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Enregistrement W3188692329 · doi:10.32920/ryerson.14636229.v1

Understanding policy workers’ policy innovation capacity: An exploratory and qualitative mixed methods evaluation study of a policy hackathon program in Prince Edward Island, Canada

2021· preprint· en· W3188692329 sur OpenAlexfundaboutno aff

Notice bibliographique

Revuenon disponible
Typepreprint
Langueen
DomaineBusiness, Management and Accounting
ThématiqueInnovative Approaches in Technology and Social Development
Établissements canadiensnon disponible
Organismes subventionnairesAtlantic Canada Opportunities AgencyU.S. Department of Veterans Affairs
Mots-clésOperationalizationPublic policyQualitative propertyQualitative researchPolitical scienceAgency (philosophy)AusterityPolicy analysisThematic analysisPublic relationsPublic administrationSociologyPoliticsSocial science

Résumé

récupéré en direct d'OpenAlex

<p><strong>Background: </strong>In 2018, the Government of PEI, Veterans Affairs Canada, Atlantic Canada Opportunities Agency and the Start-Up Zone brought together 49 individuals from the public and private sector to participate in a Policy Hackathon Program. A series of learning sessions were delivered while participants moved through a public policy case competition. This paper evaluates and studies this program and makes design recommendations for future policy hackathon programs. In the process, the paper draws attention to not only the relevance, performance and impact of the Program, but also larger discussions related to the unique attributes of the islandness of public policy, policy innovation, and austerity on an island. </p> <p><strong>Methods: </strong>The evaluation study adopted a social-constructivist worldview, whereby the perceptions of participants and the interpretation of the researcher were used to understand the Program. A qualitative mixed methods design was employed which involved generating qualitative and quantitative data through a pre-program survey (N=48), post-program survey (N=38), interviews with a random sample of participants (N=6), and interviews with a purposive sample of key informants (N=2). Bason’s (2014) design for policy theory and the OECD’s (2017) core skills for public sector innovation framework were operationalized to understand the results in relation to theory and best practice. Quantitative and qualitative results were interpreted by the researcher to understand the Program and also to connect the results to public policy theory and constructs. Results: Relevance The Program responded to a need in PEI’s policy environment. There was clear indication that participants believed that PEI needs new micro-and meso-level policy tools to develop public policy. Participants indicated that having opportunities to learn about policy innovation was important to them. The Program’s emphasis on mentorship was relevant, given that participants believed that such multidisciplinary connections were important for policy development. </p> <p><strong>Performance:</strong> The Program performed well in terms of increasing participants’ individual policy capacity as well as that of the entire group, meeting participants’ expectations to receive valuable learning, and allowing participants to meaningfully connect with a broad range of individuals. The Program performed less optimally in the areas of providing participants with new policy tools, mentorship, and connecting with citizens. </p> <p><strong>Impact:</strong> Participants perceived the Program to have had a positive impact on their skill development in a wide range of areas and in increasing their comfort level with on-the-spot decision-making. Participants indicated that they would seek to integrate similar learning opportunities into their professional development plans in the future. Participants also reported that they believed the Program had a positive impact on the group’s policy capacity and capacity to undertake innovative policy work. Policy Innovation The policy workers involved in the Program (i.e., participants) have cognitively established the positive connection between mentorship and innovation. Participants reported an increase in their confidence to apply human-centered design concepts. In terms of Bason’s (2014) theory and the OECD’s (2017) framework, the Program exposed participants to important policy innovation concepts. Given that participants indicated they thought that individuals who participated in the Program were better prepared to conduct innovative policy work in the future, it is assumed that the Program had a positive impact, to some degree, on increasing the policy innovation capacity of policy workers. Conclusion The study concludes by reiterating that the value of a policy hackathon program is as much related to process as new policies. In other words, in order for policy hackathon programs to be successful, they do PEI Policy Hackathon Program not necessarily need to result in the development of a new policy. Rather, as shown in this study, there can be positive impacts to participants’ policy innovation capacity which can occur during the program. Policy hackathon programs therefore should not be judged entirely on the intervention’s outputs. The study also concludes with a discussion in relation to the islandness of public policy, policy innovation, policy hackathons, and evaluation heuristics. </p> <p>Finally, the paper offers some thoughts on findings which pointed to the existence of austerity and the need for greater citizen-focus in public policy.</p>

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,003
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,609
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0030,007
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,233
Tête enseignante GPT0,425
Écart entre enseignants0,191 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2021
Routes d'admission2
Résumé présentoui

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