next level science and environmental technology

Linnaeus4D

   

 

 

 

   Linnaeus4D = going from 2D maps, past 3D, and into 4D

4D + in citu, + real-time, + multilevel simulation.

 

 

 

 

 

 

 

 

Setting a new, robust and impact based standard for validating "green" activities. 

 

 

 

  

 

 

 

linnaeus4dLinnaeus4D is environmental simulation software with a optional monitoring hardware.

Providing its users with a unparalleled level of detail, realism and robustness when planning agricultural, environmental, or environmental risk-estimation work.

 

 

 

 

 

 

 

 

 

 

 

 

   Linnaeus4D will allow you to simulate ecosystem dynamics from subsoil-to-planetary scales.

 

 

 

 

available for PC, Android, iOS systems.  

om Linnaeus4D

What is Linnaeus4D?

In one sentence, its a monitoring and modeling system that radically changes environmental management.

It is also the worlds first ECOSYSTEM Structure-and-Function state-and-transition simulation system. 

As the name suggest, Linnaeus4D is a project that answers the question, of: what would Karl Von Linnaeus do, if he was alive today? Surely, he would leverage state-of-the-art technologies to bring ecosystem science to a level where it helps us navigate out of our environmental dilemmas. For example advance his typology of species written in paper; towards a plant morphological model/functional database; one which could be both validated and simulated  real-time and in-situ on a phone vis-a-vis a network of systems. Thus Linneaus4D honors the tradition of people like Linne; by continuing to do the work to improve the systemacity, accessibility and domain of scientific modeling; specifically regarding the functional dynamics of ecosystems. But does with 21st century tools (machine learning, IoT, UAVs, etc) and focus (climate change, natural resource loss, species loss, pollution, etc.). 

Where/how can I get it? 

You can pre-order now, sponsor a system for a 3rd party or donate. 

Note terms and conditions apply. 

 

How is it different than a academic or specialist tool?

 The first clear departure from similar projects, is in terms of NOT making a distinction between scientific research and application/dissemination. But rather, by design developing a unified and citizen-science based framework where the users are co-developers, i.e. expanding the user base while improving what can be done by modeling software. This is not just a attempt to leverage technology for democracy (like cotizenscience.me), but the data and validation requirements of such a project make it close to impossible to be done (in good time) by orthodox research/expert groups. 

Furthermore the main benefit of Linnaeus4D is of creating a interface betwen domains. As such it could be argued to be a data logistics, informatics, modeling integration and full-stack development solution to an otherwise pure-science "type" of problem. Thusly more than a specific advancement within natural science sub-disciplines. Linnaeus4D is pushing the amount of value adding infomation that can be derrived from best-avaiable knowlege and the number of people that can participate.

  • For example, LInnaeus4D has meant work to harmonize data types and spatio-temporal scales vis-a-vis probilistic (ML) and system dynamics methods; which in turns means development of a simulation framework which can go from submeter to global scales, using different channels of data, different types of data and different techniques for implementing models. Allowing for comparative ecosystem modeling with realistic computational fluid dynamics / submeter and correct GIS in 3D. 
  • For example instead working to innovate the resolution of a CO2 sensor systems / material sciences. Linnaeus4D has meant work to improve the scalability of monitoring technologies. Meaning developing  integrated active monitoring systems which as a package will be as cheap as 50 euro and comparable with specialist tools worth 1000-70000 euro. This matters as indeed“knowledge is the answer to the ecological crisis!’’(Ostrom 1999); from how to reduce pollution, to improve crop growth, validating a "green" label or "greening" project, certifing the CO2 sequestration of a plot , etc. However even at its best, monitoring of natural resource use, climate, biodiversity and ecosystems is a very expensive, specialized and inconsistent endevour. NOT least the quality and resent errors of GHG scenarious depend largely on our capasity to fill in the gap betwen climate models and crop models,i.e. disagregate betwen scales and domains. Linnaeus4D is therefore not another model, but a system of models. A system which allows the simulation of of otherwise incompatible models and datasets. 

Who is Linnaeus4D?

Linnaeus4D is a project by Felix Peniche (M.Sc. and Full-Stack consultant at Ethos and Lelou). Felix wrote his MSc thesis on Scientific Quality Controls for Scientific Models at UU. He has for example developed the first open online teaching and learning system for Uppsala University and SLU (CEMUS OPEN University 2010-2013) and won BASE20 Hackaton "Coding for Humanity". Felix was the course coordinator at UU for the course "Actors and Strategies for Change; Towards Global Sustainabilities" for 3 years and ocationaly also lectures on Embeded Systems or Systems Science or Politics. Felix has worked as a full-stack consultant for various green tech projects like FUSE, SYSLAB, Complex2050, PushSweden, Road2COP15, CEFO, Iniciatives of Cahnge, etc. Not least done allot of probono-work and activism since 2003, e.g. Feministcommingout campaign of 2011 (San Francisco), South Central Farm (LA), the Other Campaign and Attenco (2006), etc. Finally and on ocation also given grants to for example present scientific papers in Brazil (During Rio+20) for the International Society of Ecological Economics and IPCC. 

Who funds Linnaeus4D?

Sadly Linnaeus4D it is not supported by any public or private entity. It has been funded mainly by the profits of Felix work as a consultant. 

If you would like to support Linnaeus4D, express interest or testify to the value of this endevour (even as a product) or stay updated. Do contact Felix.

 

why?

Strategies and policies at all levels, litigation over environmental damages, insurance for climate related risk, certification brands/schemes, assessments for environmental engineering projects, and private investments will all inexorably be based and tested on warrants based from such “as-is” information.
Linnaeus4D aims to change this by providing robust and easy to use system to test any warrant with the best available data/modeling paradigms.

why?

"producing food while maintaining biodiversity and ecosystem function is one of the greatest challenges facing the Earth’s human population today." - Robertson (2000).

Lal (2004; 2006) and Sanchez (2002) call for a much needed critical appraisal of the agronomic strategies needed to enhance and sustain productivity while mitigating climate change, improving biodiversity, restoring quality of soil and water resources, and improving the environment.

 

 

 

why?

a consistent and growing ‘emissions gap’ between the GHG reductions targets and the level scientifically correlated to stabilization of the global climate, i.e., a inconsistent range of scenarios/strategies. (den Elzen et al., 2011; Höhne et al., 2012; Kartha and Erickson, 2011; Rogelj et al., 2011; UNEP, 2010b, 2011; c.f. Wiseman 2013) This means policy development at all levels, litigation over environmental damages, insurance for climate related risk, certification brands/schemes, assessments for environmental engineering projects, municipal development, political priorities and private investments will all inexorably be based and tested on warrants based from such “as-is” information.

why?

because state-of-the-art scientific models arent good enough. Natarajan 2011, argues: “that a radically different, integrated, approach is required to tackle these challenges and ensure that the modeling remain robust and able to meet future demands. We suggest that Agent Based Modelling (ABM) is a suitable candidate modeling paradigm to achieve an integrated modeling framework.”

why?

“knowledge among companies is so much higher than among city governments that the cities become weak customers. They do not have the capacity to adequately specify their needs or to properly evaluate the offers they receive. This can lead to either bad investment decisions or paralyzed decision making.” (EU Smart Cities Stakeholder Platform 2013 )

 

 

 

 

 

   Linnaeus4D will be part of a integrated system

which will include environmental sensors

 stationary, mobile and UAV based   

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