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Non-traditional Collaborative Research Opportunities at US National Science Foundation

Non-traditional Collaborative Research Opportunities at US National Science Foundation. Fahmida N. Chowdhury Program Director, Cross-Directorate Activities Social, Behavioral and Economic Sciences fchowdhu@nsf.gov. Exciting Times for Multi-disciplinary Research.

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Non-traditional Collaborative Research Opportunities at US National Science Foundation

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  1. Non-traditional Collaborative Research Opportunities at US National Science Foundation Fahmida N. Chowdhury Program Director, Cross-Directorate Activities Social, Behavioral and Economic Sciences fchowdhu@nsf.gov

  2. Exciting Times for Multi-disciplinary Research • Mathematical and Physical Sciences (interface with computer sc) http://www.nsf.gov/pubs/2007/nsf07534/nsf07534.htm • Engineering – Emerging frontiers in research and innovation (EFRI)http://www.nsf.gov/staff/staff_list.jsp?org=EFRI&from_org=EFRI • Social Behavioral and Economic Sciences – From human learning to machine learning http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5567&from=fund • Cross-directorate activities http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5412&org=NSF&sel_org=NSF&from=fund • Cognitive neuroscience http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=5316&org=NSF&sel_org=NSF&from=fund

  3. Exciting Times for Multi-disciplinary Research Engr + comp sc + psych Econ + math + contr syst Neurosc + signal proc + ANN Social netwk + complexity sc + ANN Info theory + math + signal proc Behav sc + fuzzy logic + linguist modeling Feedback contr + syst biology Organiz behav + dyn syst …

  4. Exciting Times for Multi-disciplinary Research Can work on large, difficult problems, such as Reverse engineering the brain Climate research Public health applications such as obesity research, epidemeology, medical informatics Economic and financial applications Science and innovation policy Bio-inspired engineering applications Adaptive systems technology … and many more …

  5. Cyber-Enabled Discovery and Innovation (CDI) • Multi-disciplinary research seeking contributions to more than one area of science or engineering, by innovation in, or innovative use of computational thinking http://www.nsf.gov/pubs/2007/nsf07603/nsf07603.htm This is a Foundation-wide activity, where Computational Intelligence community can find many opportunities to join multi-disciplinary teams for high-impact research.

  6. Three CDI Themes CDI seeks transformative research in the following general themes, via innovations in, and/or innovative use of, computational thinking: • From Data to Knowledge:enhancing human cognition and generating new knowledge from a wealth of heterogeneous digital data; • Understanding Complexity in Natural, Built, and Social Systems:deriving fundamentalinsights onsystems comprising multiple interacting elements;  and • Building Virtual Organizations:enhancing discovery and innovation bybringing people and resources together across institutional, geographical and cultural boundaries. 

  7. Complexity Theme in CDI Initiative “This theme promotes the exploration and modeling of natural interactions, connections, complex relations, and interdependencies, … from the individual to the societal, across time, in order to understand, mimic, synthesize, and exploit complex systems.”

  8. Simple things can be made complex … • As you raise spoon of soup: • spoon pulls a string • (B) thereby jerking ladle • (C) which throws cracker • (D) past the parrot • (E) the parrot jumps after cracker • (F) Perch tilts • (G) upsetting seeds in to pail • (H) Extra weight in pail pulls cord • (I) which opens and lights automatic cigar lighter • (J) setting off sky-rocket • (K) which causes sickle • (L) to cut string • (M) and allow pendulum with attached napkin to swing back and forth thereby wiping off your chin. Rube Goldberg

  9. Simple things can be made complex … Our challenge is to tame complex systems!

  10. Adaptive Dynamic Programming (ADP) Neuromorphic Engineering AIS: Adaptive & Intelligent Systems For priorities in ADP and related areas, see papers & presentations site for NSF workshops (2002, 2006)at www.eas.asu.edu/~nsfadpand materials at www.werbos.com. “Related” includes prediction… PJW

  11. Main Goal for Neural Networks In Future Research: Unified General-Purpose Intelligence Feedback on Quality of Performance Adaptive Hardware-Friendly Distributed Network Of Computations Many Sensors Decision & Action: Many Actuators Information To Support Human Decisions PJW

  12. Cognitive Computational Intelligence: new 100m yuan program in China Prediction Memory . . . Clustering Optimization PJW

  13. Key Timely Technical Challenges:Enhance concrete new systems concepts for managing complexity & insert into adaptive optimization • Can we (and do brains) do better than 2nd gen brain in handling greater spatial & temporal complexity, by new designs & exploiting unspecialized but structured prior information to get faster/better learning? • What is our answer to AI’s “spatial/temporal chunking” & stochastic search? • All 3 demand more attention and work!!! New systems approaches, new devices and testbeds make spatial complexity very timely. Creativity/Imagination Spatial Complexity Temporal Complexity (Multiple Time-Intervals) PJW

  14. Our Friends at the US National Institutes of Health (NIH) also Looking for Collaborative Research with Computational Types! Joint NSF/NIH Workshop on CyberInfrastructure in Behavioral Medicine, March 31, 2008, San Diego, CA http://guest.cvent.com/EVENTS/Info/Summary.aspx?e=69ee1148-d4f7-4dd8-b6e9-876077a50422 All the presentations available on the web site

  15. NIH Systems Science Activities 2007 Symposia Series on Systems Science and Health A primer on Systems Science. Four two-hour lectures available via videocast. Topics covered: Systems Thinking, Network Analysis, Agent Based Modeling, System Dynamics Modeling BSSR-Systems Science listserv For those at the intersection of behavioral and social sciences research and systems science   It is *NOT* a discussion list – it is a one-way communication tool used for dissemination from NIH Items of interest disseminated to this community via the listserv include: funding announcements, articles, lectures, and conferences.   For both: send email to mabryp@od.nih.gov

  16. Examples of NIH Modeling Initiatives Cancer Intervention and Surveillance Modeling Network (CISNET): http://cisnet.cancer.gov/about/ Interagency Modeling and Analysis Group (IMAG): http://www.imagwiki.org/mediawiki NIBIB: Predictive Multiscale Models of the Physiome in Health and Disease (R01) http://grants.nih.gov/grants/guide/pa-files/PAR-08-023.html Models of Infectious Disease Agent Study (MIDAS): http://www.nigms.nih.gov/Initiatives/MIDAS NIGMSProposal to Reannounce the NIGMS MIDAS Program (Models of Infectious Disease Agent Study): http://www.nigms.nih.gov/Initiatives/MIDAS/reannouncement.htm

  17. Examples of NIH Funding in Systems Science Behavioral and Social Science Research on Understanding and Reducing Health Disparities (R01) - see section on Systems Science Methodologies http://grants.nih.gov/grants/guide/pa-files/PAR-07-379.html Notice of Intent to Publish Program Announcement with Special Review to Support Projects Using Systems Science Methodologies to Protect and Improve Population Healthhttp://grants.nih.gov/grants/guide/notice-files/NOT-OD-08-068.html For more info: Patty Mabry, Ph.D., mabryp@od.nih.gov

  18. Two Other Contacts Patricia L. Mabry, Ph.D.Office of Behavioral and Social Sciences Research (OBSSR) at NIHmabryp@od.nih.gov http://obssr.od.nih.gov Paul J. Werbos, Ph.D. Power, Control and Adaptive Networks pwerbos@nsf.govwww.werbos.com703-292-8339

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