Alana Darcher

Not Even Nice Work If You Can Get It; A Longitudinal Study of Uber's Algorithmic Pay and Pricing Ride-sharing platforms like Uber market themselves as enabling `flexibility' for their workforce, meaning that drivers are expected to anticipate when and where the algorithm will allocate them jobs, ...

New paper out today, accepted at #FAccT2025, led by Jake Stein and me: "Not Even Nice Work If You Can Get It; A Longitudinal Study of Uber's Algorithmic Pay and Pricing" arxiv.org/abs/2506.15278

Over the last 3 years, we've been working with @workerinfox.bsky.social to audit Uber's algorithms. 1/

Coming to OCNS this year? Let’s hang out!

@graphcrimes.bsky.social

The Foundation Model crew at #COSYNE2025. With @josueortc.bsky.social , @colehurwitz.bsky.social , @averyryoo.bsky.social , @nandahkrishna.bsky.social , @auschulz.bsky.social

@dorisdijk.bsky.social hallo hallo 🧠

🧠🔍 Featuring talks by:
Jonathan Daume (hippocampal dynamics + WM)

Sina Mackay (concept cells + memory formation)

@ilonavieten.bsky.social (attention modulation + single neurons)

@muthujeyanthi.bsky.social (gamma osc. during sequence tasks)

and me (decoding semantic info during movies)!

Coming to #NWG Göttingen and interested in single neurons, LFP, & human memory? Check out our upcoming symposium!

🧠 Investigating memory using human single-neuron recordings
📅 Fri. 28/3, 11:30-13:30 | 📍 Hall 8

@neurowissg.bsky.social
Co-org w/ @ilonavieten.bsky.social

Workshop on Foundation Models at Cosyne, also featuring @auschulz.bsky.social!

ZAPBench ZAPBench evaluates how well different models can predict the activity of over 70,000 neurons in a novel larval zebrafish dataset.

⚡️ Excited to introduce ZAPBench, our #ICLR2025 spotlight: The Zebrafish Activity Prediction Benchmark measures progress in predicting neural activity within an entire vertebrate brain (70k+ neurons!)

Explore interactive visualizations, datasets, code + paper: google-research.github.io/zapbench

🧠🧪

Behavioral investigation of allocentric and egocentric cognitive maps in human spatial memory Spatial memory is a fundamental cognitive function that enables humans and other species to encode and recall the locations of items in their environments. Humans employ diverse strategies to support ...

Happy to share our new preprint on cognitive maps and human spatial memory! Led by @lauranett.bsky.social, together with @timaguth.bsky.social and @philippbuchel.bsky.social

Preprint: www.biorxiv.org/content/10.1...

Task for easy re-use: github.com/BonnSpatialM...

Code: github.com/BonnSpatialM...

Gatsby Bridging Programme flyer

📢 Apply now for the 7-week #Mathematics #SummerSchool in London!

You will develop mathematics skills and intuition necessary to enter the #TheoreticalNeuroscience or #MachineLearning field.

ℹ️ www.ucl.ac.uk/gatsby/study-and-work/gatsby-bridging-programme

Please help spread the word!

Thrilled to announce we have three #NeurIPS2024 papers! Interested in simulating realistic neural data with diffusion models or recurrent neural networks, or in source distribution sorcery? Have a look 👇 1/4

Hi world! This is the brand-new BlueSky account of the Machine Learning in Science (@jakhmack.bsky.social) lab. We create probabilistic #MachineLearning and #AI Tools for scientific discovery — but more on that soon!
For now let’s introduce ourselves with some pictures of our recent group retreat.