Mitra Salimi | Graph Data | Research Excellence Award

Published on by Network Science

Ms. Mitra Salimi | Graph Data | Research Excellence Award

University of Jyväskylä | Finland

Mitra Salimi is a marketing researcher specializing in consumer behavior, brand management, and business sustainability, with a strong focus on bridging academic insights and real-world impact. Her research explores artificial intelligence in sustainable marketing, brand crisis communication, social media dynamics, and biodiversity-respectful consumption. She also serves as a data analyst in the interdisciplinary BIODIFUL project, funded by the Academy of Finland, which examines the role of leadership in advancing sustainability and planetary well-being. Through her work, she aims to generate actionable insights that help organizations understand evolving customer expectations, respond to emerging market trends, and adopt more sustainable and responsible business practices.

Profiles: Google Scholar

Featured Publications

"Towards consumer behavior that prevents nature loss - How do risk perception and perception of the effectiveness of actions promote consumer action?", H Rouhiainen, MM Salimi, O Uusitalo, Kulutustutkimus. Nyt 18 (1-2), 2024.

"Artificial intelligence-assisted sustainable marketing: Contribution and agenda for research", J Do, O Uusitalo, M Skippari, M Salimi, Proceedings of the European Marketing Academy, 2023.

"Consumption and planetary well-being", J Do, M Salimi, S Baumeister, M Sarja, O Uusitalo, TA Wilska, Interdisciplinary perspectives on planetary well-being, 2023.

"To Forgive or Not? Consumers’ Responses to Brand Transgression", M Salimi, O Uusitalo, O Niininen, J Munnukka, American Marketing Association, 2023.

"Greenwashing and Social Media: An Examination of Consumer Responses on Twitter", M Salimi, F Tuscolano, O Niininen, O Uusitalo, Academy of Marketing Science.

Excellence in Academic Research Award in Network Science and Graph Analytics

Published on by Network Science

Introduction of Excellence in Academic Research Award in Network Science and Graph Analytics

Welcome to the pinnacle of recognition in the realm of Network Science and Graph Analytics - the 'Excellence in Academic Research Award.' This distinguished award celebrates and honors outstanding contributions to the academic landscape in these cutting-edge fields.

Eligibility:

This award is open to researchers and academics who have demonstrated exceptional prowess in the domains of Network Science and Graph Analytics. There are no age limits; the focus is solely on the quality of research contributions.

Qualifications:

Candidates must hold a Ph.D. in a relevant field and showcase a significant body of work that has made a noteworthy impact on the academic community. Qualifications will be assessed based on the depth and breadth of the candidate's contributions.

Publications and Requirements:

Applicants should have a track record of high-quality publications in reputable journals and conferences. A comprehensive research portfolio that includes innovative approaches, methodologies, and insights in Network Science and Graph Analytics is highly encouraged.

Evaluation Criteria:

The selection process will consider the originality, significance, and impact of the candidate's research. Emphasis will be placed on the academic merit, methodological rigor, and practical implications of the contributions.

Submission Guidelines:

Detailed submission guidelines can be found [here], ensuring a seamless process for candidates to present their achievements and qualifications.

Recognition:

The awardee will receive a prestigious trophy, a certificate of excellence, and the opportunity to present their work at a distinguished event within the academic community.

Community Impact:

Beyond personal recognition, the award aims to highlight the broader impact of academic research in Network Science and Graph Analytics, fostering collaboration and knowledge exchange within the community.

Biography, Abstract, and Supporting Files:

Candidates are required to submit a brief biography, an abstract summarizing their key contributions, and supporting files that demonstrate the impact of their research. These elements collectively provide a comprehensive overview of the candidate's academic journey.

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