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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

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MOST Policy Documents

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Most policy documents

  • 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


Most policy documents

  • 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


Most policy documents

  • 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


Most policy documents

  • 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


Most policy documents

  • 3.1 Policy Papers

    • Document Information

    • Introduction

    • Context

    • Legal Framework in Place

    • Stakeholders’ Plans & Strategies

    • Proposed Policy Implications

    • Monitoring & Evaluation

    • References


Most policy documents

  • 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


Most policy documents

  • 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


Most policy documents

  • 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)


Most policy documents

  • 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’


Most policy documents

  • 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)


Most policy documents

  • 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.


Most policy documents

  • 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


Most policy documents

  • 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


Most policy documents

  • Thank you

  • Your comments & questions are welcome

    • Christina Von Furstenberg [email protected]

    • Santiago Castro [email protected]

    • Vincent [email protected]


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