2026 International Conference on Data Science and Social Computing（DSSC 2026）
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About this event
2026 International Conference on Data Science and Social Computing (DSSC 2026)
The 2026 International Conference on Data Science and Social Computing (DSSC 2026) will take place from September 18 to 20, 2026, in Wuhan, Hubei Province, China. This premier academic event serves as a global platform for professors, researchers, scholars, and industrial pioneers to converge, share insights, and explore advancements in data science and social computing.
Event Overview
DSSC 2026 is dedicated to fostering the exchange of ideas, experiences, and research findings between educators and researchers worldwide. The conference encourages contributions that promote rational discourse and collaboration across theoretical and industrial domains. By bringing together a diverse community of experts, DSSC 2026 aims to accelerate innovation and address challenges in the ever-evolving fields of data science and social computing.
Key Details
- Dates: September 18–20, 2026
- Venue: Wuhan, Hubei Province, China
- Submission Deadline: July 18, 2026 (Full Paper)
- Notification of Acceptance: August 22, 2026
- Final Paper Submission: September 5, 2026
Scope and Topics
The conference invites submissions across a broad spectrum of topics, including but not limited to:
- Data Science Foundations
- Social Computing Theory and Methods
- Digital Society
- Cross-Integration Technologies and Systems
- Intelligent Transportation and Urban Management
- Application Practices
Publication and Indexing
All accepted papers will undergo a rigorous review process by expert committees. Upon acceptance, papers will be published in the ACM International Conference Proceedings Series and submitted for indexing in EI Compendex and Scopus, ensuring global visibility and academic recognition.
Contact Information
For inquiries, please contact the conference secretary:
Una Gao
Tel: +86-17335783240 (WeChat)
Email: contact_dssc@163.com
Supported By
DSSC 2026 is organized in collaboration with leading academic and industrial partners, ensuring a rich and diverse program that bridges theory and practice.
Visit the official website for more details: http://www.icdssc.org/
Data sheet
2026 International Conference on Data Science and Social Computing (DSSC 2026) – Event Attendee & Buyer Profile Analysis
Event date: September 18–20, 2026
Location: Wuhan, Hubei, China
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 International Conference on Data Science and Social Computing (DSSC 2026) |
| Event Date | September 18–20, 2026 |
| Event Status | Upcoming |
| Venue | Wuhan venue not publicly specified in the provided official homepage content |
| City | Wuhan |
| State / Region | Hubei |
| Country | China |
| Organizer | Organizer name not clearly identified in the provided official homepage content |
| Official Event Website | icdssc.org |
| Event Type | International academic conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Science & Research; Education & Training |
| Audience Reach | International academic and applied research audience, based on official positioning |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for attendance volume; confirmed for event dates, city, country, topic scope, and publication pathway from official website content |
| Main Purpose of Event | Research presentation, academic exchange, publication, cross-sector discussion, and collaboration in data science and social computing |
About the Event
DSSC 2026 is an international academic conference focused on data science and social computing. According to the official website, it is designed to gather professors, researchers, scholars, and industrial pioneers from around the world to present research results, exchange experience, and discuss theoretical and industrial developments across topics such as data science foundations, social computing methods, digital society, cross-integration technologies, intelligent transportation, urban management, and application practices.
From a commercial and lead-generation perspective, DSSC 2026 appears more valuable as a precision networking and thought-leadership environment than as a mass-volume trade show. The event is relevant for technology vendors, AI/data platform providers, research software companies, smart-city solution firms, analytics consultancies, university partnerships teams, and R&D-oriented business development professionals seeking academic collaborations, pilot projects, or enterprise innovation relationships. Its attendee base is likely to be decision-influential rather than large-scale procurement-heavy.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| University professors and principal investigators | Universities, research labs, graduate schools | Influence research software, lab tools, cloud credits, data platforms, and collaborative projects | High relevance for research-tech vendors and academic partnership outreach |
| Researchers and scholars | Academic institutes, innovation centers, applied research groups | Evaluate tools, datasets, publication platforms, and technical collaborations | Useful for early adopter engagement and technical validation |
| Industrial pioneers and R&D leaders | AI companies, analytics firms, mobility-tech providers, smart-city vendors | May sponsor pilots, evaluate partnerships, or source applied research capabilities | High-value targets for solution selling and co-development |
| Data science and AI practitioners | Enterprise analytics teams, software firms, innovation units | Recommend or shortlist platforms, infrastructure, and applied services | Relevant for technical product demos and capability-led outreach |
| Smart city, urban systems, and transportation researchers | Urban informatics groups, mobility labs, municipal innovation projects | Influence adoption of simulation, traffic analytics, IoT, and data integration tools | Relevant for digital-twin, transport analytics, and civic-tech suppliers |
| Conference authors and presenters | Universities, institutes, applied research programs, industrial labs | High subject-matter credibility; may influence future buying committees | Useful for account mapping and warm-intro generation |
| Publication- and indexing-motivated participants | Authors seeking ACM proceedings, EI Compendex, Scopus visibility | Less direct purchasing authority, but strong ecosystem value | Relevant for academic service providers, editorial-tech, and conference-tech firms |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Wuhan | Local universities, institutes, tech professionals, and graduate researchers | Medium | Host-city attendance likely supported by convenience and local academic concentration |
| Hubei Province | Regional higher-education and research ecosystem | Medium | Likely draw from regional academic and public innovation networks |
| China national market | Professors, scholars, industrial researchers, authors, and data-science practitioners from across China | High | Official website presents the event as an international conference held in China with broad submission scope |
| International academic markets | Global professors, researchers, scholars, and industrial pioneers | Medium | International positioning is confirmed by official wording, but country-by-country attendee mix is not publicly confirmed |
| Asia-Pacific research corridors | Likely submissions and attendance from nearby academic and technology hubs | Estimated Medium | Likely attendee profile only; not confirmed by a published attendee directory |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The event is explicitly positioned as an international conference gathering participants from around the world. |
| National | Strong secondary reach | As a China-based event in Wuhan, it is also likely to have a strong domestic academic and applied research draw. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| No current-year buyer, attendee, sponsor, exhibitor, or speaker organization list was publicly verified from the provided official homepage content | N/A | The official site confirms conference dates, topics, and audience types, but the provided source content does not identify named organizations participating in 2026. | icdssc.org | Professor; Principal Investigator; Research Director; Head of Data Science; AI Lab Director; R&D Manager | Confirmed official event information only; company participation not publicly confirmed |
Assessment: This event currently offers limited verified company-level attendee intelligence for attendee-list building. It is more suitable for role-based prospecting, academic ecosystem targeting, speaker/author tracking, and post-publication outreach than for confirmed current-year buyer-list sales.
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| High | Professor / Faculty Lead | Academic / Research | Senior | Influences research direction, partnerships, and tool selection |
| High | Principal Investigator | Research | Senior | Often controls grant-backed project scope and vendor evaluation |
| High | Director of Research | R&D | Director | Relevant for enterprise-academic research collaborations |
| High | Head of Data Science | Data Science / Analytics | Director / VP | Decision-maker for analytics platforms and applied AI initiatives |
| High | AI Research Scientist | Research / AI | Manager / Senior IC | Strong technical influencer for tools, models, and data environments |
| Medium | CTO | Technology | C-Level | Relevant where industrial pioneers and applied technology firms attend |
| Medium | Product Manager, Data / AI | Product | Manager | Useful for solution alignment and applied use-case discussions |
| Medium | Innovation Director | Innovation / Strategy | Director | Important for pilots, cross-sector projects, and commercialization |
| Medium | Partnerships Director | Business Development / Partnerships | Director | Relevant for university-industry or technology alliance building |
| Medium | Program Manager, Smart City / Mobility | Programs / Operations | Manager | Relevant to intelligent transportation and urban management tracks |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| High | Research | Core fit for academic and applied research participation | Research software, analytics tools, datasets, cloud compute |
| High | Higher Education | Professors, scholars, and universities are central attendee segments | Academic partnerships, campus research adoption, lab software |
| High | Information Technology & Services | Strong fit for applied data platforms and enterprise analytics services | Solution selling to data and AI teams |
| High | Computer Software | Relevant for analytics, AI, modeling, and collaboration software vendors | Technical product outreach and pilot engagement |
| Medium | Internet | Social computing themes are relevant to digital platform companies | Social data, user behavior, and recommendation-system use cases |
| Medium | Information Services | Fits organizations delivering data, intelligence, and knowledge services | Data licensing, enrichment, and research intelligence |
| Medium | Government Administration | Urban management and digital society themes can overlap with public-sector innovation | Smart-city and public data initiatives |
| Medium | Transportation/Trucking/Railroad | Official topic list includes intelligent transportation | Mobility analytics, traffic optimization, operational intelligence |
| Medium | Management Consulting | Consultancies often participate in digital transformation and data strategy ecosystems | Advisory-led partnerships and implementation services |
| Medium | Industrial Automation | Cross-integration technologies and applied systems can include industrial analytics use cases | Applied AI, operational data, and system optimization |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | Official homepage content reviewed | No verified attendee number published in the provided source |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Official homepage content reviewed | This appears to be a conference rather than a large exhibition-led event |
| Buyer count | Not publicly confirmed | Unconfirmed | Official homepage content reviewed | Procurement-heavy buyer metrics are not typical for this event format |
| Speaker count | Not publicly confirmed in the provided source text | Unconfirmed | Official homepage content reviewed | A speakers page exists in navigation, but speaker organizations were not available in the provided source text |
| Sponsor count | Not publicly confirmed | Unconfirmed | Official homepage content reviewed | Supported by / Organizer By / Co-organizer By headings are visible, but names were not captured in the provided content |
| Historical attendance | No verified historical attendance figure available in the provided source | Historical data unavailable | Official homepage content reviewed | No prior-year statistics were provided |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Data Science Foundations | Algorithms, modeling environments, analytics workflows | Research collaborations, benchmark studies, software trials | Analytics platforms, MLOps tools, data infrastructure |
| Social Computing Theory and Methods | Behavioral data analysis, network analysis, digital interaction modeling | Methodology exchange, data partnerships, publication-oriented collaboration | Social analytics tools, graph databases, digital research services |
| Digital Society | Public-interest data, policy insight, citizen behavior analytics | Cross-sector partnerships with academia, public institutions, and civic-tech teams | Govtech, policy analytics, public data integration solutions |
| Cross-Integration Technologies and Systems | Interoperability, data pipelines, platform integration | Enterprise pilots, applied research, architecture discussions | APIs, cloud platforms, integration services, middleware |
| Intelligent Transportation and Urban Management | Traffic intelligence, urban systems analytics, operational optimization | Smart-city pilot conversations and public-sector research programs | Mobility analytics, digital twin, IoT and transport software |
| Application Practices | Real-world implementation examples and deployment guidance | Case-study led outreach and proof-of-value discussions | Professional services, consulting, implementation support |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Strong for research-tech, AI, analytics, smart-city, and collaboration offerings; weaker for generic B2B procurement categories |
| Decision-maker availability | Medium | Likely to include influential academic and technical leaders, though not always direct purchasing owners |
| Data collection potential | Low | No verified current-year attendee or organization directory was available in the provided official source |
| Apollo targeting potential | High | The subject matter supports precise role-, industry-, and keyword-based outreach even without a confirmed attendee list |
| Geographic targeting potential | High | Can target China, Asia-Pacific, and global research hubs relevant to data science and social computing |
| Best outreach approach | High | Thought-leadership, technical whitepapers, pilot proposals, research collaboration offers, and speaker/author-centered engagement |
| Overall lead quality | Medium | High-value for niche, knowledge-intensive offerings; not ideal for broad attendee-list monetization without more named participant data |
| Best use case | High | Account-based outreach to research, AI, data, and smart-city stakeholders |
| Limitations / risks | High | Limited verified named-organization participation, no published attendance numbers, and likely lower immediate procurement density than a commercial trade show |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Research; Higher Education; Information Technology & Services; Computer Software; Information Services; Government Administration; Transportation/Trucking/Railroad; Management Consulting; Industrial Automation | Align prospecting to the event’s research and applied technology themes |
| Departments | Research; Engineering; Information Technology; Product; Innovation; Business Development; Strategy | Capture both technical evaluators and collaboration owners |
| Seniority | C-Level; VP; Director; Head; Manager; Partner; Professor-equivalent where available | Prioritize strategic and technically influential roles |
| Job titles | Head of Data Science; Director of Research; Principal Investigator; AI Research Scientist; CTO; Innovation Director; Product Manager Data; Smart City Program Manager; Dean of Research; Lab Director | Map directly to likely DSSC participant profiles |
| Geography | China; Hubei; Wuhan; Asia-Pacific; selected global university and innovation hubs | Focus on local event relevance plus international conference themes |
| Employee size | 11–50; 51–200; 201–500; 501–1000; 1001–5000; 5001+ | Capture startups, research labs, universities, and larger enterprise innovation teams |
| Keywords | data science, social computing, digital society, machine learning, AI research, smart city, intelligent transportation, urban management, graph analytics, data mining, recommendation systems | Refine discovery toward event-topic overlap |
| Technologies | Cloud data platforms, AI/ML stack, analytics infrastructure, graph databases, geospatial and mobility analytics tools | Useful if the client sells complementary tools or services |
| Revenue range | Use broad or omit where targeting universities and institutes | Revenue filters can exclude relevant academic and public entities |
| Company type | Private; Public; Nonprofit; Educational; Government where database supports classification | Broaden capture beyond purely commercial firms |
Suggested Apollo Search Logic: ("data science" OR "social computing" OR "digital society" OR "AI research" OR "intelligent transportation" OR "urban management" OR "machine learning" OR "graph analytics") AND (Director OR Head OR Professor OR Principal Investigator OR CTO OR "Research Scientist" OR "Innovation Director") AND (Research OR "Higher Education" OR "Information Technology & Services" OR "Computer Software").
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| DSSC 2026 Official Website | Official event website | Event name, conference dates, Wuhan/Hubei/China location, audience description, call-for-paper themes, submission dates, and publication/indexing claims | High for core event facts listed on the homepage |
| Provided official homepage content snapshot | Primary source text supplied by user | Confirmed that no venue name, organizer name, attendance figure, named attendee list, exhibitor list, sponsor list, or speaker organization list was clearly available in the provided text | High within the limits of the supplied source text |
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Tell us your work email and our AI instantly builds a buyer list matched to 2026 International Conference on Data Science and Social Computing（DSSC 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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