A number of challenges need to be met through insight or innovation to achieve the synergy of Bio and Information sciences. Challenges are pervasive and if overcome will advance solutions on many fronts. This conference accepts papers that have the potential to address these challenges in some measure, and where information technologies; information sciences; mathematics; statistics; numerical algorithms; machine intelligence; context-aware computing; ubiquitous computing; signal processing; human insight or other tools might offer the means to address such challenges.
Topics of Conference
We encourage submission of quality papers in the following general topics of the conference:
FBIT attempts to capture cross-fertilization of ideas in the convergence of Bio and information science and the scope is kept deliberately broad to encourage participation. The following categorization may not exactly fit all but gives an indication of possible convergence areas and some examples of the communities from which our participants may originate:
Hardware meeting Biology
Bioelectronics, Biomimetics, BioMEMS, Wearable Devices for the Ubiquitous Environment
Evolutionary Theory, Genetics and Biomarkers, Phylogenetics and Cladistics, Simulation: (Gaia, Tierra)
Computing the Living System
Cybernetics, Complexity, Computational Applications in Metabonomics, in-Silico Biology, Systems Biology
Modelling the Cell
Microarray Analysis, Metabolic Control Analysis, Metabolomics, Robotic Chemistry, Pathways (Genetic, Signalling, Metabolic), Proteomics, Protein Folding, Molecular Docking, Transcriptomics: Promoters Motifs and RNA, Analogy between Linguistics and Chemistry, Information Management in Bioinformatics
Biologically Inspired Computation
DNA Computing, Evolvable Hardware, Machine Intelligence, Immune Systems Computing, Genetic Programming
Computing Learning or Behaviour
Mathematical Biology, Teaching Humanoid Robots, Modelling Learning in Living Systems, Ontologies
Papers on any aspect of the above topics are welcome. Below are just a few examples of the many challenges relating to the above topics for those with the disposition to tackle the interdisciplinary or a more ambitious paper - although some are less directly related to the topics of the conference, they are so interesting that we will accept serious contributions on any of these.
Study of Intelligence
Architecture of Brain and Mind
Definition of Intelligence: requirement to manipulate the environment; creativity; common sense.
Computational Intelligence and Intelligent Systems
Molecular Biology Drug Discovery and Evolution
Linguistics and Genetics: parallels between languages and chemistry and what discoveries can these reveal.
The C value enigma: new algorithms or tactics that may discover putative function of DNA and of our cellular molecular machinery.
Can cybernetic principles and Shannon laws help Molecular Biology?
Complexity threshold in Genomics: measures to discover what is the complexity beyond which it becomes reasonable to apply Occam's Razor.
Macro and Micro Evolution: what impact has "species as the individual".
Modelling approaches: empirical science; reductionism and objections to reductionism; complex systems theory and emergence; taxonomic analysis; role of analogy in discoveries; chance discovery.
Cladistics : can we define mathematical existence and uniqueness; can we set any bounds on past and future evolution.
Revealing experimental techniques.
Challenges in Biometrics:
Beyond biostatistics. Can we reverse engineer and refine recognition algorithms from vast amounts of data using AI and "white-box" analysis?
Presentational issues and social guarantees.
Interaction; Communication and Databases:
Context Databases: capturing context; feelings; hidden or intended meaning in databases.
Socio-technical: design and usability challenges in the interaction between humans and their personal computational systems.
Bio Interaction: Interaction Technology between Bio Systems and Machines.
Medical records and knowledge accumulation: where to place and how to ensure their integrity.
Research on Learning, and Predicting Social Behaviour or Culture
How do we learn most effectively? Which situations are learned best by means of simple mental exercises; or by playing pac -man; and which require immersion in realistic virtual reality games?
Learned or stochastic difference: predicting the “next time” behaviour: will the next event unfold differently because of what we have learned in the previous event? How much of it is non- ergodic?
"Composability" problem: in a quickly put together coalition each partner needs to guess the likely culture and behaviour of the other partner, what is the best strategy for doing this?
Psychology of human and machine
Instincts, goal setting, emotions and machine intelligence.
Plausible new devices to improve human life: e.g. fusion of wearable sensors and natural language processing for personal use in pattern matching during daily activities.
Forgotten technologies: resurrecting useful techniques lost in time.
The ideal paper should be structured according to this rule as far as possible: (1) give background to the problem being considered and need for the research (please remember that other people may not be familiar with your area, use concise explanations and illustrations); (2) clearly describe your research thesis or approach (if appropriate contrast to any others); state why you believe it likely to succeed; and speculate on the likely scientific/engineering value of your idea; (3) show evidence about how the idea was tested; (4) describe a positive or a negative outcome for the research thesis; and discuss the significance of the outcome for the problem being considered; (5) summarise strengths and weaknesses and possible comparison to other methods/approaches/models with potential to answer this research thesis; (6) speculate about how this result may inform another challenge in the biosciences or offer other opportunities; and discuss any new research thesis or work that your discovery (your positive or negative outcome) now stimulates.
We will provide both full and student categories of registration (15.02.2007)