Summary
Aharon Hauptman is senior researcher at TSF/ICTAF since 1988. Dr. Hauptman has a B.Sc from the Technion (Israel Institute of Technology) and Ph.D in Engineering from Tel-Aviv University (1986).
Specializing in the evaluation of trends in emerging technologies and their impacts, he has much experience in Technology Foresight and its relations with research policy and with various application areas. Examples of past/recent activities: Delphi surveys of emerging technologies; foresight in nanobiotechnology; foresight in the area of future unmanned/autonomous systems, “wild cards” and “weak signals”.
He has been involved in several EU FP6 projects (ELOST, Knowledge-NBIC, SSH-FUTURES) and led central work-packages or tasks in the FP7 projects FESTOS (impact of future/emerging technologies on security), PRACTIS (impact of future technologies on privacy), iKNOW (wild cards and weak signals shaping the future science, technology and innovation policy) and RACE2050 (future transportation scenarios).
Source: Webpage
OnAir Post: Aharon Hauptman
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RACE2050
RACE2050 foresight study aims to identify key success factors for a sustainable growth of the European Transport industry and for policies which can increase its strength in a long perspective up to 2050.
By integrating the tremendous available foresight intelligence into a comparative synopsis, we will be able to compare and assess various visions and especially different policies to reach these goals.
The results of this analysis will be discussed with experts from the transport industry, research, policy, and the foresight field. By this, we will come up with weighted explanations and long duration core concepts for a sustainable strength of the transport industry.
By studying the actual impacts of past foresight studies we will learn how to present our own integrative foresight synopsis and what to expect from transport industry and policy.
Important drivers of change will be extracted by analyzing current policies, emerging technologies, energy and environment aspects, demand forces, geopolitical trends and other relevant domains.
General Morphological Analysis (GMA) will then be used to integrate and assess a multitude of driving forces for alternative scenarios. Wild Cards analysis will provide additional important input to the final outcomes: novel scenarios for 2030 and 2050 on the competitiveness of the European transport industry.
The scenario construction will be supported by a web-based interactive foresight synopsis tool, envisioned to create a long-term legacy for stakeholders, lasting beyond the duration of the project.
