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Joseph F. DeCarolis is an American scientist and academic who will serve as the Administrator of the Energy Information Administration in the Biden administration. His second round nomination was sent to the US Senate for consideration on 4January 2022 and confirmed on 31March 2022. , DeCarolis has yet to take up his post.

Earlier academic research by DeCarolis centered on energy system analysis in support of public policy development. DeCarolis released the TEMOA energy system model under an opensource license in 2010. And in 2020 helped cofound the Open Energy Outlook (OEO) project which combines different policyfocused energy modeling frameworks and the large data collections needed to articulate individual models. The project also seeks to build a networked community of supportive analysts. Akey motivator for DeCarolis was always analytical transparency.

Education
DeCarolis earned a Bachelor of Science degree with a double major in physics and environmental science and policy from Clark University, Massachusetts, followed by a PhD in engineering and public policy from Carnegie Mellon University, Pennsylvania.

Career
From 2004 to 2008, DeCarolis served as an environmental scientist in the USEnvironmental Protection Agency (EPA). From 2005 to 2008, he was also a part-time instructor at Duke University. He joined the faculty of North Carolina State University in 2008 as an associate professor and has since worked as a full professor. DeCarolis specializes in civil engineering, energy systems, and public policy.

Confirmation procedure
DeCarolis was twice nominated to the role of Administrator of the Energy Information Administration before being confirmed by the USSenate on 31March 2022. President Joe Biden first nominated DeCarolis on 22September 2021. This nomination was returned on 3January 2022 under House Rules after the Congressional session ended without having scheduled a hearing. President Biden had earlier renominated DeCarolis on 4October 2021 and sent this second nomination to the Senate on 4January 2022. An in‑person hearing held by the Senate Energy Committee on 8February 2022 and a written exchange followed. The appointment was confirmed on 31March 2022.

Testimony to US Senate


The testimony by DeCarolis to the US Senate is on the public record and may be examined. DeCarolis outlined the following three priorities for the EIA in his opening written statement:


 * The EIA should strive to make its various products more accessible and more transparent. That may include releasing the numerical models developed by the IEA as open source.  And publishing the various data streams the administration collects using well‑designed online dashboards in realtime.  Accessibility and transparency can engender public trust, foster understanding, and allow stakeholders to make better use of the information the EIA collates and processes.


 * The modeling capacity within the IEA should be expanded to examine a wider range of future scenarios that also cover the full spectrum of available fuels and technologies. The models themselves should be tested under a wider range of assumptions to better evaluate the resulting set of potential trajectories relative to system cost, emissions, reliability, and security.  The EIA therefore needs to engage in greater crossagency coordination to examine emerging trends in the energy economy.  With one salient example being the supply and demand of critical raw materials essential for the manufacture of renewable energy and energy storage technologies.


 * And that EIA data and analysis can provide additional insights into energy trends and the likely impacts on communities and sectors. Including the accessibility and reliability of energy supply and the effects of price volatility on energy poverty.

During his testimony, DeCarolis also observed that during his three years as an energy modeler with the EPA, he formed the view that "the prevailing approach to modeling within the international community was flawed", that "the models were opaque to outsiders", and that "modelers needed to do a better job quantifying future uncertainty and how [this] might affect model projections".