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HUBBLE (High-throughput Unmasking of Biological Interactomes with Binding Landscape Emulators) is a DARPA Biological Technologies Office program to build fast computational emulators that predict protein-protein interactions across the human body far faster than atomistic simulation. Instead of full molecular dynamics, performers produce low-dimensional signatures of each interaction from the topology of its diffusive binding landscape. The goals are to extend coverage into the uncharacterized 'dark interactome' and to produce a hypercatalog of context-aware interactions with predicted probabilities, affinities and kinetics. Traumatic brain injury is the first use case, with causal, directional interaction networks validated experimentally. The program is a strong fit for teams combining machine learning on structural and interaction data, physics-informed models, computational biophysics and protein modeling; teams without a modeling core are a weak fit. Phase 1 runs 12 months with up to $2.0 million per team, and an 18-month Phase 2 is planned. Awards are Other Transactions for Research, and the model OT requires either a nontraditional defense contractor or nonprofit research partner with a significant role, or one-third cost share. Questions are due 3 November 2026, abstracts of up to six pages are due 5 November 2026 at 3:00 p.m. ET, and oral proposal packages are due 11 December 2026 at 3:00 p.m. ET, submitted through the DARPA BAA Tool.

The Carl-Zeiss-Stiftung published its CZS Fokus 2027: Domänen call on 24 June 2026 under its artificial intelligence focus theme. It funds applied research that uses AI in a specific application domain such as health, production, agriculture, or environmental and climate science. Topics of interest include knowledge-integrated, data-efficient, trustworthy and explainable AI, human-AI interaction and Industry 5.0. Research questions should be balanced between computer science and the application domain and carried out by interdisciplinary teams. Each project can receive up to EUR 1.2 million, about US$1.39 million, plus a 20% overhead lump sum, over 3-4 years starting between 1 May and 1 September 2027. Eligible costs are personnel, consumables, travel and publication costs, and investments of up to 30%. Joint applications with universities or non-profit research institutes are allowed if the lead university of applied sciences keeps more than 50% of the funds, and companies are not funded. Selection has two stages: external written reviews, then video presentations by shortlisted teams in late January 2027 and a selection meeting on 25-26 February 2027. A letter of intent was mandatory by 28 September 2026, so only institutions that filed one can submit the full proposal. Full proposals of up to 15 pages, in German or English, are due 5 November 2026 through the foundation's portal.

The focus of this notice of funding opportunity (NOFO) is to produce insights into disease detection and prevention strategies, burden, severity, diagnostics, treatment, and outcomes of infectious diseases in international travelers. Timely surveillance and sentinel detection are essential for collecting actionable data. The research should:Address public health questions that improve the speed of outbreak detection.Help develop guidelines and recommendations to improve patient care.Enhance understanding of the natural history of disease.Optimize genomic surveillance as well as diagnostic and treatment strategies.Advance the global health security of the United States.This NOFO will have two components:Component A – Clinic-based sentinel network.Component B – Sentinel detection in international transportation hubs.You may apply for Component A, B, or both. If your application for both Component A and B is ranked top, Component B will be awarded. Funding Opportunity Number: RFA-CK-26-035. Assistance Listing: 93.084. Funding Instrument: CA. Category: HL. Award Amount: $1.8M – $6M per award.