home Anil Madhavapeddy, Professor of Planetary Computing  

A trio of papers I read on biodiversity and forests this week / Feb 2025

This week I've been reading three really nice pieces of work by my colleagues, in the form of a review paper on biodiversity and AI, a benchmark for 3D forest reconstruction using laser scanners and a mobile app for measuring the width of tree trunks. A real bonanza for forest lovers!   […793 words]

# 20th Feb 2025   iconnotes ai biodiversity conservation forests llms sensing

Updated preprint on quantifying biodiversity cost of food consumption / Feb 2025

We've uploaded a revised preprint on our ongoing work on quantifying the biodiversity cost of global food consumption, lead by Thomas Ball. This is based on the recently published LIFE metric, combined with supply chain data and provenance modeling. […196 words]

# 1st Feb 2025   iconpapers agriculture biodiversity climate conservation consumption extinctions food land-use preprint sensing supplychains

Updated preprint on LLMs for evidence-based decision support / Jan 2025

We have just updated our preprint on using LLMs for evidence decision support with more evaluation results and corrections from peer review.

Our findings suggest that, with careful domain-specific design, LLMs could potentially be powerful tools for enabling expert-level use of evidence syntheses and databases. However, general LLMs used "out-of-the-box" are likely to perform poorly and misinform decision-makers. By establishing that LLMs exhibit comparable performance with human synthesis experts on providing restricted responses to queries of evidence syntheses and databases, future work can build on our approach to quantify LLM performance in providing open-ended responses.

See also the fantastic EEG seminar talk that the student group who worked on this over the summer gave towards the end of last year.

# 1st Jan 2025   iconpapers ai biodiversity conservation evidence llms preprint

LIFE metric published in Royal Society Phil Trans B / Jan 2025

After some years of hard work, our Mapping LIFE on Earth biodiversity metric was published today in a special issue of the Royal Society Philosophical Transactions B! The idea behind LIFE is that although human-driven habitat loss is known to be the greatest cause of the biodiversity crisis, we do not yet have robust spatially explicit metrics that quantify the relative impacts of human actions on species extinctions. And that's what LIFE provides: a way to compare the relative impacts of some landuse anywhere in the world, in a manner that is globally applicable. […409 words]

# 1st Jan 2025   iconpapers aoh biodiversity conservation economics journal nature sdms sensing spatial

Affordable digitisation of insect collections using photogrammetry / Jan 2025

This is an idea proposed as a Cambrige Computer Science Part III or MPhil project, and is available for being worked on. It will be supervised by Tiffany Ki, Edgar Turner and Anil Madhavapeddy.

Insects dominate animal biodiversity and are sometimes called "the little things that run the world". They play a disproportionate role in ecosystem functioning, are highly sensitive to environmental change and often considered to be early indicators of responses in other taxa. There is widespread concern about global insect declines[^1] yet the evidence behind such declines is highly biassed towards the Global North and much is drawn from short-term biodiversity datasets[^2] [^3].

The Insect Collection at the University Museum of Zoology, Cambridge holds over 1.2 million specimens. These include specimens collected from the early 19th century to the present day. Most specimens remain undocumented and unavailable for analysis. However, they contain data that are critical to understanding long-term species and community responses to anthropogenic change, and vital to evaluating whether short-term declines are representative of longer-term trends[^4] [^5]. As such, unlocking these insect collections is of paramount importance, and the large-scale nature of these collections necessitates the development of an efficient and effective digitisation process.

The 3D digitisation of specimens using current methods is either highly time-intensive or expensive, rendering it impossible to achieve across the collection in a reasonable time-frame. Yet, 3D models of specimens have huge potential for investigating species morphological responses to anthropogenic changes over time and identification of trade-offs in morphological responses within a 3D morphospace.   […540 words]

# 1st Jan 2025   iconideas 3d biodiversity conservation idea-available idea-hard insects

Horizon scan on AI and conservation published / Dec 2024

Back in July 2024, a large group of conservation and computer scientists got together in the CCI to prioritise the storm of AI-related projects that have been kicking off around the world. Our key goal was to harness AI to accelerate the positive impact of conservation efforts, while minimising harm caused through either the direct or indirect use of AI technologies.

The first horizon scan resulting from this has just been published in Trends in Ecology and Evolution. If you're looking for a gentle introduction to some of the terms in AI from a non-experts perspective, the first section does a good job of defining a glossary as well. […118 words]

# 1st Dec 2024   iconpapers ai biodiversity cci conservation evidence horizon journal

Cooperative Sensor Networks for Long-Term Biodiversity Monitoring / Dec 2024

Josh Millar and I have been having great fun designing embedded systems for cooperative biodiversity monitoring. Josh presented our work over at LOCO 2024 with an abstract on the Terracorder project. Read more if you enjoy a combination of machine learning and ESP32 hacking.

# 1st Dec 2024   iconpapers abstract ai biodiversity embedded loco qlearning sensing terracorder

Presented poster at Sensys on low-power biodiversity monitoring / Nov 2024

Josh Millar presented our work on biodiversity sensing over at ACM Sensys 2024 in China. The full set of papers and demos has a range of impressive work on sensor networks, and some that stood out to me follow. […140 words]

# 1st Nov 2024   iconpapers abstract biodiversity sensing sensys terracorder

Preprint on using LLMs to for evidence-based decision support / Nov 2024

We have just uploaded a preprint on using LLMs for conservation evidence, based on our work on large-scale crawling of the academic literature. Well done in particular to Radhika Iyer for having done the bulk of the evaluation on this as part of a very productive summer internship with us!

# 1st Jan 2025   iconpapers ai biodiversity conservation evidence llms preprint

Mapping greener futures with planetary computing / Oct 2024

I got invited by Sertaç Sehlikoglu to deliver a lecture to the Masters students down at the UCL Institute for Global Prosperity. I talked about the recent work on planetary computing, with an overview of the LIFE and FOOD papers.

# 25th Oct 2024   icontalks iconvideos biodiversity conservation food london sensing spatial systems

Building species models of the planet / Sep 2024

I don't normally announce funded grants (preferring to focus on outcomes), but I'm really excited by this one and couldn't resist! Myself and my colleagues Srinivasan Keshav (from computer science), David A Coomes (from Plant Sciences), Andrew Balmford (from Zoology) and Neil Burgess (the Head of Science at UNEP-WCMC) have just received a £1.2m grant from the UKRI to work on building foundation models for planetary intelligence.

Now, normally a grant isn't news, but I wanted to highlight the scheme that it came under. UKRI announced an interdisciplinary program specifically for projects that don't normally get funded by just one research council. In our case, this work usually falls between the cracks of EPSRC ("too much nature") or NERC ("too much engineering") or STFC ("not enough satellites"). But this interdisciplinary program expressly assembled a panel across all these areas, and collectively gave us a shot. I really hope this scheme continues to gather steam within the UKRI.

As to what we're doing? There'll be the evolution of the work described in Remote Sensing of Nature and Mapping LIFE on Earth, with lots of domain knowledge that we're pulling together with our partners at UNEP-WCMC (especially Neil Burgess and Ian Ondo) on plant and animal species distributions across the globe.   […339 words]

# 2nd Sep 2024   iconnotes biodiversity conservation funding sdms sensing

Nature Sustainability commentary on carbon and biodiversity credits / Aug 2024

Our commentary on nature-based credits has been published in Nature Sustainability, lead expertly by my colleagues Thomas Swinfield and Sophus zu Ermgassen.

In our view the carbon credits markets are vitally important for forest conservation, but the key is to only transact these credits after they have been proven to be demonstrably additional using robust statistical techniques, so that we know before a sale that each credit represents real gains that would not otherwise have occurred without the carbon finance.

A more scientific approach that supports transparent, third-party validation could absolutely transform these markets. And given the rapid rate of tropical forest loss, such upscaling of credibility is vitally necessary to raise investor confidence in protecting nature, since we can now be confident that every "credit" sold is resulting in real climate benefit. There are real questions remaining about this reform, of course.   […509 words]

# 15th Aug 2024   iconnotes biodiversity carboncredits conservation economics nbs

Preprint on Terracorder sensing now available / Aug 2024

Our preprint on the Terracorder ground sensing platform I've been working with Josh Millar at Imperial on is now available on arXiv. It's a heady combination of ESP32 very low power hardware, combined with Q-learning to build cooperative networks of them that can run for long periods of time without wasting energy on redundant operations.

# 1st Aug 2024   iconpapers ai biodiversity esp32 preprint qlearning sensing terracorder

Nature Sustainability article on carbon/biodiversity credits / Aug 2024

Our commentary on nature-based credits has been published in Nature Sustainability. I wrote some thoughts about it here as well.

# 1st Aug 2024   iconpapers biodiversity carboncredits economics journal nature

COMPASS 2024 report on the CoRE stack RIC meeting / Jul 2024

This is a trip report of ACM COMPASS 2024 held in New Delhi, which had a novel track of "Research to Impact Collaboratives" that drew me in. The general chair, Aadi Seth wrote a fantastic book on "Technology and Disempowerment" a few years ago, and he organised one RIC session on the CoRE Stack -- a climate adaptation stack for rural communities. This was a must-visit for me as it is closely related to the work we've been doing on Remote Sensing of Nature and Planetary Computing. The following notes are somewhat raw as they have only been lightly edited, but please refer to the more polished documents on the agenda for ACM COMPASS RIC and the overall CoRE Stack initiative on commoning technologies for resilience and equality

The conference itself was held at IIIT-D in New Delhi, right at the cusp of the monsoon season and after record-breaking temperatures. Luckily, as always, the hospitality and welcoming nature of New Delhi overrode all the climate discomfort!   […4361 words]

# 8th Jul 2024   iconnotes biodiversity conservation india livenotes sensing

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