KMi is a multidisciplinary R&D lab that has been at the forefront of innovation for the past 20 years. We lead in a number of areas, including Semantic Technologies, Educational Media, Social Media Analysis, Big Data, Smart Cities, IoT and others.
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People
I am a Research Associate at the Data Science Group of the Knowledge Media Institute (KMi), U.K. My research focuses on the social implications of digital technologies and algorithmic governance...
I am a datascience PhD student conducting research in Sentiment Analysis for dialectal languages on social media with a specific focus for Arabic. Unlike other languages, Arabic is very dialectal and...
Testimonials
"If you are or want to be a brilliant mind, this is where you want to be!"
Valentina Presutti, Institute of Cognitive Science and Technologies, Italy
"I cannot imagine going to a conference without experiencing deep scientific conversations with KMiers!"
Raphaël Troncy, EURECOM: Graduate School & Research Center, France
"Top location for SW research for decades and going strong!"
Pascal Hitzler, Wright State University, USA
Publications
Sharma, N., Colucci-Gray, L., Siddharthan, A., Comont, R. and Wal, R. (2019) Designing online species identification tools for biological recording: the impact on data quality and citizen science learning, PeerJ, 6:e5965, pp. 24 pages
Ullmann, T., De Liddo, A. and Bachler, M. (2019) A Visualisation Dashboard for Contested Collective Intelligence. Learning Analytics to Improve Sensemaking of Group Discussion A Visualisation Dashboard for Contested Collective Intelligence. Learning Analytics to Improve Sensemaking of Group Discussion, 22, pp. 41-80
Bruzzo, S., Manghi, P. and Mannocci, A. (2019) OpenAIRE's DOIBoost - Boosting CrossRef for Research, 15th Italian Research Conference on Digital Libraries, IRCDL 2019, Pisa, Italy, January 31 â€" February 1, 2019, Proceedings, Pisa
Future Seminars
Deep Learning for Information Extraction from Cancer Pathology Reports
This event will take place on Tuesday 19 March 2019
Shang Gao - University of Tennessee
Medical text can present unique challenges for natural language processing (NLP) including documents that are several pages long, linguistic dependencies over different report sections, and...
Recent Seminars
Monica Ihli - Assistant Professor Librarian, University of Tennessee Libraries
Acknowledgement Lag, Impact, and Community Formation: Data-Driven Approaches for Describing Research Outcomes
This event took place on Monday 28 January 2019
Dr. Matti Nelimarkka - Aalto University, Department of Computer Science
Participation and Human-Computer Interaction
This event took place on Wednesday 23 January 2019
Dr. Ewan Colman
Social behavior and the spread of disease in animal populations
This event took place on Monday 10 December 2018
Dr. David Camacho - Universidad Autónoma de Madrid
A gentle introduction to Community Finding Detection Algorithms
This event took place on Friday 30 November 2018
