--- title: "International Radar Symposium 2027 (IRS 2027) — Vienna" description: "International Radar Symposium 2027 (IRS 2027) is a professional conference in Vienna, Austria, Jun 2–4, 2027. Dates, deadlines, fees, and prep links." url: "https://modeldiplomat.com/conferences/professional/international-radar-symposium-2027-irs-2027" --- # International Radar Symposium 2027 (IRS 2027) Jun 2–4, 2027[Vienna, Austria](https://www.google.com/maps/search/?api=1\&query=Vienna%2C%20Austria)In-person [Registration open](https://www.dgon-irs.org/home/) The International Radar Symposium (IRS) is a prominent conference focused on advancements in radar technology. Hosted in Vienna, Austria, the symposium brings together researchers, engineers, and industry professionals to discuss innovations across various radar applications, from automotive and aerospace to defense and environmental sensing. It serves as a critical platform for knowledge exchange and collaboration within the global radar community. ## Committees & topics - Topics Radar System Architectures and Integrated Sensing and Communications · Ground, Airborne, and Spaceborne Radar Applications · Innovations in Radar Signal Processing: Multi-Channel and Adaptive Techniques · Millimeter Wave and Terahertz Radar Technologies · Advanced Radar Tracking, Localisation, and Sensor Data Fusion · Radar for Automotive, Maritime, and Industrial Applications · Clutter Modelling and Radar Signal Propagation · Cognitive Radar and Compressive Sensing Techniques ## Why it matters Radar technology plays a pivotal role in numerous sectors, including national security, transportation safety, and scientific research. Innovations discussed at IRS directly contribute to enhancing capabilities in areas such as autonomous driving, air traffic control, weather forecasting, and defense systems. The symposium's focus on emerging trends and challenges ensures that participants are at the forefront of technological development. The gathering in AUT provides a neutral ground for international collaboration, fostering an environment where diverse perspectives can converge on common technical challenges. This cross-pollination of ideas is essential for driving forward the complex and often dual-use nature of radar advancements. The discussions at IRS can influence future research directions and industry standards, impacting how radar systems are developed and deployed globally. ## How to prepare For those preparing to engage with the International Radar Symposium, a thorough understanding of the current state of radar technology and its geopolitical implications is crucial. Consider how advancements in radar, particularly in areas like synthetic aperture radar (SAR) or active electronically scanned arrays (AESA), are influencing strategic capabilities of nations like USA, CHN, DEU, and GBR. Understanding these dynamics will allow for more informed participation and networking. Delegates should also consider the ethical dimensions of radar technology, especially concerning surveillance and autonomous systems. Preparing to discuss these broader societal impacts, beyond purely technical specifications, can lead to more impactful engagement. Reviewing the "[Hidden Stakeholders](https://modeldiplomat.com/learn/lessons/hidden-stakeholders)" and "Engagement Strategies" lessons can provide valuable frameworks for understanding the diverse interests at play and how to navigate them effectively within a technical forum. ## Country perspectives Where the most-relevant 5 countries stand on the core issues in play. Click through for the full country profile. [United States](https://modeldiplomat.com/country/united-states) [Leading innovator in defense and commercial radar applications.](https://modeldiplomat.com/country/united-states) [Role in topic](https://modeldiplomat.com/country/united-states) [The USA is a major developer and consumer of advanced radar systems, particularly in defense, aerospace, and emerging autonomous vehicle technologies. Their perspective often centers on cutting-edge research, military applications, and commercialization of radar innovations.](https://modeldiplomat.com/country/united-states) [China](https://modeldiplomat.com/country/china) [Rapidly advancing its radar capabilities for both military and civilian use.](https://modeldiplomat.com/country/china) [Role in topic](https://modeldiplomat.com/country/china) [CHN has significantly invested in radar technology, focusing on indigenous development for defense, weather monitoring, and space exploration. Their contributions often highlight advancements in signal processing, stealth detection, and large-scale deployment.](https://modeldiplomat.com/country/china) [Germany](https://modeldiplomat.com/country/germany) [Strong presence in automotive radar and industrial applications.](https://modeldiplomat.com/country/germany) [Role in topic](https://modeldiplomat.com/country/germany) [DEU is a key player in automotive radar for advanced driver-assistance systems (ADAS) and autonomous driving. They also contribute significantly to industrial radar applications and scientific research, often emphasizing precision and reliability.](https://modeldiplomat.com/country/germany) [United Kingdom](https://modeldiplomat.com/country/united-kingdom) [Significant contributions to defense radar and air traffic control.](https://modeldiplomat.com/country/united-kingdom) [Role in topic](https://modeldiplomat.com/country/united-kingdom) [The GBR has a long history of innovation in radar, particularly in defense and air traffic management. Their focus often includes sophisticated surveillance systems, electronic warfare, and integration of radar into complex operational environments.](https://modeldiplomat.com/country/united-kingdom) [Austria](https://modeldiplomat.com/country/austria) [Host nation, fostering international collaboration in radar research.](https://modeldiplomat.com/country/austria) [Role in topic](https://modeldiplomat.com/country/austria) [As the host nation, AUT provides the venue for this international exchange. While perhaps not a primary developer of large-scale radar systems, its role in facilitating scientific discourse and collaboration is crucial for the global radar community.](https://modeldiplomat.com/country/austria) ## Topics & background The background behind each topic and the actors that shape it. 1 ### Radar System Architectures and Integrated Sensing and Communications Radar and radio communications evolved largely in parallel from the 1930s onward, with radar emerging from British, German, and American work on air defense ahead of the Second World War and communications growing out of broadcasting and military command networks. For decades the two domains competed for spectrum, with radar bands (notably S, C, X, and Ku) progressively encroached upon by cellular, Wi-Fi, and satellite services. Studies by the U.S. National Telecommunications and Information Administration and the European Commission in the 2010s formalized the resulting congestion problem, and the ITU World Radiocommunication Conferences have repeatedly debated radar-communications coexistence. Integrated Sensing and Communications (ISAC) emerged as a response, treating sensing and communication as a joint waveform design problem rather than two competing services. Driven by 5G and 6G research programs in the late 2010s, ISAC is now a recognized 6G usage scenario in the ITU-R IMT-2030 framework adopted in 2023. Modern radar system architectures are converging on software-defined, digital array, and multifunction RF designs in which a single aperture supports radar, electronic warfare, and communications. The core debate today concerns standardization, spectrum allocation, and the security implications of dual-use waveforms. National regulators must reconcile incumbent radar users — chiefly defense and meteorological agencies — with commercial telecom operators seeking mid-band spectrum, while industry consortia work toward common ISAC reference architectures. Key players - [United States](https://modeldiplomat.com/country/united-states) [Leads ISAC research through DARPA and IEEE, and manages key radar bands via the FCC and NTIA](https://modeldiplomat.com/country/united-states) - [China](https://modeldiplomat.com/country/china) [Major contributor to 6G ISAC standards and operator of large radar and satellite sensing networks](https://modeldiplomat.com/country/china) - [Germany](https://modeldiplomat.com/country/germany) [Hosts Fraunhofer FHR and major radar primes shaping European multifunction RF architectures](https://modeldiplomat.com/country/germany) - [United Kingdom](https://modeldiplomat.com/country/united-kingdom) [Historic radar pioneer with active defense and 6G ISAC programs through DSTL and UKRI](https://modeldiplomat.com/country/united-kingdom) - [South Korea](https://modeldiplomat.com/country/south-korea) [Significant investor in 6G ISAC trials and millimeter-wave system integration](https://modeldiplomat.com/country/south-korea) 2 ### Ground, Airborne, and Spaceborne Radar Applications Ground-based radar matured during the Second World War for air defense and air traffic control, with airborne radar following quickly via systems such as the H2S bomber radar and post-war fire-control and weather radars. Spaceborne radar entered operational use with Seasat in 1978, the first civil synthetic aperture radar (SAR) satellite, and expanded through programs such as ERS, RADARSAT, TerraSAR-X, and the European Copernicus Sentinel-1 constellation. Each platform class developed distinct doctrines: ground radars for surveillance and meteorology, airborne radars for tactical ISR and AEW\&C, and spaceborne SAR for wide-area, all-weather Earth observation. The 2010s and 2020s saw a proliferation of small SAR satellites from commercial operators including Capella, ICEYE, and Umbra, dramatically lowering revisit times and reshaping the intelligence and disaster-response markets. Airborne radar has shifted toward AESA arrays on platforms such as the F-35, while ground-based systems are being upgraded for hypersonic threat tracking, exemplified by the U.S. Long Range Discrimination Radar in Alaska. The war in Ukraine has further demonstrated the operational value of fused multi-platform radar coverage. Key contemporary issues include cross-domain data fusion, export controls on high-resolution SAR imagery, orbital debris detection, and the integration of commercial and military radar feeds into common operating pictures. Key players - [United States](https://modeldiplomat.com/country/united-states) [Operates the broadest mix of ground, airborne, and spaceborne radar assets across NORAD, USAF, and NRO](https://modeldiplomat.com/country/united-states) - [Germany](https://modeldiplomat.com/country/germany) [Develops TerraSAR-X/TanDEM-X and contributes to Copernicus Sentinel-1 SAR missions](https://modeldiplomat.com/country/germany) - [Italy](https://modeldiplomat.com/country/italy) [Operates the COSMO-SkyMed dual-use SAR constellation and major airborne radar industry](https://modeldiplomat.com/country/italy) - [Canada](https://modeldiplomat.com/country/canada) [Runs the RADARSAT Constellation Mission, a cornerstone of civil SAR Earth observation](https://modeldiplomat.com/country/canada) - [Japan](https://modeldiplomat.com/country/japan) [Develops ALOS-series L-band SAR satellites and advanced airborne radar systems](https://modeldiplomat.com/country/japan) - [China](https://modeldiplomat.com/country/china) [Expanding ground-based space surveillance and Gaofen SAR satellite constellations](https://modeldiplomat.com/country/china) 3 ### Innovations in Radar Signal Processing: Multi-Channel and Adaptive Techniques Radar signal processing began with simple matched filtering and moving target indication in the 1940s and 1950s, but the introduction of digital processing in the 1970s enabled pulse-Doppler radar, adaptive beamforming, and space-time adaptive processing (STAP), the latter formalized by Lawrence Brennan and Irving Reed at Technology Service Corporation in 1973. Multi-channel architectures — phased arrays, MIMO radar, and digital arrays — have since become standard, supported by Moore's Law gains in ADCs, FPGAs, and GPUs. The 2000s and 2010s brought MIMO radar theory (notably work by Fishler, Haimovich and colleagues), sparse and compressive techniques, and the first practical applications of deep learning to radar classification and clutter suppression. Today the field is dominated by hybrid model-based and data-driven approaches, with adaptive techniques tailored to congested electromagnetic environments and to passive radar exploiting illuminators of opportunity such as DVB-T and 5G signals. Debates center on the trustworthiness and explainability of AI-based processing in safety-critical and military systems, on training data scarcity for rare targets, and on the standardization of open processing frameworks that allow algorithm portability across hardware platforms. Key players - [United States](https://modeldiplomat.com/country/united-states) [Home to foundational STAP and MIMO radar research at AFRL, MIT Lincoln Laboratory, and major primes](https://modeldiplomat.com/country/united-states) - [Germany](https://modeldiplomat.com/country/germany) [Strong academic-industrial base at Fraunhofer FHR, TU Hamburg, and Hensoldt for adaptive processing](https://modeldiplomat.com/country/germany) - [France](https://modeldiplomat.com/country/france) [ONERA and Thales drive European work on cognitive and adaptive radar algorithms](https://modeldiplomat.com/country/france) - [Italy](https://modeldiplomat.com/country/italy) [Leading academic radar signal processing community, notably at Sapienza and University of Naples](https://modeldiplomat.com/country/italy) - [Israel](https://modeldiplomat.com/country/israel) [Active in adaptive and AI-enhanced radar via Elta, IAI, and Rafael](https://modeldiplomat.com/country/israel) - [China](https://modeldiplomat.com/country/china) [Rapidly expanding output in MIMO and deep-learning radar research across NUDT and Xidian](https://modeldiplomat.com/country/china) 4 ### Millimeter Wave and Terahertz Radar Technologies Millimeter-wave (mmWave) radar, operating roughly between 30 and 300 GHz, was pioneered for military seekers and short-range fire control in the late twentieth century, with the 77 GHz automotive band opened by European regulators in the early 2000s catalyzing mass-market deployment. The terahertz band (0.1-10 THz) long remained a 'gap' between electronics and photonics until advances in SiGe, InP, and CMOS front-ends and the development of photoconductive antennas made compact THz radars feasible in the 2010s. Today mmWave radar dominates automotive sensing and is increasingly used for security screening, vital-signs monitoring, and short-range industrial applications, while THz radar is moving from laboratory demonstrations toward applications in standoff imaging, non-destructive testing, and high-resolution scene understanding. The IEEE 802.15.3d standard and ITU-R studies of frequencies above 100 GHz reflect the band's growing strategic importance for both sensing and 6G communications. The core issues are atmospheric attenuation, component cost and power efficiency, spectrum coordination with radio astronomy and Earth-exploration satellite services, and export controls on high-frequency semiconductor technology. Key players - [United States](https://modeldiplomat.com/country/united-states) [Leads mmWave and THz device research through DARPA, NIST, and major foundries](https://modeldiplomat.com/country/united-states) - [Germany](https://modeldiplomat.com/country/germany) [Fraunhofer institutes and German automotive primes drive 77/79 GHz radar and THz imaging](https://modeldiplomat.com/country/germany) - [Japan](https://modeldiplomat.com/country/japan) [Strong THz electronics base at NICT, NTT, and Hiroshima University](https://modeldiplomat.com/country/japan) - [South Korea](https://modeldiplomat.com/country/south-korea) [Significant industrial investment in CMOS mmWave radar via Samsung and ETRI](https://modeldiplomat.com/country/south-korea) - [China](https://modeldiplomat.com/country/china) [Expanding mmWave automotive radar industry and THz research at Tianjin and CAEP](https://modeldiplomat.com/country/china) - [Netherlands](https://modeldiplomat.com/country/netherlands) [NXP and TU Delft are central to European automotive mmWave radar ICs](https://modeldiplomat.com/country/netherlands) 5 ### Advanced Radar Tracking, Localisation, and Sensor Data Fusion Modern target tracking traces its lineage to Rudolf Kálmán's 1960 filter and the subsequent development of nearest-neighbor, JPDA, and Multiple Hypothesis Tracking algorithms in the 1970s and 1980s, primarily for naval and air-defense applications. The advent of finite-set statistics and PHD/CPHD filters by Ronald Mahler in the 2000s, together with affordable distributed sensor networks, transformed radar tracking from a single-sensor problem into a multi-sensor, multi-target estimation discipline. Sensor data fusion now spans radar, EO/IR, AIS, ADS-B, and increasingly passive RF sources, supporting applications from ballistic missile defense to autonomous driving and air traffic management. NATO's STANAG 4607 GMTI format and ICAO surveillance standards reflect the operational importance of interoperable fused tracks. Recent advances combine model-based Bayesian filters with neural network front-ends for detection and classification, while quantum-inspired and graph-based association methods are under active research. Debates focus on track integrity in contested electromagnetic environments, the certification of AI-assisted tracking for civil aviation and autonomous vehicles, and the governance of cross-border fused surveillance data. Key players - [United States](https://modeldiplomat.com/country/united-states) [Sets much of the doctrine for multi-sensor fusion via DoD, FAA, and NASA programs](https://modeldiplomat.com/country/united-states) - [United Kingdom](https://modeldiplomat.com/country/united-kingdom) [Strong tracking research base at DSTL, QinetiQ, and several universities](https://modeldiplomat.com/country/united-kingdom) - [Australia](https://modeldiplomat.com/country/australia) [DSTG and University of Adelaide are world-leading in random finite set tracking](https://modeldiplomat.com/country/australia) - [Sweden](https://modeldiplomat.com/country/sweden) [Saab and Linköping/Chalmers Universities lead European multi-target tracking research](https://modeldiplomat.com/country/sweden) - [France](https://modeldiplomat.com/country/france) [ONERA and Thales drive operational fusion architectures for air and naval defense](https://modeldiplomat.com/country/france) - [Germany](https://modeldiplomat.com/country/germany) [Hensoldt, Airbus, and Fraunhofer develop fused surveillance for European air policing](https://modeldiplomat.com/country/germany) 6 ### Radar for Automotive, Maritime, and Industrial Applications Civil radar adoption accelerated with the opening of the 24 GHz and 77 GHz automotive bands in Europe in the early 2000s, followed by 79 GHz high-resolution allocations later that decade. Maritime navigation radar has been mandatory under SOLAS regulations since the mid-twentieth century, with X- and S-band magnetron systems gradually giving way to solid-state pulse-compression sets. Industrial radar — for tank level gauging, collision avoidance on cranes, and process control — emerged as a niche but commercially significant sector through the 1990s and 2000s. Automotive radar is now the largest commercial radar market, driven by ADAS regulations such as the EU General Safety Regulation and Euro NCAP requirements, and by the ongoing development of automated driving. Maritime radar is being reshaped by autonomous surface vessels and by integration with AIS and electronic chart systems, while industrial radar is expanding into Industry 4.0 use cases including human-presence detection, gesture recognition, and predictive maintenance. Key issues include mutual interference among the rapidly growing population of mmWave radars, harmonized global spectrum rules at WRC, cybersecurity of safety-critical sensors, and standards for radar performance testing under adverse weather. Key players - [Germany](https://modeldiplomat.com/country/germany) [Home to leading automotive radar suppliers Bosch, Continental, and Infineon](https://modeldiplomat.com/country/germany) - [United States](https://modeldiplomat.com/country/united-states) [Major automotive radar players (TI, Aptiv) and host to FCC spectrum decisions](https://modeldiplomat.com/country/united-states) - [Japan](https://modeldiplomat.com/country/japan) [Strong maritime and automotive radar industry via Furuno, Denso, and JRC](https://modeldiplomat.com/country/japan) - [Netherlands](https://modeldiplomat.com/country/netherlands) [NXP is a global leader in automotive radar semiconductors](https://modeldiplomat.com/country/netherlands) - [Israel](https://modeldiplomat.com/country/israel) [Innovation hub for imaging radar startups serving the automotive sector](https://modeldiplomat.com/country/israel) - [China](https://modeldiplomat.com/country/china) [Rapidly growing domestic automotive and maritime radar industry](https://modeldiplomat.com/country/china) 7 ### Clutter Modelling and Radar Signal Propagation Understanding clutter — unwanted echoes from terrain, sea, weather, and biological scatterers — has been central to radar engineering since wartime studies at the MIT Rad Lab produced the foundational Kerr volumes in the late 1940s. Sea clutter statistical models, from the log-normal and Weibull distributions of the 1970s to the compound K-distribution introduced by Ward in 1981, remain in active use, while land clutter modelling owes much to the comprehensive surveys conducted by J. Barrie Billingsley at MIT Lincoln Laboratory. Propagation modelling has progressed from ITU-R reference atmospheres to high-fidelity parabolic equation and ray-tracing tools that capture ducting, multipath, and tropospheric scintillation, with implications for over-the-horizon and low-elevation surveillance radars. Climate change, wind farms, urbanization, and the proliferation of small UAVs have introduced new clutter regimes that legacy models capture poorly, motivating large measurement campaigns and machine-learning-based clutter synthesis. The contemporary agenda includes high-resolution sea and land clutter characterization at grazing angles, wind-farm interference mitigation, anomalous propagation in changing climates, and shared community datasets to benchmark detection algorithms. Key players - [United States](https://modeldiplomat.com/country/united-states) [Hosts foundational clutter datasets and propagation tools at NRL and MIT Lincoln Laboratory](https://modeldiplomat.com/country/united-states) - [United Kingdom](https://modeldiplomat.com/country/united-kingdom) [DSTL, QinetiQ, and UCL maintain leading sea clutter measurement and modelling programs](https://modeldiplomat.com/country/united-kingdom) - [Australia](https://modeldiplomat.com/country/australia) [DSTG conducts extensive over-the-horizon radar and sea clutter research for JORN](https://modeldiplomat.com/country/australia) - [France](https://modeldiplomat.com/country/france) [ONERA leads European propagation modelling and clutter characterization](https://modeldiplomat.com/country/france) - [Italy](https://modeldiplomat.com/country/italy) [Strong academic tradition in K-distribution and compound-Gaussian clutter modelling](https://modeldiplomat.com/country/italy) - [China](https://modeldiplomat.com/country/china) [Major investment in OTH radar and large-scale clutter measurement campaigns](https://modeldiplomat.com/country/china) 8 ### Cognitive Radar and Compressive Sensing Techniques Cognitive radar was articulated as a unified concept by Simon Haykin in a landmark 2006 IEEE Signal Processing Magazine paper, drawing on Joseph Mitola's earlier ideas of cognitive radio and on perception-action cycles from neuroscience. The concept treats the radar as a closed-loop system that senses its environment, learns, and adapts waveform, beam, and processing in real time. In parallel, the compressive sensing framework formalized by Candès, Romberg, Tao, and Donoho in 2004-2006 offered a route to sub-Nyquist sampling of sparse scenes, with immediate appeal for radar imaging and wideband spectrum sensing. The two strands have converged in the 2010s and 2020s through fully adaptive radar, reinforcement-learning-based resource management, and sparse array and waveform design. DARPA programs such as Adaptive Radar Countermeasures and the EU's cognitive radar projects have moved laboratory ideas toward fielded systems, while commercial mmWave imaging radars increasingly exploit compressive techniques to reduce channel count. Key debates concern the verification and validation of self-adapting systems, robustness to adversarial machine learning, spectrum-sharing implications when radars autonomously change their emissions, and how cognitive features interact with existing electromagnetic compatibility regulations. Key players - [United States](https://modeldiplomat.com/country/united-states) [DARPA, ONR, and AFRL fund leading cognitive radar and compressive sensing programs](https://modeldiplomat.com/country/united-states) - [Canada](https://modeldiplomat.com/country/canada) [Home institution of Simon Haykin and a continuing center for cognitive radar theory](https://modeldiplomat.com/country/canada) - [United Kingdom](https://modeldiplomat.com/country/united-kingdom) [UDRC and DSTL drive UK research on cognitive and fully adaptive radar](https://modeldiplomat.com/country/united-kingdom) - [Germany](https://modeldiplomat.com/country/germany) [Fraunhofer FHR and TU Darmstadt advance cognitive resource management and sparse arrays](https://modeldiplomat.com/country/germany) - [Israel](https://modeldiplomat.com/country/israel) [Strong academic work at Technion on Xampling and sub-Nyquist radar](https://modeldiplomat.com/country/israel) - [Italy](https://modeldiplomat.com/country/italy) [Active research community in compressive radar imaging and waveform diversity](https://modeldiplomat.com/country/italy) ## Resources News, lessons, and country profiles to prep for International Radar Symposium 2027 (IRS 2027). Recent reporting to ground your prep [North Korea's Nuclear Navy Developments](https://modeldiplomat.com/story/north-koreas-nuclear-navy-developments) [India Naval Edge: Three Ships Commissioned](https://modeldiplomat.com/story/india-naval-edge-three-ships-commissioned) [Supreme Court Regulates AI in Indian Courts](https://modeldiplomat.com/story/supreme-court-moves-to-police-ai-in-indias-courts) [Janet Mills Vetoes Maine Data Center Moratoru](https://modeldiplomat.com/story/maines-janet-mills-vetoes-data-center-moratorium-shifts-power) Lessons Bite-sized lessons to build the basics [Hidden Stakeholders](https://modeldiplomat.com/learn/lessons/hidden-stakeholders) [Engagement Strategies](https://modeldiplomat.com/learn/lessons/engagement-strategies) [Dynamic Analysis](https://modeldiplomat.com/learn/lessons/dynamic-analysis) [Stakeholder Mapping Workshop](https://modeldiplomat.com/learn/lessons/stakeholder-workshop) Courses Guided courses that go deeper on the topic [Advanced Negotiation](https://modeldiplomat.com/learn/courses/advanced-negotiation) [Multilateral Negotiation](https://modeldiplomat.com/learn/courses/multilateral-negotiation) [Policy Brief Writing](https://modeldiplomat.com/learn/courses/policy-brief) [Conflict Resolution](https://modeldiplomat.com/learn/courses/conflict-resolution) The states in play, with the data that shapes their stance [Austria](https://modeldiplomat.com/country/austria) [Country dossier](https://modeldiplomat.com/country/austria) [United States](https://modeldiplomat.com/country/united-states) [Country dossier](https://modeldiplomat.com/country/united-states) [China](https://modeldiplomat.com/country/china) [Country dossier](https://modeldiplomat.com/country/china) [Germany](https://modeldiplomat.com/country/germany) [Country dossier](https://modeldiplomat.com/country/germany) [United Kingdom](https://modeldiplomat.com/country/united-kingdom) [Country dossier](https://modeldiplomat.com/country/united-kingdom) [South Korea](https://modeldiplomat.com/country/south-korea) [Country dossier](https://modeldiplomat.com/country/south-korea) [Italy](https://modeldiplomat.com/country/italy) [Country dossier](https://modeldiplomat.com/country/italy) [Canada](https://modeldiplomat.com/country/canada) [Country dossier](https://modeldiplomat.com/country/canada) [Japan](https://modeldiplomat.com/country/japan) [Country dossier](https://modeldiplomat.com/country/japan) [France](https://modeldiplomat.com/country/france) [Country dossier](https://modeldiplomat.com/country/france) [Israel](https://modeldiplomat.com/country/israel) [Country dossier](https://modeldiplomat.com/country/israel) [Netherlands](https://modeldiplomat.com/country/netherlands) [Country dossier](https://modeldiplomat.com/country/netherlands) [Australia](https://modeldiplomat.com/country/australia) [Country dossier](https://modeldiplomat.com/country/australia) [Sweden](https://modeldiplomat.com/country/sweden) [Country dossier](https://modeldiplomat.com/country/sweden) ## Frequently asked questions - - - Free account Save conferences, research any topic with AI, build position papers, and keep your daily prep streak — free. 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