BIRDS 2021

Bridging the Gap between Information Science, Information Retrieval and Data Science

An interdisciplinary CHIIR 2021 workshop for students, practitioners and researchers in Data Science, Information Retrieval, Information Science and Human-Computer Interaction.

March 19, 2021 (online)


BIRDS offers a range of invited talks and accepted peer-reviewed papers

Invited Talks:

• Ed Fox, Virginia Tech, USA: User Discovery and Exploration in Future Digital Libraries
• Tony Russell-Rose, 2Dsearch and Goldsmiths, University of London, UK: Searching, fast and slow
• Emanuele Di Buccio, University of Padua, Italy: Data Science and Information Access for Social Research on Technoscientific Issues in the Media
• Martin White, Intranet Focus Ltd and University of Sheffield, UK: Understanding and solving the complex IIR challenges of searching enterprise content
• Lorraine Goeuriot, Univ. Grenoble Alpes, France: Exploiting clinical data to build patients trajectories
• Tobias Eljasik-Swoboda et al, Fernuniversität Hagen, Germany: Querying by Example Using Bootstrapped Explainable Text Categorization in Emergent Knowledge-Domains
• Kevin Berwind, Fernuniversität Hagen, Germany: Design of use case diagrams and personas based on the CRISP4BigData process / Conceptual Design and Implementation of a graphical user interface for CRISP4BigData

Accepted Papers:

• Morshed Adnan, Matthias Hemmje and Michael Alexander Kaufmann. Social Media Mining to Study Social User Groups by Visualizing Tweet Clusters using Word2Vec, PCA and K-Means
• Mahmoud Artemi and Haiming Liu. A User Study on User's Attention for an Interactive Content-based Image Search System
• Stefan Wagenpfeil, Felix Engel, Paul McKevitt and Matthias Hemmje. Semantic Query Construction and Result Representation based on Graph Codes
• Nicholas Collis and Ingo Frommholz. AQUACOLD: A Novel Crowdsourced Linked Data Question Answering System
• Ghadeer Abuoda, Chad Hendrix and Stuart Campo. Automatic Tag Recommendation for the UN Humanitarian Data Exchange
• Thoralf Reis, Sebastian Bruchhaus, Binh Vu, Marco X. Bornschlegl and Matthias L. Hemmje. Towards Modeling AI-based User Empowerment for Visual Big Data Analysis