About DAA


The Data Analysis in Astronomy Workshop series started in 1984 aiming to provide an updated overview of advanced methods and related applications to astronomy and astrophysics. It progressively enlarged its scope toward simulation and modelling, opening to three major branches of Science (Astrophysics, Biology and Earth Environment):

  1. Bullet 1984, emerging systems for Data Analysis; methodologies in image and signal analysis; Parallel Processing and Machine Vision.

  2. Bullet 1986, data handling for major satellites; data analysis for physical interpretation; artificial intelligence applications to astronomy

  3. Bullet 1988, novel data analysis (chaotic processes, galaxy chains via clustering, burst with adaptive growing) as frontiers in astrophysics

  4. Bullet 1991, review of large working experiments; comparison of data analysis systems; goals, problems, and results to experimental data

  5. Bullet 1996, data analysis problems in all fields, multi-wavelength approach; data fusion, information retrieval, high-speed computing.

  6. Bullet 2007, simulation and modelling; evolutionary computing; virtuality, learning, mining and interaction in astronomy and biology

The series strongly contributed to stimulate and enforce the scientific interaction between astrophysicists - and then other scientists - and experts in data analysis, who debated and compared results and methods, theory and experiments. The analysis of the interrelation together with the impact of new technologies and innovative design on fields such as Cosmology, Biology or Climatology cannot be else than a beneficial fallout of the initiative.

The International Consortium for Interdisciplinary Science (http://icis.unipa.it/organization.html) which contributes heavily to the present edition was created by Vito DiGesù after the successful 2007s edition.