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Lily Xu

@lilyxu.bsky.social

Assistant prof at Columbia IEOR developing AI for decision-making in planetary health. https://lily-x.github.io

34 Posts686 Follower377 Folgt
Lily Xu@lilyxu.bsky.social · 2mo ago

Congrats to all of the winners of the AI for Public Goods grants program!! So inspired to see the breadth of work being done on biodiversity, mental health, democratic engagement, and better funding mechanisms for public goods (very meta!).

David Dao@daviddao.org · 2mo ago

I'm so excited to announce this year's winners of the @ai4pg.com $150K Grants program, supporting the AI community that improves how public goods are funded, evaluated and governed in an equitable way. Explore the winning projects and abstracts: www.ai4pg.com/grants/ai4pg...

David Dao@daviddao.org · 2mo ago

Some numbers I'm proud of: 135 submissions. 268 participants. 38 countries. 311 reviews. 11 winning projects from Harvard to Timor-Leste. 9 of them have at least one woman author. 7 of them work in the Global South! And a further $50,000 supported compensated review work (thank you all reviewers!)

Lily Xu@lilyxu.bsky.social · 11mo ago

Launching AI for Public Goods Fast Grants! We'll distribute $150k to advance critical work connecting AI and public goods. 💰 $10k per project 💰 $800 reviewer compensation PUBLIC GOODS := open source, ecosystem services, climate, urban infrastructure, communication, education, science, and more.

David Dao@daviddao.org · 11mo ago

Announcing AI for Public Goods Fast Grants (AI4PG) 2025 Up to $10K for AI research improving decision making in public goods funding. Fast review (within 4 weeks), simple applications (max 1000 words), open to any researchers worldwide. Call for reviewers now open! recerts.org/ai4pg2025

Lily Xu@lilyxu.bsky.social · 12mo ago

Columbia is hiring a tenure-track asst. prof. in computational ecology and evolution! If you use or develop computational tools—AI, data science, stats—to deepen our understanding of eco/evo, evaluate nature-based solutions, or inform and manage impacts on human wellbeing, please apply!

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Lily Xu@lilyxu.bsky.social · 12mo ago

Very happy to be part of this new paper brilliantly led by @calebscoville.bsky.social on new opportunities for stakeholder participation with dynamic management compared to static management of natural resources! 🌳🌏🙋

Caleb Scoville@calebscoville.bsky.social · 12mo ago

New article out in Geo: Geography and Environment with an interdisciplinary dream team of coauthors: “From maps to models: Participation and contestability in the dynamic management of natural resources.” doi.org/10.1002/geo2... (open access)

How does stakeholder participation in natural resource management change when conservation rules are grounded in near real-time data? Recent technological advances have increased the feasibility of the ‘dynamic management’ of natural resources, which promises to align the spatiotemporal scales of management with ecological variability and resource use. Drawing on Kelty's (2020) concept of ‘contributory autonomy’, this article offers a critical comparison of how participation is conceived of in the more established context of static conservation areas and planning versus the emergent field of dynamic management. A systematic review of the dynamic ocean management literature reveals a varied, but shallow engagement with the topic of stakeholder participation in that context. Whereas static management regimes are governed by relatively intuitive and contestable maps, dynamic management is governed by models and data flows. Overall, the decision-making stakeholder of participatory mapping processes under static management is displaced by the stakeholder conceived as an ‘end-user’ of a dynamic management product and consultant in its design. Yet, these shifts also open up potential points of contestation, which may pattern the future theory and practice of participation in dynamic management: counterdata, countermodelling and data chokepoints. Beyond the empirical focus on oceans, this article contributes to broader conversations about the political stakes of environmental data, and algorithmic and artificial intelligence-driven natural resource conservation by considering how possibilities for participation are foreclosed, enabled and reconstituted by new spatiotemporal and technological conditions.
Lily Xu@lilyxu.bsky.social · last yr.

I'm hiring for a machine learning data scientist & research assistant for summer 2025! Join me on a project on invasive species management with an innovative startup doing on-the-ground removal of environmentally destructive invasive animals. Paid, full-time w/ possibility to extend.

I'm hiring for a machine learning data scientist & research assistant for summer 2025! Join me in working on a project on invasive species management, by predicting species risk and planning capture strategies. This work will be in partnership with an innovative startup that is working directly to capture environmentally destructive invasive species in the US. This project will be working with a US-based conservation partner to build predictive machine learning models and design harvest strategies for the removal of invasive animal species. The primary goal is to develop usable ML models and optimization tools to inform practical environmental decision-making on the ground. There will also be opportunities to extend this work into a research publication for a top-tier AI venue. The project would be: Paid, full-time internship for summer 2025 Possibility of extension beyond the summer (part-time or full-time) Remote, but candidates should be authorized to work in the US Supervised by Lily Xu, assistant professor at Columbia University Ideal candidate background will include: Strong background in CS, data science, and/or applied math Experience developing machine learning models Excellent coding skills in Python Excellent writing and interpersonal communication skills Genuine interest in conservation/sustainability Nice to have: background in optimization methods Nice to have: experience with GIS and geospatial data Candidates would ideally have already completed an undergraduate degree, but exceptional undergrads will also be considered. How to apply: Please send a CV and 3–5 paragraphs of your background/interests via email to <lily.x@columbia.edu> with the subject line "Application: ML for invasive species management". Applications will be reviewed on a rolling basis.
Lily Xu@lilyxu.bsky.social · last yr.

Thrilled to be co-organizing the Tackling Climate Change with Machine Learning workshop at #ICLR2025 and bringing in these fantastic keynote speakers! Join us April 28 (in Singapore or free livestream) to hear from @yisongyue.bsky.social on AI for science and Iadine Chades on AI for biodiversity.

Climate Change AI@climatechangeai.bsky.social · last yr.

We're excited to announce @yisongyue.bsky.social and Iadine Chades as keynote speakers at our #ICLR2025 workshop on Apr 28! 🎉 Learn more about the workshop and our free livestream here: www.climatechange.ai/events/iclr2... A big thanks to @mila-quebec.bsky.social for sponsoring the event.

Center for Effective Global Action@cega-uc.bsky.social · last yr.

🌎 Join CEGA for #MeasureDev2025: Biodiversity on Land and at Sea on April 29 at The World Bank in Washington, DC! Explore cutting-edge biodiversity measurement approaches with leading researchers & policymakers shaping conservation strategies. #datasky Register: cega.berkeley.edu/event/measur...

Measuring Development 2025: Biodiversity on Land and at Sea

Human flourishing depends on biodiversity: the animals, plants, and other living organisms whose functions make Earth habitable and whose existence holds intrinsic value. New data and applications...

cega.berkeley.edu

Darby Saxbe@darbysaxbe.bsky.social · 2y ago

🚨BREAKING. From a program officer at the National Science Foundation, a list of keywords that can cause a grant to be pulled. I will be sharing screenshots of these keywords along with a decision tree. Please share widely. This is a crisis for academic freedom & science.

list of banned keywords
Lily Xu@lilyxu.bsky.social · 2y ago

Our paper on unlocking the value of ranger-based monitoring (RBM), now out in Conservation Letters! Our work is a practical guide on when RBM may be useful for biodiversity conservation and protected area management, with some hard-won lessons for implementing RBM effectively. 🐘🌳🪺🤳🥾🪖

Unlocoking the value of ranger-collected data for biodiversity conservation Full article in Conservation Letters: https://tinyurl.com/rangersdata 1. Set clear monitoring goals 2. Avoid wishful thinking 3. Raw data have limitations 4. Consider human dimensions 5. Adapt to your team's capacity 6. Don't be distracted by technology
Lily Xu@lilyxu.bsky.social · 2y ago

Submit your work on data-centric machine learning to tackle climate change and nature-based challenges! ☀️🌱🐋🌳 And join us at #ICLR2025 in April in Singapore 🌏

Climate Change AI@climatechangeai.bsky.social · 2y ago

We're excited to announce the next edition of our workshop "Tackling Climate Change with Machine Learning" at #ICLR2025 in Singapore! ▶️ Mentorship program deadline: Dec 27, 2024 ▶️ Paper submission deadline: Jan 31, 2025 Learn more & submit: climatechange.ai/events/iclr2...