Data For Good | Data Science Collaboration | Innovation for Positive Impact

Advance Technology to Preserve and Improve Life on Earth

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Case StudiesSee more

Future Forests Shiny Dashboard

Mbaza Shiny App

ML Wildlife Image Classification

Leveraging Citizen Science Data

Preserving Wildlife With Computer Vision

Monitoring The Arctic Ocean

Climate Crisis
Forestry
Shiny

Future Forests Shiny Dashboard

A Shiny dashboard showcasing predicted climatic optima for select European tree species by 2070 under different climate scenarios. Climate change is causing a great shift in forest ecosystems. In the next 50 years, some trees might completely disappear from parts of the world, while others will thrive. Explore dashboard

final future forest ranges design -research shiny application

Open Source
Shiny
Wildlife Conservation

Mbaza Shiny App

The Mbaza Shiny App integrates with the Mbaza desktop app for camera trap image analyses and can be used to automatically calculate daily activity patterns of different animal species, create maps and calculate measures of relative abundance with no coding or statistical knowledge. Read more

Open Source Solution
Realtime Image Classification

ML Wildlife Image Classification

Camera trap imaging (automatic photography of animal species in the wild) is becoming the gold standard in biodiversity conservation. It allows for accurately monitoring large swaths of land at an unprecedented scale. With ML and Computer Vision we tapped the potential of automated intelligence to improve reaction time for conservation efforts.

Citizen Science
Computer Vision
Ecosystem Monitoring

Leveraging Citizen Science Data

Partnering with dendrologists, we studied the life cycle stages of plants from Polish forests. Utilizing citizen science platforms allows for large-scale, high precision monitoring of the shifts in ecosystems’ synchrony as it is affected by climate. Read more

Flowering plant take by citizen scientist - making the most of citizen science imagery using computer vision

Computer Vision
Open Source
Wildlife Conservation

Preserving Wildlife With Computer Vision

Mbaza is used in the national parks of Gabon to help protect and monitor their pristine ecosystems. It is powered by image classification models, allowing the ecologists and park rangers to tap into insights from the data collected by camera traps. Using their existing equipment, they can process the data within a day. Without the tool, this typically took a month. Read more

Mbaza Golden Cat - Computer Vision Camera Trap

Computer Vision
Data4Good
Image Segmentation

Monitoring The Arctic Ocean

The vitality of plankton is a crucial window into the health of the Arctic ocean. We have developed methods of assessing the nutritive value of plankton using Image Segmentation, which opens the possibility of monitoring the Arctic oceans’ ecosystem on a large scale. This is particularly important in the era of accelerated shifts caused by the climate crisis. Read more

Copepods from the Arctic Ocean - monitoring health of ocean with machine learning

Appsilon's Data for Good Initiative

Our team has gathered significant expertise in interactive data visualization, machine learning, and developing artificial intelligence solutions. We’ve decided to put these technologies to work in resolving the world’s most pressing challenges.

In our Data for Good initiative, we focus primarily on climate change and environmental protection projects, because we believe these issues will become the primary challenges to humanity in the decades to come.

Let's talk

Machine Learning and Data Science Support

We offer many of our services at significantly reduced rates or pro-bono when the goal of the project is aligned with our Data for Good mission.

In areas that need the most innovation to limit GHG emissions, we identified four from which we believe Machine Learning could speed up breakthrough processes.

Collaborate with Appsilon

We are committed to supporting scientists and organizations working on real business solutions limiting emissions. In the case of high-impact climate change projects, especially those aimed at reducing carbon emissions, we will provide our services pro-bono.

We are convinced that a combination of our technical skills with the domain knowledge of our partner organizations will result in innovative solutions for the planet.

If you are a public sector institution, an NGO, an academic institution, or a public benefit corporation working on social good projects, we would like to hear from you.

Let’s talk

Media Recognition

Appsilon’s Data for Good efforts have been widely recognized in international media. Our Mbaza AI computer vision project, created in collaboration with the University of Stirling and Parcs Gabon to help preserve animal populations in Africa, was featured in Euronews, The Independent, and other notable outlets.