Artifact-Based Scoring: A Guide to Research Talent Discovery
· ForesIQ
Artifact-based scoring starts with the work a researcher has published. At ForesIQ, it means interpreting that published record within a research area to describe standing, momentum and activity. Combined with specific expertise, those signals help talent teams decide whose work deserves a closer look.
Your research lead can describe the capability the team needs: a model that reasons across images and language, a robot that learns a new task, or a system that makes large models practical to run. Finding people working close to that problem takes a detailed view of their research.
The useful questions come quickly. What have they worked on? Where does their expertise run deepest? How is that work developing? Artifact-based scoring gives the search a foundation in the published record, with the context to turn a name into an informed conversation.
In this guide: Definition · The three scoring views · A worked example · Search workflow · Common questions
What is artifact-based scoring?
In ForesIQ’s Research Talent Intelligence context, an artifact is a tangible output of research: the published work that forms a researcher’s record. Artifact-based scoring describes an approach grounded in that work and interpreted within the relevant field.
The practical value is a clearer starting point for discovery. A talent team can explore the subjects a person works on, read their research standing alongside their recent trajectory, and connect that context to a specific brief.
For example, “computer vision” identifies a research area. Medical image segmentation, 3D reconstruction and vision-language models identify more specific lines of work. Understanding which of those specialisms appears in a person’s record helps a team ask a much more useful question: how close is this research to what we are trying to advance?
What does published work help you understand?
A research record gives you material to investigate. Read it through three practical questions:
- What problem does the work address? Look for the task, method or system the researcher studies.
- How does that focus develop? Read the available work across time to understand continuity and changes in direction.
- What makes it relevant to the brief? Connect a specific specialism to the capability your research team needs.
This emphasis on the work has a wider research-assessment context. The San Francisco Declaration on Research Assessment calls for judging research on its own merits and taking account of differences between subject areas. For a recruiting team, that makes close reading and field context useful companions to quantitative signals.
A productive handoff might say: “This researcher’s work on learning manipulation skills appears relevant to our robot-learning brief. We should explore the tasks they studied and their individual contribution.” That gives the research lead something concrete to assess.
How ForesIQ presents artifact-based scoring
ForesIQ’s Proprietary Scoring System presents three complementary views of the published record. Each is interpreted within a research area, giving teams a way to explore established standing, recent direction and output pace together.
| View | What it describes | How it helps discovery |
|---|---|---|
| ForesIQ Score | Research standing within an area, shown on a 0–100 scale with six bands. | Orient the search around the standing relevant to your chosen field. |
| Momentum | The direction of the recent research trajectory. | Explore how a person’s record is developing alongside their established standing. |
| Activity | The pace of recent research output. | Add a view of recent output when deciding which records to investigate. |
A researcher can have different standing in different areas. Someone whose work spans machine learning and robotics should be read in the context of the field relevant to your team’s problem. The ForesIQ score and label guide explains the customer-facing bands and labels.
Expertise and scoring answer complementary questions. Expertise helps you explore the connection to your brief. Standing, momentum and activity help you understand the research record within that field. Together, they make the next stage of research more focused.
A research brief, translated into a more useful search
Illustrative brief: a robotics team wants to explore researchers working on learning manipulation skills for unfamiliar tasks.
Start with Robotics, then explore relevant expertise such as Robot Learning, Manipulation & Grasping and Imitation Learning. Review how those topics appear in each record, including which are identified as leading expertise.
Next, bring the three scoring views into the discussion. Established standing may be useful when mapping experienced contributors in the field. Upward momentum may give the team another set of developing research trajectories to investigate. Activity adds context about recent output. The brief determines which patterns deserve attention.
Finally, connect the record to the work ahead. Review the research bio, expertise, conference publications and available career context. Prepare questions about the researcher’s contribution, the systems they studied and the next problems they want to explore.
A stronger first conversation starts with a specific connection. “Your work on learning manipulation skills caught our attention. We’re exploring related problems in unfamiliar tasks and would like to understand how you approached them.”
See how this comes together in the ForesIQ specialist sourcing use case.
How to use artifact-based scoring in a talent search
- Define the capability. Ask the research lead to describe the problem, the methods of interest and what relevant work would look like.
- Choose the field and specialisms. Explore the research area and precise expertise connected to that capability.
- Read the signals together. Consider standing, momentum and activity within the chosen field.
- Investigate the work. Review the available research context and prepare questions about individual contribution and relevance.
- Carry the reasoning forward. Record why the person’s work merits a conversation and what you want to learn next.
This approach supports both a live specialist search and proactive market mapping. In a live search, it helps organise research around a defined capability. In market mapping, it helps the team build an understanding of the people and specialisms it may need later.
Our guide to finding AI research scientists develops the sourcing workflow. The researcher evaluation guide covers the questions to take into a deeper technical discussion.
Questions about artifact-based scoring
What is the difference between a score and relevance to a role?
A ForesIQ Score describes research standing within an area. Relevance comes from the connection between a person’s work and your brief. Reading the score alongside specific expertise helps the team investigate that connection; conversations establish individual contribution, interests and suitability.
Why read momentum and activity separately?
Momentum describes direction; activity describes output pace. Reading both gives a fuller view of the recent record. A steady trajectory and an active publication record can coexist, just as an upward trajectory can appear at different levels of established standing.
How is this related to conference artifact evaluation?
ForesIQ uses the phrase to describe research-record-based talent discovery. Conference artifact evaluation has a distinct purpose: reviewing supporting research materials and, in some processes, validating reported results. ACM’s artifact review and badging policy describes that process. ForesIQ’s labels describe researchers’ records within a field.
Where should a talent team start?
Bring one research problem and a few specific topics. Explore the relevant field, inspect the work behind promising records and use the labels to structure a discussion with your research lead.
See the work behind your next research search
The people advancing frontier technology work in precise specialisms. ForesIQ brings their expertise, research standing and professional context into one workspace, helping talent teams understand who is working on what and why that work deserves attention.
Bring us the specialist brief your team is working through. We’ll explore the relevant research area, the people behind the work and how the scoring views support your search.
Request A Demo and we’ll send you a personalised demo showing how ForesIQ puts research contributions in context. You can also see the database preview.