2nd Workshop on Computational Impact Detection from Text Data @LREC
As organizers of the "2nd Workshop on Computational Impact Detection from Text Data", we decided to stop the review process, suspend publication of the proceedings, and organize the workshop at a later date in person. We believe that there would be little use of published proceedings if they cannot be discussed face-to-face.
If you have any questions, please feel free to email Andreas Witt (witt@ids-mannheim.de).
Call for Papers
Subsequent to the 1st Workshop on Computational Impact Detection from Text Data at LREC 2018 in Miyazaki, Japan, the 2nd workshop will address research questions of growing relevance and attention in linguistics, computational social science, and public policy, among other areas in this workshop. They include: How can we measure and evaluate the impact of information, such as scientific publications, user-generated content, and reports from the public administration, on individuals, groups, and society by analyzing text data? How do the outcomes compare to or supplement alternative impact assessment solutions and respective findings? Impact assessment as an application context of basic research has been gaining momentum in academia as well as the private and public sectors. A broad range of types of impact exists, such as changes in awareness for and stance towards economic, ecological and political matters. The workshop is at the nexus of expertise in different methods for analyzing text data; spanning the whole spectrum of qualitative, quantitative and mixed methods approaches, and domain expertise in impact measurement as specific application domains. We invite papers for new work on methods of Impact Research, including, but not limited to:
- Automatic detection of linguistic patterns indicating impact
- Analyzing and extracting impact terminology
- Knowledge bases
- Semantic corpus-analysis related to impact assessment
- Impact Resources, e.g., for training and evaluation
- Development and building special purpose text corpora
- Classification schemes for impact types
Program Committee
- Jana Diesner, the iSchool at University of Illinois at Urbana-Champaign, USA
- Annemarie Friedrich, Bosch Research, Germany
- Lindsay Green-Barber, the Impact Architects, San Francisco, USA
- Franciska Jong, Executive Director, CLARIN ERIC, Europe
- Sandra Kübler, University of Indiana Bloomington, USA
- Shadi Rezapour, the iSchool at University of Illinois at Urbana-Champaign, USA
- Andreas Witt, Institute of the German Language, Mannheim, Germany & CLARIN ERIC, Europe & University of Cologne, Germany
- Shubhanshu Mishra, Natural Language Processing Engineer, Twitter
Organizers
- Andreas Witt, Institute of the German Language, Mannheim, Germany & CLARIN ERIC, Europe & University of Cologne, Germany
- Jana Diesner, the iSchool at University of Illinois at Urbana-Champaign, USA
- Shadi Rezapour, the iSchool at University of Illinois at Urbana-Champaign, USA
If you have any questions, please feel free to email Andreas Witt (witt@ids-mannheim.de).