Portal:Complex Systems Digital Campus/MME

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the repository for Open Questions, Challenges and Ressources of the

Megadiversity Management Ecosystem

What is MME[edit | edit source]

Megadiversity Management Ecosystems (MME) is a basic ICT infrastructure of CSDC based on the open source software Megadiversity Management Systems (MMS) developed at Sony Computer Science Laboratories, Inc. and maintained by Synecoculture Association.

The Megadiversity Management Systems (MMS) is an open-source project that aims to construct the Content Management System (CMS) coupled with Internet of Things (IoT) extensions. It comprises basic framework and assets to construct your own CMS-IoT. The assets include original PHP framework “Artichoke” that can be used to build the CMS as a server-side web application.

The MMS was developed in view of managing diverse complex systems in real world with the following cycle:

1. Build the CMS to store relevant big data of a complex phenomenon.

2. Connect with IoT sensors/actuators for the real-time management of the complex system.

3. Construct machine learning/artificial intelligence with CMS-IoT system during active interaction of the management. This recursive process to construct actively adapting management model is termed as “Open Systems Science” in Sony CSL.

4. Contribute to extend the MMS with your code in order to be used and refined by other multidisciplinary stakeholders under open source initiative.

For example, the synecoculture project tackles the management of the complex vegetation for market gardening with the use of MMS, in order to maximize ecological synergy and yield.

If your project has the following property in the real world system, then MMS could be an ICT solution:

1. You know the general principle to solve the problem, but the real-world management is difficult because the information required is too diverse and massive to be treated by human alone.

2. Your system is difficult to manage with modelling-based approach, because there is interventions from external environment that frequently change the premise of the model. This is a common situation of the complex system management in open field, and MMS can adopt statistical models based on the machine learning of big data.

3. You do not need sophisticated model but rather want to widen your choice of management based on the past record and relevant databases with assistive technology.

4. You have an open-source software with analytical modules and you want to connect it with CMS-IoT for real-time big data analysis and management.

5. You are searching for an interactive interface for data acquisition in citizen science with the use of smartphone and/or AR (Augumented Reality) device.

Board[edit | edit source]

  • Masatoshi FUNABASHI (chair | masa_funabashi"at"csl.sony.co.jp)
  • Tomoyuki MINAMI, Shunsuke AIHARA

Bibliography[edit | edit source]

Funabashi, M. et al. Foundation of CS-DC e-laboratory: open systems exploration for ecosystems leveraging. First Complex Systems Digital Campus World E-Conference 2015. pp. 351–374 (2015).

Funabashi, M. Open systems exploration: An example with ecosystems management. First Complex Systems Digital Campus World E-Conference 2015, pp. 223–243 (2017).

Funabashi, M. Citizen science and topology of mind: Complexity, computation and criticality in data-driven exploration of open complex systems. Entropy 2017, 19 (2017). 181.

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