Dear Anitha Roshan Sagarkar – thank you for giving me a moment of amusement. Bruce Weaver – I guess your response was the best out of two, which is some kind of distinction…
I do have to tell you, however, Anitha Roshan Sagarkar , that researchgate metrics are no longer influenced by posting nonsense questions. There was an epidemic of this – people using ChatGPT even, when they were clearly not clever enough to think of their own questions, if you can imagine this. As a result of this epidemic of junk questions, RG eliminated their metric that was based on the quality of your community participation. I'm sure you will be disappointed by this, but in the end the forum became overrun by people – often operating as a cartel – who were recommending each other's rubbish questions and answers.
Well said, Ronán Michael Conroy. I hope you will consider posting that main paragraph (or a modified version of it) to a new question or discussion so that other members can link to it when responding to the many other "junk" questions that are now appearing so frequently.
PS- I was gobsmacked when my first post in this thread was marked as the best answer. I'm sure you were too, given that it suggested most of the other "questions" posted by the OP were also junk posts, not actual questions.
Research Gate had become contaminated by people who wanted to climb the academic ladder without much experience and effort. And the availability of AI enabled them to cheat; consistently called out on this platform from the beginning.
In those days genuine interesting questions did however come through. And I would like to think I was able to help, say, the beginning Phd student who frankly had an incompetent supervisor.
However, now I very rarely get an interesting question. Where have they all gone? The qualitative social science get more, but it all seems rudimentary. Am I missing something. RG has become somewhere I no longer learn; a great pity. I hope I am just missing out.
Thank you for sharing your thoughts. I completely understand your bemusement with the current state of ResearchGate. It's unfortunate that some individuals seem to be more focused on climbing the academic ladder without necessarily gaining the experience or effort that truly enriches the academic community. The rise of AI tools has certainly added complexity to this situation, and I commend your persistence in calling attention to this issue.
I also resonate with your feelings of nostalgia for the more meaningful and interesting questions that once came through.
ANYHOW I WOULD LIKE TO BRING IN THE POSITIVE GIST TO THE PRESENT CONVERSATION:
- As someone working in a developing country with multiple research projects on my plate, I understand how challenging it can be to balance these demands. However, this has also provided me with opportunities to engage in certification programs in biostatistics and research methodology, enhancing my skills in ways I hadn’t anticipated.
- As research scholars, we are naturally bound to have many questions, and platforms like ResearchGate have been invaluable for seeking answers. I’ve greatly appreciated the community here, and I owe a lot to the members who have shared their expertise and answered my queries. My own contributions have largely focused on sharing my field experiences and the challenges I’ve faced as a research scholar, along with the solutions that have helped me navigate them.
- Thanks to ResearchGate, I’ve been fortunate to connect with experts working in the same areas. For example, I’ve recently completed a bibliometric analysis paper—my second one—thanks to a fruitful collaboration that emerged through this platform. I’m also grateful to the few individuals who have taken the time to openly respond to my questions, offering much-needed guidance. ResearchGate has truly been a wonderful learning platform, where professionals at different stages of their careers can interact, learn, and grow together.
- Thank you once again to everyone who has contributed to my journey thus far, and I remain hopeful that this community will continue to provide opportunities for collaboration and growth.
Biostatistics is evolving with key trends such as:
Big Data and Machine Learning: The use of large datasets and advanced algorithms is improving predictive modeling and personalized medicine.
Precision Medicine: Biostatistics is becoming central to analyzing genetic and molecular data to tailor treatments to individuals.
Reproducibility and Open Science: Emphasis on transparent methodologies, open data sharing, and reproducible research.
Real-time Data Analysis: Increased focus on analyzing real-time data, particularly in public health surveillance and response.
Multidisciplinary Collaboration: Greater integration of biostatistics with other fields like genomics, epidemiology, and computer science to address complex health issues.
These trends are driving more accurate, efficient, and individualized healthcare solutions.
I may be wrong, Chuck A Arize, but the material you posted looks (to me) like AI-generated content. If it is, please tell us which chat-bot you used and what prompt you gave it. Thank you.