HWER Scholar Fellowship Program
Program Overview
"Addressing the Transmission Challenge in the AI Age"
In today’s rapidly evolving AI landscape, one of the most critical yet under-addressed issues is the challenge of knowledge transmission—how complex ideas, research insights, and domain expertise are effectively communicated, adapted, and applied across contexts.
As AI systems increasingly mediate how knowledge is created, accessed, and utilized, scholars face a shifting role:
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From solely producing knowledge → to translating, integrating, and activating knowledge across systems
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From isolated expertise → to interdisciplinary collaboration and communication
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From static outputs → to dynamic, AI-augmented knowledge ecosystems
The HWER Scholar Fellowship Program is designed to respond to this transformation by re-centering scholars around their core strength—deep, domain-specific research—while equipping them to operate effectively in the AI age.
Program Philosophy
At HWER, we recognize that many researchers are trained deeply within their disciplines but are not always supported in:
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Translating their work for broader impact
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Positioning their research within interdisciplinary and AI-driven contexts
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Navigating funding ecosystems aligned with emerging priorities
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Leveraging AI tools without losing intellectual rigor and originality
This program aims to bridge that gap.
Rather than shifting scholars away from their expertise, HWER:
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Encourages fellows to focus on their own research identity and strengths
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Provides mentorship, structure, and resources to extend that work into new domains
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Supports scholars in becoming effective transmitters and integrators of knowledge in the AI era
Program Objectives
The HWER Scholar Fellowship aims to:
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Address the knowledge transmission gap in modern research ecosystems
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Support scholars in developing independent, interdisciplinary research trajectories
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Enable fellows to translate domain expertise into fundable, impactful work
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Provide structured support for grant identification and proposal development
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Prepare scholars for future-ready roles in AI-augmented environments
Fellowship Structure
The program is designed as a research-centered, mentorship-supported fellowship.
Core components include:
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Self-Directed Research (Re-centering Core Expertise):
Fellows continue to develop their own research agenda, grounded in their domain knowledge -
Transmission & Integration Layer:
Fellows learn to:-
Translate their research into broader contexts
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Connect their work to interdisciplinary and AI-related challenges
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Communicate ideas effectively across audiences
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Grant Development Pipeline:
Fellows identify relevant funding opportunities (e.g., NSF, foundations) and develop proposals with guidance -
Mentorship & Resource Support:
HWER provides:-
Senior research mentorship
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Feedback on research direction and positioning
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Support in navigating funding and collaboration opportunities
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Core Eligibility (Baseline Requirements)
Applicants should meet at least one of the following:
Current PhD candidate (ABD or near completion), or
Recent PhD graduate (typically within 1–3 years)
Applicants from all disciplines are welcome, including but not limited to STEM, social sciences, education, and interdisciplinary fields.
Primary Evaluation Criteria
1. Research Foundation & Domain Expertise
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Demonstrated depth in a specific research area
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Strong academic or applied research background
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Ability to articulate a clear research interest or direction
We value diverse research paths, including academic, applied, and emerging interdisciplinary work.
2. Potential for Interdisciplinary Integration
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Openness to connecting research across domains
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Interest in situating work within broader systems (e.g., AI, education, society)
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Ability to think beyond disciplinary boundaries
Prior interdisciplinary experience is not required, but intellectual curiosity is essential.
3. Alignment with the Transmission Challenge
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Awareness of the importance of communicating and translating research
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Interest in improving how knowledge is shared, applied, or scaled
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Willingness to reflect on the broader impact of one’s work
We do not expect fully developed frameworks—only a genuine engagement with this challenge.
4. Research Initiative & Independence
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Ability to pursue self-directed research
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Motivation to develop ideas into proposals or structured concepts
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Evidence of initiative (e.g., publications, projects, prototypes, collaborations)
We welcome both traditional and non-traditional forms of research output.
5. Grant Development Potential
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Interest in identifying funding opportunities (e.g., NSF, foundations)
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Willingness to learn proposal writing and research positioning
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Potential to develop fundable research directions
Prior grant experience is not required.
6. Communication & Collaboration Mindset
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Ability to communicate ideas clearly across audiences
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Openness to feedback and mentorship
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Interest in engaging with a multidisciplinary research community
Holistic & Inclusive Review
The selection process follows a holistic evaluation approach, recognizing that:
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Excellence can be demonstrated through multiple pathways
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Non-traditional backgrounds and career trajectories are valued
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Potential and trajectory are considered alongside past achievements
We strongly encourage applications from scholars who may not meet every criterion but demonstrate strong potential, curiosity, and alignment with the program’s mission.
What Makes a Competitive Candidate
Highly competitive applicants typically demonstrate:
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A clear and compelling research direction
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Strong intellectual curiosity and initiative
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Interest in bridging research with broader impact
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Readiness to engage in mentorship and interdisciplinary exchange
⚠️ Program Nature & Compliance (Important)
The HWER Scholar Fellowship is not employment and should not be interpreted as a job, staff position, or contractor relationship.
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Fellows are not employees, contractors, or agents of HWER
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The program is a training-oriented, educational fellowship
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Participation is voluntary and primarily for professional development
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Fellows are not assigned operational, administrative, or revenue-generating responsibilities
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Activities are self-directed and centered on the fellow’s own research interests
HWER does not require specific deliverables tied to organizational operations, and fellows retain ownership of their research direction.
The fellowship is structured to:
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Provide training directly related to the participant’s academic field
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Offer mentorship and academic-style supervision
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Support research skill development and professional growth
Participants are responsible for ensuring compliance with their institution’s requirements and guidance from their Designated School Official (DSO).
Research Scope (Multidisciplinary)
The program is open to scholars across disciplines, including:
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Artificial Intelligence and Data Science
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Learning Sciences and Education
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Cognitive Science and Human Behavior
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Human-Computer Interaction (HCI)
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Complex Systems and Systems Thinking
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Earth Systems and Environmental Science
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Communication, media, and knowledge systems
Fellows are encouraged to maintain depth in their domain while exploring meaningful cross-domain connections.
Role of HWER
HWER does not replace the scholar’s research direction. Instead, it acts as a supportive infrastructure layer, providing:
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Mentorship: Guidance from experienced researchers
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Structure: Frameworks for research positioning and proposal development
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Resources: Access to collaborative networks and emerging opportunities
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Perspective: Support in aligning research with future societal and technological needs
The goal is to help scholars amplify and extend their existing work, not redirect it.
Fellow Responsibilities
Fellows are expected to:
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Conduct independent, mission-aligned research
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Develop research concepts and grant proposals
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Engage in mentorship and feedback processes
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Reflect on and improve how their work is communicated and applied across contexts
Outcomes & Impact
By the end of the fellowship, scholars are expected to:
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Have a clearer, more coherent research trajectory
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Develop stronger grant proposals and funding strategies
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Improve their ability to communicate and position their work
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Be better prepared to operate in an AI-augmented, interdisciplinary research environment
Why This Matters
In the AI age, the challenge is not only generating knowledge—but ensuring that knowledge is understood, connected, and applied effectively.
The HWER Scholar Fellowship is built on the belief that:
The future of research depends on scholars who can both think deeply within domains and transmit ideas effectively across systems.

The HWER Scholar Fellowship Program is a multidisciplinary, training-oriented research fellowship for PhD candidates and recent graduates. It is not a job or employment relationship, but a mentorship-based program supporting self-directed research, grant development, and interdisciplinary knowledge transmission in the AI age. HWER provides guidance and resources while fellows maintain independence in their research and professional development.