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:

📢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 ➡️

RT @drlucylai: 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 analy….

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:

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!

My PhD is DONE and I am finally at @Stanford University! 🎉 So honored to be here as a Stanford Science Fellow and @NSF PRFB Fellow. 🥰 Three years of research and adventure to come as the new Dr. Frans. ✨ Stay tuned!

RT @MichiganStateFW: PhD Candidate @vffrans and advisor Jianguo "Jack" Liu published an analysis in @NatureEcoEvo that shows #humans are be….

RT @OndrejMottl: Human impact? SDM? Right down my alley! Looking forward to reading this! Rewiew of 12k studies sounds insane😱.

RT @VFFrans: 🥳My 1st PhD chapter is out in @NatureEcoEvo!! "Gaps and opportunities in modelling human influence on species distributions in….

RT @CANRatMSU: PhD Student in @MichiganStateFW Veronica Frans (@VFFrans) and MSU Faculty member Jianguo “Jack” Liu recently had research pu….

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 ❤️🥰.

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!➡️

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/

🥳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.😮 🧵1/

Thank you, @CANRatMSU @EEB_MSU for sharing my exciting news! @stanford here I come! 🎉.

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 !.

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:

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

seesus is the #python version of our #rstats package, SDGdetector (see . It works with statements to:.1. Test if they align with sustainability concept.2. Identify SDGs and targets.3. Categorize them by social, environmental, or economic sustainability 2/4.

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.

I'm so excited to celebrate this award! Thank you @nzecology, and thank you @BritishEcolSoc ! 🎉.