About the journal

The research published here is conducted by the Community Leadership and Social Change Program Research Scholars of the Community Leadership and Social Change Program, Department of Graduate Institute, DHI University (DHIU), India. Scholars in the programme design the instrument, run field collection, code the responses and write the analysis; Moyan AI hosts and publishes the output open access.

The affiliation matters for how you should read the work. These are scholars embedded in the communities they survey, which is why field access to respondents outside English-medium and metro settings is possible at all — and equally why the sample is a community-recruited one rather than a probability sample. Both facts are stated on every methodology page.

Correct attribution for any reuse is: Community Leadership and Social Change Program Research Scholars, Department of Graduate Institute, DHI University (DHIU), India, published in Moyan Journal of Community & Society.

The journal publishes quantitative and mixed-method studies in three connected areas: society and social change, community life and institutions, and leadership — how it is learned, held and contested. Recurring themes include education and employability, artificial intelligence in learning and work, migration intent, mental health and digital behaviour, civic participation and local governance, entrepreneurship, pluralism and media trust.

Biannual — a minimum of two issues each year, with articles released online as soon as they clear review and compiled into issues twice yearly.

Studies are bilingual by default. Instruments are administered in English and Malayalam so that respondents outside English-medium settings are not silently excluded, and key findings are summarised in both languages.

Each study is drafted by the editorial board, cleaned and tabulated by the technical editors, and read against those tables by the review board before the chief editor approves release. Reviewers are named on the editorial board page.

We do not claim blind external peer review. What we do claim is that every published percentage is reproducible from the aggregate tables we release, and that the limitations sit on the same page as the claims.

Participation is voluntary and anonymous. We collect no names, phone numbers, email addresses or device identifiers alongside responses. Sensitive attributes such as religious affiliation always carry a "prefer not to say" option.

Because responses are anonymous and un-linkable, we release aggregate tables rather than row-level microdata. Any researcher who needs a specific cross-tabulation that we have not published can request it at communityjournaldhiu@gmail.com.

The journal's full governance record — peer-review procedure, COPE-aligned publication ethics, informed consent, authorship and generative-AI rules, plagiarism screening, conflict-of-interest and funding disclosure, open-access terms, data availability, archiving and indexing status — is published in one place on the policies and credentials page. It also records which identifiers (ISSN, DOI, ORCID) have been issued to us and which are still pending, with the responsible registry named.

If a published figure is wrong, we correct it, date the correction and say what changed. We do not quietly edit numbers. Send corrections to the address above with the page URL and the figure in question.

All text, charts and data in the journal are published under Creative Commons Attribution 4.0. You may republish, remix, translate and build commercial work on this material — including full charts and tables — provided you credit Moyan AI and link to the source page.

Journalists and bloggers: every finding page carries a ready-made citation block and an embeddable chart. Start from the press kit or the The Kerala Gen Z Report 2026.