CorText Manager around the world

@inproceedings{Schoen2012,

title = {The Network Structure of Technological Developments; Technological Distance as a Walk on the Technology Map},

author = {Antoine Schoen and Lionel Villard and Patricia Laurens and Jean-Philippe Cointet and Gaston Heimeriks and Floortje Alkemade},

url = {https://core.ac.uk/download/pdf/48332739.pdf},

year  = {2012},

date = {2012-09-01},

urldate = {2012-09-01},

booktitle = {17th International Conference on Science and Technology Indicators},

pages = {733-742},

abstract = {This paper presents a global map of technology that characterises the proximity and dependency of technological  areas.  It  addresses  the  structure  of  technological  output  embodied  in  the  network  connecting patents to the patent classifications that they are attributed to. The distance between areas of  technology  is  based  on  the  analysis  of  the  co-occurrence  of  IPC  codes  assigned  to  individual  patent  documents.  As  our  classification  of  technologies  we  use  an  extended  version  of  the  WIPO  classification  of  technological  fields,  unfolding  the  35  classes  to  389.  The  global  map  allows  to  ‘overlay’ patents produced by a specific organisation or country against the background of a stable representation  of  global  technological  invention  and  to  produce  comparisons  that  are  visually  attractive, very readable, and potentially useful for policy-making and strategic management. As an illustration,  the  technological  portfolios  of  two  large  industrial  corporations  (IBM  and  BASF)  are  projected  on  this  global  map  of  technology,  highlighting  the  technological  profile  of  these  groups.  As  such,  the  map  can  provide  valuable  information  about  promising  areas  of  further  technological  development, comparative advantages and missing technological competences. },

note = {oai:HAL:hal-00809632v1},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{barbier2012reconstruction,

title = {Reconstruction of Socio-Semantic Dynamics in Sciences-Society Networks: Methodology and Epistemology of large textual corpora analysis},

author = {Marc Barbier and Jean-Philippe Cointet},

url = {https://www.researchgate.net/publication/261774173_Reconstruction_of_Socio-Semantic_Dynamics_in_Sciences-Society_Networks_Methodology_and_Epistemology_of_large_textual_corpora_analysis_Communication_to_the_Science_and_Democracy_Network_Annual_Meeting_},

year  = {2012},

date = {2012-01-01},

booktitle = {Science and Democracy Network, Annual Meeting},

abstract = {Until recent time, the description, light-modeling and interpretation of socio-cognitive dynamics of science-society relations required a constructivist approach, involving collecting, reading, classifying and interpreting tasks performed by scholars examining sets of texts, archives, interviews, etc. The growing mass of data produced in the so-called Knowledge Society owes a lot to the acceleration and profusion of digital tools that are now widely used in different areas of human activities: work, culture, leisure, political expression, etc. Social scientists now largely acknowledge that the various modes of interaction brought by new information and communication technologies are changing the very nature of micro-politics and the expression of the self. In our views the conditions for producing knowledge from a Science & Technology Studies point of view are changed too, for at least three reasons: • the deluge of electronic sources of data overloads our capacity of enquiry, • S&TS dynamics now intertwine heterogeneous actors, matters of facts and matters of concerns coming from different arenas call for an integrated understanding of knowledge production and circulation. • Nevertheless, new digital infrastructures specifically designed for social sciences and humanities make it possible to equip scientists with tools that enable them to tackle the complexity of heterogeneous textual corpora dynamics and to develop innovative analytical methodologies that will bring new insights and renewed capacities to investigate contemporary issues.},

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}

@inproceedings{tari2010characterising,

title = {Characterising dynamics of new sciences through project collaborations: a project-based scientometrica insight into French bioenergies research},

author = {Thomas Tari and Marc Barbier and Philippe Breucker},

url = {http://agris.fao.org/agris-search/search.do?recordID=FR2014006818},

year  = {2010},

date = {2010-01-01},

booktitle = {3. European Network of Indicators Designers Conference: STI Indicators for Policymaking and Strategic Decisions. 2010-03-032010-03-05, Paris, FRA},

abstract = {This communication proposes to discuss the construction of methodological requirements on databases building and software development, and aspires to show some concrete results in visualising heterogeneous networks of research dynamics considered through projects ecology. Our reflection is grounded in the growing needs, either for decision makers or researchers of the STS and SPS communities to relay their analysis of facts on a convenient visualisation of structural relationships between heterogeneous actants. Their configuration in dedicated databases is worthy to focus on as they reflect the endogenous dynamics of research and R&D activities. Our hypothesis is that the aims, perimeter, contents and selected projects of funding programmes represent a relevant account of the un-going technological and scientific dynamic on the one hand, and a relevant account of the mobilization and choices of scientific communities and science policy “makers” on the other hand. Those configurations rely firmly on spatial-based organizations, mixing European, national and regional scales in formal and informal clusters. Our perspective in the CorTexT Platform of IFRIS is to enrich the studies of sciences dynamics on customized databases of research and R&D projects that represent through territories performative associations of laboratories, scientific teams, R&D firms and lead-users. },

keywords = {},

pubstate = {published},

tppubtype = {inproceedings}

}