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The WH Gladstones Population and Environment Fund

Australian Academy of Science

The W H Gladstones Population and Environment Fund offers support for empirical research into how the size, distribution, material aspirations and other characteristics of Australia’s population are likely to affect our environment—not only our land and landscape, but also social cohesion, health, the economy and defence. Population pressures in other countries which may have an impact on Australia could also be part of the research.

One grant of up to $24,000 is available for award every two years.

Funded activities are normally expected to have been undertaken within two years from the date of award. Awardees may apply for extensions due to extenuating circumstances or to apply for variations to remove or adapt to barriers encountered to their planned research or travel.

This grant does not provide funds for bench fees, managerial, visa, insurance or infrastructure costs.

Supporting institutes and awardees are required to ensure that any research they undertake that is funded by the Australian Academy of Science adheres to the Australian Code for the Responsible Conduct of research, severe breach of these codes may result in the withdrawal of current and refusal of future funding support. Research involving Indigenous Australians must comply with the guidelines for Ethical Research in Australian Indigenous Studies.

GUIDELINES

The following guidelines provide important information about eligibility, submission requirements, and assessment processes. Please review them carefully before submitting an application.

Focus of research

Research to be supported should aim to quantify various aspects of the human footprint, and to model likely ecological and other consequences.

AI Based Application Success Predictor

1. Strong scientific excellence and originality

The strongest applications typically demonstrate:

high-quality scientific questions,
novel concepts,
cutting-edge methodologies,
strong theoretical or translational significance,
clear advancement of the field.

Scientific merit is the single most important predictor of success.

2. Strong publication and academic track record

Successful applicants commonly show:

peer-reviewed publications,
impactful journals,
citation influence,
conference presentations,
prior research achievements,
evidence of scientific independence.

For early-career awards, trajectory and future potential are heavily weighted.

3. International collaboration strength

AAS programs strongly value:

international partnerships,
global scientific networks,
collaborative exchanges,
multinational research impact,
mobility and knowledge transfer.

Applications with clear international collaboration plans often score highly.

4. Strong methodological rigor and feasibility

Competitive proposals generally include:

robust study design,
realistic timelines,
appropriate analytical methods,
access to infrastructure,
reproducibility,
achievable milestones.

Weak feasibility planning is a common reviewer concern.

5. Alignment with strategic scientific priorities

Applications aligned with major Australian and global priorities tend to perform better, including:

climate science,
health and biomedical research,
AI and data science,
environmental sustainability,
energy transition,
biotechnology,
space science,
quantum technologies.

6. Innovation with broader scientific impact

High-scoring applications usually combine:

breakthrough science,
interdisciplinary integration,
advanced technologies,
translational potential,
future scalability.

Projects with both discovery value and long-term impact are highly competitive.

7. Strong mentorship and institutional environment

For fellowships and early-career schemes, reviewers heavily evaluate:

mentor expertise,
institutional infrastructure,
research environment,
collaborative support,
career-development planning.

Strong research ecosystems significantly improve competitiveness.

8. Leadership and scientific contribution potential

The Academy strongly values:

emerging research leadership,
mentoring capacity,
science communication,
national/international influence,
contributions to scientific communities.

Leadership trajectory can substantially strengthen applications.

9. Interdisciplinary and cross-sector collaboration

Competitive proposals increasingly involve:

academia-industry partnerships,
government collaboration,
interdisciplinary science teams,
translational and applied research networks.

Cross-sector impact is becoming increasingly important.

10. Potential for long-term national or global impact

Reviewers favor projects likely to:

generate larger national/international grants,
influence scientific policy,
support innovation ecosystems,
strengthen Australia’s global scientific standing,
produce high-impact discoveries.

Common Reasons for Rejection

Frequent reviewer concerns include:

insufficient novelty,
weak international collaboration rationale,
poor feasibility planning,
unclear impact pathway,
limited scientific significance,
unrealistic timelines,
weak career-development justification,
inadequate methodological detail.

Specialties

Data Science

Others

Eligibility Requirements

Applicants should be employed in an Australian university or research institution and should have completed a PhD not more than 10 years ago.* Persons engaged in research for a PhD may also be considered if their thesis topics are judged to be highly significant.

The Australian Academy of Science encourages applications from female candidates and from candidates from a broad geographical distribution.

Eligible Countries:

Australia

Sponsor Details

Sponsor Institute/Organizations: Australian Academy of Science

Sponsor Type: Corporate/Non-Profit

Address: Ian Potter House 9 Gordon Street Acton ACT 2601

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