Custom Services

ChainBuilder has developed a number of custom services for specific projects. On this page we have listed the projects that are open source. Each of these projects are a work-in-progress for our developers and collaborators. Our team works with our community partners to continually update and improve the work shown below.

In order to access the ChainBuilder projects, first create an account, then navigate the links here:

Scenarios for Computational History

It is well established that modeling complex systems can be beneficial for scientists, policy makers, engineers, and citizens alike. Yet humanists—historians, cultural theorists, literary critics, anthropologists, etc.--rarely have any input into models that address topics often at the heart of these disciplines: the complex interrelationship among persons and things, human culture and so-called “nature”, and the activity and impact of health, embodiment, and care.

This research poses two major challenges: 1) how do we responsibly model humanistic insights for the purposes of modeling, inference, and prediction? 2) in the event that mathematically modeling humanistic analysis and evidenciary procedures is unacceptable, how do we present and use a historical or cultural analysis alongside statistics in a multi-display environment that does more than simple juxtaposition, where layout is not a substitute for integrative analysis?

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Viral Infection Propagation Through Air-Travel

The VIPRA project is a multi-university effort to analyze new strategies for reducing the risk of spread of Viral infections through air-travel. This is accomplished by integrating accurate models with a computational infrastructure that is designed for simulation-based policy analysis on some of the most powerful supercomputers in the world.

The VIPRA approach is based on the realization that inherent uncertainties in human behavior make it difficult to accurately predict the consequences of any particular policy choice. Instead, it is more fruitful to determine a range of possible outcome scenarios, identify possible vulnerabilities, and evaluate the relative merits of feasible policy choices.

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Linking Human and Earth System Models to Assess Regional Impacts and Adaption in Urban Systems and Their Hinterlands

The central objective of the EaSM2 project is to improve understanding of the joint consequences of socio-economic development and regional climate change by developing and applying tools to better integrate human and earth system models. This objective is pursued by focusing on impacts in three key systems - urban areas, agriculture, and forests - in three regional case studies in rapidly developing countries - China, India, and Brazil.

The project develops an integrated suite of community tools for linking the most relevant type of global human system model, integrated assessment models (IAMs), with the Community Earth System Model (CESM), developed and validated through broad-based scientific collaboration and community support over the past 15 years. It employs these tools to link the CESM with one IAM, the integrated Population-Economy-Technology-Science (iPETS) model, and carry out end-to-end impact assessments for our case study regions, from socio-economic scenario development through earth system analysis to impact and adaptation assessment.

This work is funded by an award by the National Science Foundation.
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