Jennifer Raynor
@JenniferRaynor_
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Economist working at the intersection of ocean science, policy & data | Asst. Prof @UWMadison | Formerly @NOAAFisheries | I study who uses the sea—and how
Joined July 2011
Why do some say marine protected areas are just “paper parks”? And are industrial fishers actually staying out of these no-fishing zones?. New in @ScienceMagazine: We used AI + satellite radar to find out. #ScienceResearch #OceanTransparency #Fisheries
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RT @GlobalFishWatch: 📣 A new @ScienceMagazine study co-authored by.@GlobalFishWatch board members @JenniferRaynor_ & @Enric_Sala shows: fu….
news.nationalgeographic.org
The first-of-its-kind study reveals that the world’s most strongly protected marine reserves successfully curb industrial fishing activity, offering a new way to assess fishing compliance and bridge...
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Big thanks to my collaborators @emLabUCSB . @NG_PristineSeas, and to @GlobalFishWatch . ProtectedSeas for key data. Full paper in @ScienceMagazine: Explainer in @ConversationUS: #ScienceResearch #OceanTransparency #MPAs.
theconversation.com
Satellite technology that can track ships even when they ‘go dark’ finds that those protected areas that fully ban industrial fishing are succeeding, even if others aren’t.
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Our study points to a promising shift in strategy:.⚓The future of enforcing protected areas isn’t just more patrols. 🛰️It’s using satellites + open data to target patrols where they’re needed most. These tools can reduce the money and manpower needed to enforce protected areas.
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This is a rare good-news story for ocean conservation, and a proof of concept for monitoring vast ocean protections with open data + AI. These tools are scalable, transparent, and cost-effective, offering a promising model for monitoring ocean activity worldwide.
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The results?.📉 96% of these protected areas saw less than one day of apparent fishing effort per year; 80% saw none at all. 📉 Just 1 fishing vessel detection per 20,000 km² on average—9x lower than unprotected waters. Not bad for places many assumed had rampant poaching.
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We used two independent tools to detect industrial fishing vessels:.📡 AIS - a tracking system that broadcasts ship locations, but can be turned off or tampered with.🛰️ SAR - satellite radar that detects large vessels, even if they aren’t using AIS.#AIS #Sentinel1.
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Using AI + Earth observation satellites, we analyzed industrial fishing activity in 1380 fully and highly protected MPAs spanning almost 8 million square kilometers around the globe. These are places where industrial fishing is completely banned. Here’s what we did and found 👇.
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We asked a simple but high-stakes question: Do industrial fishers actually follow the rules in the world’s most strictly protected marine areas?.💡The assumption: Probably not. MPAs are remote and hard to police. 💡The reality: Little to no illegal activity in most places.
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RT @emLabUCSB: 🚨 New paper alert!. Gavin McDonald, Jen Bone, & Chris Costello in collaboration w/ @JenniferRaynor_ & Gabriel Englander @Wor….
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Birding peeps: what is the best solution to stabilize binoculars on a boat? I am often birding from a canoe while my partner is flyfishing. The shakiness is challenging. Is there a gyroscope or something I can use on my current bins, or best to buy an image stabilizing pair?.
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When I meet other faculty at my university, they REGULARLY ask me whose lab I work in. Me: “my own, actually!” Then it takes 15 awkward seconds to click: “oh! You’re the PI!? Sorry!” This has happened probably 10-12 times already. I tell myself it’s because I look young. 😂.
Me: "I work as an economics professor at the University of Zurich". Someone: "Oh, cool, which professor do you work for?". True story. 😜. #ILookLikeAnEconomist🙋♀️.
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RT @nickchk: I have a new short working paper: Linear Rescaling to Accurately Interpret Logarithms. Do you use logs? Do you interpret incr….
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RT @jondr44: #EconTwitter I have created a new DiD Resources page on my website. It has links to all of my DiD teaching slides, coding exer….
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For what it’s worth, this looks really good.
@ryancbriggs @Andrew___Baker fwiw there's an MIT course for CS students that covers make & GIT and *that* is called "the missing semester" 🤦♂️.
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I’ve seen a few tweets.implying that code that takes a long time to run can’t be reproduced by AEA etc. Do they have some limit on compute time or something? If so, that seems like a really odd policy.
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Seems like comments and quotes are talking about several different issues. Some don’t think stability out to 3 digits is important (that’s my focus here). Others think the “single button run” is the problem (I can understand that may be difficult for huge compute jobs).
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Genuine question: Under what conditions would you ever be ok with your computer code providing different results across multiple runs? I can’t think of a single reason when this would be expected or desirable behavior. I feel like I’m missing something here.
Texting with a colleague at another uni who is mired in the AEA replication process. Wasting > month getting all in order so that some RA can just push one button and get all the data merges right so that the results are perfect to the 3rd decimal place. 1/5.
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