Office of Research

Data Driven Basic Science (interim 20130916)

Office of Research

Data Driven Basic Science

http://www.apsnet.org/edcenter/instcomm/TeachingArticles/Article%20Images/TPDD_fig01.jpg

• Problem sets (see next)• Short-term

• Disseminate; data, tools, expertise.

• Data platform• Data in the curriculum

• Long-term• Discovery, cognitive tools,

policy/ ethics, abduction!•Intelligent Data Infrastructure: all campuses

Office of Research

Enable inter-disciplinary science discovery in key research areasGetting data really into the loop - the loop is based on a variety of models and is iterative (must be convergent)

Rensselaer Data PlatformPull concepts from Digital Rensselaer, data.rpi.edu, othersAdopt RDA ratified standards, practices (and others)

Initiate robust data policy and data economics-related projectsPlace data in the curriculum (DATUM, CDS, others)

Digital Society and Digital meets RealityAdvance data-intensive computing (Blue Gene/Q++, software

applications, visual platforms, others)Inverse problems (using multi-modal data), scale variation, dealing with sample bias as a resultState of complexity as we traverse scales (perhaps gene/cell/tissue/organ/organism)Complex systems with incomplete data (sparse)Adjoint/ variational data-assimilation approaches in highly non-linear, heterogeneous, stiff systemsBig parameter spaces (~100 dim) change the game in Bayesian analysis. Huge computational undertakingStrategies for putting together data (adapting structure)…

Open-world uncertainty quantificationVisual analytics (new tools)New ways of organizing data (for “Data Discovery”)

Themes and …

Key challenges/approaches

Data Computing (addition to Academic Computing and Research Computing)

Opening up the data culture at RPI

Integrating with existing data facilities on campus

…

RDA = http://rd-alliance.org

Office of Research

BHAPs – next step…