Research identity interpretation
Transforms research signals into structured narratives about capability, direction, gaps, and publication readiness.
Portfolio product · Research intelligence
Ariells
Research identity intelligence for scholars, research teams, knowledge workers, and institutions.
Project role
Ariells helps researchers understand their intellectual direction and publication readiness.
Ariells is a research intelligence product developed by We Doing Good Ltd. It is designed to help researchers, doctoral candidates, early-career academics, research groups, and knowledge workers interpret their research identity, methodological strengths, publication pathway, collaboration fit, and development needs.
Unlike tools that only store documents or recommend journals, Ariells aims to build a governed understanding of the researcher: interests, methods, goals, writing samples, claims, evidence, maturity, preferences, constraints, and trajectory.
Operator: Ariells is developed and operated by We Doing Good Ltd, a Finland-based limited liability company. Ariells is a product and venture brand inside We Doing Good Ltd unless a separate legal entity is explicitly created.
Open-call relevance
Why Ariells fits future research, AI, education, and knowledge-sector calls.
Ariells can support grant calls focused on responsible AI for research, digital education, researcher development, research commercialisation, academic productivity, and knowledge-work infrastructure.
Researcher development
Supports doctoral candidates, early-career researchers, and supervisors with clearer development pathways and evidence-based reflection.
Knowledge translation
Helps researchers translate expertise into publications, collaborations, public outputs, private-sector relevance, or entrepreneurial pathways.
Problem
Researchers often have outputs before they have a clear research identity.
Many researchers struggle to explain their intellectual direction, publication strategy, methodological fit, collaboration profile, and long-term development path. Existing tools often focus on documents, metrics, or journal lists rather than the researcher as an evolving intellectual system.
Solution
A governed intelligence layer for research growth.
Ariells interprets research artefacts, goals, methods, claims, evidence, constraints, and preferences to produce meaningful research-development outputs rather than raw diagnostic scores.
Core capabilities
What Ariells is being built to produce.
Ariells is designed to support researcher self-understanding, publication strategy, collaboration decisions, and knowledge translation.
Research identity narrative
Explains the researcher’s emerging intellectual position, recurring themes, methods, and contribution pattern.
Capability profile
Maps strengths, methods, evidence habits, writing maturity, theoretical range, and development needs.
Publication readiness
Interprets whether a paper, article, proposal, or manuscript is ready, underdeveloped, mispositioned, or missing evidence.
Methodology fit analysis
Assesses whether the chosen method fits the research question, claim type, available evidence, and intended audience.
Research trajectory map
Shows how a researcher’s work can evolve across papers, projects, collaborations, public outputs, and longer-term expertise.
Collaboration compatibility
Helps identify intellectual, methodological, and practical fit between researchers, teams, institutions, or private-sector partners.
Pilot plan
How Ariells can be tested in a funded open-call setting.
01
User group definition
Select a pilot cohort such as doctoral candidates, early-career researchers, research teams, or knowledge workers.
02
Research artefact intake
Collect user-approved inputs such as abstracts, bios, writing samples, research goals, publication plans, and method descriptions.
03
Interpretive outputs
Generate research identity narratives, capability profiles, publication-readiness notes, and development recommendations.
04
Validation and ethics
Validate usefulness, accuracy, user agency, transparency, and responsible-AI safeguards with participants or expert reviewers.
Research clarity
Improved user ability to explain research direction, contribution, and next publication step.
Output usefulness
User and supervisor assessment of whether Ariells outputs are accurate, practical, and developmentally useful.
Responsible AI
Transparency of interpretation, user control over inputs, and clear separation between support and academic judgement.
Grant-facing statement
Ariells is a research intelligence product operated by We Doing Good Ltd.
For future open calls, Ariells can be positioned as an AI-supported research development system for interpreting research identity, publication readiness, methodology fit, and knowledge translation while preserving researcher agency and responsible use.