Harvard commits $150 million to a research initiative, allocating $100 million to Schools in proportion to federal funding expenditures and adding climate, neuroscience, and immunology support

The initiative places $100 million with the Schools to support strategic priorities identified through School-based processes, with allocations proportional to each School's federal funding expenditures. Unlike the 2025 funding intended to support continuity after federal grant terminations, Shaw says the intent is to advance new research opportunities rather than simply plug a gap. Based on the text's direct description of the initiative's structure and Shaw's statements; it is an institutional announcement without allocation formulas or timelines.

The remaining $50 million funds awards in areas promising across multiple faculties, through new and expanded internal award programs run by the provost's office supporting individual labs and collaborative projects. The text frames this as a mechanism to marry strengths across disciplines, specifying individual awards of up to $275,000 in each of the neuroscience and immunology project areas, with larger amounts for collaborative proposals. Amounts and areas are explicitly listed in the text, but eligibility, review criteria, and total number of awards are not described.

In energy and climate, the Salata Institute for Climate and Sustainability adds two cross-faculty clusters: one on energy technologies, markets, and systems as they relate to climate impacts, and one on remote sensing and climate/environment measurements applied to risk assessment, mitigation, and adaptation. This expands an existing portfolio of cross-faculty clusters, with each new cluster eligible for up to $600,000 per year for three years. Amounts and duration are given directly in the text; this is a funding arrangement rather than a research result.

The initiative also strengthens the Frontiers of Innovation for Societal Impact Fund (Spark Awards up to $100,000, higher-level Ascend Awards, two-year terms; in its first year the University awarded $4.9 million to 20 awardees), a Wyss Institute partnership for validation projects whose funded projects will double, and computing infrastructure including servers, computational capacity, cloud computing, leading commercial AI models, and storage for regulated data. It pairs innovation funding with computing access, with Jelinkova describing the goal as reducing barriers to large-scale computing, specialized hardware, and commercial AI models. The $4.9 million to 20 awardees and the doubling of funded projects are stated in the text, without evaluation data or output metrics.

The initiative is aimed at Harvard's internal Schools, labs, and cross-faculty teams, emphasizes early-stage research, and explicitly expects projects to eventually attract federal or external funding; the energy and climate clusters, neuroscience and immunology awards, Frontiers fund, and expanded computing and regulated-data storage all sit within this internal funding framework. For readers, it defines where Harvard is directing resources over the coming years in neuroscience, immunology and inflammation, energy and climate, innovation translation, and computing access, and serves as a reference for observing funding opportunities and collaboration models in these areas.

The text does not give per-School allocation amounts, application timelines, review criteria, or expected scientific outputs of funded projects, nor the scale and timing of the computing expansion; the first-year $4.9 million to 20 awardees is an existing Frontiers Fund record and cannot be extrapolated to the outcomes of this $150 million initiative. Readers wanting to judge actual progress in these areas will still need to follow subsequent funding results and research outputs.