The second circular for the upcoming Algorithmic Approaches to the Identification Problem in Systematics symposium has just been released (see below). This symposium will be held on 19 August 2005 in the Flett Theater of the Natural History Museum, London. It’s purpose is to provide leaders of research groups, researchers, post-doctoral research assistants, and students working or studying in any area of systematics with an opportunity to (1) learn about current trends in quantitative approaches to the group-recognition problem, (2) become familiar with the capabilities of various software systems currently available for identifying systematic objects/groups and (3) evaluate various applications of this technology to present and future systematic problems. Special attention will be paid to showing how different approaches to automated identification can be applied to various organismal groups and in various applied research contexts (e.g., biodiversity studies, biostratigraphy, conservation, agriculture). Ample programme time will also be provided for discussions of issues relating to how these approaches and technologies can play a larger role in meeting the needs of current and future systematists.
This free, one-day symposium is sponsored by The Systematics Association and the Natural History Museum London, and is part of The Systematics Association’s Biennial Meeting. Please visit the web site for additional information (http://www.nhm.ac.uk/hosted_sites/paleonet/aaips_symposium/). If you are not able to attend the meeting, a symposium volume is being assembled and will be published as part of the Systematics Associations Special Volume series in 2006. Below is a list of symposium presentations. If you have any questions about the symposium please see the symposium web site or contact me at [EMAIL PROTECTED] or at the address below. Norman MacLeod ___________________________________________________________________ Dr. Norman MacLeod Keeper of Palaeontology The Natural History Museum Cromwell Road, London, SW7 5BD (0)207 942-5204 (Office) (0)207 942-5546 (Fax) http://www.nhm.ac.uk/palaeontology/a&ss/nm/nm.html (Web Page) ___________________________________________________________________ Second Circular Algorithmic Approaches to the Identification Problem in Systematics Date: 19 August 2005 Venue: Flett Theatre, The Natural History Museum, Cromwell Road, London Sponsors: The Systematics Association and The Natural History Museum, London Authors and Presentation Titles (alphabetical listing by author) Homology and Morphometrics: An Old Theme Revisited F. L. Bookstein Institute of Geontology, University of Michigan, Ann Arbor, Michigan, USA and Institute of Anthropology, University of Vienna, Austria. Is Automated Species Identification Feasible? David Chesmore Intelligent Systems Research Group, Department of Electronics, University of York, Heslington, York, YO10 5DD, England. Identification of Botanical Taxa Using Artificial Neural Networks Jonathan Y. Clark Neural Computing Group, Department of Computing, School of Electronics and Physical Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, UK. Natural Object Recognition – Machines Versus Humans Phil Culverhouse Centre for Interactive Intelligent Systems, School of Computing, Communications & Electronics, University of Plymouth PL4 8AA, UK. Drawing the Line: the Differentiation Between Morphological Plasticity and Interspecific Variation David Jones and Mark Purnell Department of Geology, University of Leicester, University Road, Leicester, England LE1 7RH, UK. Plastic Self Organising Maps Robert Lang Flat 3, 15 Christchurch Gardens, Reading, Berks RG2 7AH, UK. Forging a Synthesis Between 3D Object Ordination and 3D Object Recognition Norman MacLeod1, P. David Polly2, Stig Walsh1, Mark O’Neill3 1Department of Palaeontology, Natural History Museum, Cromwell Road, London SW7 5BD, UK; 2Department of Biological Sciences, Queen Mary, University of London, Mile End Road, London E1 4NS,UK; 3Centre for Neuroecology, Henry Wellcome Building, University of Newcastle upon Tyne, Newcastle, UK. Decision Trees: A Machine Learning Methodology to Determine Ungulate Feeding Behavior from Craniodental Morphology Manuel Mendoza Department of Ecology and Evolutionary Biology, Brown University, Providence, Rhode Island 02912, USA. Pattern Recognition for Ecological Science and Environmental Monitoring Eric N. Mortensen School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, Oregon 97331-4501, USA. DAISY: A Practical Computer Based Tool for Semi-Automated Species Identification Mark A. O'Neill Centre for Neuroecology, Henry Wellcome Building, University of Newcastle upon Tyne, Newcastle, UK. Introducing SPIDA-web: An Automated Identification System for Biological Species Kimberly Norris Russell, Martin T. Do and Norman I. Platnick. Division of Invertebrate Zoology, American Museum of Natural History, Central Park West at 79th St., New York, NY 10024, USA. Automated Extraction and Analysis of Morphological Features for Species Identification Volker Steinhage1, Stefan Schröder2, Karl-Heinz Lampe3, Armin and B. Cremers1 1Department of Computer Science III, University of Bonn, Roemerstrasse 164 , D-53117 Bonn, Germany; 2German Centre for Documentation and Information in Agriculture (ZADI), Villichgasse 17, D-53177 Bonn, Germany; 3Zoologisches Forschungsinstitut und Museum Alexander Koenig (ZFMK),Adenauerallee 160, D-53113 Bonn, Germany. Using the DAISY uANN to Solve Problems in Fossil Penguin Identification Stig A. Walsh1, Norman MacLeod1 and Mark O’Neill2 1The Natural History Museum, Department of Palaeontology, Cromwell Road, London, SW7 5BD, UK; 2Centre for Neuroecology, Henry Welcomme Building, University of Newcastle upon Tyne, Newcastle upon Tyne, NE1 7RU, UK. Digital Innovation and Taxonomy’s Finest Hour Quentin Wheeler Department of Entomology, Natural History Museum, Cromwell Road, London, SW7 5BD, UK. -- Replies will be sent to the list. For more information visit http://www.morphometrics.org
