data science research center - overview and mission
TRANSCRIPT
Marcel WorringUniversity of Amsterdam
An Introduction
Outline
1. Goals of the DSRC 2. Embedding and organization 3. Realizing the DSRC
4. The roadmap5. How to get involved
The goal
• Become a leading center on data science by developing the new data science discipline
Leveraging our scientific excellence
Leveraging our tools and infrastructure
Reaching out
Educating talents
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Our contributions to data science
Data
Understand and decide
Analyze and model
Store and process
Reasoning
Knowledge representati
on
MultimediaRetrieval
Modeling and
simulation
Machine Learning
Information Retrieval
Decision Theory
BusinessAnalytics
VisualAnalytics
DistributedProcessing
Large Scale Databases
SoftwareEng.
System / Network
Eng.
SecurityPrivacy
Provenance
Goals in data science research
Data
Understand and decide
Analyze and model
Store and process
Reasoning
Knowledge representati
on
MultimediaRetrieval
Modeling and
simulation
Machine Learning
Information Retrieval
Decision Theory
BusinessAnalytics
VisualAnalytics
DistributedProcessing
Large Scale Databases
SoftwareEng.
System / Network
Eng.
SpeedEfficiencyScalability
InsightImpact
PrecisionRecall
Model fit
Conformance
Data Science
• Characteristics– All are connected– All driven by data and its use– A holistic approach is needed
• Our answer– The Data Science Research Center
Research in data science
Data
Understand and decide
Analyze and model
Store and process
Reasoning
Knowledge representati
on
MultimediaRetrieval
Modeling and
simulation
Machine Learning
Information Retrieval
Decision Theory
Business Analytics
VisualAnalytics
DistributedProcessing
Large Scale Databases
SoftwareEng.
System / Network
Eng.
Data Science
Research Center
Embedding and relations
DSRC
Informatics InstituteUvA
Department of Computer Science VU
E-science center SURFsara
CWI
ILLC
HvA
Department of mathematics
CLHC Forensic Science
Network Institute
Center for Digital Humanities
Center for content, creation and technology
Amsterdam BusinessSchool
OrganizationDaily management team
Management board
Leading researchers
Marcel Worring Paul Groth Sanne Veenenbos
Max Welling Henri Bal Bert Bredeweg Ger Koole
Sander Klous Arnold SmeuldersMaarten de RijkePeter BonczFrank van HarmelenJacopo UrbaniCees de Laat
Realization: four aims
Research: a platform for research in data science connecting people and methodologies.
Infrastructure: a data-driven infrastructure for experimenting with realistic complex data sets.
Valorization: a channel between scientific research and third party applications.
Education: data-science curricula with realistic data experimentation throughout the program.
Research
• Focus on research with a holistic view on data science– Connecting the different disciplines– From data to domain impact
• Start – Seed projects: small projects bringing together
two or more ICT disciplines• Workshops
– Domain workshops: with all stakeholders define research topics leading to data science project proposals
Infrastructure
“In a sense, the physical and technical infrastructure
becomes invisible and the data themselves become the
infrastructure – a valuable asset, on which science,
technology, the economy and society can advance.”[“Riding the wave” EU High Level Expert Group]
Shared large scale
datasources
Common tools and code bases
Transparant access to distributed computing infrastructure
Shared domain driven tasks
Valorization
• Joint full projects– Within the DSRC– With industry / govermental organizations
• Small-scale projects– From data and problem to solution with quick
turnaround • Competitions
– From data and problem to innovative solutions worked on by a number of teams
• Spin-offs and startups
Education
• Infrastructure yields platform for education in – Informatics
• Information Science, Artificial Intelligence, Software Engineering, Computer Science, Business Analytics
– Domain specific courses• E.g. Minor Data Science for X (your favorite discipline)
– Commercial courses• The objective of DSRC
– to introduce a full data science program• With hands-on experience
– On real data and real problems or innovations
Finance
UvA Faculty
Research Cluster
VUMatching
Funds
AFS profiling funds
ProjectsProjects
Projects
Projects
Projects
Projects
Domains
• Digital humanities • Computational social science• Digital forensics and security• City technology• Physical sciences• Life sciences• Business analytics• .......
Fully functional
Data science programSelf-sustained
Holistic data science
Start of new PhD projects
Roadmap
Seed projects
Domain workshops
Invited talks
Basic transparent infrastructure
Infrastructure design
Data acquisition
Start of projectsEmbedding infrastructure
Courses
Minor(s) data scienceDomain workshopsProject acquisition
RDA
Year 1
Year 2
Year 3 and 4 PIRE
How to get involved
• As a data science researcher– See what we can offer and what you can offer– Define one of the seed projects– Participate/propose workshops– Acknowledge DSRC in publications– Bring in (existing or new) projects
• Contact us via– [email protected]
How to get involved
• As a data-driven application holder– Participate in the workshops and events– See how you can share your data– See whether we can develop joint projects– Link domain knowledge and data science
research• Contact us via
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Overview of the talks
Data
Understand and decide
Analyze and model
Store and process
Reasoning
Knowledge representati
on
MultimediaRetrieval
Modeling and
simulation
Machine Learning
Information Retrieval
Decision Theory
Business Analytics
VisualAnalytics
DistributedProcessing
Large Scale Databases
SoftwareEng.
System / Network
Eng.
Henri Bal
Maarten de RijkeCees de LaatMax Welling
Peter Boncz
See some of the demos
