
i-CONN Network
@network_iconn
i-CONN: €4.1M @MSCActions ITN on multidisciplinary connectivity science. Funded by @EU_Commission #H2020. Insights into connectivity, networks and academic life
ID: 1174311502725242880
http://iconn.network/ 18-09-2019 13:18:00
341 Tweet
157 Followers
193 Following

Always great to present in front of the i-CONN Network community. #annualnetworkmeeting #London

Our ESR @deborahpriss.bsky.social presenting her work at #CAA2023Ams this morning - #computational #archaeologists at their best! 👩💻🧑💻 #H2020 #Amsterdam #connectivity CAA 2023 Amsterdam PhD Voice - Independently Run

It happened again!🤩 The next issue of our #newsletter📰is out now - hot off the press! Read all about our exciting recent i-CONN Network events and some faboulus interviews and insights here: iconn.network/wp-content/upl… #H2020 Marie Skłodowska-Curie Actions Academic Chatter™ Network Science


i-CONN Network is in Durham for our final meeting. Great talks by Venetia Voutsa Mel Guirro Harald Waxenecker Julia Christodoulos Karittevlis and John. Fantastic research updates - well done all


4 years of i-CONN: great ESRs, fantastic research, truly interdisciplinary collaborations, loads of networks, and a phenomenal application of network approaches to explore connectivity across a multitude of systems Geography at Durham Marie Skłodowska-Curie Actions Horizon Europe 🇪🇺 i-CONN Network


Our latest scientific article from the i-CONN Network project in collaboration with Durham University is out! Sonia Recinos & Shubham Tiwari explore network-based approaches for understanding water connectivity in drylands and floodplains onlinelibrary.wiley.com/doi/10.1002/ec…


Special thanks for the support from the i-CONN Network project, a part of the European Commission's Horizon 2020 program! Your backing is invaluable Marie Skłodowska-Curie Actions. 🤝


📢Exciting new publication from i-CONN Network 🚀 🔍 "Corruption dynamics in public procurement: A longitudinal network analysis of local construction contracts in Guatemala" by Harald Waxenecker & Christina Prell delves into the corruption risks within 33,579 construction contracts.







4.5 years later, my core PhD work is finally out: We predict the multistability of Turing patterns using the graph Laplacian eigenvalues, and nothing else! journals.plos.org/complexsystems… github.com/Hajali-Selim/T… PLOS Complex Systems Constructor University University of Exeter i-CONN Network #Turing #PhD
