Jan Černý, Martin Potančok, and Elias Castro Hernandez publish joint research on Early Warning Systems

Elias and Martin – SCET x VSE partnership

Elias Castro Hernandez, former Sutardja Center for Entrepreneurship & Technology (SCET) senior editor and Data-X lecturer, Martin Potančok, former SCET visiting researcher from the Prague University of Economics and Business (VŠE), and Jan Černý, research assistant professor at VŠE, recently published a research paper in the area of early warning systems (EWS) on October 28, 2021. An EWS is an integrated warning system that aims to monitor, forecast, predict, and identify hazards early using a chain of information communication systems, consisting of sensors, disaster risk assessment tools, and event detection and decision subsystems. 

Martin (left) and Elias (right) at UC Berkeley SCET

The research paper titled, ‘Toward a typology of weak-signal early alert systems: functional early warning systems in the post-COVID age,’ presents groundbreaking approaches to dealing with some of the well-known issues that are associated with traditional EWS. The paper aims to expand on the concept of an EWS by introducing weak-signal detection, human-in-the-loop (HIL) verification and response tuning as integral parts of an EWS’s design. Moreover, with the findings from their research, Elias Castro Hernandez, Martin Potančok, and Jan Černý were able to propose a system that could be used in transforming weak signals into early warnings and associated weak/strong responses. 

Read the original research paper abstract below:


Abstract

Purpose

The study aims to expand on the concept of an early warning system (EWS) by introducing weak-signal detection, human-in-the-loop (HIL) verification and response tuning as integral parts of an EWS’s design.

Design/methodology/approach

The authors bibliographically highlight the evolution of EWS over the last 30+ years, discuss instances of EWSs in various types of organizations and industries and highlight limitations of current systems.

Findings

Proposed system to be used in the transforming of weak signals to early warnings and associated weak/strong responses.

Originality/value

The authors contribute to existing literature by presenting (1) novel approaches to dealing with some of the well-known issues associated with contemporary EWS and (2) an event-agnostic heuristic for dealing with weak signals.

Read the rest of the research paper here!


SCET x VŠE Partnership 

UC Berkeley SCET has been in partnership with VŠE since 2019, facilitating the exchange of pedagogy, faculty, and students between the two universities for over 2 years, along with collaborating on several Data & Analytics research projects. In addition to bringing students to Berkeley from around the globe, SCET engages alumni, investors, professionals, executives, and firms as students, educators, sponsors, and collaborators to not only bring fresh, relevant ideas to the learning environment, but also give aspiring entrepreneurs and innovators the chance to innovate in an environment that more closely matches the real world. Click here to find out more about how the Sutardja Center supports its Global Partners, and click here to read more about SCET’s “Visiting Researcher” program!  


About UC Berkeley SCET

The Sutardja Center for Entrepreneurship & Technology is a global innovation hub headquartered at UC Berkeley’s College of Engineering, where aspiring entrepreneurs take deep dives into the world of technology entrepreneurship and embark on the path to developing exciting new ventures. The Center researches emerging technologies in its labs and offers a suite of courses and programs for students, executives, and global innovators. The Center has labs focused on innovation in data science, artificial intelligence, blockchain, and meat alternatives. Additionally, academics from around the world visit the Center to learn about the Berkeley Method of Entrepreneurship, a unique innovation pedagogy that focuses on mindset training for innovators and entrepreneurs. UC Berkeley is the world’s #1 public university and ranks as the #2 university for startups and entrepreneurs, according to Pitchbook. UC Berkeley has been at the forefront of innovation in emerging technologies such as blockchain and artificial intelligence. 

About the Prague University of Economics and Business (VŠE)

The Prague University of Economics and Business (VŠE) is a triple crown accredited Economics and business-oriented public university located in Prague, Czech Republic. It is the largest university in the field of economics, business, and information technology in the Czech Republic, with 14,000 students across its bachelor’s, master’s, doctoral, and MBA programs. It is considered the best business school in the Czech Republic and one of the best in Central and Eastern Europe. Read more about VŠE here!

 

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