Survey Shows Europeans Trust Science but Want Fairer Benefits

A new survey from the European Commission reveals that most Europeans trust science and technology but want their benefits to be more evenly distributed. The Eurobarometer survey, conducted across the EU, the Western Balkans, Türkiye, and the UK, found that 83% of respondents see science and technology as having a positive influence.

Science Should Benefit Everyone

Two-thirds (67%) of those surveyed said science and technology make life easier, healthier, and more comfortable. However, many believe that these advancements primarily help businesses make money rather than benefiting society as a whole.

European Commissioner for Startups, Research, and Innovation Ekaterina Zaharieva emphasized the importance of openness and fairness in science. She stated that research should promote transparency, integrity, and public engagement to meet citizens’ expectations.

Public Support for Inclusive Research

Most respondents want science to be more inclusive. A majority (77%) said research should consider the needs of all groups, and 72% believe governments should ensure that new technologies benefit everyone.

Gender equality in science and technology also received strong support. Nearly 70% of respondents believe it would create a fairer society, while 63% said it would improve research outcomes.

Young people are also seen as major beneficiaries of scientific progress. Over two-thirds (68%) think science will create more opportunities for future generations, and 61% believe it prepares them to be well-informed citizens.

Growing Demand for Open Science

The survey highlights strong public demand for free access to scientific research. A large majority (80%) believe that publicly funded research should be freely available online. This aligns with the EU’s Open Science initiative, which promotes the early and open sharing of research results.

Under Horizon Europe, the EU requires immediate open access to scientific publications. This builds on progress made under Horizon 2020, where open-access publication rates increased from 65% in 2014 to 86% in 2019.

AI and Trust in Scientific Research

Artificial Intelligence (AI) is playing a growing role in scientific research, but public trust remains mixed. Half (50%) of respondents believe AI can drive discoveries in critical areas such as climate change and health. However, only 38% trust research conducted with AI, while 25% are skeptical.

Concerns about AI extend to human rights. Around 58% of respondents worry that scientific applications of AI could pose risks. The European Commission has acknowledged these concerns and is working to ensure AI advancements respect fundamental rights.

Long-Term Public Opinion Trends

Eurobarometer has been tracking public attitudes toward science and technology for decades. This latest survey continues a series conducted in 2021, 2013, 2010, and 2005.

While overall trust in science remains strong, the findings suggest a growing public demand for fairness, transparency, and broader access to the benefits of scientific progress.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.