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Early-career perspectives on ecosystem services science

Welcome

Early-career perspectives on ecosystem services science

A survey on capacity, AI use, impact, and support needs.

This survey explores opportunities, challenges, and support needs among those working in ecosystem services (ES) science, policy, and practice.

Survey information

Anonymous Research use only about 20 minutes Pause & resume

Thank you for deciding to participate in this study!

The aim of this study is to understand how early-career researchers and professionals experience the ecosystem services field, focusing on their career profiles, skills, working conditions, AI tool use, perceived impact, and support needs.

Here, ecosystem services is used broadly to include related approaches such as nature's contributions to people, natural capital, and ecosystem accounting, where relevant.

The survey has been designed by an international group of early-career researchers in ecosystem services science, in collaboration with the Young Ecosystem Services Specialists (YESS) network.

Although the survey can be completed on a mobile phone, we recommend using a computer for better readability.

You may stop at any point before final submission and resume later using the name and password you set (see "Load unfinished survey"). Incomplete responses will not be included in the study dataset.

This is a thorough survey, and completing it fully makes a real difference to understanding and supporting early-career researchers in ecosystem services. Thank you for the time you give it.

Data controller: Humboldt-Universität zu Berlin, Geography Department. The survey is hosted on the HU Berlin LimeSurvey instance (umfrage.hu-berlin.de), operated by the Computer- und Medienservice (CMS).

Ethics approval: Ethics Commission, Faculty of Mathematics and Natural Sciences, Humboldt-Universität zu Berlin

Contact: João David, Humboldt-Universität zu Berlin, Germany (e-mail: joao.david@hu-berlin.de).

Please review the data-protection notice below, tick the consent checkbox, and click Next to begin.

Survey sections
A — Career profileBackground and early-career identity
B — Community engagementMotivations, activities, and future engagement
C — CapacitySkills, preparedness, and structural barriers
D — Artificial Intelligence (AI) toolsUse and perceptions of AI
E — ImpactResearch impact and field perceptions
F — SupportNetworks, resources, and institutional support
G — Equity demographicsInclusion and demographics
S1 — Recruitment channelHow you found the survey
This survey is anonymous.

The record of your survey responses does not contain any identifying information about you, unless a specific survey question explicitly asked for it.

If you used an identifying access code to access this survey, please rest assured that this code will not be stored together with your responses. It is managed in a separate database and will only be updated to indicate whether you did (or did not) complete this survey. There is no way of matching identification access codes with survey responses.

Privacy policy

Data privacy according to Art. 13 GDPR (DSGVO) and consent form

Purpose and legal basis of data processing

As part of an international group of early-career researchers in collaboration with the Young Ecosystem Services Specialists (YESS) Network, we conduct this survey to characterise the career profiles, capacities, AI use, perceived impact, and support needs of early-career researchers and professionals in ecosystem services science. The legal basis is Article 6 (1) Sentence 1 (a) of the General Data Protection Regulation (DSGVO).

The obtained data will be anonymised and stored on the HU Berlin LimeSurvey instance (umfrage.hu-berlin.de), operated by the HU Berlin Computer- und Medienservice (CMS), with data kept on HU Berlin servers.

Partial responses are stored until you complete the survey or it expires. If you choose to pause and continue later, you will be asked to set a name and password (and, optionally, an email address to receive a return link); these are used only to retrieve your saved answers and are removed once you complete the survey or when it closes. We do not record your IP address or submission timestamps, and your responses are stored without identifiers.

During data analysis, we retain your data within the project team and only make it available to team members who need it for analysis purposes. This does not apply if we are legally obliged to share it.

With your consent, we would like to publish the results as part of a peer-reviewed publication. Only anonymised data will be published.

For archiving and review purposes, the survey data will be archived on the technical systems of Humboldt-Universität zu Berlin for the time of analysis and for a further 10 years, in accordance with the guidelines of the German Research Foundation (DFG) for good scientific practice.

Your Right to Withdraw Your Consent

You have the right to withdraw your consent at any time, with effect for the future. The withdrawal can be made informally.

Your Other Rights

You have the right to request information, correction, deletion, restriction, and data portability under Articles 15–20 DSGVO.

To exercise your rights, please contact:

Humboldt-Universität zu Berlin — Data Protection Officer
Unter den Linden 6, 10099 Berlin — datenschutz@uv.hu-berlin.de

For data protection complaints, please contact:

Berliner Beauftragte für Datenschutz und Informationsfreiheit
Friedrichstraße 219, 10969 Berlin — mailbox@datenschutz-berlin.de

 
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