Cvetković, V. (2021). Innovative solutions for disaster early warning and alert systems: a literary review. Eleven International Scientific Conference “Archibald Reiss Days”, Belgrade, November 9–10, Belgrade, University of Criminal Investigation and Police Studies. Vladimir M. Cvetković 1,2[1] 1 Faculty of Security Studies, University of Belgrade, Gospodara Vučića 50, 11040 Belgrade, Serbia 2 Scientific-Professional Society for Disaster Risk Management, Dimitrija Tucovića 121, 11056 Belgrade, Serbia  Abstract: In different parts of the world, decision-makers and risk managers use specific and particularly complex disaster early warning and alert systems to protect people and their material goods from the harmful effects of various disasters in a timely, efficient and appropriate manner. However, concerning the level of scientific-technological and economic development of certain countries, such systems can differ in the many characteristics that make them more efficient in specific situations. Guided by this, the subject of the paper is reflected in the systematic identification, analysis, and classification of the best innovative solutions for early warning systems regarding their usability and efficiency. To find appropriate innovative solutions, it was performed a search of different electronic databases. The findings of this review showed that there is a huge potential for innovative solutions in the field of disaster early warning and alert systems. Keywords: disasters, early warning, alert system, innovative solutions, DAREnet, literary review. Introduction Around the world, national and regional organizations are developing technical systems to detect potential natural hazards (Fujita & Shaw, 2019; Guo & Kapucu, 2019; Ocal, 2019) as timely and easily as possible, then pass on such information to citizens and enable them to protect themselves on time. Many communication tools, such as short message service (SMS), email, radio, TV, and online service, are now accessible for warning distribution (Alias et al., 2020; Aloudat & Michael, 2011; Chen, Zhu, Ni, & Su, 2020; Grasso […]