Workshop Announcement: ---------------------------------------------------------------- Effective Randomness ---------------------------------------------------------------- August 7 to August 11, 2006 American Institute of Mathematics Research Conference Center Palo Alto, California http://aimath.org/ARCC/workshops/randomness.html ------------ Description: ------------ This workshop, sponsored by AIM and the NSF, will bring together researchers who have studied effective randomness at different times, with different motivations, and drawing from different academic backgrounds, with an aim toward increasing communication and collaboration, and developing broad shared research goals and a coherent research community. Topics for the workshop will include effective notions of randomness such as Martin--Löf randomness; measures of relative randomness; effective dimension; Kolmogorov complexity and other concepts from algorithmic information theory; and interactions with computability theory and complexity theory. The workshop is organized by Joseph Miller and Denis Hirschfeldt. For more details please see the workshop announcement page: http://aimath.org/ARCC/workshops/randomness.html Space and funding is available for a few more participants. If you would like to participate, please apply by filling out the on-line form (available at the link above) no later than May 7, 2006. Applications are open to all, and we especially encourage women, underrepresented minorities, junior mathematicians, and researchers from primarily undergraduate institutions to apply. Before submitting an application, please read the ARCC policies concerning participation and financial support for participants. -------------------------------------- AIM Research Conference Center (ARCC): -------------------------------------- The AIM Research Conference Center (ARCC) hosts focused workshops in all areas of the mathematical sciences. ARCC focused workshops are distinguished by their emphasis on a specific mathematical goal, such as making progress on a significant unsolved problem, understanding the proof of an important new result, or investigating the convergence between two distinct areas of mathematics. For more information about ARCC, please visit http://www.aimath.org/ARCC/