Difference between revisions of "SoN LAI 4 Day Intensive May 2022"
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| − | == [[SOCR_News | SOCR News & Events]]: Leadership, Analytics and Innovation (LAI) Master’s Program 4-Day Intensive (May 17, 2022) | + | == [[SOCR_News | SOCR News & Events]]: Leadership, Analytics and Innovation (LAI) Master’s Program 4-Day Intensive (May 17, 2022) == |
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[[Image:LAI_4DayIntensive_2022.jpg|220px|thumbnail|right|]] | [[Image:LAI_4DayIntensive_2022.jpg|220px|thumbnail|right|]] | ||
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* '''RSVP''' (required): [https://online.nursing.umich.edu/student-experience/online-learning/#modal:request-info RSVP] | * '''RSVP''' (required): [https://online.nursing.umich.edu/student-experience/online-learning/#modal:request-info RSVP] | ||
| − | * [https://wiki.socr.umich.edu/images/2/2b/Dinov_LAI_4_Day_Intensive_May_2022_Outline.pdf Ivo Dinov's | + | * [https://wiki.socr.umich.edu/images/2/2b/Dinov_LAI_4_Day_Intensive_May_2022_Outline.pdf Ivo Dinov's Welcome at the launch of the 2022 4-Day Intensive, ''LAI in Data-Driven, Evidence-based, and Technology-Enhanced Health Science'']. |
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| + | == Overview== | ||
| + | * [https://nursing.umich.edu/academics/specialties/leadership-analytics-and-innovation Leadership, Analytics and Innovation (LAI) Program] aims to prepare scholars for the ''Next Global Crisis''. | ||
| + | * In the 1880’s James Berrill Angell, the 3<sup>rd</sup> UM President, declared UM as an institution providing '''uncommon education for the common folk'''. Shortly thereafter, the School of Nursling was established. | ||
| + | * At SoN, the [https://leadersandbest.umich.edu/ UM Leaders & Best Initiative] translates into '''Raising Effective Healthcare leaders and Best trained nursing and health professionals'''. | ||
| + | * The 4-day intensive will offer unique '''opportunities for community building, networking, and innovating thinking''', e.g., through Nurse Executive Fellow Academy discussions, Implementation Science and Analytics Workshops, Policy Paper sprints, Team-Building exercises, and Hackatons. | ||
| + | * Emphasis on Diversity, Equity and Inclusions - '''DEI is important for a number of reasons''': (1) Social-justice & fairness, exclusivity factors; (2) Economic factors – risk reduction; (3) Evolutionary factors – long-term stability and sustainability. | ||
==Challenges== | ==Challenges== | ||
| Line 42: | Line 48: | ||
==Demonstrations== | ==Demonstrations== | ||
* Resource navigators ([https://socr.umich.edu/html/Navigators.html graphical], [https://dspa2.predictive.space/ key phrase search]) | * Resource navigators ([https://socr.umich.edu/html/Navigators.html graphical], [https://dspa2.predictive.space/ key phrase search]) | ||
| − | * [https://wiki.socr.umich.edu/index.php/SOCR_Books Electronic books] | + | * [https://wiki.socr.umich.edu/index.php/SOCR_Books Electronic books] - [https://dspa2.predictive.space/ Data Science and Predictive Analytics (DSPA) active-learning resources], [http://www.socr.umich.edu/people/dinov/SMHS_Courses.html Scientific Methods for Health Sciences], [https://wiki.socr.umich.edu/index.php/Probability_and_statistics_EBook Probability and Statistics EBook] |
| − | + | * [https://umich.instructure.com/courses/38100/files/folder/Case_Studies Case-studies and driving motivational challenges], [https://wiki.socr.umich.edu/index.php/SOCR_Data open data resources] | |
| − | * [https://umich.instructure.com/courses/38100/files/folder/Case_Studies | + | * [https://socr.umich.edu/HTML5/ Webapps] - [https://socr.umich.edu/HTML5/MotionChart/ Motion Charts], [http://myumi.ch/O49zG Pressure Injury Prediction Model], [https://socr.umich.edu/HTML5/SOCR_TensorBoard_UKBB UK Biobank], [https://socr.umich.edu/HTML5/SOCRAT/ SOCR Analytical Toolbox] |
| − | * [https:// | + | * Collaborative Open-Science ([https://socr.umich.edu/html/SOCR_Research.html Ongoing Research Project], [https://socr.umich.edu/html/SOCR_Consulting.html Consulting], [https://www.socr.umich.edu/people/dinov/publications.html Pubs]). |
| − | * Collaborative Open-Science ( | ||
==Contact== | ==Contact== | ||
Latest revision as of 08:20, 17 May 2022
Contents
SOCR News & Events: Leadership, Analytics and Innovation (LAI) Master’s Program 4-Day Intensive (May 17, 2022)
Logistics
- Event Date/Time: May 17, 2022, 1:00-1:30 PM (US Eastern Time)
- Location: LAI Program 4-Day Intensive, SNB Building, University of Michigan.
- Format: Residential/In-person
- RSVP (required): RSVP
Overview
- Leadership, Analytics and Innovation (LAI) Program aims to prepare scholars for the Next Global Crisis.
- In the 1880’s James Berrill Angell, the 3rd UM President, declared UM as an institution providing uncommon education for the common folk. Shortly thereafter, the School of Nursling was established.
- At SoN, the UM Leaders & Best Initiative translates into Raising Effective Healthcare leaders and Best trained nursing and health professionals.
- The 4-day intensive will offer unique opportunities for community building, networking, and innovating thinking, e.g., through Nurse Executive Fellow Academy discussions, Implementation Science and Analytics Workshops, Policy Paper sprints, Team-Building exercises, and Hackatons.
- Emphasis on Diversity, Equity and Inclusions - DEI is important for a number of reasons: (1) Social-justice & fairness, exclusivity factors; (2) Economic factors – risk reduction; (3) Evolutionary factors – long-term stability and sustainability.
Challenges
| Data, Methods & Implementation Challenges | Effective Nursing, Biomedical, and Health Sciences Approaches |
| Lack of access to existing, effective, modern, active-learning resources | Embrace Open and FAIR Data Science |
| Credit, acknowledgement, and recognition | Give credit, entice independent enhancements |
| Storage, computing, networking limitations | Challenging, but Google, MS, AMZ, NVIDIA, RStudio provide free Ed support |
| Collaboration | Engage with fellow academics (e.g., MBDH, professional Societies), offer open-enrollment in short courses, MOOCs, other electives, Collaborate with partners on R&D projects |
| Cross-institutional partnerships (limited time, funding, HR), | |
| Transdisciplinary interactions (non-trivial), | Collaborate with partners on R&D projects |
| Application domain repurposing (requires team-science support) | |
| Decision science and implementation of ML/AI into clinical practice | Use a team science approach, embedding nurses, clinicians, statisticians and engineers |
Core Principles
- Team Science approach to tackling difficult healthcare challenges (science, implementation, translation, costs, outcomes, equity)
- FAIR (Findable, Accessible, Interoperable, and Reusable) resources
- Supporting the common-good, equitable, fair, transparent, trustworthy, rigorous, transdisciplinary, and sustainable Leadership, Analytics & Innovation in Nursing & Healthcare
Demonstrations
- Resource navigators (graphical, key phrase search)
- Electronic books - Data Science and Predictive Analytics (DSPA) active-learning resources, Scientific Methods for Health Sciences, Probability and Statistics EBook
- Case-studies and driving motivational challenges, open data resources
- Webapps - Motion Charts, Pressure Injury Prediction Model, UK Biobank, SOCR Analytical Toolbox
- Collaborative Open-Science (Ongoing Research Project, Consulting, Pubs).
Contact
Questions, comments, collaborations, and suggestions are always welcome.
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