Theory:1. Foundations of Distributed Source Coding (Krishnan Eswaran and Michael Gastpar, UC Berkeley)2. Distributed transform coding (Varit Chaisinthop and Pier Luigi Dragotti, Imperial College London)3. Quantization for Distributed Source Coding (David Rebollo-Monedero, Universitat Politecnica de Catalunya, and Bernd Girod, Stanford University)4. Zero-error Distributed Source Coding (Ertem Tuncel, Jayanth Nayak, UC at Riverside, Kenneth Rose, UC at Santa Barbara)5. Distributed Coding of Sparse Signals (Vivek Goyal, Massachusetts Institute of Technology, Alyson Fletcher, University of California, Berkeley, Sundeep Rangan, Qualcomm Technologies, Inc.)Algorithms and Applications:1. Towards constructive Slepian-Wolf coding schemes (Christine Guillemot and Aline Roumy, INRIA, France)2. Distributed Compression in Microphone Array (Olivier Roy, T. Ajdler, R. Konsbruck and Martin Vetterli, Swiss Federal Institute of Technology)3. Distributed Video Coding: Basics, Codecs and Performance (Fernando Pereira, Catarina Brites, João Ascenso, IST, Portugal)4. Model Based Multi-view Video Compression using Distributed Source Coding Principles (Jayanth Nayak, Bi Song, Ertem Tuncel and Amit Roy Chowdhury, University of California at Riverside)5. Distributed Compression of Hyperspectral Imagery (Ngai-Man Cheung and Antonio Ortega, University of South California)6. Securing Biometric Data (Anthony Vetro, Mitsubishi Electric Research Labs (MERL), Stark Draper, Univ Wisconsin-Madison, Shantanu Rane, MERL, Jonathan Yedidia, MERL)