swiss data science center hof… · & engineering. social science. economics. geology. env. ......
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Swiss Data Science Center
May 23, 2016
Thomas HofmannComputer Science, ETH Zurich
Slide credit:`
Markus Püschel, ETH ZurichEdouard Bugnion, EPF LausanneAndreas Krause, ETH Zurich
Outline
1. Data Science
2. Swiss Data Science Center
3. Research & Teaching
May 20, 2015 2Initiative for Data Science in Switzerland
May 20, 2015 Initiative for Data Science in Switzerland 3
Data scienceWhy now?
Confluence of enabling technologies:
Ubiquitous sensingDigitization
Cheap storageFast/efficient processors
Cloud computingAdvances in machine learning
DataScience
New applications:Understanding complex systemsModelingPrediction
inMedicineEnvironmental scienceHealth scienceSocial scienceEconomyBiology…
Data science: attacking previously unsolvable problems
May 20, 2015 Initiative for Data Science in Switzerland 4
Data scienceWhat is it?
Data Management
Machine Learning& Data Analytics
Security & Privacy
Information Systems& Cloud Computing
Programming
Models
Statistics
Computer Science Mathematics
Data science: the foundation for “understanding how the world works”• need for more research in CS (and Math)• need for more research at boundary CS/other disciplines
CS is in the center to enable the graphic, not because of megalomania
Material Science
Chemistry
Physics
Math
Mech.Eng.
ElectricalEng.
Biosystems& EngineeringBiologyMedicine
Social Science
Economics
Geology
Env.Science
HealthScience
Civil EngineeringArchitecture
Comp. basedengineering
Informationarchitecture
ModelingSimulations
High performancecomputing
Theory, Algorithms, Complexity, Graphics, Machine Learning
StatisticsOptimization
Geometry
SimulationsTechnolomics
Bio Informatics
AlgorithmsHigh performance
computing
Personalizedmedicine
Health datamanagement
Crisis prediction
Global healthsystems
Climatemodeling
World food systems
Genetic diversity
Social systems
Seismicmodeling,prediction
RoboticsComputer
Systems
Human ComputerInteraction
VirtualReality
Vision
Image processing
Security
SensorNetworks
Communication
Graphics
Scientific computing
ComputerScience
Macroeconomicsystems
CS is in the center to enable the graphic, not because of megalomania
Material Science
Chemistry
Physics
Math
Mech.Eng.
ElectricalEng.
Biosystems& EngineeringBiologyMedicine
Social Science
Economics
Geology
Env.Science
HealthScience
Civil EngineeringArchitecture
Comp. basedengineering
Informationarchitecture
ModelingSimulations
High performancecomputing
Theory, Algorithms, Complexity, Graphics, Machine Learning
StatisticsOptimization
Geometry
SimulationsTechnolomics
Bio Informatics
AlgorithmsHigh performance
computing
Personalizedmedicine
Health datamanagement
Crisis prediction
Global healthsystems
Climatemodeling
World food systems
Genetic diversity
Social systems
Seismicmodeling,prediction
RoboticsComputer
Systems
Human ComputerInteraction
VirtualReality
Vision
Image processing
Security
SensorNetworks
Communication
Graphics
Scientific computing
ComputerScience
Macroeconomicsystems
Data science: a new type of science!
MIT: announced April 2015
Initiative for Data Science in Switzerland 7
Data scienceElsewhere
NYU: Multi-million dollar initiative
Rochester: 100 M US$ data science
Berkeley data science institute
Cornell-Tech: 2 billion campus
Research/Studies (Master, PhD):• Computer science• Information systems• Business administration
May 20, 2015
Columbia: Hiring several dozen faculty
Alan Turing Institute (UK, 110 M US$ seed)
Data Science Overview - Carnegie Mellon UniversityMaster's of Science in Data Science (U of Minnesota)Data Science - School of Informatics and Computing (Indiana U)Data Science Institute - Columbia UniversityInstitute for Data Science : University of RochesterCenter for Data Science - New York UniversityUniversity of Warwick: BSc in Data ScienceData Science Institute - University of VirginiaData Science - University of San FranciscoData Science - University of Southern CaliforniaData Science Certificate - Harvard ExtensioData Science - University of GlasgowData Science - Kent State UniversityData Science Center Eindhoven (DSC/e)Major: Data Science | LSA Students | University of MichiganDelft University of Technology: The Data Science ... - TU DelftData Science - Computer Science Department (U Maryland)Data Science - UC Irvine ExtensionImperial and Zhejiang University launch data science ...Information & Data Sciences | Boston UniversityAnalytics and Data Science | University of Technology, SydneyData Science - Carleton UniversityMSc in Data Science at Heriot-Watt University, EdinburghData Science - University of St. ThomasData Science MSc at Lancaster UniversityThe Warren Center for Data & Network Sciences - U PennData Science Center - Tel Aviv UniversityData Science Center - U TwenteCentre for Doctoral Training in Data Science - U EdinburghData Science Research Center – AmsterdamWarwick Data Science Institute (WDSI) - University of WarwickParis-Saclay Center for Data ScienceErasmus Centre for Data Science and Business Analytics ...Data science: highly competitive, global talent pool, resources
Outline
1. Data Science
2. Swiss Data Science Center
3. Research & Teaching
May 20, 2015 8Initiative for Data Science in Switzerland
May 20, 2015 Initiative for Data Science in Switzerland 9
Swiss Data Science CenterMission
– Develop a network of data science support • work closely with research groups,• foster collaboration between users and data scientists.
– Offer end-to-end data science services • target the research community in Switzerland, • provide a set of software and platform stacks provided “as-a-Service”,• backed by academic and commercial cloud services.
– Develop standard agreements with private and commercial partners• get access to valuable, proprietary data for research purposes,• experiment with new platforms from commercial vendors.
– Create a data science community • gather users of data science and innovators in data science methods; • organize knowledge and tools produced by the community.
Swiss Data Science Center: much more than a Data Center!
May 20, 2015 Initiative for Data Science in Switzerland 10
Swiss Data Science CenterServices
Swiss Data Science Center (SDSC)
CSCS
SWITCH
SIBVital-IT
Life and medical sciences
EPFL ETH ZurichUniversities and Institutes
Social sciencesDigital humanities
Environmental sciences
Economics
IT platforms
Service centers
Commercial clouds
Research verticals
Deployment and operations
Core data science services
Embedded support
Embedded support
Embedded support
Embedded support
Embedded support
Projects Projects Projects Projects Projects
…
…
eSCT, …
May 20, 2015 Initiative for Data Science in Switzerland 11
Swiss Data Science CenterBusiness model
Research projects
Swiss Data Science Center (SDSC)
Infrastructure providers Scalability
Credits for pay-per-use services
Self-provisioning
Economies of scaleGrants
Sustained useof computing and storage
Transparency
OPEX
Moving from CAPEX to OPEX: economics of scale
May 20, 2015 Initiative for Data Science in Switzerland 12
Swiss Data Science CenterGovernance
Steering committee
- Representatives of the presidency of EPFL and ETH Zurich- Deans of computer science departments- Representative of the Research Institutes of the ETH Domain - SDSC academic and executive directors- SWITCH and CSCS directors- Two representatives of selected verticals
Operational committee
- SDSC Executive Director (EPFL)- SDSC academic co-directors- Representatives from academic providers (notably SWITCH
and CSCS)
Scientific advisory board
- Leading academics and practitioners in data science methods and applications
- Faculty members of international institutions with curricula in data science
ETH Board
EPFL ETH Zurich
SDSC
Starting up!
Outline
1. Data Science
2. Swiss Data Science Center
3. Research & Teaching
May 20, 2015 13Initiative for Data Science in Switzerland
May 20, 2015 Initiative for Data Science in Switzerland 14
Machine Learning & StatisticsMethodological Foundations
Scalabie Algorithms& Data Sketches
Making Sense of Data Causality from Data
Machine Learning in X (e.g. Medicine)
Grand Challenges:
1. Computation scalable algorithms and systems for massivley parametrized models
2. Automation: Programing languages for machine learning, model spec & validation
3. Theory: Drawing (correct) conclusions from data, discovery of causal relations
May 20, 2015 Initiative for Data Science in Switzerland 15
Data Management & Cloud ComputingInfrastructure Research
Intelligent Storage Engine
Data Center Observatory
Enterprise Computing Center
Operating Systemsfor Many-/Multicore
Grand Challenges:
1. Cloud Computing managing large, heterogeneous infrastruture for data-centric computing
2. Multicore Computing data processing architectures, GPUs, FPGAs, etc.
3. Engines, Accelerators and Tools
May 20, 2015 Initiative for Data Science in Switzerland 18
Data scienceTeaching demand is here
Number of students
3.5x in 4 years!
Students from 15 out of 16 ETH departments at inscription
0
200
400
600
800
1000
1200
1400
1600
10-11 11-12 12-13 13-14 14-15Academic years
ETHZ - Data Mining: Learning from Large Data Sets
EPFL - Pattern classification and machine learning
ETHZ - Introduction to Natural Language Processing
ETHZ - Probabilistic Artificial Intelligence
ETHZ - Statistical Learning Theory
ETHZ - Computational Intelligence Lab
ETHZ - Information Retrieval
EPFL - Big Data
ETHZ - Big Data
ETHZ - Machine Learning
EPFL - Internet analytics
ETHZ - Learning and Intelligent Systems (BSc)
• New Master in Data Science– 120 ECTS/2 years (enables catching up)– Start fall 2017, target: 100 students in steady state
• Curriculum – Foundations in computer science and statistics/optimization– Practical lab-style courses: get exposure to real (-world) data
• Requirement– Qualified faculty and teaching staff– Example ETH: 5 Faculty in Machine Learning / Data Science
May 20, 2015 Initiative for Data Science in Switzerland 19
Data Science: MScNew Master, curricula & courses
Data Science: A new computer science discipline to help solving some of the big problems of our time
Data Science: Massive investment worldwide
Swiss data science center:• computing/personnel infrastructure for
research across disciplines• governed by EPFL & ETH• investment in research & teaching• center of competence for CH• a beacon for the ETH domain• likely high longterm economic impact