Hodges' Model: Welcome to the QUAD

Hodges' Model: Welcome to the QUAD

Hodges' model is a conceptual framework to support reflection and critical thinking. Situated, the model can help integrate all disciplines (academic and professional). Amid news items, are posts that illustrate the scope and application of the model. A bibliography and A4 template are provided in the sidebar. Welcome to the QUAD ...

Friday, May 03, 2024

Help us build the future - Medical Aid Films' Annual Survey 2024

On Tuesday, 30 April 2024 at 14:37:02 BST, Helen Coombe, UK <helen AT medicalaidfilms.org> wrote:

At Medical Aid Films, we are asking ourselves how we can respond to the scaling up of innovative digital information and communication technologies whilst continuing to place our primary audiences at the centre of our work – ‘ensuring people-centred systems that are enabled by digital health[i]’, one of the objectives of the WHO Digital Health Strategy 2020 – 2025. It is important to us that any digital strategy reflects the needs and aspirations of the healthcare professionals we serve. We invite any healthcare professional to complete our 2024 online annual survey to help inform forthcoming digital initiatives. Your insights will provide us with a comprehensive understanding of what matters most around training and health education and how we can best serve your needs. 

c/o Medical Aid Films 

The survey can be accessed here - https://forms.gle/iX3XGCk2rqSGWXyJA

the deadline to respond is Monday 13th May

Thank you for helping support our work.


[i] WHO Global strategy on digital health 2020-2025, https://www.who.int/health-topics/digital-health#tab=tab_1



Helen Coombe, Head of Research, Monitoring, Evaluation and Learning. Medical Aid Films, c/o Zavros Mintikkis Associates Ltd, 1st Floor, 446a Green Lanes, London, N13 5XD

HIFA* profile: Helen Coombe is Head of Evaluation and Research at Medical Aid Films, UK.

helen AT medicalaidfilms.org

*My source.

Thursday, May 02, 2024

Natural asset companies - 'Small is Beautiful'

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HUMANISTIC  --------------------------------------  MECHANISTIC      
 SOCIOLOGY  :    POLITICAL 
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What I value and the values I hold.

Philosophy

Nature - Nature has Intrinsic Value


What we value and the values we hold.


Natural Asset Companies

The continuity of capitalism, or new approaches?



 My prompt - following and commenting in chat:
'Part II of the Small is Beautiful Celebration' The Schumacher Institute

Apparently nature has intrinsic value and 'natural asset companies' are a thing (for good or ill is another Q. -  continuity of capitalism? Is this one way where (literally) SMALL comes in? As nature locally has value, citizens are stakeholders (in the country by proxy)? But then how as societies do we compensate urban environments and those who clamour for - see the future in 'smart' cities? https://www.nytimes.com/2024/02/18/business/economy/natural-assets.html
See also:
https://www.nature.com/scitable/knowledge/library/intrinsic-value-ecology-and-conservation-25815400/
Sandler, R. (2012) Intrinsic Value, Ecology, and Conservation. Nature Education Knowledge 3(10):4.

Lydia DePillis, Nature Has Value. Could We Literally Invest in It? The New York Times. “Natural asset companies” would put a market price on improving ecosystems, rather than on destroying them. 18th February 2024. https://www.nytimes.com/2024/02/18/business/economy/natural-assets.html

Wednesday, May 01, 2024

Hodges' model: A tool for Curation

CURATION
"Curation helps solve the problems of today and tomorrow. It's the mass sourcing of the expertise needed to navigate and comprehend the saturated, complex markets* of the twenty-first century." p.166.

Bhaskar also lists (and briefly introduces) the principles of curation:
  • Saving time
  • Freeing cognitive resources
  • Sparing us anxiety
  • Maximising utility
  • Cutting down complexity
  • Finding quality
  • Overcoming information overload
  • Creating contrast 
  • Redefining creativity
  • Channeling attention
  • Providing context
  • Beating overproduction (pp.167-168).

*To markets above, I would add disciplines and professions.

By definition an aide-mémoire should save us time. 

The structure of Hodges' model provides a conceptual scaffold, a substrate affording us cognitive economy.

Through selection (self guided discovery) we are assuring data, information gathering, properly supervised this should spare us anxiety.

We are trying to ensure the effective use of our time, and efficiently zero-in on the concepts that are salient.

By reducing complexity, we increase the relevance and value of what is noted, recorded, acted upon. Data, facts, observations that are not redundant can be dismissed.

Contrast is co-confirmed by using innate oppositions, polarities and dichotomies with attention on the other and the middle.

When needed, Hodges' model can explode subject headings, concepts assisting exploration and creativity, potentially assisting at a transdisciplinary level.

Context rationalisation by testing and filtering a situation, helps to focus attention.

Duplication and repetition do not foster sustainable services, but there should always be scope for verification and person-centredness.
"As the eighteenth-century English painter Joshua Reynolds put it, 'Simplicity is an exact medium between too little and too much.' Curation helps ensure that exact medium." p.159. 

Bhaskar. M. (2016) Curation: The power of selection in a world of excess. London: Piatkus.

Book image: Waterstones.

See also: Is Hodges' model a selection machine?

Saturday, April 27, 2024

"Moon Fever"

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"It still holds the key to madness ...

















still controls the tides that
 lap on shores everywhere ...


still guards the lovers who kiss ...


in every land under no banner but the sky."
                                          E.B. White



Gleick, James. Moon Fever, The New York Review of Books, August 15 - September 25, 2019. LXVI, 13. pp.54-58.
(I knew I was saving this for a reason!)

Image: Viewfinder: 'I want! I want!' (1793) by William Blake
https://www.telegraph.co.uk/multimedia/archive/01171/arts-graphics-2006_1171649a.jpg

Friday, April 26, 2024

Buses, Eddie Stobart, Lego and Laughing Boy

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HUMANISTIC  --------------------------------------  MECHANISTIC      
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person - personality
personal duty of care
emotional care
experience

buses - Eddie Stobart - Lego
space - time
1-day Physical care  Another day
the sound of laughter


Source: Twi/X + image:

Wednesday, April 24, 2024

'The Deepest Breath'

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"Netflix has collaborated with A24, Motive Films, Ventureland and Raw on this gripping look at the undeniable connection forged between two athletes as they navigate the vigorous and competitive world of freediving. The Deepest Breath will have its world premiere at the Sundance Film Festival in January 2023.
Logline: A champion freediver trains to break a world record with the help of an expert safety diver, and the two form an emotional bond that feels like fate. This heart-stopping film follows the paths they took to meet at the pinnacle of the freediving world, documenting the thrilling rewards – and inescapable risks – of chasing a dream through the silent depths of the ocean."
 


Image: c/o Netflix

Tuesday, April 23, 2024

Call for participation in a Doctoral Research Study

ARE YOU WORKING IN THE NHS? IF SO, HELP NEEDED URGENTLY

Please read this email. 

Glasgow Caledonian University is inviting NHS Staff across the UK to participate in this doctoral research survey to analyse the impact of responsible leadership on improving well-being and organisational trust among NHS Staff members. 

 

To be eligible, you must be an NHS staff member from any area of the UK in any job role. The survey collects no recognisable information and is wholly anonymised to protect participant privacy and confidentiality. It has received full ethical approval, will take around 10 minutes and will help provide an improved understanding of the area of well-being in the profession.

 

Please forward this survey link to everyone in your contacts working for NHS. This will help gain more responses, increasing the study's reach and validity. Your help is highly appreciated, and we thank you in advance.

 

Here's the link for the participant information sheet and survey: 

https://app.onlinesurveys.jisc.ac.uk/s/caledonian/impact-of-responsible-leadership-on-employee-well-being-and-org


Warm wishes

Ummey Tariq (Chief Investigator)

 

Umm E Habiba Tariq (she/her) | PhD Candidate, MSc, BBA (Hons)

Occasional Lecturer | Department of HRM | Glasgow School for Business and Society (GSBS)

Glasgow Caledonian University is a registered Scottish charity, number SC021474


My source: NURSE-PHILOSOPHY list
https://www.jiscmail.ac.uk/cgi-bin/webadmin?A0=NURSE-PHILOSOPHY

Monday, April 22, 2024

Earth Day 2024 - No escape

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What is that out there?

Bioscape.
Incredible whole
Beautiful mote - in my eye?

Are your - dreamscapes - yours?

Your inscape alone:
mindscape - your inner eye?

Landscapes, seascapes, skyscapes,
spacescapes  speak to us.
Everyone.
Stories of deep time.
Stories of truth and truth emerging.

See both sides of the cloudscape.
Snowscapes in retreat.
Cityscapes on the march.
Yes! No! Yes! No! Yes! ...
Soundscape*


The sums have it.
What tablescape awaits us?


For us - no escape.






*gone quiet.

My prompt:

Esslin, Martin. Chapter 1 Samuel Beckett, The search for the self. 
The Theatre of the Absurd. London: Pelican, 1982. (3rd Ed.). p.84. ('psychological inscape')

  © Peter Jones

Friday, April 19, 2024

Call - Special issue: Learning from Multiple Data Sources for Decision Making in Health Care

The increasing availability of digital data, along with recent developments in Artificial Intelligence, especially in the Machine Learning and Deep Learning fields, led the scientific community to debate whether data alone is sufficient for decision making and scientific exploration. We focus the attention on the healthcare domain, where peculiar issues affect data: indeed, data are usually collected under heterogeneous conditions (i.e., different populations, regimes, and sampling methods), suffer missingness – very often not at random – and their use is strongly constrained by privacy issues. In such a complex setting, this special issue challenges computer scientists to contribute to the above debate by designing and developing innovative methodological approaches, for solving complex decision-making problems in health care, leveraging on observational data.

Topics of interest include, but are not limited to, the following with an emphasis on novel generalizable methods applied to the healthcare domain:

  • Causal discovery from multiple data sets.
  • Federated causal discovery.
  • Causal discovery from heterogeneous data sets.
  • Transportability of causal models and inference.
  • Neuro-symbolic approaches to learn from heterogeneous data sources.
  • Continual learning on streams from multiple data sources.
  • Computational intelligent strategies to support causal inference.
  • Edge computing for decision making in healthcare.
  • Integrative AI methodologies.
  • Distributed inference methods.
  • Continual Learning.
  • Knowledge Discovery and Integration.
  • Combination of deductive approaches with ML models.
  • Combination of ontologies and/or knowledge-bases with ML to support decision making.

Peer Review Process:

All submitted papers will undergo a rigorous peer-review process featuring at least two reviewers. All submissions should follow the guidelines for authors available at the Journal of Biomedical Informatics website (http://www.elsevier.com/locate/yjbin). JBI’s editorial policy outlined on that page will be strictly enforced by special issue reviewers.

Note that JBI emphasizes the publication of papers that introduce innovative and generalizable methods of interest to the informatics community. Specific applications can be described to motivate the methodology being introduced, but papers that focus solely on a specific application are not suitable. A few examples of papers focused on methods previously published in JBI include: Kyrimi, et al. [1], Huang, et al. [2], Kocbek et al. [3], Houston et al. [4], García Del Valle et al. [5], Graudenzi et al. [6] and Sims et al. [7].

In particular, the authors of [1] showed the relevance of causal models and expert knowledge to develop credible models, i.e., capable of achieving good predictive performances when transported from the study cohort to the target population. Furthermore, [2] tackles the relevant issue of partially overlapping variables when data are collected from multiple data sources. This problem is extremely relevant both in theoretical and practical terms for decision making in the healthcare sector.

The contribution provided in [3] stressed the importance of working in a multi-source context by demonstrating how the linking of different repositories can improve the overall understanding of patients' conditions. Similarly, in [4] the authors extended this concept by introducing a methodology to evaluate to audit the data quality of the sources exploited by healthcare information systems. Then, in [5] the multi-source concept is transferred within the multi-modal environment and the authors surveyed the importance of considering different modalities to obtain a better disease understanding.

The works in [6] and [7] focuses on the importance of data. In [6] a data integration framework is defined for characterizing the metabolic deregulations that distinguish cancer phenotypes, by projecting RNA-seq data onto metabolic networks without the need for metabolic measurements; in [7] a biomedical informatics method is introduced that uses multiple public health data sources to perform surveillance of methadone-related adverse drug events. Interestingly, even if patient data are not linked between different data sources, results show that the integration of multiple public data sources can capture more cases and provide more clinical details than individual data sources alone.

Key requirements for JBI ML papers in addition to presenting novel methods (not simply application of existing methods to a new healthcare domain) are as follows: 1) projects must have clinicians involved in research question/problem formulation, defining input data, and assessing the results. 2) An explanation (with clinicians) of how the proposed method would fit into the clinical workflow is expected. It must be translational to practice. 3) Data sets should preferably be collected from hospitals after the research question was formulated, thus avoiding the use of available data (MIMIC) to define a very wide research problem that could potentially be answered with available open datasets (as an example: detecting if someone has COVID from Chest X-Rays would not be acceptable, as the gold standard test is the laboratory test). 4) As for explainability, SHAP values and related diagrams would not be enough: the paper should clearly describe and explain how clinicians use the visualization to make decisions. For further details please refer to https://www.sciencedirect.com/journal/journal-of-biomedical-informatics/publish/guide-for-authors.
Submission process, Questions, and References 

My source: 
https://aixia.it/en/gruppi/hc/

Thursday, April 18, 2024

Book: Digital Disinformation in Africa: Hashtag Politics, Power and Propaganda

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HUMANISTIC  --------------------------------------  MECHANISTIC      
 SOCIOLOGY  :    POLITICAL 
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Group



Digital Disinformation in Africa


#Politics #Power #Propaganda


Source: Twi/X