2026 9th International Conference on Mathematics and Statistics (ICoMS 2026)
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About this event
2026 9th International Conference on Mathematics and Statistics (ICoMS 2026)
Event Overview
The 2026 9th International Conference on Mathematics and Statistics (ICoMS 2026) will be held in Paris, France from September 11–13, 2026. This annual conference brings together leading researchers and practitioners in mathematics, statistics, and computer science to advance the state of the art in these fields. The theme, “Mathematics & Statistics: The Computational Heart of Artificial Intelligence—from Data to Decisions—Bridging Theory and Algorithms in the Era of Intelligent Systems”, emphasizes cross-disciplinary innovation and applications.
Conference Program
- Conference Presentation: September 11–12, 2026
- Social Program: September 13, 2026
The program includes keynote speeches, invited presentations, and parallel paper sessions. Attendees will have opportunities to engage with researchers, educators, and industry professionals through technical discussions, networking events, and collaborative workshops.
Key Themes
Focus areas include:
- Computational mathematics and AI integration
- Statistical methods for data-driven decision-making
- Algorithmic advancements in machine learning
- Applications in interdisciplinary research
- Theory-to-practice transitions in intelligent systems
Important Dates
- Submission Deadline: June 30, 2026
- Notification Date: July 15, 2026
- Registration Deadline: July 30, 2026
Publication Opportunities
Accepted papers meeting quality standards will be published in Springer Proceedings in Mathematics & Statistics and indexed by EI Compendex and Scopus. Select papers may be invited for a special issue in Computational Mathematics and Applied Statistics (Impact Factor: 2.1, CiteScore: 0.5). Abstract-only submissions are also accepted for presentation purposes.
Contact & Registration
For inquiries, contact the official email: icoms@cbees.net
Delegate Registration: Participants not submitting papers may register online and pay before the deadline. Confirmation will follow after review.
Venue
The conference will take place in Paris, France. Specific venue details will be provided on the official website: https://www.icoms.org/.
Data sheet
2026 9th International Conference on Mathematics and Statistics (ICoMS 2026) – Event Attendee & Buyer Profile Analysis
Event date: September 11–13, 2026
Location: Paris, France
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 9th International Conference on Mathematics and Statistics (ICoMS 2026) |
| Event Date | September 11–13, 2026 |
| Event Status | Upcoming |
| Venue | Venue not publicly confirmed in the provided official website text. |
| City | Paris |
| State / Region | Île-de-France |
| Country | France |
| Organizer | Organizer name not explicitly stated in the provided official website text. Conference contact domain indicates coordination via CBEES email infrastructure. |
| Official Event Website | icoms.org |
| Event Type | International academic conference / research meeting |
| Primary Category | Science & Research |
| Secondary Applicable Categories | Education & Training; IT & Technology |
| Audience Reach | International / global research audience |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for volume metrics; official website confirms event dates, location city, conference theme, program structure, and publication pathway, but not attendee counts. |
| Main Purpose of Event | To convene researchers and practitioners in mathematics and statistics for paper presentations, knowledge exchange, collaboration, and discussion of cross-disciplinary applications involving computer science and artificial intelligence. |
About the Event
ICoMS 2026 is an international research conference focused on mathematics, statistics, and related computational disciplines. According to the official event website, the 9th edition will take place in Paris, France on September 11–13, 2026, with presentation sessions on September 11–12 and a social program on September 13. The conference theme emphasizes the role of mathematics and statistics in artificial intelligence, data-driven decisions, and theory-to-algorithm translation.
From a market and attendee-profiling perspective, this event is more relevant for academic engagement, research collaboration, paper submissions, journal/proceedings publishing, and university-industry networking than for large-scale commercial procurement. Typical participants are likely to include university faculty, researchers, statisticians, applied mathematicians, doctoral candidates, data science academics, and selected industry practitioners working in quantitative, analytical, or AI-related fields.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University researchers and faculty | Universities, research institutes, academic departments | Influence software selection, research tools, datasets, publication partnerships, and academic collaborations | High relevance for research software, analytics tools, scholarly publishing, and training providers |
| PhD students and postdoctoral researchers | Universities and laboratories | End users and technical evaluators rather than budget owners | Relevant for tool adoption, brand awareness, and future pipeline building |
| Applied statisticians and quantitative practitioners | Research organizations, analytics teams, applied science groups | May influence adoption of statistical platforms, modeling tools, and consulting support | Useful for specialized B2B outreach in analytics, optimization, and modeling services |
| Computer science and AI researchers | Academic labs, AI centers, interdisciplinary institutes | Technical influencers for compute, algorithms, research platforms, and collaboration tools | Relevant for AI tooling vendors, data infrastructure providers, and research compute suppliers |
| Journal, proceedings, and academic publishing stakeholders | Publishers, editorial boards, scholarly communications groups | Partnership and publication influence | Relevant for publishing partnerships and indexing-related service providers |
| Academic administrators and conference delegates | Universities, associations, academic event coordinators | May manage travel, sponsorship, departmental budgets, or partnership approvals | Moderate relevance for event services, publishing, and institutional subscriptions |
| Industry R&D and data science professionals | Selected private-sector R&D, analytics, or AI organizations | Potential technical evaluators and collaboration partners | Relevant mainly for advanced analytics, algorithm development, and research partnerships |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Paris | Local academic and research participants | Moderate | Strong base for universities, research institutions, and international travel access |
| Île-de-France | Regional faculty, postgraduate researchers, and applied science professionals | Moderate | Likely catchment for French research and higher-education networks |
| France | National participation from universities and institutes | High | National reach is likely due to domestic conference accessibility and academic relevance |
| Europe | Researchers and practitioners from nearby European countries | High | Likely due to Paris as an accessible conference destination and the conference's international framing |
| Asia-Pacific, North America, Middle East, Africa | International authors, presenters, and delegates | Selective | Global participation is likely, but no country-level attendee breakdown is publicly confirmed |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The organizer explicitly positions ICoMS 2026 as a meeting for worldwide leading researchers and practitioners, indicating international reach. |
| European / National secondary reach | Strong secondary concentration | Paris is likely to drive meaningful French and wider European participation even if the event is globally marketed. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| No official current-year attendee, delegate, speaker-organization, sponsor, exhibitor, or buyer list was publicly identified in the provided official website text. | Not publicly disclosed | This limits confirmed buyer-side company targeting from event-specific evidence. Outreach should focus on role-based academic and research prospects rather than claimed event attendees. | icoms.org | Professor, Research Director, Department Chair, Head of Statistics, Head of Mathematics, AI Research Lead | Confirmed limitation from official website review |
Because the organizer has not publicly disclosed a current-year participant directory in the provided source material, this event is not ideal for confirmed attendee-list building. It is better suited for role-based prospecting into academic, research, and quantitative analytics audiences.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Faculty Researcher | Research / Academic Department | Senior / Director Equivalent | Core conference participant group and strong influencer for research tools, collaborations, and publication decisions |
| 2 | Head of Department | Academic Leadership | Director / VP | Can influence budgets, partnerships, subscriptions, and departmental software choices |
| 3 | Research Director | Research | Director | High-value contact for institutional partnerships and applied research initiatives |
| 4 | Statistician / Senior Statistician | Analytics / Research | Manager / Senior Individual Contributor | Relevant for statistical software, modeling workflows, and data methodology tools |
| 5 | Data Science Lead | Data Science / AI | Manager / Director | Fits the conference AI and computational theme |
| 6 | AI Research Lead | Research / AI Lab | Manager / Director | Important for algorithmic and interdisciplinary research collaborations |
| 7 | Dean / Academic Program Leader | Academic Administration | VP / Executive | Relevant for institutional buying authority and strategic partnerships |
| 8 | Library / Scholarly Communications Manager | Library / Information Services | Manager | Potential buyer for publications, databases, and academic content services |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Direct fit for research institutes and scientific organizations | Research tools, collaboration platforms, analytics software |
| 2 | Higher Education | Most likely attendee base from universities and academic departments | Departmental software, academic services, conference outreach |
| 3 | Education Management | Useful for institutions managing academic programs and budgets | Program partnerships, subscriptions, training tools |
| 4 | Information Technology & Services | Fits conference intersections with computing and AI implementation | Technical buyers for analytics and research infrastructure |
| 5 | Computer Software | Relevant for statistical computing, AI, and modeling tools | Software vendor and buyer matching |
| 6 | Biotechnology | Heavy user of statistical methods and mathematical modeling | Applied analytics and scientific software prospecting |
| 7 | Pharmaceuticals | Statistics and modeling are central in R&D and trials | Quantitative modeling, analytics, and research workflow tools |
| 8 | Medical Devices | Advanced statistical analysis is relevant to product validation and research | Applied data science and research-grade analytics tools |
| 9 | Market Research | Statistics-heavy functions align with conference topics | Statistical and modeling solution outreach |
| 10 | Government Administration | Public research and statistical agencies may be relevant in niche targeting | Research collaboration and public-sector analytics outreach |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | Official website review | No numeric attendance claim identified in the provided source text |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Official website review | This appears to be a conference, not a traditional expo floor event |
| Buyer count | Not publicly confirmed | Unconfirmed | Official website review | No buyer-program or hosted-buyer evidence found |
| Speaker count | Not publicly confirmed in the provided text | Unconfirmed | Official website review | Keynote and invited speakers are referenced, but no total count was provided |
| Sponsor count | Not publicly confirmed in the provided text | Unconfirmed | Official website review | Sponsored By / Supported By sections are referenced, but names are not visible in the provided source text |
| Historical attendance | No verified prior-year attendance figure identified from the provided source material | Historical data unavailable | Official website text only | Further verification would require prior-year official conference records |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Mathematics research | Research collaboration, scholarly exchange, publication visibility | Faculty outreach and research partnership development | Research platforms, publishing services, conference support tools |
| Statistical methods | Modeling accuracy, reproducibility, and data analysis capability | Demonstrations of statistical software and workflow improvement | Statistical computing tools, data platforms, consulting services |
| Artificial intelligence | Theory-to-application integration and algorithm development | Target AI researchers and interdisciplinary labs | AI infrastructure, compute tooling, model-development environments |
| Data-driven decision-making | Better analytical interpretation and evidence-based research outcomes | Position solutions that improve analysis workflows and insight delivery | Visualization, analytics, data management, decision-support tools |
| Cross-disciplinary innovation | Collaboration across mathematics, statistics, and computer science | Partnership-oriented outreach to labs, institutes, and departments | Collaborative research services, platform integration, academic partnerships |
| Academic publishing and indexing | Proceedings publication, journal placement, citation visibility | Engage publication-focused attendees and administrators | Publishing support, editorial workflows, indexing-related services |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Strong for academic and research-oriented offerings; weaker for mainstream commercial procurement |
| Decision-maker availability | Medium | Professors, department heads, and research leads are likely present, but formal procurement officers are not a core audience |
| Data collection potential | Low | No public attendee list, buyer directory, or sponsor directory was verified from the provided source |
| Apollo targeting potential | High | Role-based targeting into Higher Education, Research, and analytics-intensive sectors is feasible even without event-specific attendee confirmation |
| Geographic targeting potential | High | Paris, France, and Europe-centered academic targeting is straightforward |
| Best outreach approach | High-fit niche outreach | Use subject-matter relevance, publication support, analytics value, or research collaboration messaging rather than generic sales outreach |
| Overall lead quality | Medium | Good for specialized academic, research, AI, and analytics solutions; not ideal for high-volume attendee-list sales or broad procurement targeting |
| Best use case | Targeted B2B and institutional outreach | Best suited for research software, statistical tools, publishing, compute infrastructure, and academic partnerships |
| Limitations / risks | High | Lack of verified attendee organizations and lack of confirmed buyer counts reduce list certainty |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Education Management; Information Technology & Services; Computer Software; Biotechnology; Pharmaceuticals; Medical Devices; Market Research; Government Administration | Build a research and quantitative-methods aligned target universe |
| Departments | Research; Education; Engineering; Information Technology; Data / Analytics | Focus on technical and institutional stakeholders most aligned with conference themes |
| Seniority | Director; VP; CXO; Head; Manager; Partner; Owner; Senior | Prioritize budget holders and senior influencers |
| Job titles | Professor, Research Director, Head of Department, Dean, Statistician, Senior Statistician, Data Science Lead, AI Research Lead, Computational Scientist, Director of Research, Library Manager, Scholarly Communications Manager | Reach the most relevant attendee-like personas |
| Geography | France; Paris; Île-de-France; broader Europe; selected global research hubs | Mirror likely attendee origin and event travel patterns |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Capture universities, institutes, publishers, and technical organizations with formal budgets |
| Keywords | mathematics, statistics, applied statistics, computational mathematics, machine learning, artificial intelligence, data science, quantitative research, modeling, operations research | Improve relevance for theme-aligned contacts and institutions |
| Technologies, if relevant | Analytics platforms, statistical software, AI/ML stack, research computing infrastructure | Useful when targeting organizations with known computational maturity |
| Revenue range, if relevant | Mid-market to enterprise; institutional budgets where available | Prioritize organizations with capacity for software, research, or service spend |
| Company type | University, research institute, publisher, applied R&D organization, public research body | Narrow the list to likely attendee-equivalent entities |
Suggested Apollo Search Logic: Use combinations such as: ("mathematics" OR "statistics" OR "data science" OR "computational mathematics" OR "machine learning" OR "AI research") AND (Professor OR "Research Director" OR "Head of Department" OR Statistician OR "Data Science Lead") within France, Paris, Île-de-France, and key European research markets. For broader commercialization, layer in industries such as Biotechnology, Pharmaceuticals, Medical Devices, and Market Research.
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICoMS 2026 Official Website | Official event website | Confirmed event name, city, country, official dates, conference presentation dates, social program date, conference theme, important dates, publication notes, delegate mention, and official contact email | High |
| Official website text review | Primary-source content audit | Verified that no venue name, public phone number, attendance figure, attendee directory, exhibitor count, sponsor names, or buyer list were visible in the provided source text | High for negative confirmation |
| Date discrepancy note | Verification note | User-provided known dates listed June 19–21, 2026, but the official website clearly states September 11–13, 2026. This report follows the official website as the primary source of truth. | High |
| Official contact information note | Verification note | Official email identified as icoms@cbees.net. Official phone number was not publicly listed in the provided website text. | High |
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Tell us your work email and our AI instantly builds a buyer list matched to 2026 9th International Conference on Mathematics and Statistics (ICoMS 2026) — the best‑fit companies to target, the exact decision‑maker job titles, and the industry filters that fit what you sell.
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