SETI at UCLA

“Are we alone in the universe?” is a Zooniverse-based citizen science project designed to accelerate the Search for Extraterrestrial Intelligence (SETI). The project launched on February 14, 2023 and is accessible at http://arewealone.earth. It features UCLA SETI data obtained with the 100 m Green Bank Telescope (Margot et al., 2023, AJ http://arxiv.org/abs/2308.02712). Volunteers are presented with spectrograms containing narrowband radio signals, and tasked to answer a few questions about each signal’s structure. These answers enable progress through a decision tree and result in the classification of each signal into one of twenty categories. Along the way, volunteers highlight the most promising technosignatures. The final product is a labeled set of spectrograms. This labeled set, while a work in progress, is currently being used to train a machine learning application to excise radio frequency interference (RFI) from future SETI datasets. Preliminary results are promising, with the application identifying the top 4 most common forms of RFI with an F-1 score of over 0.90 (0.99 on the most common form). We will present improvements to the design of the application and updated performance metrics at the meeting. Funded by NASA, The Planetary Society, and generous donors, “Are we alone in the Universe?” has already inspired over 20,000 volunteers who have collectively submitted over 700,000 classifications and generated a labeled training set with over 25,000 entries.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-10
DOI
https://doi.org/10.5281/zenodo.14586196
Primary Topic
Genomics and Rare Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SETI at UCLA

Zenodo (CERN European Organization for Nuclear Research)
Genomics and Rare Diseases
article

SETI at UCLA

article en

Abstract

“Are we alone in the universe?” is a Zooniverse-based citizen science project designed to accelerate the Search for Extraterrestrial Intelligence (SETI). The project launched on February 14, 2023 and is accessible at http://arewealone.earth. It features UCLA SETI data obtained with the 100 m Green Bank Telescope (Margot et al., 2023, AJ http://arxiv.org/abs/2308.02712). Volunteers are presented with spectrograms containing narrowband radio signals, and tasked to answer a few questions about each signal’s structure. These answers enable progress through a decision tree and result in the classification of each signal into one of twenty categories. Along the way, volunteers highlight the most promising technosignatures. The final product is a labeled set of spectrograms. This labeled set, while a work in progress, is currently being used to train a machine learning application to excise radio frequency interference (RFI) from future SETI datasets. Preliminary results are promising, with the application identifying the top 4 most common forms of RFI with an F-1 score of over 0.90 (0.99 on the most common form). We will present improvements to the design of the application and updated performance metrics at the meeting. Funded by NASA, The Planetary Society, and generous donors, “Are we alone in the Universe?” has already inspired over 20,000 volunteers who have collectively submitted over 700,000 classifications and generated a labeled training set with over 25,000 entries.

Zenodo (CERN European Organization for Nuclear Research)
UCLA Health (US)
Openalex Percentile: Top 56%
Genomics and Rare Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.