What is the primary focus of the ICCSPS event?

The ICCSPS focuses on advancements in computer science, programming, and security, providing a platform for discussing interdisciplinary approaches to digital challenges.

What kind of format will the conference follow?

The conference is described as an academic event, suggesting a format that includes presentations, discussions, and potentially workshops or paper sessions.

International Conference on Computer Science, Programming and Security (ICCSPS) – June 22, 2026

Name: International Conference on Computer Science, Programming and Security (ICCSPS) – June 22, 2026
Start: 2026-06-22T00:00:00Z
End: 2026-06-22T00:00:00Z
Location: Paris

Jun 22, 2026Paris, FranceIn-person

Registration open

The International Conference on Computer Science, Programming and Security (ICCSPS) is an academic event held in Paris, France. This conference serves as a platform for researchers, academics, and industry professionals to present and discuss advancements in the fields of computer science, programming, and security. Its focus on interdisciplinary approaches highlights the evolving challenges and solutions at the intersection of these critical domains. Participants will engage with cutting-edge research, fostering collaboration and knowledge exchange. The event is designed to facilitate discussions that can lead to the development of innovative technologies and strategies to address contemporary issues in digital security and computing.

Committees & topics

Topics
The Evolution and Global Governance of Computer Science · Computer Systems and the Geopolitics of Computing Infrastructure · Complex Systems: Modeling Interdependence in a Connected World · Design and Analysis of Algorithms · Logic and Proof in Computing · Models of Computation · Intelligent Systems and the Governance of Artificial Intelligence · Computer Security and the Governance of Cyberspace

Why it matters

In an increasingly interconnected world, the integrity and security of digital systems are paramount. The ICCSPS addresses this by bringing together experts to explore new frontiers in computer science and programming, with a strong emphasis on security. This convergence is vital as cyber threats become more sophisticated, requiring robust and adaptive solutions.

The discussions and research presented at ICCSPS will contribute to the development of more secure systems and practices, impacting various sectors from critical infrastructure to personal data protection. The insights shared at this conference can inform policy-making and industry standards, ultimately enhancing global digital resilience. By fostering a collaborative environment, the conference helps bridge the gap between theoretical research and practical application, accelerating the deployment of secure technologies.

How to prepare

For those preparing to engage with the themes of the ICCSPS, a deep understanding of the interplay between computer science, programming, and security is essential. Consider how advancements in one area might create vulnerabilities or opportunities in another. For instance, new programming paradigms might offer enhanced security features but also introduce novel attack vectors.

Delegates should also consider the broader geopolitical implications of cybersecurity. Nations like USA, CHN, and RUS are at the forefront of cyber capabilities, and their actions significantly influence the global security landscape. Understanding these dynamics, perhaps through lessons like "Understanding Motivations" and "Mapping Relationships," can provide valuable context for the technical discussions. Furthermore, exploring the perspectives of countries like DEU, GBR, and JPN, which are major players in technological innovation and cybersecurity policy, can enrich one's understanding of international approaches to digital security. Effective engagement will require not only technical expertise but also an awareness of the diverse stakeholders and their interests, as outlined in "What Is Stakeholder Mapping?" and "Hidden Stakeholders."

Country perspectives

Where the most-relevant 4 countries stand on the core issues in play. Click through for the full country profile.

France

Host nation with a strong interest in European cybersecurity initiatives and digital sovereignty.

Role in topic

As the host country, FRA plays a significant role in facilitating international collaboration on computer science and security. Its national cybersecurity agency, ANSSI, is a key player in developing and enforcing cybersecurity standards, and the nation actively participates in EU-level discussions on digital policy and defense. The presence of the conference in Paris underscores FRA's commitment to advancing research and fostering dialogue in these critical areas.

United States

Leading innovator in computer science and cybersecurity, with significant government and private sector investment.

Role in topic

USA is a global leader in computer science research, software development, and cybersecurity innovation. Its private sector drives much of the technological advancement, while government agencies like the NSA and CISA are deeply involved in national security and critical infrastructure protection. The country's influence on global digital standards and its role in addressing international cyber threats make its perspective crucial in discussions at events like ICCSPS.

China

Major global player in technology development, with a state-centric approach to cybersecurity and data governance.

Role in topic

CHN has rapidly advanced its capabilities in computer science and cybersecurity, with significant state-backed investment in AI, quantum computing, and network security. Its approach to internet governance and data security, often characterized by strict controls and surveillance, presents a distinct model compared to Western nations. Understanding CHN's technological trajectory and its implications for global security is vital for participants.

United Kingdom

Key contributor to cybersecurity research and policy, with a focus on national security and international cooperation.

Role in topic

GBR has a well-established cybersecurity ecosystem, with significant contributions to research and development through institutions like GCHQ and academic centers. The country is actively involved in international efforts to combat cybercrime and enhance digital resilience, often collaborating with allies on intelligence sharing and threat mitigation. Its perspective on balancing national security with privacy concerns is particularly relevant.

Topics & background

The background behind each topic and the actors that shape it.

The Evolution and Global Governance of Computer Science

Computer science emerged as a formal academic discipline in the mid-20th century, building on the theoretical foundations laid by Alan Turing, Alonzo Church, John von Neumann, and Claude Shannon. The first dedicated computer science departments were established in the 1960s in the United States and the United Kingdom, and the field rapidly expanded as transistor-based computing, high-level programming languages, and networked systems matured. By the 1990s, computer science had become a strategic national priority in most industrialized states, underpinning economic competitiveness, scientific research, and defense capabilities. Today computer science sits at the intersection of education policy, industrial strategy, and geopolitical competition. Debates focus on workforce pipelines, equitable access to computing education, open versus proprietary research norms, and the export control of frontier knowledge—particularly in areas such as artificial intelligence, quantum computing, and semiconductor design. International collaboration through bodies such as the ACM, IEEE, and IFIP coexists with growing national restrictions on the cross-border flow of researchers and code. The core dispute facing the international community is how to sustain computer science as an open scientific endeavor while states increasingly treat it as a sovereign strategic asset. Tensions over research security, talent migration, and dual-use computing technologies have made the governance of the discipline itself a matter of foreign policy.

Key players

Computer Systems and the Geopolitics of Computing Infrastructure

The modern computer system—integrating processors, memory, storage, operating systems, and networking—evolved from the mainframe era of the 1950s and 1960s through the personal computing revolution of the 1980s and the rise of cloud and mobile architectures after 2007. Standardization around x86, ARM, and increasingly RISC-V instruction set architectures, along with operating system ecosystems such as Linux, Windows, Android, and iOS, has shaped a globally interdependent computing stack. In recent years, computer systems have become a focal point of strategic competition. The U.S. CHIPS and Science Act (2022), the EU Chips Act (2023), and corresponding industrial policies in East Asia have all sought to localize parts of the semiconductor and systems supply chain. Export controls on advanced chips, lithography equipment, and server-class GPUs—most notably U.S. restrictions targeting China since October 2022—have reshaped how computer systems are designed, sold, and deployed worldwide. The issue today is whether the global computer systems stack will fragment along geopolitical lines or remain interoperable. Disputes center on supply chain resilience, open hardware standards, energy consumption of data centers, and the security of firmware and hardware components that underpin nearly every critical service.

Key players

Complex Systems: Modeling Interdependence in a Connected World

Complex systems science emerged from cybernetics, systems theory, and nonlinear dynamics in the mid-20th century, formalized through institutions such as the Santa Fe Institute (founded 1984). The field studies how networks of interacting components—biological, social, ecological, technological—produce emergent behavior that cannot be predicted from individual parts. Climate models, epidemiological networks, financial systems, and power grids are all canonical examples. The 2008 financial crisis, the COVID-19 pandemic, and cascading failures in supply chains and energy markets have elevated complex systems thinking from an academic specialty to a tool of policymaking. Governments and international organizations now rely on agent-based models, network analysis, and scenario simulation to assess systemic risk. The IPCC's coupled climate models and WHO's pandemic preparedness frameworks both draw heavily on complex systems methods. The central debate is how to govern systems that no single state controls. Questions of model transparency, data sharing across borders, and the use of simulation results in binding policy decisions remain unresolved, especially as artificial intelligence introduces new layers of opacity into already complex computational models.

Key players

Design and Analysis of Algorithms

The systematic design and analysis of algorithms traces back to Donald Knuth's foundational work in the 1960s and 1970s, building on earlier results by Turing, Dijkstra, and Hoare. The development of complexity theory in the 1970s—particularly the formulation of P, NP, and the Cook-Levin theorem—established a rigorous framework for assessing what problems computers can solve efficiently. Subsequent decades produced landmark algorithms in cryptography (RSA, 1977), search and ranking (PageRank, 1998), and machine learning. Algorithms have moved from a technical concern to a matter of public policy. The EU's Digital Services Act and AI Act, the U.S. NIST AI Risk Management Framework, and various national algorithmic accountability proposals reflect growing concern over how algorithms shape information access, credit, employment, and criminal justice. Meanwhile, post-quantum cryptography standardization by NIST (finalized in 2024) reflects how algorithm choices have direct national security implications. The contemporary dispute centers on transparency, auditability, and intellectual property. States disagree on whether algorithm designs deployed in consequential decisions should be disclosed, how to certify their fairness and robustness, and how to coordinate international standards without stifling innovation.

Key players

Logic and Proof in Computing

Mathematical logic underpins computer science from its origins. Gödel's incompleteness theorems (1931), Church's lambda calculus (1936), and Turing's work on computability established the limits of what can be formally proved or computed. From the 1960s onward, programming language semantics, type theory (Per Martin-Löf), and proof assistants such as Automath, Coq, Lean, and Isabelle have allowed mathematicians and engineers to construct machine-checked proofs of both theorems and software correctness. Formal methods have moved from academic curiosity to industrial practice in safety-critical domains. Airbus flight control software, the seL4 microkernel, and verified cryptographic libraries used in TLS implementations all rely on formal proofs. Major mathematical results, including parts of the Liquid Tensor Experiment and the Four Color Theorem, have been formalized in proof assistants. Governments are increasingly interested in formal verification as a basis for cybersecurity certification. The issue facing the international community is how to scale formal methods to AI systems, where traditional proof techniques struggle with statistical learning. Debates include whether regulators should require formal guarantees for critical software, how to share verified components across jurisdictions, and how proof assistants themselves should be certified.

Key players

Models of Computation

Models of computation define what it means for a process to be computable and how efficiently. The Turing machine (1936), lambda calculus, and recursive functions established classical computability; later, finite automata, Petri nets, and process calculi extended the framework to concurrency and reactive systems. The Church-Turing thesis remains the conceptual anchor, while complexity-theoretic models such as Boolean circuits, PRAMs, and interactive proof systems refine our understanding of computational resources. Recent decades have introduced fundamentally new models. Quantum computation, formalized by Deutsch (1985) and operationalized by Shor's algorithm (1994), challenges classical complexity assumptions. Neuromorphic computing, DNA computing, and probabilistic models inspired by machine learning further diversify the landscape. National investments in quantum—through the U.S. National Quantum Initiative, the EU Quantum Flagship, and China's substantial quantum program—have made models of computation a strategic concern. The core international issue is how new computational models will reshape cryptography, scientific computing, and the balance of technological power. Coordination on benchmarks, openness of quantum research, and the timeline for migration to post-quantum cryptography are all active areas of dispute.

Key players

Intelligent Systems and the Governance of Artificial Intelligence

Intelligent systems research traces from the 1956 Dartmouth workshop, through symbolic AI and expert systems, the 1980s-90s 'AI winters', and the deep learning breakthroughs that began with AlexNet (2012). The release of large language models such as GPT-3 (2020), ChatGPT (2022), and successive frontier systems triggered a global policy debate on the safety, deployment, and concentration of AI capabilities. Robotics, autonomous vehicles, and recommendation systems have likewise raised distinct governance questions. A wave of international action followed. The EU AI Act entered into force in 2024 as the first comprehensive AI regulation; the Bletchley (2023), Seoul (2024), and subsequent AI Safety Summits convened states and labs around frontier risk; UNESCO adopted its Recommendation on the Ethics of AI (2021); and the OECD AI Principles remain a baseline reference. Bilateral and multilateral export controls increasingly cover advanced AI chips and model weights. The central dispute is how to balance innovation, safety, and sovereignty. States differ on whether to pursue binding international rules on frontier models, how to handle open-source AI, how to address bias and labor impacts, and how to prevent destabilizing uses in defense, disinformation, and surveillance.

Key players

Computer Security and the Governance of Cyberspace

Computer security as a discipline emerged from early multi-user operating systems in the 1960s and the seminal Anderson (1972) and Saltzer-Schroeder (1975) reports. The Morris Worm (1988) demonstrated the systemic fragility of networked systems, and successive incidents—Stuxnet (2010), Snowden disclosures (2013), NotPetya (2017), SolarWinds (2020), and Colonial Pipeline (2021)—established cyber operations as a permanent feature of international security. Ransomware against hospitals, pipelines, and municipalities has further blurred the line between criminal and state activity. Multilateral governance has advanced incrementally. UN GGE reports (2013, 2015, 2021) and the Open-Ended Working Group on ICTs have produced non-binding norms for responsible state behavior in cyberspace, while the UN Convention against Cybercrime was adopted by the General Assembly in 2024. Regional frameworks such as the Budapest Convention, the EU's NIS2 Directive, and CISA's role in U.S. critical infrastructure protection complement these efforts. Disagreements persist over sovereignty, attribution, encryption, and offensive cyber capabilities. The enduring dispute concerns how to make existing international law operational in cyberspace, how to protect critical infrastructure from state and non-state attackers, and how to balance security with privacy and human rights, particularly as AI accelerates both offensive and defensive capabilities.

Key players