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#research-and-development — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #research-and-development, aggregated by home.social.

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  1. @CaringKinderSociety
    Worth a listen 👂especially when Dr Sue Keay really gets going towards the end (but you need the start when a lot of the terms get explained - like ‘compute’ & ‘hyperscalers’). 😀

    ♥️ Love the info on the practical AI-robotics applications to control Crown of Thorns starfish & to migrate coral spawn to better temperatures for breeding so the Reef can move south. 🪸 (Didn’t know the Reef is the size of Italy!)

    So many questions! 🤔 Why don’t we back ourselves more, why do so many of our best & brightest have to leave to get/develop their work, why don’t we invest more in research & development? 🤔 And whatever happened to all the work done on AI under the first Albanese govt? How & why was it watered down to some statement of non-binding expectations… 🤔🤔🤔

    #GenerativeAI #AIRobotics #Robotics #AusPol #Australia #dataCentres #hyperscalers #neoCloud #ResearchAndDevelopment #ChangeManagement #countrywideChangeManagement

  2. @CaringKinderSociety
    Worth a listen 👂especially when Dr Sue Keay really gets going towards the end (but you need the start when a lot of the terms get explained - like ‘compute’ & ‘hyperscalers’). 😀

    ♥️ Love the info on the practical AI-robotics applications to control Crown of Thorns starfish & to migrate coral spawn to better temperatures for breeding so the Reef can move south. 🪸 (Didn’t know the Reef is the size of Italy!)

    So many questions! 🤔 Why don’t we back ourselves more, why do so many of our best & brightest have to leave to get/develop their work, why don’t we invest more in research & development? 🤔 And whatever happened to all the work done on AI under the first Albanese govt? How & why was it watered down to some statement of non-binding expectations… 🤔🤔🤔

    #GenerativeAI #AIRobotics #Robotics #AusPol #Australia #dataCentres #hyperscalers #neoCloud #ResearchAndDevelopment #ChangeManagement #countrywideChangeManagement

  3. Women in Science: Dr Jennifer D’Souza

    diesen Beitrag auf Deutsch lesen

    The blog series “Women in Science” introduces women from TIB who share insights into their careers and personal experiences in science. Dr Jennifer D’Souza studied Natural Language Processing at the University of Texas at Dallas, USA, and is now an AI/NLP research group lead at TIB.

    At TIB, she leads the “NLP for Scientific Information” research group within the Open Research Knowledge Graph (ORKG), a platform dedicated to making scientific knowledge more structured, machine-actionable, and accessible. Her group’s research explores how language models and other AI techniques can support scientific knowledge organization, while also investigating the evaluation and limitations of generative AI systems.
    In this interview, she shares what she finds most rewarding about a career in science, the lessons she has learned along the way, and her hopes for the next generation of women scientists.

    What fascinates you about working in science?

    Three aspects come to mind. First, science provides a systematic way to study questions and understand the world around us. It offers well-defined methods for engaging with complex problems and the vast amount of information that is constantly being produced.

    Dr Jennifer D‘Souza // Photo: TIB/C. Bierwagen

    This is closely connected to my own work on processing and organizing scientific knowledge.

    Second, I enjoy collaborating with like-minded people to build new systems and ideas together. Many scientific advances emerge through teamwork and the exchange of perspectives.

    Third, I value the opportunity to teach and communicate scientific ideas to the next generation. Sharing knowledge and helping others develop their own scientific thinking is a particularly rewarding aspect of academic work.

    As a woman in science, what would you have liked to have known earlier?

    The importance of building a research network. While the value people place on networking varies, many of the most interesting projects I have worked on originated through conversations with others – whether at workshops, conferences, research projects, or informal discussions.

    Over time, I came to appreciate how valuable it is to engage with the broader scientific community, meet people working on related problems, and exchange ideas. Simply attending workshops and events in areas that interest you can open unexpected opportunities for collaboration and learning.

    What advice would you give to girls and young women who are considering a career in science?

    Women often tend to second-guess themselves more than they should. I agree with many others who have highlighted the importance of confidence. Women should trust in their abilities and recognize that they belong in science just as much as anyone else.

    I would also encourage young women to share their ideas openly, engage in discussions, and not hesitate to create opportunities for themselves when they do not already exist. Science benefits from diverse perspectives, and we need more women contributing their voices to important scientific conversations.

    A wish for the future of women and girls in science …

    I would love to see a future in which women entering science no longer feel like they are exceptions in the room. In particular, I hope to see much more balanced representation in engineering and technology-related disciplines, starting in our classrooms. At the same time, I do not see this as a separate issue. Science is strongest when it reflects the diversity of society as a whole and when talented people from different backgrounds feel welcome to contribute. One thing I particularly appreciate is that we are already beginning to see this in many research environments, including at TIB, where diverse teams and perspectives are increasingly part of everyday scientific work. I look forward to a future where such diversity is simply the norm.

    Women in science – a blog series

    The blog series “Women in Science” introduces women at TIB who provide insights into their scientific careers, role models and experiences from their everyday working lives. They all share their perspectives and wishes for the future of science and encourage other women to take their place with confidence.

    #ORKG #OpenResearchKnowledgeGraph #ArtificialIntelligence #WomenInScience #LizenzCCBY40INT #ResearchAndDevelopment #AI
  4. No #EngineeringIntelligence without us!

    Women have always played a part in engineering and designing intelligent systems. Starting with early pioneers like Ada Lovelace, the mother of programming languages, over NASA’s Fortran expert Dorothy Vaughan, whose code sent people into space, to the many women working on computer science and AI today, women’s contributions continue to shape the world of interconnected knowledge. However, often these contributions go unnoticed or are attributed to men instead. Time to change that! As we celebrate this year’s International Women in Engineering Day under the theme of #EngineeringIntelligence, let’s take a look at what our female researchers and software developers have accomplished to make the Open Research Knowledge Graph an intelligent system.

    Who we are and what we do

    The Open Research Knowledge Graph, our lighthouse in the publication flood, is a non-profit platform for machine-actionable scholarly knowledge, combining semantic technologies, AI and human expertise to provide researchers with structured scientific knowledge from publications. Our system helps to find answers to research questions, compare publications, reproduce scientific findings and make research information findable, accessible, interoperable and reusable.

    ORKG’s success paved the way for many satellite systems, most notably the TIB Knowledge Loom for truly reproducible and reusable scientific knowledge and the TIB AIssisant, an AI agent supporting scientists throughout the whole research lifecycle.

    Many components interconnect to make an ecosystem like this possible, from data ingestion over quality control to displaying results. A team of more than 30 researchers, software developers and curation specialists work together to bring in diverse expertise and realize these components. With roughly one third of our team members, the ORKG team has a relatively high share in female researchers compared to the national average in Germany. In this article, we take a look at the contributions of eight women specifically from our team and their perspectives on the ORKG.

    Getting Data In

    The knowledge in the ORKG ecosystem has to come from somewhere and while AI extractions can be a good starting point, they do not replace human expertise. Crowd-sourced curation done by domain experts plays a huge role. The challenge is to structure this often unorganized knowledge, especially since domain experts are often not data curation experts. Human-machine collaboration is required. A large part of our PhD student Lena John’s research focuses on Human-In-The-Loop workflows to data curation. With ExtracTable, she developed a tool that creates a scientific corpus of literature, extracts knowledge and compiles it into structured comparisons, while providing user-friendly tabular interfaces for human validation and correction.

    Another of her tools, SciMantify turns already existing CSV files into structured knowledge with a guided semantification workflow.

    Learning Structure

    Dr. Jennifer D’Souza leads an NLP research group at TIB focused on scientific knowledge organization. Together with her team, she develops AI-supported tools and workflows for structuring, aligning, and publishing scientific knowledge. Among these tools are schema-miner, a tool for mining templates from large collections of research papers, making it easier to describe them in a structured, consistent format in the ORKG, as well as OntoAligner and OntoLearner, two libraries for AI-based workflows for ontology alignment across multiple scientific domains and ontology engineering. Together, these tools help make scientific knowledge more aligned and interconnected by using the same vocabulary and schema.

    Ensuring Quality

    “An application is only as good as the underlying data. As we move toward structured, human- and machine-readable knowledge, ensuring the quality of our knowledge graphs becomes increasingly important.“

    Lena John

    The SciKGDash Curation Dashboard provides a comprehensive overview of knowledge graph quality through interactive visualizations and supports curation workflows that help identify, track, and resolve quality issues. Its goal is to enable continuous improvement of the ORKG’s data quality and reliability.

    Getting Data Out

    As our PhD student Golsa Heidari states:

    “Good research has little impact if people cannot find it.”

    Her work focuses on making research more accessible through intelligent retrieval and knowledge organization. In one of her projects, she built a unit conversion system, allowing harmonization across different studies. By integrating third-party tools for systematic reviews, she makes ORKG even more useful. Additionally, she developed the basis for a dynamic multi-level faceted search for scientific knowledge.

    Mutahira Khalid, also a PhD student in the ORKG team, builds on this work with her smart filters, a context-aware filtering service that is proven to effectively reduce search noise.

    Making Science Reproducible

    “Scientific publishing should not be seen as the final product of research. Rather, it is the beginning of a new cycle where scientific findings contribute to solving complex environmental and social challenges.”

    Dr Lauren Snyder

    Science lives by exchange and collaboration. One researcher picks up another’s findings, continues their work, proves or disproves their theories, brings in their own perspective or uses old knowledge in a new context. For that, scientific statements need to be reusable, reproducible and open. The TIB Knowledge Loom, co-founded by Dr Lauren Snyder, tackles this challenge. With her background in ecology and biology, Lauren brings her experience with research workflows outside of computer science to enable a seamless integration.

    Venturing Into New Projects

    Our newest addition to our research projects is the TIB AIssistant, an AI tool that supports researchers throughout the whole scientific process. PhD student Farhana Keya focuses on the very first steps. Her work assists with idea generation, building an environment for researchers to brainstorm based on existing publications. To later on find more material, users can then use her federated research artifact search.

    Building A Frontend

    As a research web engineer, Qurat-ul Ain Aftab does more than just design a good-looking interface. She engineers the fronted data architectures that make Open Science accessible, bridging the gap between backend systems and seamless user experiences. The template graph view in ORKG is built on her work.

    Using The ORKG

    Dr Sanju Tiwari earned our curation grant several times by now and used it to prove that ORKG can advance her research on hallucination detection and mitigation in large language models. She already wrote several papers using the ORKG and got a lot of journal acceptances for them. Congratulations!

    Why This Matters

    Without the work of our many female researchers and developers, the ORKG would not be the system it is today. Just as a machine depends on every component working together, science and innovation thrive when we value and include the contributions of all researchers.

    Especially in the age of machine-learning and AI, it is necessary to include diverse perspectives to combat issues like the gender data gap and build systems for everyone.

    Only by recognizing and empowering intelligence in all people, we can truly start #EngineeringIntelligence.

    For further reading, we reccomend also our blog series Women in Science, featuring interviews with Lena John, Dr Lauren Snyder and many more women at TIB!

    #Forschung #FrauenAnDerTIB #WomenInScience #LizenzCCBY40INT #ResearchAndDevelopment #ORKG
  5. No #EngineeringIntelligence without us!

    Women have always played a part in engineering and designing intelligent systems. Starting with early pioneers like Ada Lovelace, the mother of programming languages, over NASA’s Fortran expert Dorothy Vaughan, whose code sent people into space, to the many women working on computer science and AI today, women’s contributions continue to shape the world of interconnected knowledge. However, often these contributions go unnoticed or are attributed to men instead. Time to change that! As we celebrate this year’s International Women in Engineering Day under the theme of #EngineeringIntelligence, let’s take a look at what our female researchers and software developers have accomplished to make the Open Research Knowledge Graph an intelligent system.

    Who we are and what we do

    The Open Research Knowledge Graph, our lighthouse in the publication flood, is a non-profit platform for machine-actionable scholarly knowledge, combining semantic technologies, AI and human expertise to provide researchers with structured scientific knowledge from publications. Our system helps to find answers to research questions, compare publications, reproduce scientific findings and make research information findable, accessible, interoperable and reusable.

    ORKG’s success paved the way for many satellite systems, most notably the TIB Knowledge Loom for truly reproducible and reusable scientific knowledge and the TIB AIssisant, an AI agent supporting scientists throughout the whole research lifecycle.

    Many components interconnect to make an ecosystem like this possible, from data ingestion over quality control to displaying results. A team of more than 30 researchers, software developers and curation specialists work together to bring in diverse expertise and realize these components. With roughly one third of our team members, the ORKG team has a relatively high share in female researchers compared to the national average in Germany. In this article, we take a look at the contributions of eight women specifically from our team and their perspectives on the ORKG.

    Getting Data In

    The knowledge in the ORKG ecosystem has to come from somewhere and while AI extractions can be a good starting point, they do not replace human expertise. Crowd-sourced curation done by domain experts plays a huge role. The challenge is to structure this often unorganized knowledge, especially since domain experts are often not data curation experts. Human-machine collaboration is required. A large part of our PhD student Lena John’s research focuses on Human-In-The-Loop workflows to data curation. With ExtracTable, she developed a tool that creates a scientific corpus of literature, extracts knowledge and compiles it into structured comparisons, while providing user-friendly tabular interfaces for human validation and correction.

    Another of her tools, SciMantify turns already existing CSV files into structured knowledge with a guided semantification workflow.

    Learning Structure

    Dr. Jennifer D’Souza leads an NLP research group at TIB focused on scientific knowledge organization. Together with her team, she develops AI-supported tools and workflows for structuring, aligning, and publishing scientific knowledge. Among these tools are schema-miner, a tool for mining templates from large collections of research papers, making it easier to describe them in a structured, consistent format in the ORKG, as well as OntoAligner and OntoLearner, two libraries for AI-based workflows for ontology alignment across multiple scientific domains and ontology engineering. Together, these tools help make scientific knowledge more aligned and interconnected by using the same vocabulary and schema.

    Ensuring Quality

    “An application is only as good as the underlying data. As we move toward structured, human- and machine-readable knowledge, ensuring the quality of our knowledge graphs becomes increasingly important.“

    Lena John

    The SciKGDash Curation Dashboard provides a comprehensive overview of knowledge graph quality through interactive visualizations and supports curation workflows that help identify, track, and resolve quality issues. Its goal is to enable continuous improvement of the ORKG’s data quality and reliability.

    Getting Data Out

    As our PhD student Golsa Heidari states:

    “Good research has little impact if people cannot find it.”

    Her work focuses on making research more accessible through intelligent retrieval and knowledge organization. In one of her projects, she built a unit conversion system, allowing harmonization across different studies. By integrating third-party tools for systematic reviews, she makes ORKG even more useful. Additionally, she developed the basis for a dynamic multi-level faceted search for scientific knowledge.

    Mutahira Khalid, also a PhD student in the ORKG team, builds on this work with her smart filters, a context-aware filtering service that is proven to effectively reduce search noise.

    Making Science Reproducible

    “Scientific publishing should not be seen as the final product of research. Rather, it is the beginning of a new cycle where scientific findings contribute to solving complex environmental and social challenges.”

    Dr Lauren Snyder

    Science lives by exchange and collaboration. One researcher picks up another’s findings, continues their work, proves or disproves their theories, brings in their own perspective or uses old knowledge in a new context. For that, scientific statements need to be reusable, reproducible and open. The TIB Knowledge Loom, co-founded by Dr Lauren Snyder, tackles this challenge. With her background in ecology and biology, Lauren brings her experience with research workflows outside of computer science to enable a seamless integration.

    Venturing Into New Projects

    Our newest addition to our research projects is the TIB AIssistant, an AI tool that supports researchers throughout the whole scientific process. PhD student Farhana Keya focuses on the very first steps. Her work assists with idea generation, building an environment for researchers to brainstorm based on existing publications. To later on find more material, users can then use her federated research artifact search.

    Building A Frontend

    As a research web engineer, Qurat-ul Ain Aftab does more than just design a good-looking interface. She engineers the fronted data architectures that make Open Science accessible, bridging the gap between backend systems and seamless user experiences. The template graph view in ORKG is built on her work.

    Using The ORKG

    Dr Sanju Tiwari earned our curation grant several times by now and used it to prove that ORKG can advance her research on hallucination detection and mitigation in large language models. She already wrote several papers using the ORKG and got a lot of journal acceptances for them. Congratulations!

    Why This Matters

    Without the work of our many female researchers and developers, the ORKG would not be the system it is today. Just as a machine depends on every component working together, science and innovation thrive when we value and include the contributions of all researchers.

    Especially in the age of machine-learning and AI, it is necessary to include diverse perspectives to combat issues like the gender data gap and build systems for everyone.

    Only by recognizing and empowering intelligence in all people, we can truly start #EngineeringIntelligence.

    For further reading, we reccomend also our blog series Women in Science, featuring interviews with Lena John, Dr Lauren Snyder and many more women at TIB!

    #WomenInScience #LizenzCCBY40INT #ResearchAndDevelopment #ORKG #Forschung #FrauenAnDerTIB
  6. Can AI transform life sciences without better data? In this opinion piece, Imperagen CEO Guy Levy-Yurista argues that the biggest challenge is not the models themselves, but the quality and structure of the underlying data. He explains why a "closed-loop" approach is essential to unlocking real value in biotech, drug discovery and R&D.

    Opinion article here: techfinitive.com/opinions/why-

    #AI #Healthcare #LifeSciences #researchanddevelopment

  7. Can AI transform life sciences without better data? In this opinion piece, Imperagen CEO Guy Levy-Yurista argues that the biggest challenge is not the models themselves, but the quality and structure of the underlying data. He explains why a "closed-loop" approach is essential to unlocking real value in biotech, drug discovery and R&D.

    Opinion article here: techfinitive.com/opinions/why-

    #AI #Healthcare #LifeSciences #researchanddevelopment

  8. Singapore Researchers Harmonize Diverse SIEMs with Agentic Rule Translation

    Imagine having multiple Security Information and Event Management platforms working in perfect harmony - Singapore researchers have made this a reality by developing a game-changing approach called agentic rule translation, enabling seamless interoperability between diverse SIEMs.…

    osintsights.com/singapore-rese

    #SiemInteroperability #AgenticSystems #SecurityInformationAndEventManagement #Singapore #ResearchAndDevelopment

  9. React-Like JSX Syntax for Webcomponents

    TLDR: I’ve been #experimenting with react-like jsx-syntax with webcomponents to see if I could theoretically replace #React in one of my larger #software projects. It is not ready for production use, but rather a #Research exploration into #CustomElements and #ModernJS performance.

    The goal was to build #FunctionalWebComponents that handle #StateManagement and #DOM updates without the overhead of a massive #JavaScript framework. By leveraging #StandardWebAPIs and #Proxy objects, I’ve managed to create a #Reactive programming model that feels familiar but stays closer to the #Platform.

    Check out the full #TechnicalTutorial and #DeepDive here: positive-intentions.com/docs/r

    (Disclosure: this project may be getting deprecated. Sharing this because it might still be interesting or educational.)

    #WebDevelopment #Frontend #BuildTheWeb #NoFramework #JS #JSX #WebStandards #Coding #ResearchAndDevelopment #VanillaJS #SoftwareEngineering #TechBlog #WebDevCommunity

  10. React-Like JSX Syntax for Webcomponents

    TLDR: I’ve been #experimenting with react-like jsx-syntax with webcomponents to see if I could theoretically replace #React in one of my larger #software projects. It is not ready for production use, but rather a #Research exploration into #CustomElements and #ModernJS performance.

    The goal was to build #FunctionalWebComponents that handle #StateManagement and #DOM updates without the overhead of a massive #JavaScript framework. By leveraging #StandardWebAPIs and #Proxy objects, I’ve managed to create a #Reactive programming model that feels familiar but stays closer to the #Platform.

    Check out the full #TechnicalTutorial and #DeepDive here: positive-intentions.com/docs/r

    (Disclosure: this project may be getting deprecated. Sharing this because it might still be interesting or educational.)

    #WebDevelopment #Frontend #BuildTheWeb #NoFramework #JS #JSX #WebStandards #Coding #ResearchAndDevelopment #VanillaJS #SoftwareEngineering #TechBlog #WebDevCommunity

  11. Women in Science: Dr Anna-Lena Lorenz

    diesen Beitrag auf Deutsch lesen

    The blog series “Women in Science” introduces women from the TIB who give insights into their careers and personal experiences in science. Dr Anna-Lena Lorenz studied physics at Bielefeld University and is now working as a community manager at TIB. There she is responsible for the Open Research Knowledge Graph (ORGK) and the ORKG Ask service. In this interview, she talks about the wide variety of scientific work, the importance of exchange and collaboration, and why it is important not to be limited by role models.

    Dr Anna-Lena Lorenz // Photo: TIB/C. Bierwagen

    What fascinates you about working in science?

    Working in science is not a dull routine. The tasks are so diverse and I have so much room to explore interesting topics and develop my own ideas and solutions. In science, I have met many wonderful people with similar interests and, thanks to the international context, I have been exposed to cultures and perspectives that I would never have encountered otherwise.

    As a woman in science, what would you have liked to have known earlier?

    I wish I had known earlier that it is acceptable to ask questions and that it is even part of the process. When I thought of a “scientist”, I used to have the stereotype of a lonely, mostly male, solitary genius who could figure out the answers to every question on their own. But in reality, science involves a great deal of collaboration; it thrives on exchange and different areas of expertise.

    For a long time, I believed I had to choose between femininity and science because my more feminine interests would make me seem like a lesser scientist and my interest in science would make me seem too masculine. But the fact that I like to wear dresses and bake in my spare time has no bearing on my understanding of data. Just as it doesn’t make me any less of a woman that I find elementary particles and artificial intelligence exciting.

    What advice would you give to girls and young women who are considering a career in science?

    Never doubt your place! Whether it’s a place at university, a job or a presentation at a renowned conference – you’re not here because you’re a woman, but because you’ve done a good job.

    Form alliances! It is so important to exchange ideas with like-minded people. Friends who also work in science are great, of course, but there are also many other opportunities to exchange ideas, for example through the many networks offered at universities.

    A wish for the future of women and girls in science …

    I wish that the phrase “That’s quite unusual for a girl” would die out. It would be cool if books, films and TV series featured more women as scientists, hackers or mechanics, but without them having to be “masculine”.

    Women in science – a blog series

    The blog series “Women in Science” introduces women at TIB who provide insights into their scientific careers, role models and experiences from their everyday working lives. They all share their perspectives and wishes for the future of science and encourage other women to take their place with confidence.

    #Science #WomenInScience #LizenzCCBY40INT #ResearchAndDevelopment #ORKG #ORKGAsk
  12. Women in Science: Dr Anna-Lena Lorenz

    diesen Beitrag auf Deutsch lesen

    The blog series “Women in Science” introduces women from the TIB who give insights into their careers and personal experiences in science. Dr Anna-Lena Lorenz studied physics at Bielefeld University and is now working as a community manager at TIB. There she is responsible for the Open Research Knowledge Graph (ORGK) and the ORKG Ask service. In this interview, she talks about the wide variety of scientific work, the importance of exchange and collaboration, and why it is important not to be limited by role models.

    Dr Anna-Lena Lorenz // Photo: TIB/C. Bierwagen

    What fascinates you about working in science?

    Working in science is not a dull routine. The tasks are so diverse and I have so much room to explore interesting topics and develop my own ideas and solutions. In science, I have met many wonderful people with similar interests and, thanks to the international context, I have been exposed to cultures and perspectives that I would never have encountered otherwise.

    As a woman in science, what would you have liked to have known earlier?

    I wish I had known earlier that it is acceptable to ask questions and that it is even part of the process. When I thought of a “scientist”, I used to have the stereotype of a lonely, mostly male, solitary genius who could figure out the answers to every question on their own. But in reality, science involves a great deal of collaboration; it thrives on exchange and different areas of expertise.

    For a long time, I believed I had to choose between femininity and science because my more feminine interests would make me seem like a lesser scientist and my interest in science would make me seem too masculine. But the fact that I like to wear dresses and bake in my spare time has no bearing on my understanding of data. Just as it doesn’t make me any less of a woman that I find elementary particles and artificial intelligence exciting.

    What advice would you give to girls and young women who are considering a career in science?

    Never doubt your place! Whether it’s a place at university, a job or a presentation at a renowned conference – you’re not here because you’re a woman, but because you’ve done a good job.

    Form alliances! It is so important to exchange ideas with like-minded people. Friends who also work in science are great, of course, but there are also many other opportunities to exchange ideas, for example through the many networks offered at universities.

    A wish for the future of women and girls in science …

    I wish that the phrase “That’s quite unusual for a girl” would die out. It would be cool if books, films and TV series featured more women as scientists, hackers or mechanics, but without them having to be “masculine”.

    Women in science – a blog series

    The blog series “Women in Science” introduces women at TIB who provide insights into their scientific careers, role models and experiences from their everyday working lives. They all share their perspectives and wishes for the future of science and encourage other women to take their place with confidence.

    #Science #WomenInScience #LizenzCCBY40INT #ResearchAndDevelopment #ORKG #ORKGAsk
  13. I really appreciate that the importance of the experimental research for innovations is emphasized in such a nice way. (btw. Canatu is a Finnish company on area of carbon nanotubes)

    “My approach has been to innovate by doing. Being present and involved in experimentation and development allows you to spot innovations that might otherwise be missed.”

    linkedin.com/posts/canatu_cana

    #Innovation #ExperimentalWork #ResearchAndDevelopment

  14. I really appreciate that the importance of the experimental research for innovations is emphasized in such a nice way. (btw. Canatu is a Finnish company on area of carbon nanotubes)

    “My approach has been to innovate by doing. Being present and involved in experimentation and development allows you to spot innovations that might otherwise be missed.”

    linkedin.com/posts/canatu_cana

    #Innovation #ExperimentalWork #ResearchAndDevelopment

  15. DATE: October 01, 2025 at 05:30PM
    SOURCE: BioWorld MedTech

    Direct article link at end of text block below.

    .@Convatec commits over $1B to R&D in UK, US

    t.co/JE55jFD4og

    #medtech #ResearchandDevelopment

    Here are any URLs found in the article text:

    t.co/JE55jFD4og

    #medtech

    Articles can be found by scrolling down the page at bioworld.com/topics/85-bioworl .

    -------------------------------------------------

    Private, vetted email list for mental health professionals: clinicians-exchange.org
    .
    NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
    .
    Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: nationalpsychologist.com
    .
    EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE:
    subscribe-article-digests.clin
    .
    READ ONLINE: read-the-rss-mega-archive.clin
    .
    It's primitive... but it works... mostly...
    .
    -------------------------------------------------

    #healthcare #healthtech #healthcaretech #healthtechnology #medgadget #medicine #doctor #hospital #medtech

  16. DATE: October 01, 2025 at 05:30PM
    SOURCE: BioWorld MedTech

    Direct article link at end of text block below.

    .@Convatec commits over $1B to R&D in UK, US

    t.co/JE55jFD4og

    #medtech #ResearchandDevelopment

    Here are any URLs found in the article text:

    t.co/JE55jFD4og

    #medtech

    Articles can be found by scrolling down the page at bioworld.com/topics/85-bioworl .

    -------------------------------------------------

    Private, vetted email list for mental health professionals: clinicians-exchange.org
    .
    NYU Information for Practice puts out 400-500 good quality health-related research posts per week but its too much for many people, so that bot is limited to just subscribers. You can read it or subscribe at @PsychResearchBot
    .
    Since 1991 The National Psychologist has focused on keeping practicing psychologists current with news, information and items of interest. Check them out for more free articles, resources, and subscription information: nationalpsychologist.com
    .
    EMAIL DAILY DIGEST OF RSS FEEDS -- SUBSCRIBE:
    subscribe-article-digests.clin
    .
    READ ONLINE: read-the-rss-mega-archive.clin
    .
    It's primitive... but it works... mostly...
    .
    -------------------------------------------------

    #healthcare #healthtech #healthcaretech #healthtechnology #medgadget #medicine #doctor #hospital #medtech

  17. We have multiple open positions at VTT. Our team Medical Microsystems is looking for Masters Thesis worker and Research Scientist for frontend MEMS process development. Please check the open positions if your skills match. We have a great team to offer and challenges to solve.

    vttresearch.com/en/careers/com

    #OpenPosition #ResearchAndDevelopment #VTTFinland