The nation's increasing dependence on infrastructure services, including transportation, energy, water, and communications, has increased the potential impact of adverse events that cause these systems to fail, with associated consequences for economic competiveness and societal well-being. Risks include extreme natural events, malicious attack, and technological failure. NSF supports research aimed toward improving predictability, assessing risk, and increasing resilience in order to reduce the impact of extreme events on society. NSF investments focus on fundamental science and engineering issues, such as understanding the dynamical processes that produce extreme events, how people respond to extreme events, and how to engineer resilient infrastructure.

The complex set of interdependencies between the components of an interconnected set of critical infrastructures presents significant challenges to conceptualize, understand, model, design, and manage. The Critical Resilient Interdependent Infrastructure Systems and Processes (CRISP) program supports fundamental research that addresses this complex, interdependent system of infrastructure services. CRISP aims to: (1) foster an interdisciplinary research community of engineers, computer and computational scientists, and social and behavioral scientists in design and operation of infrastructure processes and services; (2) enhance understanding and design of Interdependent Critical Infrastructure systems (ICIs) that provide essential goods and services despite disruptions and failures; (3) create the knowledge for innovation in ICIs to safely, securely, and effectively expand the range of goods and services they enable; and (4) improve the effectiveness and efficiency with which ICIs deliver existing goods and services.

Natural disasters cause thousands of deaths and billions of dollars in damage annually. Improved fundamental scientific understanding of natural processes underlying natural hazards and extreme events, together with improved quantitative models and qualitative research, can enhance societal preparedness and resilience against such events. The Prediction of and Resilience against Extreme Events (PREEVENTS) program aims to (1) enhance understanding of the fundamental processes underlying geohazards and extreme events on various spatial and temporal scales, as well as the variability inherent in such hazards and events; (2) improve models of geohazards, extreme events, and their impacts on natural, social, and economic systems; and (3) develop new tools to enhance societal preparedness and resilience against such impacts.


NSF provides support for a broad range of fundamental research activities that provide deeper understanding of climate science issues, including those that form the scientific basis for climate-related policy. High priorities include: data assimilation and analysis; predictability at different temporal and spatial scales; improved understanding of Earth system processes and of feedbacks between ecosystems and the physical climate; and the development of advanced analytic research methods for observations and for models. Understanding climate change and how it will affect the Earth requires the development and application of next-generation Earth System Models that include coupled and interactive representations of such components as ocean and atmospheric circulation, agricultural working lands and forests, biogeochemistry, atmospheric chemistry, the water cycle, and land ice.

Disciplinary programs in the NSF Directorate for Geosciences and the Division of Mathematical Sciences remain interested in new proposals that address the above aims, and queries should be directed to appropriate program directors. Other NSF programs supporting research in these areas include Long-Term Ecological Research (LTER) as well as others featured on the Mathematical Sciences Innovation Incubator (MSII) web page listed previously.

For the most recent information on many of these and other programs, please see the funding opportunities listed under "Clean Energy," "Earth Observations," "Global Climate Change," and "Research and Development for Informed Policy-Making and Management" on the aforementioned web page for the Mathematical Sciences Innovation Incubator (MSII) activity [www.nsf.gov/funding/pgm_summ.jsp?pims_id=505044]. Investigators with questions about these programs are encouraged to contact the DMS program directors listed below.

Michael Vogelius
Division Director
Division of Mathematical Sciences

* INFEWS: Frederi Viens, telephone: (703) 292-2858, email: fviens@nsf.gov

* PREEVENTS/CRISP/LTER: Junping Wang, telephone: (703) 292-4488, email: jwang@nsf.gov

* Global Change and Earth Systems Modeling: Michael Steuerwalt, telephone: (703) 292-4860, email: msteuerw@nsf.gov

* Other programs featured via the MSII activity:
-- Lora Billings, telephone: (703) 292-9970, email: lbilling@nsf.gov
-- Mary Ann Horn, telephone: (703) 292-4879, email: mhorn@nsf.gov
-- Andrew Pollington, telephone: (703) 292-4878, email: adpollin@nsf.gov
-- Victor Roytburd, telephone: (703) 292-8584, email: vroytbur@nsf.gov
-- Gabor Szekely, telephone: (703) 292-8869, email: gszekely@nsf.gov
-- Jacques Verstraete, telephone: (703) 292-2189, email: jverstra@nsf.gov


This document is also available online at [http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf16042](http://www.nsf.gov/publications/pub_summ.jsp?ods_key=nsf16042)