Maria Machado’s Post

A fantastic read from Alice Meadows, Jasmine Wallace, and Karin Wulf who address the topical and timely questions this #PeerReviewWeek: - What does innovation in technology for #peerreview look like? - What is, or would be, the most valuable innovation in peer review for your community? - What opportunities and challenges does AI present in scholarly publishing? - How would we want to use technology in the service of peer review? Would it be equally valuable across all disciplines and communities or would it simply amplify existing differences and inequities? Peer Review Week Society for Scholarly Publishing

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Tired of research roadblocks? AnswerThis is your new secret weapon. Unlock a world where confirmation bias dissolves, literature reviews become a breeze, and interdisciplinary insights are at your fingertips. Our AI-powered assistant doesn't just streamline your process—it transforms it. Imagine: Comprehensive, unbiased literature reviews at lightning speed Effortless paper searches and summaries Cross-disciplinary connections you might have missed Diverse research methods tailored to your project Multiple perspectives to challenge your thinking AnswerThis: Where research productivity meets innovation. Ready to elevate your research game? Discover how AnswerThis can make your next project your best yet. #ResearchInnovation #AIforAcademics #ProductivityBreakthrough

📢 Exciting News Alert! 🚀🔍 Recently, I published a PrePrint article detailing a groundbreaking study. In this research, I leveraged a large dataset and various machine-learning models to develop a predictive model for heart failure. What sets this article apart from similar ones is the innovative approach taken towards dataset selection and feature engineering. Unlike previous studies that primarily focused on factors such as age and smoking status, this dataset comprises distinct features that haven't been extensively explored in prior modeling endeavors. 🔬 The novelty lies in the meticulous curation of features, which were previously overlooked in heart failure prediction models. By harnessing diverse machine learning techniques, I've successfully constructed a model that demonstrates promising predictive capabilities in this domain. 📚 I cordially invite all researchers and enthusiasts to delve into the article, share their insights, and contribute to the ongoing discourse. Your valuable feedback will enrich the discussion and foster further advancements in this critical area of healthcare. 🔗 Link to the article: https://lnkd.in/esZm-G-T #HeartFailurePrediction #MachineLearning #DataScience #HealthcareInnovation #Research #DataAnalysis #FeatureEngineering #MedicalAI

APA #PsycInfo is a great resource for discovering interdisciplinary research. This #TutorialThursday, learn more about how to use Explore Journal and Analyze & Filter, two powerful #AI-powered tools designed to enhance the research process: https://bit.ly/48koig9

📢 Rebuilding Trust in Science: Tackling Peer Review Overload and the Replication Crisis The scientific community is facing two significant challenges post-2020: the overload in peer review and the replication crisis. The sheer volume of submissions is stretching reviewers thin, leading to superficial evaluations and increased bias. At the same time, the difficulty in replicating published results is eroding trust in scientific research. How can we address this? 🔹 AI to the Rescue: Tools for screening manuscripts and aiding reviewers. 🔹 Open Science Practices: Transparent methodologies and data sharing. 🔹 Cultural Change: Shifting focus from publishing fast to publishing robust. The road to restoring credibility is steep, but with collaborative efforts and innovative solutions, the research ecosystem can thrive again. Let's champion quality, integrity, and trust in science. 💡 What are your thoughts on improving the peer review process and replication efforts? Let’s discuss! #ResearchIntegrity #PeerReview #OpenScience #Collaboration #ScientificTrust

"Excited to explore how AI-powered tools are transforming scientific collaboration and research insights! From platforms like Scispace facilitating collaboration to tools like Eicit and Evidence Hunt streamlining information extraction, the possibilities for advancing research are endless. Paper Digest simplifies the process further by condensing complex papers into digestible summaries. Let's embrace innovation in scientific discovery! #AIinScience #ResearchTools #ScientificCollaboration #Innovation #TechForGood"

Our article on "Mainstreaming Civic Tech" has been compiled into an edited volume on the research topic of "Bridging Citizen Science and Science Communication" (eds. Golumbic, Y.N., Roche, J., Motion, A., & Magalhães, J.). Our emphasis in this programmatic piece with Yuya Shibuya and Andrea Hamm was to point out a future research agenda in transnational perspectives on co-creation methods, data interfaces, and impact pathways: https://lnkd.in/ee4C_dS4

🧠 MIT News Alert: Your friendly chatbot might know more about you than you think—like your race?! 🤔 Science fiction meets science fact.  Find out more👉 https://lnkd.in/g4Hk2Rav #AIResearch #MIT #TechTalk #AIChatbots

Find Our April 2024 Newsletter!  Have a look, and do share your feedback! Newsletter Repository: https://lnkd.in/gXS7MZBZ Also, do visit our archives (https://lnkd.in/dW8REijD) for previous issues! Sanket Goel #Research #Innovation #Science #Collaboration #FutureOfScience