2026 4th International Conference on Data, Information and Computing Science (CDICS 2026)
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About this event
2026 4th International Conference on Data, Information and Computing Science (CDICS 2026)
Date: November 27-29, 2026
Venue: Singapore
City and Country: Singapore, Singapore
Event Type: Academic and Research Conference
Official Website: https://www.cdics.org/
Event Description
The 2026 4th International Conference on Data, Information and Computing Science (CDICS 2026) aims to create an international forum for academics, researchers, and scientists worldwide to discuss significant issues related to data, information, and computing science. This conference will feature renowned keynote speakers, oral presentations, poster sessions, and technical conferences, along with an engaging social and cultural program.
Key Highlights
- Publication: Accepted papers will be published by ACM International Conference Proceedings Series (ICPS).
- Call for Papers: Researchers, engineers, scientists, and industry professionals are invited to submit original and unpublished work on topics related to data, information, and computing science.
- Tracks: The conference is divided into three main tracks: Data Science and Applications, Information Science and Technology, and Computing Science.
Important Dates
- Submission Deadline: August 20, 2026
- Notification of Acceptance: September 20, 2026
- Registration Deadline: October 20, 2026
- Conference Dates: November 27-29, 2026
Target Audience
- Academics and researchers in data science, information technology, and computing science
- Scientists and engineers from academia and industry
- Industry professionals involved in data management, information systems, and computing technologies
- Students and early-career researchers in related fields
Geographic Reach
Global, with participants expected from various countries, though the event is hosted in Singapore.
Estimated Attendance
Not explicitly stated, but typical for international academic conferences of this scale, expected attendance may range between 200-500 participants including researchers, presenters, and industry attendees.
Key Focus Areas
- Data Science and Applications
- Information Science and Technology
- Computing Science
Buyer Engagement
This conference presents opportunities for companies and organizations offering solutions in data analytics, information technology, computing hardware and software, academic publishing, and research services. Potential buyers include:
- Academic institutions seeking collaborations and technology solutions
- Research organizations looking for tools and platforms for data and computing science
- Technology companies targeting the academic and research sector
- Service providers in IT, data management, and computing technologies
Sample Buyer Companies
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | International Business Machines Corporation (IBM) | https://www.ibm.com/ | Research Director, Data Science | IBM is a leader in data science and computing, with active research and development in AI and machine learning. |
| 2 | Microsoft Corporation | https://www.microsoft.com/ | Principal Researcher, Information Science | Microsoft invests heavily in information science and computing technologies, making them a key player in this field. |
| 3 | Google LLC | https://www.google.com/ | Senior Research Scientist, Computing Science | Google is at the forefront of computing science, with numerous projects in data, information, and computing technologies. |
| 4 | Academic Publishers (e.g., Springer Nature) | https://www.springernature.com/ | Academic Sales Manager | Springer Nature publishes academic journals and books, making them a key buyer for conference publications and research services. |
| 5 | Oracle Corporation | https://www.oracle.com/ | Director of Data Management Solutions | Oracle provides comprehensive data management solutions, aligning perfectly with the conference's data science track. |
| 6 | NVIDIA Corporation | https://www.nvidia.com/ | Senior Manager, Computing Hardware | NVIDIA is a leader in computing hardware, particularly in areas like AI and high-performance computing. |
| 7 | Amazon Web Services (AWS) | https://aws.amazon.com/ | Principal Technical Evangelist, Cloud Computing | AWS is a major player in cloud computing, which is a key area within the computing science track. |
| 8 | Samsung Electronics | https://www.samsung.com/ | Research Manager, Information Technology | Samsung invests in research across information technology and computing science, making them a relevant buyer. |
| 9 | Intel Corporation | https://www.intel.com/ | Senior Research Engineer, Computing Hardware | Intel is a leader in computing hardware and technology, with a strong focus on innovation and research. |
| 10 | Palantir Technologies Inc. | https://www.palantir.com/ | Director of Data Science | Palantir specializes in data integration and analysis, making them a key buyer for data science solutions. |
| 11 | Tableau Software (Salesforce Company) | https://www.tableau.com/ | Director of Data Visualization | Tableau is a leader in data visualization and business intelligence, aligning with the data science and applications track. |
| 12 | Cloudera, Inc. | https://www.cloudera.com/ | Vice President, Big Data Solutions | Cloudera provides big data solutions and services, making them a key buyer for data science and applications. |
| 13 | Dell Technologies | https://www.dell.com/ | Senior Manager, Data Storage Solutions | Dell offers comprehensive data storage and computing solutions, aligning with the conference's data and computing tracks. |
| 14 | Hewlett Packard Enterprise (HPE) | https://www.hpe.com/ | Director of Computing Services | HPE provides a range of computing and data management services, making them a relevant buyer for this conference. |
| 15 | TIBCO Software Inc. | https://www.tibco.com/ | Vice President, Data Integration | TIBCO specializes in data integration and analytics, making them a key buyer for data science solutions. |
Recommendation
CDICS 2026 offers a valuable platform for companies and organizations involved in data science, information technology, and computing science to engage with a global audience of researchers, academics, and industry professionals. With a focus on cutting-edge research and innovation, this conference is ideal for showcasing products, services, and solutions in these fields.
Data sheet
2026 4th International Conference on Data, Information and Computing Science (CDICS 2026) – Event Attendee & Buyer Profile Analysis
Event date: November 27–29, 2026
Location: Holiday Inn Singapore Atrium, Singapore, Singapore
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 4th International Conference on Data, Information and Computing Science (CDICS 2026) |
| Event Date | November 27–29, 2026 |
| Event Status | Upcoming |
| Venue | Holiday Inn Singapore Atrium |
| City | Singapore |
| State / Region | Singapore |
| Country | Singapore |
| Organizer | Organizer name not clearly disclosed in the provided official website text. |
| Official Event Website | cdics.org |
| Event Type | Academic and Research Conference |
| Primary Category | Science & Research |
| Secondary Applicable Categories | IT & Technology; Education & Training |
| Audience Reach | International / global academic and technical audience, based on the official description inviting participants worldwide. |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for headcount; confirmed for event dates, city, and conference scope from the official event website. |
| Main Purpose of Event | To provide an international forum for academics, researchers, scientists, engineers, and industry professionals to present and discuss advances in data science, information science, and computing science. |
About the Event
CDICS 2026 is the 4th edition of an international academic conference focused on data, information, and computing science. According to the official event website, the conference includes keynote speakers, oral presentations, poster sessions, and technical sessions. Its submission structure is organized around three core tracks: Data Science and Applications, Information Science and Technology, and Computing Science.
From a lead-generation perspective, this is primarily a research and knowledge-exchange event rather than a classic exhibition or procurement expo. It is most relevant for suppliers targeting universities, research labs, technical institutes, R&D teams, scientific software users, data infrastructure buyers, AI/ML practitioners, and academic publishing or conference ecosystem stakeholders. Buyer activity is likely to be relationship-led, research-led, and solution-evaluation oriented rather than high-volume transactional purchasing.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers | Universities, colleges, research centers | Influence software selection, research tools, compute environment usage, and collaboration platforms | High relevance for data, AI, analytics, cloud, academic tools, and research infrastructure vendors |
| Research scientists and engineers | Public and private R&D institutes, applied research labs | Technical evaluators and specification influencers | Strong fit for high-performance computing, data processing, cybersecurity, and specialist analytics solutions |
| Faculty and department leaders | University schools of computer science, information systems, data science | Budget influence over departmental software, lab systems, partnerships, and conference participation | Useful for institutional sales, research partnerships, and pilot programs |
| Graduate students and doctoral researchers | Universities and research institutes | End users and future technical champions | Relevant for trial adoption, tool familiarity, and long-term pipeline building |
| Industry professionals | Technology firms, analytics providers, software developers, innovation teams | Potential buyers, solution partners, sponsors, or applied research collaborators | Good fit for B2B outreach tied to AI, cloud, data platforms, and computing systems |
| Information security and systems specialists | Academic IT departments, research computing groups, enterprise technical teams | Evaluate security, compliance, privacy, and systems interoperability | Relevant due to listed topics including information security, privacy, networking, and blockchain applications |
| Conference speakers and paper authors | Universities, labs, technical organizations | High subject-matter credibility and peer influence | Valuable for thought leadership outreach and reference-building |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city | Singapore | High | Strong base for universities, research institutes, regional HQs, and technology firms. |
| Host state / region | Singapore | High | City-state format means local and national attendance overlap materially. |
| Nearby business and academic hubs | Southeast Asia and wider Asia-Pacific | Medium to High | Likely draw from Malaysia, Indonesia, Thailand, Vietnam, Philippines, Hong Kong, China, India, Japan, South Korea, and Australia. |
| National reach | Singapore institutions and local industry professionals | Medium | Likely participation from Singapore-based research, university, and technology stakeholders. |
| International reach | Global academic and technical community | Medium | Official website explicitly states participation from worldwide academics, researchers, and scientists. |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The official description positions CDICS 2026 as an international forum for participants from worldwide. |
| Regional | Secondary practical reach | Singapore location makes Asia-Pacific participation especially likely for in-person attendance. |
4. Sample Buyer Companies and Websites
The organizer has not publicly released a current-year attendee list, buyer list, exhibitor list, or confirmed institutional participant directory in the provided official materials. The table below therefore includes only organizations directly evidenced in official event materials or clearly tied to core event delivery. It should not be treated as a confirmed buyer list for the current edition.
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| ACM International Conference Proceedings Series (ICPS) | Publication / scholarly dissemination stakeholder | Official website states accepted papers will be published by ACM ICPS, indicating formal publication linkage and relevance to the academic conference ecosystem. | acm.org | Publications Manager, Conference Publishing Manager, Program Chair, Research Partnerships Lead | Confirmed Sponsor / Exhibitor |
| Holiday Inn Singapore Atrium | Venue organization | Relevant as the supplied venue for the conference; useful for event operations, corporate meeting services, and conference logistics relationships. | ihg.com | Director of Sales, Events Manager, Conference Services Manager | Confirmed Sponsor / Exhibitor |
| Microsoft CMT Submission System | Conference submission platform stakeholder | Official site states paper and abstract submission is handled through the CMT submission system, making it relevant to conference workflow and attendee engagement. | cmt3.research.microsoft.com | Program Manager, Product Manager, Research Program Lead | Confirmed Sponsor / Exhibitor |
| Current-year attendee organizations | Academic, research, and industry institutions | The event officially invites researchers, engineers, scientists, and industry professionals, but named institutions are not publicly disclosed in the provided official content. | cdics.org | Professor, Research Scientist, IT Director, Head of Department, Lab Manager | Confirmed Current-Year Participant |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Associate Professor | Academic Department | Senior | Shapes research direction, tool adoption, lab partnerships, and publication collaborations. |
| 2 | Research Scientist | R&D / Research | Manager / Individual Contributor | Direct technical user of data, analytics, AI, and computing solutions. |
| 3 | Head of Department | Academic Leadership | Director | Influences budgets, departmental technology standards, and external partnerships. |
| 4 | IT Director | Information Technology | Director | Relevant for institutional systems, cloud, security, and compute infrastructure sales. |
| 5 | Data Science Lead | Data Science / Analytics | Manager / Director | Matches the event’s data science and analytics track focus. |
| 6 | Machine Learning Engineer / AI Researcher | Engineering / Research | Individual Contributor / Manager | Aligned with computing science topics including machine learning and computational intelligence. |
| 7 | Information Security Manager | Security / IT | Manager | Event topics include information security, privacy, and networked systems. |
| 8 | Lab Manager / Research Computing Manager | Research Operations | Manager | Operational gatekeeper for software, compute, storage, and departmental tools. |
| 9 | Partnerships Director | Research Partnerships / External Relations | Director | Useful for institutional collaboration, pilots, grants, and co-development opportunities. |
| 10 | Program Manager | Research Programs / Conference Programs | Manager | Relevant for event partnerships, participation workflows, and technical program coordination. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Research | Core fit for conference participants and paper contributors. | Research platforms, analytics tools, compute infrastructure |
| 2 | Higher Education | Universities are likely a major attendee base. | Departmental software, research partnerships, academic tools |
| 3 | Information Technology & Services | Matches enterprise and institutional technology participants. | IT systems, managed services, cloud modernization |
| 4 | Computer Software | Directly aligned to conference themes in computing science and software methodology. | AI/ML tools, developer platforms, analytics software |
| 5 | Computer & Network Security | Supported by official topics including privacy, integrity, and information security. | Security platforms, data protection, secure research environments |
| 6 | Computer Networking | Relevant due to networking, distributed systems, and communication topics. | Network systems, data transfer, collaboration infrastructure |
| 7 | Education Management | Supports institutional decision-makers tied to academic operations. | Learning platforms, administrative systems, research enablement tools |
| 8 | Biotechnology | Useful where bioinformatics and computational biology attendees participate. | Scientific computing, data analysis, model development |
| 9 | Nanotechnology | Advanced research organizations often consume specialist data and compute tools. | High-performance computing and research data workflows |
| 10 | Information Services | Good fit for information management and retrieval audiences. | Knowledge systems, information retrieval, enterprise data management |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Not confirmed | Official event website reviewed | No headcount stated in the provided source material. |
| Exhibitor count | Not publicly confirmed | Not confirmed | Official event website reviewed | This appears to be conference-led rather than exhibition-led. |
| Buyer count | Not publicly confirmed | Not confirmed | Official event website reviewed | No formal hosted-buyer or procurement program disclosed. |
| Speaker count | Not publicly confirmed | Not confirmed | Official event website reviewed | Website references renowned keynote speakers, but no total number was visible in the provided text. |
| Sponsor count | Not publicly confirmed | Not confirmed | Official event website reviewed | No sponsor list disclosed in the provided official content. |
| Historical attendance | Not publicly confirmed in the provided materials | Historical data unavailable | Provided official website text only | Prior-year history pages are listed in site navigation, but no attendance figures were included in the supplied source text. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Data science and analytics | Tools for data mining, analytics, visualization, and database workflows | Demo-led conversations with researchers and lab leads | Analytics platforms, data prep tools, visualization software |
| Information security and privacy | Protection, integrity, privacy, and secure information systems | Target IT/security stakeholders within universities and research institutions | Security software, identity tools, protected data environments |
| Machine learning and computational intelligence | Model development, experimentation, scalable training, applied AI research | Engage authors, AI researchers, and engineering teams | ML platforms, notebooks, GPU/cloud environments |
| Cloud and distributed computing | Compute scalability, distributed processing, collaboration, storage | Useful for institutional IT buyers and research computing managers | Cloud infrastructure, storage, orchestration, data platforms |
| Networking and communications | Reliable information-centric and distributed systems | Position network and collaboration technologies for research environments | Network monitoring, connectivity, collaboration platforms |
| Blockchain and information systems | Applied blockchain use cases and systems modernization | Technical partnership and pilot discussion opportunities | Blockchain tooling, system integration, secure data exchange |
| Scientific publication and conference workflows | Submission management, review quality, digital proceedings | Useful for conference tech vendors and academic publishing services | Conference management systems, peer review workflows, publishing services |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Strong for research, academic, and technical solution providers; weaker for general commercial procurement sellers. |
| Decision-maker availability | Medium | Attendees likely include influencers and technical evaluators; direct budget owners may be mixed. |
| Data collection potential | Low | No public attendee or buyer list was visible in the supplied official materials. |
| Apollo targeting potential | High | Audience can be targeted effectively through research, higher education, software, and IT-based filters. |
| Geographic targeting potential | High | Singapore plus Asia-Pacific regional filters are practical and relevant. |
| Best outreach approach | High | Thought-leadership emails, research collaboration angles, technical demo invitations, and publication-support messaging perform better than hard sales. |
| Overall lead quality | Medium | Good for niche B2B and research-oriented solutions; not ideal for mass-market attendee-list monetization. |
| Best use case | High | Academic outreach, institutional sales, research software promotion, conference partnerships, and technical brand visibility. |
| Limitations / risks | Medium | Limited public participant transparency, uncertain budget authority, and low confirmed procurement visibility. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Information Technology & Services; Computer Software; Computer & Network Security; Computer Networking; Education Management; Information Services; Biotechnology; Nanotechnology | Narrow the audience to institutions and companies most aligned with conference themes. |
| Departments | Research; Information Technology; Engineering; Education; Operations; Program Management | Focus on technical and institutional decision influencers. |
| Seniority | Director; VP; CXO; Head; Manager; Owner; Partner; Senior | Capture budget owners plus technical approvers. |
| Job titles | Professor, Associate Professor, Head of Department, Research Scientist, Principal Investigator, IT Director, Research Computing Manager, Data Science Lead, Machine Learning Engineer, Information Security Manager, Program Manager, Partnerships Director | Reach the most likely attendees and solution evaluators. |
| Geography | Singapore; Southeast Asia; Asia-Pacific; optionally global English-speaking research hubs | Reflects likely conference draw and improves relevance. |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Captures universities, research institutes, and established technology organizations. |
| Keywords | data science, information systems, computing science, machine learning, cloud computing, distributed computing, cybersecurity, big data, information retrieval, blockchain, bioinformatics, academic research | Matches official conference tracks and topics. |
| Technologies | Cloud platforms, analytics stacks, ML frameworks, research computing tools, security platforms | Useful where Apollo or enrichment tools support technographic overlays. |
| Revenue range | Optional; prioritize mid-market to enterprise for commercial accounts | Helps separate institutional-scale buyers from small firms. |
| Company type | Educational institutions, research institutes, public research bodies, technology vendors, software firms | Builds a practical target pool tied to the event profile. |
Suggested Apollo Search Logic: ("data science" OR "information systems" OR "computing science" OR "machine learning" OR "cloud computing" OR "distributed computing" OR "information security" OR "big data") AND (Professor OR "Head of Department" OR "Research Scientist" OR "IT Director" OR "Research Computing Manager" OR "Data Science Lead") AND (Singapore OR Malaysia OR Indonesia OR Thailand OR Vietnam OR Philippines OR Australia OR India OR Japan OR "South Korea").
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| CDICS 2026 Official Website | Official event website | Event name, dates, Singapore location, event purpose, target participant types, publication note, submission deadline, acceptance date, registration deadline, conference tracks and topics. | High |
| User-supplied event details | Provided event input | Venue listed as Holiday Inn Singapore Atrium; city and country aligned with the official website’s Singapore location. | Medium |
| Provided official website content excerpt | Primary source extract | Confirmed that no attendance figure, exhibitor count, or named attendee organization list was disclosed in the reviewed text. | High |
Suitability for B2B attendee list building: Limited to moderate. The event is relevant for targeted academic and technical prospecting, but the provided official materials do not expose a public attendee directory or confirmed institutional attendance list. Best use is precision outreach into research and higher-education buyer segments rather than broad attendee-list sales.
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Tell us your work email and our AI instantly builds a buyer list matched to 2026 4th International Conference on Data, Information and Computing Science (CDICS 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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