greenfielddata.bsky.social
@greenfielddata.bsky.social
GreenFieldData is a project carried out under a Marie Skłodowska-Curie Action – Joint Doctorate (MSCA Joint Doctorate), funded by the European Union.
Gender equality in science and innovation is critical for transforming agrifood systems.
Women remain underrepresented in STEM education, research careers, and innovation spaces.
FAO’s Charles Spillane, Mona Chaya and Preet Lidder explain why closing this gap is essential: lnkd.in/dvjF_Zgq
Women remain underrepresented in STEM education, research careers, and innovation spaces.
FAO’s Charles Spillane, Mona Chaya and Preet Lidder explain why closing this gap is essential: lnkd.in/dvjF_Zgq
February 12, 2026 at 9:27 AM
Gender equality in science and innovation is critical for transforming agrifood systems.
Women remain underrepresented in STEM education, research careers, and innovation spaces.
FAO’s Charles Spillane, Mona Chaya and Preet Lidder explain why closing this gap is essential: lnkd.in/dvjF_Zgq
Women remain underrepresented in STEM education, research careers, and innovation spaces.
FAO’s Charles Spillane, Mona Chaya and Preet Lidder explain why closing this gap is essential: lnkd.in/dvjF_Zgq
On 11 February, GreenFieldData celebrates the International Day of Women and Girls in Science. Smart agriculture with diverse perspectives to address complex challenges. Girls can design sensors, build robots, develop data pipelines, and create responsible AI to support farmers and ecosystems.
February 11, 2026 at 12:09 PM
On 11 February, GreenFieldData celebrates the International Day of Women and Girls in Science. Smart agriculture with diverse perspectives to address complex challenges. Girls can design sensors, build robots, develop data pipelines, and create responsible AI to support farmers and ecosystems.
On February 11th, GreenFieldData celebrates the International Day of Women and Girls in Science
Smart agriculture needs diverse perspectives to tackle complex challenges. Girls can design sensors, build robots, develop data pipelines, and create responsible AI to support farmers and ecosystems.
Smart agriculture needs diverse perspectives to tackle complex challenges. Girls can design sensors, build robots, develop data pipelines, and create responsible AI to support farmers and ecosystems.
February 11, 2026 at 12:04 PM
On February 11th, GreenFieldData celebrates the International Day of Women and Girls in Science
Smart agriculture needs diverse perspectives to tackle complex challenges. Girls can design sensors, build robots, develop data pipelines, and create responsible AI to support farmers and ecosystems.
Smart agriculture needs diverse perspectives to tackle complex challenges. Girls can design sensors, build robots, develop data pipelines, and create responsible AI to support farmers and ecosystems.
Through Gender+ actions in research, we can empower women farmers ... stay tuned for the actions in #EU4GreenFieldData
February 1, 2026 at 3:55 PM
Through Gender+ actions in research, we can empower women farmers ... stay tuned for the actions in #EU4GreenFieldData
PhD position: Conversational AI for Sustainable Agriculture
Natural Language Interfaces over Robotic and Analytical Farming Systems
Full position description: www.eu4greenfielddata.eu/Media/Files/...
Apply here before 15 April 2026: ec.europa.eu/eusurvey/run...
Natural Language Interfaces over Robotic and Analytical Farming Systems
Full position description: www.eu4greenfielddata.eu/Media/Files/...
Apply here before 15 April 2026: ec.europa.eu/eusurvey/run...
www.eu4greenfielddata.eu
January 31, 2026 at 3:01 PM
PhD position: Conversational AI for Sustainable Agriculture
Natural Language Interfaces over Robotic and Analytical Farming Systems
Full position description: www.eu4greenfielddata.eu/Media/Files/...
Apply here before 15 April 2026: ec.europa.eu/eusurvey/run...
Natural Language Interfaces over Robotic and Analytical Farming Systems
Full position description: www.eu4greenfielddata.eu/Media/Files/...
Apply here before 15 April 2026: ec.europa.eu/eusurvey/run...