the characteristics of systems that support that? How do we design science as networks so that it can continue to grow?

 

 

 

 

 

 

Dra. Stefanie Haustein, School for Information Studies, University of Ottawa, Canada and Centre interuniversitaire de recherche sur la science et la technologie (CIRST) - Université du Québec à Montréal, Canada.

How, when and what does the Twittersphere tweet about science?

 

Tweets linking to scholarly publications have been heralded as both early indicators of citations as well as measures of societal impact. Enjoying high uptake by the general public and considerable coverage of scientific journal articles, scholarly Twitter metrics are among the most popular altmetrics. Even though the Twittersphere provides rich networked data of follower-followee relationships, tweets, hashtags, geolocation and co-tweeted publications, altmetric indicators are mostly reduced to plain numbers without distinguishing between various levels of user types and engagement. Based on an analysis of 24 million tweets linking to scholarly documents, the talk will address how, when, and by whom scientific articles are discussed on Twitter to provide some insight into the meaning of Twitter-based altmetrics. Social network analyses of tweet and user networks will demonstrate how current metrics can be enriched to allow a deeper understanding of how scientific publications are diffused on Twitter.

  

Mesa redonda dia 19/05:

Ciência em rede nos países periféricos. 

 Dr. Jesus Mena Chalco, Universidade Federal do ABC.