Benefits and Selection Criteria

Benefits

Increased Visibility: Your lab, center, or institute will be featured on the Institute for Digital
Agriculture and Advanced Analytics website under a specific page, including your org’s expertise
and contact information.

Engagement Activities: Secure first priority for participation in institute-hosted engagement
activities, increasing visibility and impact in the field.

Amplify Your Impact: Expand your reach and influence by connecting with new audiences
through the institute’s platforms and partnerships.

Funding Opportunities: Gain access to potential funding sources for new projects through
institute connections and collaborative grant applications.

Student Engagement: Connect students to the institute through research, mentorship, and
learning opportunities, enhancing student involvement in digital agriculture and advanced
analytics.

Priority Research & Educational Collaboration: Receive first priority for research partnerships
within the affiliate network, fostering interdisciplinary collaboration, as well as for educational
initiatives such as trainings, workshops, microcredentials, and new programs.

Expanded Network & Engagement: Access a structured network of university experts in digital
agriculture and advanced analytics, plus institute-hosted networking events to connect and
exchange ideas.

Selection Criteria

Alignment with Mission: Focus on digital agriculture, advanced analytics, data science, AI, or related fields. Commitment to interdisciplinary collaboration and innovation in agriculture and data-driven solutions.

Research & Expertise: Demonstrated expertise in digital agriculture, precision farming, computational modeling, remote sensing, big data analytics, or AI applications. Ongoing or past research projects relevant to the institute’s goals.

Capacity for Collaboration: Willingness to engage in interdisciplinary research partnerships. History of successful collaboration with other academic units, industry partners, or
government agencies.

Educational Contributions: Interest in contributing to educational programs, including workshops, microcredentials, courses, or student mentorship. Experience in training students, professionals, or stakeholders in digital agriculture and advanced analytics.

Engagement & Outreach: Active participation in outreach activities, stakeholder engagement, or knowledge dissemination. Commitment to expanding the impact of digital agriculture through partnerships, public engagement, or technology transfer.

Infrastructure & Resources: Access to relevant lab facilities, datasets, computing infrastructure, or field sites that support digital agriculture research. Capacity to support collaborative projects through personnel, funding, or technical expertise.

Commitment to Access & Opportunity: Support for diverse perspectives and inclusion in research, education, and outreach initiatives. Efforts to engage underrepresented groups in STEM, agriculture, and data science.

Potential for Impact & Growth: Ability to contribute to the institute’s long-term vision and strategic initiatives. Potential to attract funding, industry partnerships, or policy influence in digital agriculture
and advanced analytics