The Open Project Concept
Scientific research is an expression of the human urge to understand the Universe, but also the source of aspiration towards a better world. Such an aspiration starts out as a project proposal. We have collected our project proposals in a database of “open projects”. They define the active areas of interest of the Center for Complexity Studies, and are signals to the society, identifying the problems and questions that CCS considers of major importance at the beginning of the new millennium. For the completion of these research projects, CCS explicitly invites the participation and collaboration of national and international research institutions.
The current list of CCS Open Projects is structured as follows:
Direction 1. Study of morphogenesis processes (acronym M)
Keywords: form, pattern, fractal, morphogenesis, self-organization.
Theme 1: Natural shapes (acronym FN)
Project M-FN-CPN: Catalog of natural patterns and patterns obtained through experiments;
Project M-FN-CPM: Catalog of patterns obtained by numerical simulation;
Project M-FN-CDA: Modern methods of characterization of spatial anisotropy, with application to the description of natural shapes;
Project M-FN-CP: Spatial correlation vs. polydispersity in fractal analysis;
Project M-FN-TM: Theoretical framework of morphogenesis;
Project M-FN-CM: The experimental proof or disproof of the existence of a “morphogenetic force field”;
Project M-FN-AL: Exploration of allometric scaling in the natural world;
Project M-FN-MC: Models of growth for plants, tissues and ecosystems;
Theme 2: Structuring in a gradient (acronym SG)
Project M-SG-A: Theoretical and experimental studies of aggregation;
Project M-SG-S: Theoretical and experimental studies of solidification
Project M-SG-F: Theoretical and experimental studies of fragmentation;
Theme 3: Shape as parameter; the role of shape in Nature (acronym FP)
Project M-FP-SA: The role of archetypal structures such as the “Golden Number” in Nature;
Project M-FP-O: Study of the structure-function relationship and optimality of natural objects; structure optimization studies;
Direction 2. The study of living organisms in context (acronym V)
Keywords: biostructure, metabolism, self-organization, artificial life, biorhythm, society, stock market, ecology, astrophysics.
Theme 1: Identification of the fundamental differences between living and non-living things (acronym VN)
Project V-VN-BS: Theoretical definition of the concept of “biostructure”;
Project V-VN-T: Tesigraphy as a method of identifying living structures;
Project V-VN-S: Living structures as (bio)sensors;
Theme 2: Genesis and dynamics of society (acronym S)
Project V-S-M: Morphogenesis and social stability - case studies;
Project V-S-TC: Methodology for objective classification of culture types;
Project V-S-MOA: Company management, between organization and self-organization;
Project V-S-IE: Human society, between hierarchy and egalitarianism;
Project V-S-R: Study of social networks and the “small world” phenomena;
Project V-S-TI: Study of information flow in social structures;
Project V-S-U: Agent-based modeling of utopian societies;
Theme 3: The concept of “global quality” of a product (acronym CG)
Project V-CG-D: Definition of novel concepts in quality assessment: technical quality, biological quality, ecological quality;
Direction 3. Study of cognition processes (acronym C)
Keywords: cognitive science, psychology, psychometrics, semantics, semiotics, hermeneutics, parapsychology, artificial intelligence, neural networks, fuzzy logic, theology.
Theme 1: The concept of Information and its relation to Energy and Matter (acronym IEM)
Theme 2: Particular and universal in sensory perception (acronym PS)
Theme 3: Extrasensory perception - an information gathering method specific to living creatures (acronim PE)
Direction 4. Technological, biomedical, and socioeconomic applications of Complexity Science (acronym A)
Keywords: chaos, control of chaos, chaotic synchronization, communication, stochastic resonance, biomedical applications, tele-diagnosis, pattern formation, bio-mimetic engineering, stock exchange, intelligent agents, network theory.
Theme 1: Analysis and generation of time-series (acronym ST)
Project A-ST-CF: Catalog of complex time series from physical measurement;
Project A-ST-CN: Catalog of complex time-series from theoretical models or numerical simulation;
Project A-ST-M: Advanced characterization methods for temporal anisotropy;
Project A-ST-F: Methods to ascertain the fractal character of signals;
Project A-ST-CP: Temporal correlation vs. polydispersity in fractal analysis of signals;
Project A-ST-IC: Construction of “complexity measures” for signals and time-series;
Project A-ST-RSF: Phase-space reconstruction from limited data sets;
Theme 2: Industrial applications of pattern formation and analysis (acronym P)
Project A-P-CS: Fractal methods for the characterization of surface quality;
Project A-P-FF: Characterization methods for fragmentation/fracture processes;
Project A-P-TP: Applications of fractal engineering in powder technology;
Project A-P-SE: Applications of fractal engineering in soft-matter and interfacial technology;
Project A-P-P: Strategies of using the natural tendency towards pattern formation in process technology;
Theme 3: Complex analysis of financial market fluctuations(acronym F)
Project A-F-B: Complex methods of analysis and classification monitoring of market fluctuations;
Project A-F-IC: The use of “complexity measures” in monitoring market fluctuations;
Project A-F-FM: Complex methods for the evaluation of fluctuations in employee efficiency and satisfaction, for management applications;
Theme 4: Bio-mimetic engineering (acronym B)
Project A-B-EQ: Technological applications of equipartition phenomena;
Project A-B-RT: Applications of optimization studies of transport/reaction systems;
Project A-B-BM: Nature-inspired novel biomedical applications and devices;
Theme 5: Complex analysis and monitoring of physiological signals (acronym SF)
Project A-SF-IC: Monitoring the state of health using “complexity measures” of physiological signals;
Project A-SF-MN: Applications of nonlinear dynamics and chaos for monitoring the state of health;
Project A-SF-DM: Data mining applications for monitoring the state of health;
Theme 6: Development of novel biosensing strategies and devices (acronym NS)
Project A-NS-ON: The use of natural shapes as biosensors;
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