Global Framework for Scientific Event: A 32-Country and 118-Expert Collaborative Effort
Authors: Fahmi H. Kakamad  , Fattah H. Fattah  , Abdulwahid M. Salih  , Berun A. Abdalla  , Shvan H. Mohammed  , Walid R. Rashed  , Adam C. Naj  , Radoslaw Spiewak  , Vedran Kovacic  , Marko Mladineo  , Marko Perić  , Ladislav Batalik  , Piotr Major  , Aleksander Panasiuk  , Dominik Strzelecki  , Piotr Wysocki  , Elżbieta Senkus  , Pero Lučin  , Fernando Ferreira-Santos  , M.P.F. Graça  , Manuel Fernandes Ferreira  , João Miguel Dias  , Albano Beja-Pereira  , Hugo Rodrigues  , Nelson Lima  , Pedro Rosário  , Sofia Maraki  , Sergey P. Chenakin  , Iryna S. Shevchenko  , Jer-Yen Yang  , Ouajdi Korbaa  , Gusztáv Fekete  , Imre Ferenc Barna  , Miklos Garami  , Orestis Ioannidis  , Orfeu Bertolami  , Meropi D. Kontogianni  , George Notas  , Victoria Samanidou  , Jean-François Mas  , Juan G. Báez-González  , Alejandro Córdova-Izquierdo  , Nicholas J. Bradshaw  , Željka Fiket  , Alex Wilson  , Marwan N. Hassan  , Rawezh Q. Salih  , Hunar A. Hassan  , Hawbash M. Rahim  , Hiwa O. Abdullah  , Sasan M. Ahmed  , Ayman M. Mustafa  , Timothée Levi  , Andrés Caballero Garcia de Oteyza  , Harun Amanj Ahmed  , Shaney Flores  , Mahmoud Fathi Nassar  , Maciej Kostrubiec  , Raimund Pechlaner  , Amirreza Mahbod  , Tim Brys  , Hubert Rahier  , Evgeniy Yakushev  , Christer Janson  , Francisco García-Muro-San José  , Ramón Salaverría  , Amedeo Amedei  , Alfredo Vannacci  , Elza Bontempi  , Matteo Paganini  , Tetsushi Sakuma  , Yoshihiro Noda  , Ali Mobasheri  , Mutlu Özcan  , Alexander Martynenko  , Krykliy Olena  , Boris Mankovsky  , Ki Hyun Kim  , Jinsoo Kim  , Cheorl-Ho Kim  , Aleksandra Torbica  , Esma R. Isenovic  , Olgica D. Stefanović  , Eleonora Dubljanin  , Ivana Radojević  , Silviu Daniel Preda  , Ion Mihai  , Manjul Tripathi  , Prabudh Goel  , Swapnajeet Sahoo  , Vishal Sharma  , Joao A. Martino  , Sergio Adorno  , Arthur Belém Novaes JR  , Jalal Arabloo  , Yousef Moradi  , Behzad Shahmoradi  , Sakineh Shab-Bidar  , Parvaneh Taymoori  , Ali Khamesipour  , Kamran B. Lankarani  , Nima Rezaei  , Abbas Sheikhtaheri  , Abdol-Mohammad Kajbafzadeh  , Zahra Atafar  , Riffat Naseem Malik  , Sidra Zaheer  , Sohail Nadeem  , Hassan Elahi  , Akbar Jaleel Zubairi  , Nawazish A. Khan  , Gul Shahnaz  , Muhammad Zafar  , Shiyam Sunder Tikmani  , Ali Hassan  , Masood Umer  , Furqan Kabir  , Shelina Bhamani  
Published: October 2024

Introduction
Despite numerous efforts to define and categorize scientific events, a consensus remains elusive, complicating the understanding and classification of such events. The current study aims to establish clear, consensus-based definitions for various types of scientific events by examining their definitions and purposes from the perspectives of scholars across different countries.
Methods
The current study used a descriptive survey design to gather responses from scholars across 32 countries about their perceptions of scientific events. The sample size was determined using G*power, requiring 80 participants; 118 were recruited. Data was collected via a Google Forms survey with a 9-point Likert scale. Invitations were emailed. The Content Validity Index (CVI) was used to assess item relevance, with all items achieving a CVI above 0.78. Data analysis involved descriptive statistics, and ethical considerations regarding voluntary participation and confidentiality were observed.
Results
This study validated the definitions of ten event types, each achieving a CVI above 0.78. The scientific events were categorized into conferences, symposiums, workshops, courses, summits, panels, meetings, fast-track reviews, annual reviews, and seminars. Course and panel garnered the highest level of consensus with a CVI of 0.983. Fast-track review also demonstrated a strong agreement among participants, with 82.2% expressing their concurrence with the provided definition.
Conclusion
The study establishes consensus-based definitions for scientific events, enhancing standardization in the academic community and underscoring the importance of precise categorization.