The Sustainable Machine Intelligence Journal (SMIJ) is committed to recognizing and celebrating excellence in research and peer review. Our award policy aims to honor outstanding contributions to the journal and to the advancement of knowledge in the field of sustainable machine intelligence.

 

Best Paper Award:

• Objective: The "Best Paper Award" is designed to acknowledge and reward exceptional research contributions published in SMIJ. This award recognizes papers that exhibit innovation, significance, impact, and a high level of clarity in presentation.
• Selection Criteria: The best paper for each volume will be chosen based on the following criteria:
• Innovation: The extent to which the paper introduces novel concepts, ideas, or methodologies.
• Significance: The paper's impact on the field and its contribution to advancing knowledge.
• Impact: The real-world relevance and potential applications of the research.
• Clarity of Presentation: The quality of writing, organization, and communication of the research.
• Selection Process: The Editorial Board Members of SMIJ will evaluate all published papers and select the best paper based on the established criteria. Their decision will be final.
• Recognition: The selected paper will receive a "Best Paper Award Certificate" and will be prominently featured on the SMIJ website and in the journal's marketing materials.

 

Best Reviewer Award:

• Objective: The "Best Reviewer Award" is intended to acknowledge the invaluable contribution of reviewers who provide high-quality feedback, thorough reviews, and timely responses, ensuring the integrity and quality of the journal's content.
• Selection Criteria: The Best Reviewer Award will be presented to reviewers who demonstrate the following attributes:
• Insightful Feedback: Reviewers who offer constructive and perceptive comments that enhance the quality of the manuscripts.
• Knowledgeable Reviewing: Reviewers who exhibit a strong grasp of the subject matter and provide informed critiques.
• Quality Reviews: Reviewers who consistently maintain high standards in the review process.
• Timely Completion: Reviewers who complete assigned reviews within the specified timeframe.
• Selection Process: The Editorial Board Members of SMIJ will assess the performance of reviewers throughout the year and select the Best Reviewer Award recipients based on their sustained excellence in meeting the outlined criteria. Their decision will be final.
• Recognition: Recipients of the Best Reviewer Award will be recognized with a certificate of appreciation. Their names will also be prominently displayed on the SMIJ website and in the journal's acknowledgments.

 

 Early Career Researcher Award:

• Objective: The "Early Career Researcher Award" is established to recognize and encourage exceptional achievements by researchers in the early stages of their career within the field of sustainable machine intelligence.
• Eligibility Criteria: This award is open to researchers who are at the early stages of their careers (typically within the first five years post-Ph.D. or equivalent qualification) and have made substantial contributions to the field.
• Selection Criteria: The award recipient will be selected based on the following criteria:
• Research Impact: Demonstrated impact through significant contributions to sustainable machine intelligence research.
• Originality and Innovation: Pioneering and innovative work that shows promise for future advancements in the field.
• Quality of Publications: High-quality publications that demonstrate rigor and significance.
• Contribution to the Field: Active participation and involvement in initiatives related to sustainable machine intelligence.
• Selection Process: The Editorial Board and relevant experts in the field will evaluate nominees' contributions and select the recipient based on the outlined criteria.
• Recognition: The recipient of the Early Career Researcher Award will receive a certificate of recognition, a monetary prize, and acknowledgment in SMIJ's publications and website.

 

Outstanding Contribution to Open Science Award:

• Objective: The "Outstanding Contribution to Open Science Award" aims to acknowledge individuals or groups whose efforts have significantly advanced the principles and practices of open science within the domain of sustainable machine intelligence.
• Eligibility Criteria: This award is open to individuals or groups who have demonstrated a profound commitment to promoting open science principles within the field.
• Selection Criteria: The award recipient will be chosen based on the following criteria:
• Advocacy for Open Science: Remarkable efforts in promoting and advocating for open access, transparency, and collaboration in research.
• Innovative Practices: Implementation of innovative methodologies or practices that enhance the accessibility and reproducibility of scientific research.
• Impact on the Community: Substantial influence on the community through initiatives supporting open science in the domain of sustainable machine intelligence.
• Selection Process: Nominations and evaluations will be conducted by the Editorial Board and experts in open science. The award recipient will be selected based on the outlined criteria.
• Recognition: The recipient of the Outstanding Contribution to Open Science Award will receive a certificate of appreciation, recognition in SMIJ's publications and website, and potential invitations to speak or participate in related events or panels.

 

Lifetime Achievement Award:

• Objective: The "Lifetime Achievement Award" aims to honor individuals who have made substantial and enduring contributions to the field of sustainable machine intelligence over the course of their career.
• Eligibility Criteria: This award recognizes seasoned individuals who have significantly impacted the field through their long-term commitment, exceptional contributions, and influence on sustainable machine intelligence.
• Selection Criteria: The award recipient will be chosen based on the following criteria:
• Sustained Impact: Long-term impact on the development and advancement of sustainable machine intelligence.
• Pioneering Work: Groundbreaking research or influential initiatives that have shaped the field.
• Leadership and Mentorship: Significant roles in mentoring and guiding the next generation of researchers in the field.
• Selection Process: The Editorial Board and respected experts in the field will review nominations and select the recipient based on the established criteria.
• Recognition: The recipient of the Lifetime Achievement Award will be honored with a special plaque, recognition in SMIJ's publications and website, and potentially invited to give a keynote address or participate in special events related to the journal.

 

Continual Improvement:

This award policy is subject to continual review and improvement to ensure that it aligns with the journal's evolving needs and standards. We aim to celebrate and promote excellence in research and reviewing, thereby enhancing the quality and impact of SMIJ.