PhD candidate Allison Perry, PhD transformed her dissertation project timeline from 14 months to just 7 days. How did she do it? Allison leveraged Panalgo’s IHD Analytics platform and data assets. Download this case study to learn more: https://ow.ly/Ks1z50TTJv5.
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Researcher | Sustainable Agri-food Production, Nutrition, Quality | HSE | Talks about Global SDGs Links to Planet-People-Plants-Partnership for Prosperity-Peace-Processes
To find a research gap is a crucial step in conducting research. #anwarulhaq913 #agriculture #researchgap
Become a smarter researcher & writer (+/- AI) by reading one of my posts/day. Quality wins. University Research Chair & Tenured Full Professor.
11 research gaps every scientist must know (and how to bridge them) 1. Methodological Gap → Develop new methods and procedures 2. Data Gap → Collect primary data or collaborate with others 3. Empirical Gap → Conduct robust empirical studies 4. Contextual Gap → Do comparative research 5. Implementation Gap → Engage with practitioners 6. Population Gap → Diversify your study samples 7. Practical Knowledge Gap → Use case studies 8. Evidence Gap → Perform meta-analyses 9. Knowledge Gap → Conduct literature reviews & build frameworks 10. Theoretical Gap → Integrate existing theories into your own 11. Conceptual Gap → Clarify definitions & assumptions Bonus: Knowing that taxonomies are great, but you don't need to know the name of a research gap to address it. Just describe what's missing and motivate your research. [Mindmap by Lennart Nacke based on expanding the work of Miles, D. A. (2017, August). A taxonomy of research gaps: Identifying and defining the seven research gaps. In Doctoral student workshop: finding research gaps-research methods and strategies, Dallas, Texas (pp. 1-15).] Was it useful? Share it with your colleagues. P.S. Which research gap have you tackled recently? #research #researchgaps #phd
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I help in Medical Research and Writing to the busy researchers/Translating complex medical terms into Compelling Narratives
To find a research gap is the most crucial step of a research project
Become a smarter researcher & writer (+/- AI) by reading one of my posts/day. Quality wins. University Research Chair & Tenured Full Professor.
11 research gaps every scientist must know (and how to bridge them) 1. Methodological Gap → Develop new methods and procedures 2. Data Gap → Collect primary data or collaborate with others 3. Empirical Gap → Conduct robust empirical studies 4. Contextual Gap → Do comparative research 5. Implementation Gap → Engage with practitioners 6. Population Gap → Diversify your study samples 7. Practical Knowledge Gap → Use case studies 8. Evidence Gap → Perform meta-analyses 9. Knowledge Gap → Conduct literature reviews & build frameworks 10. Theoretical Gap → Integrate existing theories into your own 11. Conceptual Gap → Clarify definitions & assumptions Bonus: Knowing that taxonomies are great, but you don't need to know the name of a research gap to address it. Just describe what's missing and motivate your research. [Mindmap by Lennart Nacke based on expanding the work of Miles, D. A. (2017, August). A taxonomy of research gaps: Identifying and defining the seven research gaps. In Doctoral student workshop: finding research gaps-research methods and strategies, Dallas, Texas (pp. 1-15).] Was it useful? Share it with your colleagues. P.S. Which research gap have you tackled recently? #research #researchgaps #phd
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Monitoring, Evaluation, Accountability and Learning (MEAL)Officer RedAid Nigeria (RAN)
This is very comprehensive.
Become a smarter researcher & writer (+/- AI) by reading one of my posts/day. Quality wins. University Research Chair & Tenured Full Professor.
11 research gaps every scientist must know (and how to bridge them) 1. Methodological Gap → Develop new methods and procedures 2. Data Gap → Collect primary data or collaborate with others 3. Empirical Gap → Conduct robust empirical studies 4. Contextual Gap → Do comparative research 5. Implementation Gap → Engage with practitioners 6. Population Gap → Diversify your study samples 7. Practical Knowledge Gap → Use case studies 8. Evidence Gap → Perform meta-analyses 9. Knowledge Gap → Conduct literature reviews & build frameworks 10. Theoretical Gap → Integrate existing theories into your own 11. Conceptual Gap → Clarify definitions & assumptions Bonus: Knowing that taxonomies are great, but you don't need to know the name of a research gap to address it. Just describe what's missing and motivate your research. [Mindmap by Lennart Nacke based on expanding the work of Miles, D. A. (2017, August). A taxonomy of research gaps: Identifying and defining the seven research gaps. In Doctoral student workshop: finding research gaps-research methods and strategies, Dallas, Texas (pp. 1-15).] Was it useful? Share it with your colleagues. P.S. Which research gap have you tackled recently? #research #researchgaps #phd
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Become a smarter researcher & writer (+/- AI) by reading one of my posts/day. Quality wins. University Research Chair & Tenured Full Professor.
11 research gaps every scientist must know (and how to bridge them) 1. Methodological Gap → Develop new methods and procedures 2. Data Gap → Collect primary data or collaborate with others 3. Empirical Gap → Conduct robust empirical studies 4. Contextual Gap → Do comparative research 5. Implementation Gap → Engage with practitioners 6. Population Gap → Diversify your study samples 7. Practical Knowledge Gap → Use case studies 8. Evidence Gap → Perform meta-analyses 9. Knowledge Gap → Conduct literature reviews & build frameworks 10. Theoretical Gap → Integrate existing theories into your own 11. Conceptual Gap → Clarify definitions & assumptions Bonus: Knowing that taxonomies are great, but you don't need to know the name of a research gap to address it. Just describe what's missing and motivate your research. [Mindmap by Lennart Nacke based on expanding the work of Miles, D. A. (2017, August). A taxonomy of research gaps: Identifying and defining the seven research gaps. In Doctoral student workshop: finding research gaps-research methods and strategies, Dallas, Texas (pp. 1-15).] Was it useful? Share it with your colleagues. P.S. Which research gap have you tackled recently? #research #researchgaps #phd
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Very well explained research gaps to kick start your research question #researchgaps #researchquestion #researchtopic
Become a smarter researcher & writer (+/- AI) by reading one of my posts/day. Quality wins. University Research Chair & Tenured Full Professor.
11 research gaps every scientist must know (and how to bridge them) 1. Methodological Gap → Develop new methods and procedures 2. Data Gap → Collect primary data or collaborate with others 3. Empirical Gap → Conduct robust empirical studies 4. Contextual Gap → Do comparative research 5. Implementation Gap → Engage with practitioners 6. Population Gap → Diversify your study samples 7. Practical Knowledge Gap → Use case studies 8. Evidence Gap → Perform meta-analyses 9. Knowledge Gap → Conduct literature reviews & build frameworks 10. Theoretical Gap → Integrate existing theories into your own 11. Conceptual Gap → Clarify definitions & assumptions Bonus: Knowing that taxonomies are great, but you don't need to know the name of a research gap to address it. Just describe what's missing and motivate your research. [Mindmap by Lennart Nacke based on expanding the work of Miles, D. A. (2017, August). A taxonomy of research gaps: Identifying and defining the seven research gaps. In Doctoral student workshop: finding research gaps-research methods and strategies, Dallas, Texas (pp. 1-15).] Was it useful? Share it with your colleagues. P.S. Which research gap have you tackled recently? #research #researchgaps #phd
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I appreciate the focus on practical knowledge and implementation gaps. These areas often receive less attention than they deserve. How can researchers better collaborate with practitioners to address these gaps?
Become a smarter researcher & writer (+/- AI) by reading one of my posts/day. Quality wins. University Research Chair & Tenured Full Professor.
11 research gaps every scientist must know (and how to bridge them) 1. Methodological Gap → Develop new methods and procedures 2. Data Gap → Collect primary data or collaborate with others 3. Empirical Gap → Conduct robust empirical studies 4. Contextual Gap → Do comparative research 5. Implementation Gap → Engage with practitioners 6. Population Gap → Diversify your study samples 7. Practical Knowledge Gap → Use case studies 8. Evidence Gap → Perform meta-analyses 9. Knowledge Gap → Conduct literature reviews & build frameworks 10. Theoretical Gap → Integrate existing theories into your own 11. Conceptual Gap → Clarify definitions & assumptions Bonus: Knowing that taxonomies are great, but you don't need to know the name of a research gap to address it. Just describe what's missing and motivate your research. [Mindmap by Lennart Nacke based on expanding the work of Miles, D. A. (2017, August). A taxonomy of research gaps: Identifying and defining the seven research gaps. In Doctoral student workshop: finding research gaps-research methods and strategies, Dallas, Texas (pp. 1-15).] Was it useful? Share it with your colleagues. P.S. Which research gap have you tackled recently? #research #researchgaps #phd
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Thank you so much for the kind words and for sharing this! 🙏 I’m beyond grateful to Prof. John Newell, Dr. Davood Roshan, and the Irish Research Council for their incredible support throughout my PhD journey. A massive thanks as well to ORRECO not just for supporting my research but for being such an amazing team to continue working with! This milestone is a reflection of all the guidance, encouragement, and collaboration I’ve been lucky to receive. Excited for what’s next as we keep pushing boundaries in motion tracking and performance data! 🚀 #research #datascience #statistics #performance #gratitude #GenAI #data
Congratulations to Dr Pouyan Nejadi of ORRECO on the completion of and graduation for your PhD at the University of Galway. A monumental milestone and a testament to your dedication, hard work, and unwavering passion for your field. Dr Nejadis PhD was on “Developing statistical models for motion tracking data to extra movement signatures” - supervised by Prof John Newell and Dr Davood Roshan and funded by the Irish Research Council and ORRECO #research #science #datascience #GenAI #statistics #data #performance
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I'm happy to be a co-author on this report about component-based research (CBR). On November 15th - 17th 2023, Outlier Research & Evaluation at the Data Science Institute at the University of Chicago hosted a National Science Foundation-funded working meeting that focused on the needs and requirements of an infrastructure that could support component-based research (CBR). CBR is a paradigm that focuses on unpacking innovations into precisely described parts in order to identify the core features and processes that most contribute to desired outcomes. It calls for identifying innovation “components,” and for clearly specifying the contexts and conditions in which innovations operate, the innovation beneficiaries, and target outcomes. This report shares the ideas generated during this meeting. #researchmethods #componentbasedresearch #datascience #scalingup
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Rachel Levy is that you on pg. 6? Looking forward to digging into this report and its implications for our work at the FI!
I'm happy to be a co-author on this report about component-based research (CBR). On November 15th - 17th 2023, Outlier Research & Evaluation at the Data Science Institute at the University of Chicago hosted a National Science Foundation-funded working meeting that focused on the needs and requirements of an infrastructure that could support component-based research (CBR). CBR is a paradigm that focuses on unpacking innovations into precisely described parts in order to identify the core features and processes that most contribute to desired outcomes. It calls for identifying innovation “components,” and for clearly specifying the contexts and conditions in which innovations operate, the innovation beneficiaries, and target outcomes. This report shares the ideas generated during this meeting. #researchmethods #componentbasedresearch #datascience #scalingup
Component-Based Research in Education: Emerging Ideas, Possibilities, and Next Steps
osf.io
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Learning Engineering Toolkit Editor/Co-Author | INFERable Founder | XPRIZE Digital Learning Challenge Judge | IEEE Learning Technology Standards Committee Chair
This is important work by an amazing group of contributors! This research paradigm that focuses on unpacking innovations into precisely described parts can define the components for the process and practice of learning engineering. If we can better understand, with a systems engineering mindset, how subsystems or modules (conditions for learning) interoperate to support learning outcomes, these components become 'lego blocks' to build more advanced learning systems that apply both human practice innovations and technical innovations. Understanding the "precisely described parts" and "the contexts and conditions" in which they contribute to desired learning outcomes could be the "learning engineering components" used in systems that adapt to variability learners and contexts toward optimization of outcomes. #LearningEngineering Chris Dede, Sae Schatz, John Whitmer, Janet Kolodner, Bror Saxberg
I'm happy to be a co-author on this report about component-based research (CBR). On November 15th - 17th 2023, Outlier Research & Evaluation at the Data Science Institute at the University of Chicago hosted a National Science Foundation-funded working meeting that focused on the needs and requirements of an infrastructure that could support component-based research (CBR). CBR is a paradigm that focuses on unpacking innovations into precisely described parts in order to identify the core features and processes that most contribute to desired outcomes. It calls for identifying innovation “components,” and for clearly specifying the contexts and conditions in which innovations operate, the innovation beneficiaries, and target outcomes. This report shares the ideas generated during this meeting. #researchmethods #componentbasedresearch #datascience #scalingup
Component-Based Research in Education: Emerging Ideas, Possibilities, and Next Steps
osf.io
