Community Events

More information for the session and registration can be found here: https://is4ie.org/events/event/international-industrial-ecology-day-2024/program/112

The College of Agriculture and Natural Resources at Michigan State University is excited and honored to host the International Congress on Environmental Modelling & Software in 2024.

The European Social Simulation Association’s official 2023 Summer School will be held at The James Hutton Institute’s Craigiebuckler campus in Aberdeen, Scotland in the week before the Social Sim[…]

The MIT Solve community is looking for technology-based solutions that help communities restore, sustain, and benefit from resilient ecosystems.

The 11th biennial FOODSIM Conference
Sustainable Food Production in Time of Climate Change University of Leuven/Campus Ghent
Ghent, Belgium
April 5-9, 2020

Dear Colleague,

This is a reminder t[…]

iCROPM2020 will focus on recent improvements and applications of crop simulation models to better support agricultural production and food security under global change. All types of crops and cropping systems (arable, grasslands, intercrops) and world regions will be considered, including high and low inputs systems, with relevance for large agricultural enterprises to smallholder farmers, under climate change.

Sub-Saharan Africa faces major challenges around agriculture, food security and water access over the next half century. SENTINEL (Social and Environmental Trade-offs in African Agriculture) is partnering with a team of researchers at the International Water Management Institute (IWMI) in a horizon scanning activity aimed at gathering insights on “achieving food and nutrition security, reducing inequality, and preserving terrestrial ecosystems.”

Agricultural models simulate the effects of climate on crop yields, farm income, and trade, making them important tools for examining food security. This AGU session will focus on research at the interface of climate, agriculture, and economics, including results from the Agricultural Model Intercomparison and Improvement Project (AgMIP).