Semantic Search uses AI models to interpret your search query. This means it can use the context and is able to find synonyms for the words that you provide. Semantic Search benefits from more context! So in contrast to what many people are familiar with, longer queries actually perform better.

Global Campus primarily uses the data generously provided by OpenAlex (openalex.org). In addition, Global Campus also aggregates research project information and even allows semantic search on some proprietary datasets brought by customers.

The simple answer is, because we don't know what the gender of the academics are. The current way how other providers show gender, is with AI-based approaches. With a few exceptions, like on LinkedIn, where you control your own profile and can state your gender yourself. The AI-approaches used by others is a concerning practice in our view since the models used to ‘guess’ the gender of these people are first of all not outperforming humans in guessing someone's gender. And secondly, it implies you are making up personal information, which is in our view in direct contradiction with the GDPR.

There are a few potential reasons when you can't find the information you expected. First of all, there could be errors in the data of OpenAlex where a specific publication that would match your query is linked to the wrong authors, therefore we are suggesting the wrong people. Send a request to OpenAlex to improve the data here: Secondly, we only match back with academic publications back to January 2018. If you expected to find someone based on an older paper, the most likely reason that we are not finding that person is because the signatory paper is not included in the search. We only match back to 2018 to ensure the results are relatively recent. We don't want to suggest an expert based on a 25 year old paper, we want to suggest experts based on their work in the last couple of years in that topic.

Yes, Global Campus is compliant with GDPR. We use data from a public database, OpenAlex. The ground for processing is grounded in legitimate interest. There is a prevalent movement within academia advocating for open science and a longstanding tradition of peer interaction. Global Campus proudly stands as the inaugural platform in academia to align with this tradition by utilising open-source data, distinguishing themselves from other vendors reliant on proprietary data. Embracing open source within academia aligns with various declarations, such as DORA, and supporting the growing trend among funders and organisations to promote FAIR principles (making data findable, accessible, interoperable, and reusable).