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Some Background for our Deliberations
Daniel E. Atkins
Professor of Information and EECS
University of Michigan
Ann Arbor
Symposium on Knowledge Environments for Science: Past, Present and Future
Symposium on Knowledge Environments for Science:
Past, Present and Future
Enabling and Motivating Trends
• digital convergence• structured• processable
Push Pull
Enabling and Motivating a CI InitiativeASC PACI’s
Pittsburgh TCS
Distributed Terascale Facility
Some ITR Projects
Digital Library Initiatives
Networking Initiatives
Middleware Initiatives
Other CISE Research
Cyber- Infrastructure
Initiative
Initiatives in non-CISE Directorates
NSB Research Infrastructure Review
Initiatives in DOE, NIH, DOD, NASA, …
International Initiatives: UK e-science,Earth Simulator, EU Grid & 6th Framework
Scientific Data Collection/Curation
Collaboratories
Symposium on Knowledge Environments for Science:
Past, Present and Future
Computational
Ubiquitous appliances
Symposium on Knowledge Environments for Science:
Past, Present and Future
Content Digital everything; exponential growth; conversion and born-digital. S&E literature is digital. Microfilm-> digital for preservation. Digital
libraries are real and getting better. Distributed (global scale), multi-media, multi-disciplinary
observational. Huge volume.
Need for large-scale, enduring, professionally managed/curated data repositories. Increasing demand for easier finding, reuse: data mining, interdisciplinary data federation.
New modes of scholarly communication: what’s publishing? what’s a publication?
IP, openness, ownership, privacy, security issues
Symposium on Knowledge Environments for Science:
Past, Present and Future
Interactivity Networking - machine to machine Interfaces - human to machine Smart sensors, instruments, arrays -
machine to physical world Organizational - Interactive distributed
systems systems; knowledge (work) environments; virtual communities.
Organizational Interactivity: Knowledge Environments for Science, Streams of Activity
GRIDS (broadly defined)
E-science
CI-enabled Science & Engineering Research & Education
Science-driven pilots (not using above labels)
ITFRU Scholarly communicationin the digital age
Web-servicesSemantic Web
Co-laboratory, collaboratoryVirtual communities
LIGO
ATLAS and CMS
NVO and ALMA
The number of nation-scale projects is growing rapidly!
Climate Change
Cyberinfrastructure Enabled Science
Four LHC Experiments: The Petabyte to Exabyte Challenge
ATLAS, CMS, ALICE, LHCBHiggs + New particles; Quark-Gluon Plasma; CP Violation
Data storedData stored ~40 Petabytes/Year and UP; ~40 Petabytes/Year and UP; CPU CPU 0.30 Petaflops and UP 0.30 Petaflops and UP
0.1 to 1 Exabyte (1 EB = 100.1 to 1 Exabyte (1 EB = 101818 Bytes) Bytes) (2007) (~2012 ?) for the LHC Experiments(2007) (~2012 ?) for the LHC Experiments
Carbon Assimilation
CO2 CH4
N2O VOCsDust
HeatMoistureMomentum
ClimateTemperature, Precipitation,Radiation, Humidity, Wind
ChemistryCO2, CH4, N2Oozone, aerosols
MicroclimateCanopy Physiology
Species CompositionEcosystem StructureNutrient AvailabilityWater
DisturbanceFiresHurricanesIce StormsWindthrows
EvaporationTranspirationSnow MeltInfiltrationRunoff
Gross Primary ProductionPlant RespirationMicrobial RespirationNutrient Availability
Ecosystems
Species CompositionEcosystem Structure
Watersheds
Surface WaterSubsurface WaterGeomorphology
Biogeophysics
Ene
rgy
Wat
er
Aer
o-dy
nam
ics
Biogeochemistry
MineralizationDecomposition
Hydrology
Soi
l W
ater
Sno
w
Inte
r-ce
pted
Wat
er
Phenology
Bud Break
Leaf Senescence
HydrologicCycle
VegetationDynamics
Min
ute
s-T
o-H
ou
rsD
ays-
To
-Wee
ks
Yea
rs-T
o-C
en
turi
esComponents Of Terrestrial Biogeoscience
Gordon Bonan
Network for Earthquake Engineering Simulation
Field Equipment
Laboratory Equipment
Remote Users
Remote Users
High-Performance Network(s)
Instrumented Structures and Sites
Leading Edge Computation
Curated Data Repository
Laboratory EquipmentGlobal Connections
Symposium on Knowledge Environments for Science:
Past, Present and Future
A Single Facility at Sondrestrom, Greenland
Symposium on Knowledge Environments for Science:
Past, Present and Future
UARC Interface
team chat
dynamic work rooms
Real-time ground instruments Archival data Journals
instrumentscomputational models
an
no
tati
on
Se
ssio
n r
ep
lay
Symposium on Knowledge Environments for Science:
Past, Present and Future
Evolved into a Facilities Network (global instrument)
Symposium on Knowledge Environments for Science:
Past, Present and Future
UARC Patterns of Communication
Symposium on Knowledge Environments for Science:
Past, Present and Future
Vignettes from UARC/SPARC Shared, tele-instruments
& expertise. Rapid response,
opportunistic campaigns. Multi-eyes,
complementary expertise. Isolated instruments to
global instrument chain. Cross-mentoring/training. New & earlier
opportunities/exposure for grad students.
Enhanced participation. Legitimate peripheral participation.
Support for authentic, inquiry-based learning at UG and pre-college level.
Distributed data analysis workshops
Session re-play for delayed participation.
Data-theory closure. Living specification to stretch
visions.
Symposium on Knowledge Environments for Science:
Past, Present and Future
Preparing for the Revolution (ITFRU)
Both available at www.nap.edu
Symposium on Knowledge Environments for Science:
Past, Present and Future
Comprehensive & synergistic view of ITFRU
Symposium on Knowledge Environments for Science:
Past, Present and Future
Some Issues Feedback loop between advanced computation and need
to interdisciplinary collaboration, data and model federation. Activities can use 4 different variations of same and
different, time and place. What activities in a knowledge process fit best where?
“Distance matters” but technology can make it “better than being there.”
Functional completeness; thresholds for adoption. Potential for capture and mining of process, not just output
of a collaboration. Educational needs; educational impact.
Symposium on Knowledge Environments for Science:
Past, Present and Future
“Borromean Ring*” teams needed for successful KES.
*Three symmetric, interlocking rings, no two of which are interlinked. Removing one destroys the synergy.
Disciplinary,multi-disciplinaryresearch communities
People & Society
Social & Behavioral Sciences
Computer & Information, Science& Engineering
Iterative, participatory design; collateral learning.
Symposium on Knowledge Environments for Science:
Past, Present and Future
Are we at a special point in time?
• digital convergence• structured• processable
Symposium on Knowledge Environments for Science:
Past, Present and Future
“Virtual” definition 1. Existing or resulting in essence or effect though not in actual
fact, form, or name: the virtual extinction of the buffalo. 2. Existing in the mind, especially as a product of the imagination. Used in literary criticism of a text. 3. Computer Science Created, simulated, or carried on by means of a computer or computer network: virtual conversations in a chatroom.
Symposium on Knowledge Environments for Science:
Past, Present and Future
“Virtual” usage notes When virtual was first introduced in the computational sense, it applied to things simulated by the computer, like virtual memory
—that is, memory that is not actually built into the processor. Over time, though, the adjective has been applied to things that really exist and are created or carried on by means of computers. Virtual conversations are conversations that take place over computer networks, and virtual communities are genuine social groups that assemble around the use of e-mail, webpages, and other
networked resources. •The adjectives virtual and digital and the prefixes e- and cyber- are all used in various ways to denote things, activities, and organizations that are realized or carried out chiefly in an electronic medium. There is considerable overlap in the use of these items: people may speak either of virtual communities or of cybercommunities and of e-cash or cybercash. To a certain extent the choice of one or another of these is a matter of use or convention (or in some cases, of finding an unregistered brand name). But there are certain tendencies. Digital is the most comprehensive of the words, and can be used for almost any device or activity that makes use of or is based on computer technology, such as a digital camera or a digital network. Virtual tends to be used in reference to things that mimic their “real” equivalents. Thus a digital library would be simply a library that involves information technology, whether a brick-and-mortar library equipped with networked computers or a library that exists exclusively in electronic form, whereas a virtual library could only be the latter of these. The prefix e- is generally preferred when speaking of the commercial applications of the the Web, as in e-commerce, e-cash, and e-business, whereas cyber- tends to be used when speaking of the computer or of networks from a broader cultural point of view, as in cybersex, cyberchurch, and cyberspace. But like everything else in this field, such usages are evolving rapidly, and it would be rash to try to predict how these expressions will be used in the future.
The American Heritage® Dictionary of the English Language, Fourth Edition. Copyright © 2000 by Houghton Mifflin Company.