Community Events

Virtual 90 min seminar to take a deep-dive on the steps necessary for proper machine-actionable data and software citations that result in data and software creators receiving automated attribution when a new peer-reviewed paper is published.

Please consider registering as you will be able to receive slides and the session recording even if you are unable to attend.

The abundance of data, accessible computing power, and storage has revolutionized science and ushered an era of data-driven scientific discoveries. This talk will cover the challenges involved in capturing and managing computational provenance and examine the evolution of methods and tools that have been proposed to facilitate transparency and reproducibility.

By taking part in this course, you will gain a modelling culture and learn the different skills required for building agent-based models (ABMs) applied to sociological, ecological, or socio-ecological systems. MISS-ABMS promotes a collaborative practice of modelling and simulation, is multi-platform (NetLogo, GAMA and Cormas), presents the different stages of an ABM process, with a focus on model design and implementation, offers a significant time for group work to design and implement an ABM

Brain Emulation Challenge Workshop: Functionalizing Brain Data, Ground-Truthing, and the Role of Artificial Data in Advancing Neuroscience

Explore the challenges and opportunities in functionalizing brain data to emulate neural circuits, tackle cutting-edge topics such as ground-truthing for validation, leveraging artificial datasets generated from virtual brain tissue, and the transformative potential of virtual brain platforms, such as applied to the forthcoming Brain Emulation Challenge.

This workshop explores the intersection of Agent-Based Modeling, Complex Networks, and High-Performance Computing for large-scale systems. It includes talks, a panel, posters, and a hands-on course on Vahana.jl. Aimed at researchers and students in complex systems and related fields. Speakers from various universities will present. Free participation with registration; poster abstracts due November 10th.

This event aims to discuss advances in infant attachment and the mother-infant relationship at the neural and behavioral scales, combining experimental data with computational models from a complex systems approach. Challenges related to this integration will be presented at the end of the event.

The International Symposium on Computational Social Sciences will be held virtually from October 14 to October 18, 2024. This event will bring together scholars, researchers, and professionals from various disciplines to explore the advancements and applications of computational social sciences.

Spatial and temporal thinking is important not just because everything happens at some places and at some time, but because knowing where and when things are happening is key to understanding how and why they happened or will happen. Spatial data science is concerned with the representation, modeling, and simulation of spatial processes, as well as with the publication, retrieval, reuse, integration, and analysis of such space- and place-centric data.

Annual conference of the Computational Social Science Society of the Americas

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.