Beyond the next generation of knowledge: Data …...Beyond the next generation of knowledge: Data...
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IV DFH meet-up Beyond the next generation of knowledge: Data Science, practice from within
Transcript of Beyond the next generation of knowledge: Data …...Beyond the next generation of knowledge: Data...
IV DFH meet-up
Beyond the next generation of knowledge: Data Science, practice from within
• Chair : Marijke Verheij (RIS)15:00 walk-in with tea and coffe15:15 Welcome by Ronald Stolk15:20 Special Guest: eScience centre
• 15:50 Overview of Data Science research & practice15:50 Jonas Bulthuis16:10 Morris Swertz
• 16:30 Intro to 5 min pitch + Q&A- Jiapan Guo: Data Science at UMCG- Hajie Wind: Data Science in Mining Big Data project- Malvina Nissim: Data science for Language and Cognition- Lorenzo Amabili: Visual Storytelling of Big Imaging Data- Anne Beaulieu: Data Science research minor
• 17:30 Drinks and Networking
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Data Federation Hub - outline
Ronald StolkDirector CIT – CIO University of Groningen
Research data support is a profession•Data Management Plans
• Policy/legal requirements
•HPC storage and compute
•Open Data, EOSC
•Open Science
•…
•Support and expertise is scattered in UG and UMCG
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Data Federation Hub
1. Link and support existing initiatives
2. Knowledge base
3. Communication and branding
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DFH organization
• Federation -> not centralized─ Network
─ Supervision board, all faculties
•Ad-hoc collaborations (not obligatory)─ Infrastructure grant application
─ Purchase storage expansion
─ Agreement with large data company
─ …
•Small central team─ Organize meet up
─ Maintain knowledge base
─ …6
DFH in 2018
• Partnership with AJSPH
• Partnership with Groningen Digital Business Centre
• Partnership with ASTRON
•18 Sept: Meet-up Catalogue @ UMCG
•Nov : Meet-up on DFH / Human @CIT
• Focus meeting on DPIA @ BSS research support
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DFH project team
•Teijo Doornkamp (University Library, RDO)
•Anna Salzano (CIT, UMCG)
•Salome Scholtens (Research IT, UMCG)
•Marijke Verheij (CIT)
•Marjolein Nieboer (University Library)
•Ronald Stolk (CIT)
•Marina de Giorgi- Subscribe to the DFH mailing list [email protected]
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www.rug.nl/dfh
15:15 Welcome by Ronald Stolk
15:20 Special Guest: Escience centre
15:50 Overview of Data Science research & practice15:50 Jonas Bulthuis16:10 Morris Swertz
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Introducing the eScience Center
Photography: Elodie Burrillon
Our mission:
Enabling digitally enhanced
research
The upcoming of ICT;
BSIK & FES projects
1990 2000 2011 2012 2013 2014 2015 2018 2020
eScience Center
founded by
NWO & SURF
More Coordination
ICT-Regie; Taskforce NWO
External Review
Go forward !
Nieuw board en director;
eScience own personeel
New Cooperation
SURF & NWO
Big data analytics
Scientific visualization
Machine learning
Information retrieval
Computer vision
Information visualization
Text mining
Efficient
computing
Low power computing
Accellerated computing
Orchestrated computing
High performance computing
Distributed computing
Optimized data
handling
Databases
Linked data
Handling sensor data
Information integration
Data assimilation
Academic
researchers
Academic
researchers
Collaborative projects
Photography: Elodie Burrillon
University of Exeter
CICERO Noorwegen
Danmarks Meteorologiske
Institut
Eindhoven University of Technology
Environment & Sustainability
Life Sciences & eHealth
Humanities & Social Sciences
Physics & Beyond
Our projects in 2017
Tilburg University
MAASTRO ClinicOpen University Heerlen
Utrecht University
KNMI
Surfnet
University Medical Center Utrecht
Wageningen University
University of Twente
University of Groningen
ASTRON
VPLB
Delft University of Technology
Leiden University
VU University Medical Center
VU University Amsterdam
University of Amsterdam
Netherlands eScience Center
NIKHEF CWI
o
o
Academic
researchers
Collaborative projectsResearch
software
Research
question
Applying
Exploring
Tailoring &
developing
Generalizing Re-using
Photography: Elodie Burrillon
Academic
researchers
Collaborative projectsResearch
software
Sharing knowledge
and software
Photography: Silo Agency
• Finding software
• Making software accessible
• Quickly judge relevance and quality
• Indicating return on investment
Researchers
Developers
softwar
e
softwar
e
Research Software
Directory
Return on
investment
Funders
Policy
makers
Academic
researchers
Collaborative projectsDeveloping high quality
research software
Sharing knowledge
and software
Taking advantage of
increasingly powerful
e-infrastructure
Academic stakeholders
R&D industry
Research institutes & public
knowledge organizations
Computer & data science
partners
Research infrastructures
International infrastructures
Local digital infrastructure
Domain specific
Funding bodies
National government
Programs & initiatives
EU
Research
partners
Digital
infrastructures
Public
stakeholders
Photography: Elodie Burrillon
Solid State Batteries
(TU/D)
Quantum Monte Carlo For
OPVs (UT)
Nanostructure for
Photovoltaics (UT)
Plasma Physics for
Catalysis (TU/E)
Quantum Dots for Energy
Conversion (VU)
Mutliphase Flows (TU/D)
Multiscale Exciton Dynamics
(TU/E)
Wind Farm Simulations
(RUG)
Joint Call for
Energy Research
15 Research groups
2 Private partners
8 PhD students
10 eScience Engineers
Solid State Batteries
(TU/D)
Quantum Monte Carlo
For OPVs (UT)
Nanostructure for
Photovoltaics (UT)
Plasma Physics for
Catalysis (TU/E)
Quantum Dots for Energy
Conversion (VU)
Mutliphase Flows (TU/D)
Multiscale Exciton Dynamics
(TU/E)
Wind Farm Simulations
(RUG)
Molecular
Workflows
Machine
Learning
Photography: Elodie Burrillon
Let’s stay in touch
+31 (0)20 460 4770
www.esciencecenter.nl
blog.esciencecenter.nl
eScienceCenter
eScienceCenter
linkd.in/1j2uS8S
Data Science @ CIT, Groningen
Jonas Bulthuis Research & Innovation Support, CIT, University of Groningen
One of the many definitions of data science:
“extracting knowledge/insight
from data in all forms, through data inference and
exploration”
Call for proposals Data Science 2018
Data scientists are availablefor research support at theUniversity of Groningen!
> Deadline for submission pre-proposals: 30 June 2018
> Information: www.rug.nl/datascience
many more colleagues (HPC, 3D Visualisation, Geo, DSSC, Mining Big Data, …)
Arya Babai (computing science, image processing, deep learning)
Leslie Zwerwer (mathematics, psychology, statistics)
Herbert Kruitbosch (computing science, image processing, deep learning)
Cristian Marocico(physics,deep learning,simulations)
Jonas Bulthuis (computing science,economics&business)
current core team data science CIT:
Dimitrios Soudis(econometrics,machine learning,research methods)
machine learning algorithms, like
Linear Regression
Logistic Regression
Support Vector Machines
Principal Component Analysis
K-means and hierarchical clustering
Decision Trees and Random Forest
Naive Bayes
Deep Neural Networks
and more ….
Speech dialect detection in regional television
Data Science @ CIT
Our work : AN OVERVIEW
Data science for Center for Medical Imaging
Structural Similarity (SSIM)
Detecting coronary artery calcification
Automated analysis of discursive practices on Twitter - COSMO
Platform Pop: Spotify’s Role as an Intermediary in the Music Industry
Central Sensitization and Physical Activity in patients with Chronic Lower Back Pain
pattern recognition
Rewriting Nature
> predicting diseases based on genetic variants
Data Science for Genomics Coordination Centre
Automatic Processing of Eye Tracking Movies
• Chair : Marijke Verheij (RIS) --- sick
• 16:30 Intro to 5 min pitch + Q&A- Jiapan Guo: Data Science at UMCG- Hajie Wind: Data Science in Mining Big Data project- Malvina Nissim: Data science for Language and Cognition- Lorenzo Amabili: Visual Storytelling of Big Imaging Data- Anne Beaulieu: Data Science research minor
• 17:30 Drinks and Networking
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Medical Imaging Informatics in Radiology
——An introduction to the ongoing projects
Jiapan Guo
Postdoc in the Center for Medical Imaging,
University Medical Center Groningen,
University of Groningen
▪ Population-based Screening of Big-3 Diseases in the
Netherlands and China (IMALIFE, NELCIN-B3)
▪ Low-dose Chest CT Scans
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Clinical Studies in Center for Medical Imaging
Axial View Coronal View Sagittal View
Clinical Practice in Oral and Maxillofacial Surgery
▪ Mandible
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▪ Cardiac Diseases
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Projects in Medical Imaging Informatics
Cardiac Adipose Tissue DetectionCoronary Calcification Detection
▪ Cardiac Diseases
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Projects in Medical Imaging Informatics
Coronary Calcification Detection
CT scans | Manual | Automatic
Segmentation Segmentation
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▪ Pulmonory Diseases
Pulmonary Nodule Detection
Lung Emphysema
▪ Mandible segmentation
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Automatic SegmentationManual Segmentation Combined
with Automatic Segmentation
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▪ MR Mammography
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Jiapan Guo
Q&A
Haije Wind
Projectmanger |Innovationmanager
Center for Information Technology
Target Mining Big Data
Research:
-DSSC (Artificial Intelligence/Computing Science)
-Kapteyn Institute (Astronomy Omegacen)
Industry:
-Target Holding BV
-Horus BV
IT
- Center for Information Technology
Mining Big Data: First Users
(new?)
Mining Big Data: First Users
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Data science for Language and Cognition
Malvina Nissim, Computational Linguistics Group, CoordinatorCLCG, Faculty of Arts, University of [email protected]
Data science for Language and Cognition
Malvina Nissim, Computational Linguistics Group, CoordinatorCLCG, Faculty of Arts, University of [email protected]
Language Data
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Language Data
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Language Data
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female or male?young or old?
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female or male?young or old?
Author Profiling
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How can we recognise
different authors?
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Authorship Attribution
How can we recognise
different authors?
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Emotion/Sentiment/Hate Speech detection
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Emotion/Sentiment/Hate Speech detection
SMS-RuG: Social Media Sensing group
https://sites.google.com/view/sms-rug
Machine Translation
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(Antonio Toral)
Machine Translation
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https://slator.com/technology/machine-translates-literature-and-about-25-was-flawless-research-claims/
(Antonio Toral)
Vision and Language
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• Social Virtual Reality
• Image descriptions
• Grounding meaning
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https://www.rug.nl/research/clcg/research/cl2017/
Malvina Nissim
Q&A
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Lorenzo Amabili
Q&A
Data Wise
A New Minor Programme about Data Science in Society
Data Wise Minor: factsheet
Anne Beaulieu (FSE) project developer/kwartiermakerInitiative from CIT (Stolk, Verheij, Smit)
Under development
For 3rd year bachelor students30ECTs (20ECT course units + 10ECTs project)
In EnglishExpected: 60 students/year
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Data Wise Minor: participants
University minorfrom all faculties
Multi-disciplinary teaching
Educating and training thosewho will work with data scientists
domain and interactional expertise and skills
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Data Wise Minor: topics and skills
• Data is not neutral
─ Data is not just found but created
─ Systems, institutions and platforms shape the data in deep ways, no raw data
• Data is work
─ data cannot just be understood or exist or circulate by itself
─ Data curation, access, meta-data
• Data can be creative
─ Big data is opportunity for diversifying input for knowledge
─ innovation, value of data
• Data matters
─ Data is often turned into metrics, used for decisions, can have impact; shapes identities and opportunities
─ Integrity, codes of conduct, recourse, regulation
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Data Wise Minor: elements
• Data Science in Society
• Data Creation, Access & Data flow
• Data Innovation
• Data Responsibility
• Data Project (10 ECTs)
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Data Wise Minor: form
Interdisciplinary problem-based learning
• from different faculties work in teams
• develop and apply academic knowledge in real-life contexts
• acquire new skills
• engage with public and private organisations
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Data Wise Minor: collaboration
Do you have
• existing courses or training
• interesting cases
• topics for student projects
• ideas or suggestions
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