We can apply structural path analysis at the one-digit NAICS sector detail from social accounts of the US and regional economies to outline the supply chain from a given sector as a flow of products and by-products between sectors to consumers.

The Alward Institute, in collaboration with Dr. Thomas Rutherford and Andrew Schreiber (University of Wisconsin), the Alward Institute has assembled a Computable General Equilibrium Model Array data warehouse. Our CGE Model Array warehouse contains GAMS/MPSGE ready, basic CGE models based on calibrated CGE data sets from our CGE Model Array warehouse.

Using our online array of 3142 county-level I/O models and applying diagonalized vectors of final demand to each model, we can provide improved contribution analysis for all US counties in a way that compares a region's gross and base output (see Figure 1). With this approach, regional competitive advantage can be inferred from the interaction between gross and base measures of output.

The Alward Institute provides access to county-to-county commodity trade flow estimates annually (2004 - present) produced by two (2) types of spatial interaction models. These flow are estimated for commodities between every US county pair.  Regional social accounts are used to calibrate each model.

We are developing interactive analytics and visualizations, and application program interfaces (APIs) for connecting and embedding regional science analytics within extant models that address complex, multi-disciplinary issues. Our online visualization dashboard is expanding rapidly and currently includes:

The Alward Institute, in collaboration with Dr. Thomas Rutherford and Andrew Schreiber (University of Wisconsin), has assembled a Computable General Equilibrium Data Array data warehouse.  Our CGE Data Array warehouse contains GAMS/MPSGE ready data sets derived from the Institute's database of Social Accounts for each US county.

The Wisconsin local foods study prepared by the Alward Institute estimates the economic contribution of the state's local food markets by simulating how the state's economy could change if there were no local food markets.


Using an empirically-based economic model, the study first establishes a baseline measurement of the size of the state's existing economy.  Local food sales are then removed from the model in order to measure the economic change that could occur if local food markets no longer existed.  The size of Wisconsin's economy is then re-measured and the difference attributed to the existence of the state's local food markets.

A region’s competitive advantages are in large part based on the strengths of its workforce.  To evaluate the core competencies, Alward Institute deconstructs the employment in the industries in your region into the underlying knowledge, skills, abilities, and education (KSAE) associated with those jobs.  In this way, the analyst is able to get a different and more complete view of the workforce in their region. 

We host web-based meeting places for communities of practice to collaborate on projects, engage on various regional science topics, or facilitate intra-organization working groups. Our online sites include a wide range of services to support collaboration among participants including document management, messaging services, modeling and data analysis tools, and our data warehouse of historical social accounting matrices. Contact us today to build or join an Alward Institute Community of Practice!

To understand the economic implications of natural and human-caused hazards, the Alward Institute for Collaborative Science has created a web-based, interactive disaster map that allows users to model direct and indirect consequences associated with climate change or other types of disasters.