The international Workshop on "Data Analysis in Astronomy" was in­ tended to give a presentation of experiences that have been acqui­ red in data analysis and image processing, developments and appli­ cations that are steadly growing up in Astronomy. The quality and the quantity of ground and satellite observations require more so­ phisticated data analysis methods and better computational tools. The Workshop has reviewed the present state of the art, explored new methods and discussed a wide range of applications. The topics which have been selected have covered the main fields of interest for data analysis in Astronomy. The Workshop has been focused on the methods used and their significant applications. Results which gave a major contribution to the physical interpre­ tation of the data have been stressed in the presentations. Atten­ tion has been devoted to the description of operational system for data analysis in astronomy. The success of the meeting has been the results of the coordinated effort of several people from the organizers to those who presen­ ted a contribution and/or took part in the discussion. We wish to thank the members of the Workshop scientific committee Prof. M. Ca­ paccioli, Prof. G.De Biase, Prof. G.Sedmak, Prof. A.Zichichi and of the local organizing committee Dr.R.Buccheri and Dr. M.C.Macca­ rone together with Miss P.Savalli and Dr. A.Gabriele of the E.Majo­ rana Center for their support and the unvaluable part in arranging the Workshop.

Data Analysis Methodologies.- The Data Analysis Facilities That Astronomers Want.- Time Analysis in Astronomy: Tools for Periodicity Searches.- Cluster Analysis by Mixture Identification.- Graphical Methods of Exploratory Data Analysis.- Faint Objects in Crowded Fields: Discrimination and and Counting.- Multivariate Statistics to Analyze Extraterrestial Particles from the Ocean Floor.- Statistical Analysis of Pulse Processes.- Application of Bootstrap Sampling in Gamma-ray Astronomy: Time Variability in Pulsed Emission from Crab Pulsar.- Binary Slice Fit Ellipticity Analysis.- An Automated Method for Velocity Field Analysis.- The Star Observation Strategy for HIPPARCOS.- Panel discussion on: Data Analysis Trends in X-ray and y-ray Astronomy.- Panel discussion on: Trends in Optical and Radio Data Analysis.- Systems for Data Analysis.- to Data Analysis Systems for Astronomy.- FIPS: Objectives and Achievements.- MIDAS.- Space Telescope Science Data Analysis.- NRAO's Astronomical Image Processing System (AIPS).- Astronet.- The CDCA Package: Past, Present and Future.- Design of a Pattern-Directed System for the Interpretation of Digitized Astronomical Images.- An Astronomical Data Analyzing Monitor.- RIAIP - A System for Interacting with Astronomical Images.- Experience Report on the Transportation of Software Systems in Connection with the Creation of MOTHER, the VAX/VMS version of the Groningen HERMES.- SAIA: A System for Astronomical Image Analysis.- A System for Deep Plate Analysis: An Overview.- The Groningen Image Processing System.- Panel discussion on Systems for Data Analysis: What They Are, What They Should be?.- Image Processing.- Astronomical Input to Image Processing, Astronomical Output from Image Processing.- Review Methodologies in Digital ImageProcessing.- 2-D Photometry.- Spectrometry.- Time Dependent Analysi s.- Morphological Analysis of Extended Objects.- Solar Image Processing With the Clark Lake Radioheliograph.- Display of Three-dimensional Data in Radioastronomy.- Data Compression Techniques in Image Processing for Astronomy..- Fast Digital Image Processing Algorithms and Techniques for Object Recognition and Decomposition.- Automatic Analysis of Crowded Fields.- DWARF: The Dwingeloo-Westerbork Astronomical Reduction Facility.- Parallel Processing.- Steps Toward Parallel Processing.- New Architectures for Image Processing.- Data Structures and Languages in Support of Parallel Image Processing for Astronomy.- Morphology and Probability in Image Processing.- Trend in Parallel Processing Applications.- Concluding Discussion.- Panel discussion on How Can Computer Science Contribute to the Solution of Problems Posed by Astronomers.