1 / 14

MOST Policy Documents

MOST Policy Documents A standardized approach for the dissemination & application of policy-relevant knowledge Rationale for Standardized Approach System D esign M ethodology Documents S tructure Outline Dissemination Methods System Features & Functionality

vicki
Télécharger la présentation

MOST Policy Documents

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. MOST Policy Documents • A standardized approach for the dissemination & application of policy-relevantknowledge • Rationale for Standardized Approach • System Design Methodology • Documents Structure Outline • Dissemination Methods • System Features & Functionality • Content Connectivity & Flexibility

  2. 1. Why ‘Standardize’? • Not standardize knowledge but support – to innovate in dissemination & utilization methods • Reduce processing time & costs with electronic communication – submission/review & editing/posting • Produce different types of documents for different users with different needs – from the same information • Capitalize knowledge & experience to enhance potentials for replication & transfer • Accelerate dissemination and empower use & re-use of research results for policy-making

  3. 2.1 Empirical Basis • Briefing & reporting-driven information flows (access, extraction, making & use processes) in policy institutions • US Library of Congress Congressional Research Service, & other policy research services • Policy research theoretical studies & educative materials • Information flows in administration & management decision-support services

  4. 2.2 Structure Design • Content mapping from theoretical studies, educative materials, documents by policy institutions, & guidelines for reporting on ‘best practices’ • Integration into comprehensive, ‘generic’ structure • Selection of salient points, addition of points of relevance to domain-specificity • ‘System’ considerations: content connectivity potentials • Definition of appropriate sequence-logic • Refining structure & features with writers & users

  5. 3.1 Policy Papers • Document Information • Introduction • Context • Legal Framework in Place • Stakeholders’ Plans & Strategies • Proposed Policy Implications • Monitoring & Evaluation • References

  6. 3.2 Policy Briefs • Document information • Introduction • Abstracts from paper sections: • Context • Legal framework in place • Stakeholders’ plans and strategies • Proposed policy implications • Monitoring and evaluation • References

  7. 4. Dissemination • Papers (15 to 20+ pages) & Briefs (ab. 4 pages – a collection of selectitems from the Papers) • Print & electronic versions • Website: Downloadable versions (.pdf), and • Interactive versions (.html) – items in Brief link to integral text of section in original Paper • Newsletters via mailing lists (body text, .pdf file as attachment, link to Brief & Paper pages on website) • Alerting via email when new paper comes out

  8. 5.1 Search & Reporting • Qualifying & localizing an issue/case filters documents • Generic themes (education) &particular problems (secondary school dropouts) • Regions (Africa) or geographic areas (Eastern Africa), countries (Kenya) • Retrieving specific items produces custom-documents • Select items from single Paper generate custom-type Brief (‘just the right information’) • Select items across multiple Papers generate custom-type report (focus analysis)

  9. 5.1.1 Issue/case Dimensions • On ‘secondary school dropouts in Kenya’, one may be interested in • Overviewing legal frameworks, e.g. for anteriority research • Or identifying networks of individuals, organizations, resources, & how they are mobilized • Different sets of items report on the same policy issue/case withdistinct, specific dimensions • ‘Legal instruments for the prevention of sec. school dropouts in Kenya’ • ‘Agents & resources involved in the prevention of sec. school dropouts in Kenya’

  10. 5.1.2 Issue/case Locations & Contexts • One may want to compare geographically • Neighbouring (Ethiopia, Tanzania), other African (South Africa, Namibia), or different (Cuba, China) countries • Zoom out for regional (Eastern Africa) or cross-regional (Latin-America & the Caribbean, Asia & the Pacific) comparisons • Or restrict with specific ‘social-ecological’ foci • Geo-administrative scales(district, medium city, village) • Social-environmental contexts (inner city, rural) • Location-specific environments (coastal, mountain)

  11. 5.2 Analysis & Research • Quantitative processing across knowledge items produces practical evidence for analytical or exploratory purposes • Identifying how problems result from particular situations in particular contexts • Assessing extent of solutions available for particular types of problem • Identifying solutions to a particular problem based on similar experiences • Assessing potentials for success of solutions • Identifying best option(s) based on context specificity • Inferring problems that might arise from solutions, etc.

  12. 6.1 Content Connectivity • Complex policy challenges can be translated into ‘Profiles’ • "How-to’s" & "Best practices" can be extracted and compiled • Natural language tools can help answer practical questions • System can be made self-learning through profiles & queries • Value multiplies with each document added (& with every search) • Need critical mass (docs.) for system to be knowledgeable

  13. 6.2 Flexibility • Granularity: the number of structural levels (in a text: section, part, chapter, paragraph, etc.) • Higher granularity = better customization (search & profiles) and more precise analyses (questions & answers), but: • Higher granularity = heavier constraints for the authors – in fitting in research content • Need right balance between enough granularity & ease of writing – to enable usability while not constraining knowledge production • To be tested in close collaboration with authors & users – researchers & policy-makers

  14. Thank you • Your comments & questions are welcome • Christina Von Furstenberg c.von-furstenberg@unesco.org • Santiago Castro s.castro@unesco.org • Vincent Maugisv.maugis@unesco.org

More Related