Lund University Center for Data Science
GPTKB entity
Statements (60)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Research_Institute
|
| gptkbp:bfsLayer |
5
|
| gptkbp:bfsParent |
gptkb:Lund_University_Faculty_of_Science
|
| gptkbp:affiliated_with |
gptkb:Lund_University
|
| gptkbp:collaborated_with |
International universities
|
| gptkbp:collaborates_with |
Industry partners
|
| gptkbp:contributed_to |
Scientific publications
|
| gptkbp:engages_in |
Public outreach
|
| gptkbp:established |
gptkb:2016
|
| gptkbp:focuses_on |
Data science
|
| gptkbp:has_part |
Data Science Master's program
Data Science research projects |
| gptkbp:hosts |
Conferences
|
| https://www.w3.org/2000/01/rdf-schema#label |
Lund University Center for Data Science
|
| gptkbp:is_part_of |
gptkb:Lund_University
|
| gptkbp:location |
gptkb:Lund,_Sweden
|
| gptkbp:offers |
Internships
Ph D programs |
| gptkbp:promotes |
Open science
|
| gptkbp:provides |
gptkb:Workshops
gptkb:conference Consulting services |
| gptkbp:receives_funding_from |
gptkb:EU_Horizon_2020
gptkb:Swedish_Research_Council |
| gptkbp:research |
gptkb:Artificial_Intelligence
Machine learning Big data analytics |
| gptkbp:research_focus |
gptkb:Responsible_AI
Data mining Natural language processing Time series analysis Computer vision Social network analysis Data visualization Data-driven decision making Data security Predictive analytics Data governance Data integration Data privacy Smart cities Statistical modeling Data lifecycle management Data quality Data standards Data interoperability Data architecture Data ethics AI for social good Data science frameworks Data science methodologies Data science tools Data science applications Data science education Data-driven healthcare Data ethics in AI Data science policy Sustainability in data science |
| gptkbp:supports |
Interdisciplinary research
|
| gptkbp:utilizes |
Computational resources
|