Science & Technology Centers Program National Science Foundation Science & Technology Centers Program Bryn Mawr Howard MIT Princeton Purdue Stanford UC.

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Science & Technology Centers Program National Science Foundation Science & Technology Centers Program Bryn Mawr Howard MIT Princeton Purdue Stanford UC Berkeley UC San Diego UIUC External Advisory Board Visit 2011

Science & Technology Centers Program 1.Science of Information 2.Center Mission 1.Integrated Research 2.Education and Diversity 3.Knowledge Transfer 3.Management Structure 1.STC Team 2.STC Staff 3.Management Chart 4.Budget 2

Science & Technology Centers Program The Information Revolution started in 1948, with the publication of: A Mathematical Theory of Communication. The digital age began. Claude Shannon: Shannon information quantifies the extent to which a recipient of data can reduce its statistical uncertainty. “semantic aspects of communication are irrelevant...” Applications Enabler/Driver: CD, iPod, DVD, video games, Internet, Facebook, WiFi, mobile, Google,.. Design Driver: universal data compression, voiceband modems, CDMA, multiantenna, discrete denoising, space-time codes, cryptography,... 3

Science & Technology Centers Program 4 Three Theorems of Shannon Theorem 1 & 3. [Shannon 1948; Lossless & Lossy Data Compression] compression bit rate ≥ source entropy H(X) for distortion level D: lossy bit rate ≥ rate distortion function R(D) Theorem 2. [Shannon 1948; Channel Coding] In Shannon’s words: It is possible to send information at the capacity through the channel with as small a frequency of errors as desired by proper (long) encoding. This statement is not true for any rate greater than the capacity.

Science & Technology Centers Program 5 1.Back off from infinity (Ziv’97): Extend Shannon findings to finite size data structures (i.e., sequences, graphs), that is, develop information theory of various data structures beyond first-order asymptotics. Claim: Many interesting information-theoretic phenomena appear in the second-order terms. 2.Science of Information : Information Theory needs to meet new challenges of current applications in biology, communication, knowledge extraction, economics, … To understand new aspects of information in: structure, time, space, and semantics, and dynamic information, limited resources, complexity, representation- invariant information, and cooperation & dependency.

Science & Technology Centers Program Structure: Measures are needed for quantifying information embodied in structures (e.g., information in material structures, nanostructures, biomolecules, gene regulatory networks, protein networks, social networks, financial transactions); [Y. Choi & W.S., 2010, A. Grama] [A. Goldsmith, P.R. Kumar, S. Verdu, D. Tse, V. Anantharam]

Science & Technology Centers Program 7 Other related aspects of information: Limited Computational Resources: In many scenarios, information is limited by available computational resources (e.g., cell phone, living cell); [M. Sudan, T. Cover] (streaming algorithms) Representation-invariance: How to know whether two representations of the same information are information equivalent? Cooperation & Dependency: How does cooperation impact information (nodes should cooperate in their own self-interest)? [T. Cover, D. Tse]

Science & Technology Centers Program Manfred Eigen (Nobel Prize, 1967) “The differentiable characteristic of the living systems is Information. Information theory, pioneered by Claude Shannon, cannot answer this question... in principle, the answer was formulated 130 years ago by Charles Darwin”. P. Nurse, (Nature, 2008, “Life, Logic, and Information”): Focusing on information flow will help to understand better how cells and organisms work.... spatial and temporal order, cell memory and reproduction are not fully understood. A. Zeilinger (Nature, 2005)... reality and information are two sides of the same coin, that is, they are in a deep sense indistinguishable. C. Bennett (Logical depth, 1988): ``From the earliest days of information theory it has been appreciated that information is not a good message value.’’ … Value of message lies in ``parts predictable only with difficulties, things that receiver could figure out without being told …’’

Science & Technology Centers Program 1.Science of Information 2.Center Mission 1.Integrated Research 2.Education and Diversity 3.Knowledge Transfer 3.Management Structure 1.STC Team 2.STC Staff 3.Management Chart 4.Budget 9

Science & Technology Centers Program Advance science and technology through a new quantitative understanding of the representation, communication and processing of information in biological, physical, social and engineering systems. Some Specific Center’s Goals: define core theoretical principles governing transfer of information, develop metrics and methods for information, apply to problems in physical and social sciences, and engineering, offer a venue for multi-disciplinary long-term collaborations, explore effective ways to educate students, train the next generation of researchers, broaden participation of underrepresented groups, transfer advances in research to education and industry. 10

Science & Technology Centers Program 11 Research Thrusts: 1. Information Flow in Biology 2. Information Transfer in Communication 3. Knowledge Management: Extraction, Computation & Physics S. Subramaniam A. Grama V. Anantharam T. Weissman S. Kulkarni M. Atallah Create a shared intellectual space, integral to the Center’s activities, providing a collaborative research environment that crosses disciplinary and institutional boundaries.

Science & Technology Centers Program 12 Research Thrust 1 (UCSD, Purdue, Berkeley, Stanford, Princeton)

Science & Technology Centers Program 13 Research Thrust 2 Communication 1.Delay in Information Theory a. Quantifying the temporal value of information b. Information theory for finite block lengths c. Tradeoffs between delay, distortion, and reliability in feedback systems 2.Information and computation a.Quantifying fundamental limits of in-network computation, and the computing capacity of networks for different functions b.Complexity of distributed computation in wireless and wired networks c.Information theoretic study of aggregation for scalable query processing in distributed databases 3.New measures and notions of information a.Soft-information (beliefs) in rate distortion theory b.Semantics in information: framework, probabilistic modeling c.Modern communication networks 4.Interface with life sciences thrust a.Furthering our information theoretic understanding of deletion, substitution, and insertion channels b.Information theoretic models for evolution c.Models for stimuli d.Communication models for intra-neuron signaling e.Models to predict the behavior of various systems, ranging from intra-cellular signaling, to tissues, individuals, colonies, and ecosystems (Princeton, Stanford, Berkeley, MIT, UIUC, Purdue)

Science & Technology Centers Program 14 Research Thrust 3 Knowledge Management (MIT, Princeton, Purdue, Stanford) 1.Foundations of Learning, Inference, and Decision-Making a.Learnable information and information relevance b.Distributed learning c.Dynamics and control d.Robustness 2.Privacy, Security, and Anonymity a.Collaborative versus competitive computing learning b.Scattered and hidden data c.Quantification 3.Data Reduction a.Manifold learning b.Discovering relevant information c.Scalable methods d.Noisy, heterogeneous, distributed data 4.Application thrusts a.Social networks b.Biological systems c.Economics d.Environmental modeling

Science & Technology Centers Program 15 Opportunistic Research Workshops Kickoff Workshop – Chicago, IL – October 6-7, 2010 (28 STC participants and students) 1. Allerton Workshop, IL – September 28, 2010 (T. Coleman, S. Verdu, A. Goldsmith, P.R. Kumar, D. Tse, W. Szpankowski, students) 2. Stanford Workshop – Palo Alto, CA – January 24, 2011 (Princeton – Stanford –Berkeley) (G. Bejerano, T. Cover, J. Gallant, A. Goldsmith, R. Rwebangira, G. Seroussi (HPL), W. Szpankowski, D. Tse, S. Verdu, M. Weinberger (HPL), T. Weissman, Bin Yu) 3. UC San Diego Workshop – February 11, 2011 (Berkeley – UCSD) (O. Milenkovic, W. Szpankowski, S. Subramaniam, Bin Yu, students) 4. Princeton Workshop – May 13, 2011 (Princeton – Purdue) (B. Bialek, Y. Baryshnikov, R. Rwebangira, C. Sims, W. Szpankowski, S. Verdu) 5. Purdue Workshop – September 9, 2011 (Berkeley – UCSD – Purdue) 6. Allerton Workshop – September 27, 2011

Science & Technology Centers Program 16 D. Kumar M. Ward B. Ladd Integrate cutting-edge, multidisciplinary research and education efforts across the center to advance the training and diversity of the work force Summer School, Purdue, May 2011 HONR 399: Intro to Science of Information

Science & Technology Centers Program Industrial affiliate program in the form of consortium: Considerable intellectual resources Access to students and post-docs Access to intellectual property Shape center research agenda Solve real-world problems Industrial perspective Knowledge Transfer Director: Ananth Grama (Industrial Workshop, Purdue, April, 2011) 17 Develop effective mechanism for interactions between the center and external stakeholder to support the exchange of knowledge, data, and application of new technology.

Science & Technology Centers Program 1.Science of Information 2.Center Mission 1.Integrated Research 2.Education and Diversity 3.Knowledge Transfer 3.Management Structure 1.STC Team 2.STC Staff 3.Management Chart 4.Budget 18

Science & Technology Centers Program Bryn Mawr College: D. Kumar Howard University: C. Liu, L. Burge MIT: P. Shor (co-PI), M. Sudan Purdue University (lead): W. Szpankowski (PI) Princeton University: S. Verdu (co-PI) Stanford University: A. Goldsmith (co-PI) University of California, Berkeley: Bin Yu (co-PI) University of California, San Diego: S. Subramaniam UIUC: P.R. Kumar, O. Milenkovic. Bin Yu, U.C. Berkeley Sergio Verdú, Princeton Peter Shor, MIT Andrea Goldsmith, Stanford Wojciech Szpankowski, Purdue 19 R. Aguilar, M. Atallah, C. Clifton, S. Datta, A. Grama, S. Jagannathan, A. Mathur, J. Neville, D. Ramkrishna, J. Rice, Z. Pizlo, L. Si, V. Rego, A. Qi, M. Ward, P. Grobstein, D. Blank, M. Francl, D. Xu, C. Liu, L. Burge, M. Garuba, S. Aaronson, N. Lynch, R. Rivest, W. Bialek, S. Kulkarni, C. Sims, G. Bejerano, T. Cover, T. Weissman, V. Anantharam, I. Fung, J. Gallant, C. Kaufman, D. Tse, T.Coleman. Executive Committee: A. Grama, P.R. Kumar, A. Goldsmith, D. Kumar, S. Subramaniam, P. Shor, S. Verdu, V. Anantharam or B. Yu.

Science & Technology Centers Program Twelve members of National Academies (NAS/NAE) -- Cover, Lynch, Fung, Janson, Kumar, Ramkrishna, Rice, Rivest, Shor, Sims, Verdu, Ziv. Turing award winner (the highest distinction in Computer Sciences) -- Rivest. Three Shannon award winners (the highest distinction in Information Theory) - - Cover, Ziv, and Verdu. Two recipients of the Nevanlinna Prize (awarded every 4 years at the International Congress of Mathematicians, for outstanding contributions in Mathematical Aspects of Information Sciences) -- Sudan and Shor. A Humboldt Research Award -- Szpankowski. 20

Science & Technology Centers Program 21

Science & Technology Centers Program Director – Wojciech Szpankowski Managing Director – Bob Brown Education Director – Brent Ladd Diversity Director* – Deepak Kumar Multimedia Specialist – Mike Atwell Administrative Asst. – Mari-Ellyn Brock Administrative Asst. Mari-Ellyn Brock Multimedia Specialist Mike Atwell Education Director Brent Ladd Bob Brown Managing Director Wojciech Szpankowski, Purdue 22

Science & Technology Centers Program 23 Director Wojciech Szpankowski Director Wojciech Szpankowski External Advisory Committee J. Gibson, J. Bruck, M. Guzdial, J.F. Frias, A. Karlin, W. Levy, N. Schroff Executive Committee A. Grama, PR Kumar, A. Goldsmith, D. Kumar, S. Subramaniam, P. Shor, S. Verdu, B. Yu Executive Committee A. Grama, PR Kumar, A. Goldsmith, D. Kumar, S. Subramaniam, P. Shor, S. Verdu, B. Yu Vice President for Research Purdue University Vice President for Research Purdue University Internal Management Committee J. Rice, Z. Pizlo, D. Ramkrishna, M.D. Ward Knowledge Transfer A. Grama Knowledge Transfer A. Grama Diversity Interim Director: D. Kumar Diversity Interim Director: D. Kumar Education Director: B.T. Ladd Education Director: B.T. Ladd Managing Director B. Brown Multimedia Specialist M. Atwell Administrative Assistant M.E. Brock Managing Director B. Brown Multimedia Specialist M. Atwell Administrative Assistant M.E. Brock Technical Thrusts Communication T. Weissman Communication T. Weissman Knowledge S. Kulkarni Knowledge S. Kulkarni Biology S. Subrmaniam Biology S. Subrmaniam Associate Directors A. Grama, D. Kumar, M. D. Ward Associate Directors A. Grama, D. Kumar, M. D. Ward

Science & Technology Centers Program 1.Science of Information 2.Center Mission 1.Integrated Research 2.Education and Diversity 3.Knowledge Transfer 3.Management Structure 1.STC Team 2.STC Staff 3.Management Chart 4.Budget 24

Science & Technology Centers Program $5M/year : Student Support (46/year)Post Docs (5/year) Faculty Support (49/year)Visitors & Collaborators Education DirectorDiversity Director Managing Director Administrative Assistance TravelWorkshops Advisory Committee Meetings Cost Sharing: Students, Faculty Support, HUBZero, Managing Director, Space

Science & Technology Centers Program