Women researchers by sectors

Infodata

Women researchers by sectors

Classification

Tags

Subject areas

Related content

Article

The STEM field is failing to attract female talent

In Spain, only 16% of STEM professionals are women. We analyse this gender gap.

Article

Evolution of science and technology in Portugal and Spain

The European Union set a target for the business sector to invest 2% of GDP in R&D. How is the convergence of Spain and Portugal towards this goal progressing?

Activity

Discussion "Research and Innovation in Spain and Portugal"

What are the most decisive factors in a country’s research and innovation systems? You can see the video of the discussion we organised to debate this issue here.

Best practices

The use of public engagement for technological innovation

What is society’s opinion regarding the possible impacts of science and technology? Establishing citizen participation mechanisms is necessary to generate confidence and detect points for improvement.

Infodata

Expenditure on R&D by sectors

In 2019, the percentage of total public spending assigned to R&D was 1.24% in Spain and 0.82% in Portugal, both below the EU-27 average.

You may also find interesting

Gambling addiction in adolescence: betting, technologies and drug use

Article

Gambling addiction in adolescence: betting, technologies and drug use


Science

According to this study, the most popular form of gambling among teenagers is sports betting, and there is a higher level of online gambling addiction among boys.

From Moderate to Hyperconnected Users: Six Smartphone Use Profiles and Their Impact on Personal Well-being

Article

From Moderate to Hyperconnected Users: Six Smartphone Use Profiles and Their Impact on Personal Well-being


Science

What use are young Spaniards making of mobile phones? This study indicates that 19% are hyperconnected, showing difficulties in controlling the use of this technology.

Can algorithms expose tax fraud?

Article

Can algorithms expose tax fraud?


Science

Things are becoming increasingly difficult for tax evaders, with the new big data and artificial intelligence techniques that detect hidden wealth, the abuse of aggressive tax engineering and money laundering.