AI that supports scholarly judgement

An AI-powered research workflow with people in control

Dryfta adds practical assistance at defined points in the research journey: improving abstract quality, supporting review, recommending presentation formats, shaping the programme and extending knowledge after the event. Outputs remain reviewable, while scientific and operational decisions stay with your team.

AI-assisted peer reviewHuman oversight
Dryfta illustration introducing Virtual Reviewers for abstract review
Virtual Reviewers provide advisory assessments that remain separate from human scores.

AI capabilities at a glance

Practical assistance across the research lifecycle

These tools support different stages, from submission and review to programme construction and the post-event archive. Your team can configure the capabilities that fit its policies and workflow.

Clear academic governance

Faster assistance without changing accountability

People make the decision

Virtual assessments do not merge into human scores. Acceptance, format and programme decisions remain with the committee.

Outputs can be reviewed

Suggestions and warnings appear as work for a reviewer or programme chair to examine before anything is approved.

Use follows event policy

Your team decides where AI assistance is enabled, how outputs are checked and which roles may use them.

Submission quality

Improve submission readiness

Help authors address configured quality issues before their work enters formal peer review.

AI abstract quality checks

Start at submission, before avoidable problems reach the review queue. Organisers choose which abstract fields should be checked. Dryfta can then assess configured quality measures such as clarity, relevance, structure and language, and can include grammar or plagiarism checks when those options are enabled. Authors receive practical feedback while they can still revise their work.

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Review support

Support review and format decisions

Add advisory analysis while human reviewers and the scientific committee retain authority over scores and decisions.

AI reviewer assistance

Create up to three Virtual Reviewer profiles with relevant expertise, language and submission preferences. They use the event’s existing review form and criteria to provide an advisory assessment. Their ratings remain separate from human scores, can be compared side by side, and do not change the official result. A Virtual Reviewer can also abstain when a submission is outside its configured scope or cannot be assessed responsibly.

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AI recommendation of presentation format

Use the submission and the event’s available presentation types to produce a format recommendation for committee review. The suggestion can help distinguish work that is better suited to an oral presentation, poster, short talk or another configured format. It is a planning aid: programme chairs review the recommendation alongside scientific merit, reviewer comments, capacity and the aims of each track.

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Requested and recommended format mismatch detection

Compare the presentation format requested by the author with the format recommended during review. When they differ, Dryfta highlights the record for programme staff instead of allowing the disagreement to disappear inside comments or spreadsheets. The committee can then confirm the final format and communicate it clearly to the author.

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Programme planning

Shape the scientific programme

Turn accepted work into coherent session proposals and a timetable that organisers can review and approve.

AI topic clustering

Once decisions are available, analyse accepted submissions for meaningful subject relationships and propose clusters of related work. This gives programme chairs a structured starting point even when authors have used different terminology for similar ideas. Chairs can review, rename, split or combine the proposed clusters before using them in the programme.

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AI session builder

Turn approved topic clusters into proposed sessions using the event’s accepted submissions and presentation formats. The draft can give each session a coherent group of papers and a workable starting structure. Programme staff remain responsible for checking balance, naming the session, assigning chairs, choosing presentation order and approving the final composition.

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AI schedule conflict checks

Review the proposed programme before publication and flag timing conflicts that need attention. Checks can help programme staff find overlapping commitments involving speakers, chairs, rooms or related programme constraints. Each warning remains a prompt for an organiser to resolve; the approved timetable stays under the programme team’s control.

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Knowledge archive

Extend knowledge after the event

Make recorded discussion easier to revisit through reviewed summaries and visual topic discovery.

AI transcript summary

After a recorded or transcribed session, create a readable summary of the main points, discussion and conclusions. The summary gives participants and organisers a quicker way to understand the session without reading the full transcript. It should be reviewed before publication, especially where specialist terminology, attribution or sensitive discussion requires careful human checking.

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AI keyword cloud

Extract the most important and frequently discussed terms from a session transcript and present them as a visual keyword cloud. Larger terms indicate stronger prominence in the discussion, helping readers scan the session’s themes at a glance. The cloud complements the transcript and summary; it is a discovery aid rather than a substitute for the scholarly record.

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Configuration that follows your policy

Start where assistance removes the most pressure

Not every event needs every AI tool in the same way. We review submission volume, review structure, presentation formats and publication policy with you to demonstrate the right configuration. Availability of individual tools may depend on plan, configuration and project scope.

  • Define where assistance is advisory and who reviews it
  • Use the event’s own review form and programme criteria
  • Review outputs before a decision or publication

Dryfta KSA

See where AI can support your research-event workflow

Share your call size, review structure and programme plan for a practical demonstration focused on the points that matter to your team.

Request a demo