@Stanford Science Fellow @HopkinsMarine; #PhD @MichiganStateFW @EEB_MSU; #MS @uniGoettingen @WildSciGoe; #humans #nature #ecology #wildlife #LatinaInSTEM
Stanford, California
Joined December 2017
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Hey tweeps!👋I'm a quantitative #ecologist & #PhD student at @MichiganStateFW @EEB_MSU with Dr. Jianguo Jack Liu 🐼, & got tons of❤️for @KBSLTER & @RLadiesELansing. I develop new #conservation tools & study human effects on #species #distributions.👩💻More: bit.ly/vfbio
📢Hear ye! Hear ye! New paper alert!📢 "It takes a village to raise a science communicator." I use the metaphor of a medieval village to describe the resources, personnel, and institutions required to succeed in #outreach and #scicomm. Check it out here ➡️ bit.ly/villagesci
Veronica Frans retweeted
uploaded later than i hoped, but here's my step-by-step video guide on ✨HOW TO WRITE A STATEMENT OF PURPOSE!✨ in it, i analyze my very own SoP that got me into Harvard + other top schools 😍 please share widely! #phdchat #admissions youtube.com/watch?v=fQP1rXzZ… – at Onna-son, Okinawa
What an honor for our @NatureEcoEvo article to be seen as part of scientists' decades-long journey towards understanding species range shifts in our changing world. 🌏 Merci, Mediapart, de m'avoir interviewée! Our covered paper is found here: bit.ly/humsdm
Biodiversité : les espèces se déplacent, les scientifiques sont perplexes
Par @yvessciama l.mediapart.fr/KRa
What a fun visit to @UCBerkeley for my very first seminar as a postdoc! @OrnithoAle and Berkeley Wildlife @ESPM_Berkeley thanks for the invite! 😁See you next time!
Veronica Frans retweeted
PhD Candidate @vffrans and advisor Jianguo "Jack" Liu published an analysis in @NatureEcoEvo that shows #humans are being neglected in species distribution modeling. They also show a way forward. bit.ly/humsdm
#biodiversity #conservation #nature
ALT Maps showing spatial scales, study locations, and initial years of human predictor use across the globe.
Veronica Frans retweeted
Human impact? SDM? Right down my alley! Looking forward to reading this! Rewiew of 12k studies sounds insane😱
🥳My 1st PhD chapter is out in @NatureEcoEvo!! "Gaps and opportunities in modelling human influence on species distributions in the Anthropocene." I did a massive systematic review of >12k #sdm articles & found only 11% use human predictors in SDMs.😮 bit.ly/humsdm 🧵1/
Veronica Frans retweeted
🥳My 1st PhD chapter is out in @NatureEcoEvo!! "Gaps and opportunities in modelling human influence on species distributions in the Anthropocene." I did a massive systematic review of >12k #sdm articles & found only 11% use human predictors in SDMs.😮 bit.ly/humsdm 🧵1/
Veronica Frans retweeted
PhD Student in @MichiganStateFW Veronica Frans (@VFFrans) and MSU Faculty member Jianguo “Jack” Liu recently had research published in @NatureEcoEvo.
@EEB_MSU
Gaps and opportunities in modelling human influence on species distributions in the Anthropocene nature.com/articles/s41559-0…
This is one of my greatest achievements as a PhD student. 🥲 It took lot of work and many years, and I'm so grateful for all the support and encouragement from my advisor Jack Liu 🐼, @ChrisKlausmeier, and so many others at @MichiganStateFW @KBSLTER @EEB_MSU ❤️🥰
Gaps and opportunities in modelling human influence on species distributions in the Anthropocene nature.com/articles/s41559-0…
🥳My 1st PhD chapter is out in @NatureEcoEvo!! "Gaps and opportunities in modelling human influence on species distributions in the Anthropocene." I did a massive systematic review of >12k #sdm articles & found only 11% use human predictors in SDMs.😮 bit.ly/humsdm 🧵1/
1,429 articles used human predictors in SDM training. Collectively, they modeled the distributions of >58k species using 2,307‼️ unique human predictors. This means that compared to environmental predictors, there is no 'rule of thumb' for human predictor selection in SDMs. 🫣 2/
What's also interesting is that there were mismatches between study and human predictor time frames--especially in future forecasts. Nearly half the articles projecting to future climates held human predictors constant over time.🧐But why?🤔Find out here!➡️bit.ly/humsdm
Thank you, @CANRatMSU @EEB_MSU for sharing my exciting news! @stanford here I come! 🎉
canr.msu.edu/news/csis-docto…
I'm so ecstatic and honored to share this news!! 🤩 I'm a 2024 @Stanford Science Fellow!! 🥳 What a dream come true! ❤️ So excited to work with and be mentored by @FiorenzaMicheli at @HopkinsMarine too. 🌊 Can't wait to start! Thank you, @StanfordHumSci !
humsci.stanford.edu/feature/…
New paper in @JOSS_TheOJ! 🥳Do you study #SDGs? Wanna track the 17 SDGs *AND* their 169 targets from massive bodies of text? Well we have a tool for you! 🫵Try seesus! A social, environmental, and economic sustainability classifier for #Python! 1/4
bit.ly/seesus
While other SDG text-mining tools exist, our tools differ because they're based on #regex patterns instead of #MachineLearning. This makes our method more transparent, replicable, controllable and adjustable. We're the first to mine at the SDG target level with high accuracy. 3/4
Be sure to check it out! Thanks to the team Meng Cai @Yingjie4Science @Zh_Yuqian and @colbrydi for your hard work! 4/4
@github link here: github.com/caimeng2/seesus
I'm so excited to celebrate this award! Thank you @nzecology, and thank you @BritishEcolSoc ! 🎉
Congratulations to @vffrans whose @MethodsEcolEvol paper has won the @nzecology Award for Outstanding Publication on New Zealand Ecology!
Veronica’s research is helping to inform the conservation of NZ sea lions, a species recolonising the mainland after over 150 years absence.
