2026 7th Asia Service Sciences and Software Engineering Conference (ASSE 2026)
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About this event
2026 7th Asia Service Sciences and Software Engineering Conference (ASSE 2026)
The 2026 7th Asia Service Sciences and Software Engineering Conference (ASSE 2026) will be held at Ritsumeikan University, Osaka, Japan from November 20–22, 2026. This international conference serves as a premier platform for researchers, practitioners, and professionals from academia, industry, and government to exchange ideas, share research findings, and explore advancements in Service Sciences and Software Engineering.
About ASSE 2026
ASSE 2026 aims to foster collaboration and discourse on research, development, and professional practices in Service Sciences and Software Engineering. The conference invites scholars and experts worldwide to present original work, including research results, industrial experiences, and surveying studies. Submissions must be unpublished and not under review elsewhere. Accepted papers will undergo a double-blind peer review process, with successful entries published in the International Conference Proceedings.
Key Highlights
- Submission Tracks:
- Full Paper Publication in Conference Proceedings
- Oral Presentation Only (Abstract Submission)
- Review Process: Blind peer review by 2–3 experts. Revised papers must pass a second review for acceptance.
- Indexing: Previous ASSE proceedings have been indexed by Scopus and EI Compendex.
Important Dates
| Event | Date |
|---|---|
| Full Paper Submission Deadline | July 15, 2026 |
| Acceptance Notification Date | August 15, 2026 |
| Registration Deadline | September 15, 2026 |
| Conference Dates | November 20–22, 2026 |
Venue & Location
Ritsumeikan University, Osaka, Japan
Osaka, a vibrant economic and cultural hub in western Japan, is renowned for its historical landmarks (e.g., Osaka Castle), modern entertainment districts (e.g., Dotonbori), and culinary delights like takoyaki and okonomiyaki. The university provides an academic backdrop for fostering global collaboration.
Target Audience
- Academic researchers in Service Sciences and Software Engineering
- Industry professionals and practitioners
- Government representatives focused on technological policy
- Students and early-career scholars
Key Focus Areas
- Service Sciences: Service systems, management, and innovation
- Software Engineering: Development methodologies, tools, and best practices
- Interdisciplinary collaborations between academia and industry
- Emerging technologies (AI, IoT, cloud computing) in service and software domains
Call for Participation
Authors are encouraged to submit original work via the Electronic Submission System. All attendees must register in advance. For program details, visa assistance, and registration, visit the official ASSE 2026 website.
Data sheet
2026 7th Asia Service Sciences and Software Engineering Conference (ASSE 2026) – Event Attendee & Buyer Profile Analysis
Event date: November 20–22, 2026
Location: Ritsumeikan University, Osaka, Japan
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 7th Asia Service Sciences and Software Engineering Conference (ASSE 2026) |
| Event Date | November 20–22, 2026 |
| Event Status | Upcoming |
| Venue | Ritsumeikan University |
| City | Osaka |
| State / Region | Osaka |
| Country | Japan |
| Organizer | ASSE 2026 conference organizing committee / conference group (specific legal organizer name not publicly clarified on the event homepage reviewed) |
| Official Event Website | asse.net |
| Event Type | International academic and professional conference |
| Primary Category | IT & Technology |
| Secondary Applicable Categories | Education & Training; Science & Research |
| Audience Reach | Global |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for volume metrics; dates, location, and conference purpose are confirmed by the official event website. |
| Main Purpose of Event | To provide a forum for researchers, practitioners, and professionals from industry, academia, and government to discuss research, development, and professional practice in service sciences and software engineering, including peer-reviewed paper publication and oral presentations. |
About the Event
ASSE 2026 is an international conference focused on service sciences and software engineering. According to the official event website, it is designed as a forum for researchers, practitioners, and professionals from industry, academia, and government to share research findings, development work, surveying studies, and industrial experience. The event supports both full paper submission for conference proceedings and oral-presentation-only participation.
From a business intelligence standpoint, the conference is most relevant for organizations targeting technical research communities, university labs, software engineering leaders, innovation teams, and public-sector or institutional stakeholders connected to digital transformation, systems engineering, and applied computing. Its value lies more in relationship building, thought leadership, academic-industry partnerships, and specialist lead discovery than in large-scale trade show footfall or direct product procurement volume.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Academic researchers and faculty | Universities, research institutes, computing departments | Influence software tools, datasets, research platforms, and collaboration decisions | High relevance for research software, developer tools, publishing services, and technical partnerships |
| Industry practitioners in software engineering | Software firms, enterprise IT teams, engineering groups | Evaluate engineering methods, platforms, architecture, automation, and service design practices | Relevant for DevOps, testing, cloud, analytics, AI, and engineering productivity solutions |
| Government and public-sector professionals | Government agencies, public research bodies, digital policy institutions | Influence digital modernization, research collaborations, and institutional technology evaluations | Relevant for civic tech, public-sector software, cybersecurity, and systems integration |
| Graduate students and doctoral candidates | Universities and labs | Emerging users and recommenders of software tools, research infrastructure, and technical communities | Good for early pipeline building and academic adoption programs |
| Conference authors and presenting specialists | Mixed academia-industry-government contributors | Thought leaders with subject-matter credibility and influence over tools and methods | High-value targets for partnerships, speaking sponsorship, and co-innovation outreach |
| Innovation and R&D leaders | Applied research centers, enterprise labs, advanced engineering teams | Influence pilot programs, technical evaluations, and strategic collaborations | Useful for high-value B2B solution positioning and joint research opportunities |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Osaka | Local faculty, students, nearby industry professionals, and host-institution participants | Medium | Local concentration likely strongest around the host university and regional technology ecosystem |
| Osaka region / Kansai area | Attendees from nearby universities, research centers, and corporate engineering teams | High | Likely feeder area for technical attendance due to travel convenience |
| Japan | National academic, public-sector, and industry participants | High | Official site positions the event as a national host with international participation |
| Asia-Pacific | Regional scholars and software engineering professionals | Medium to High | Event name and positioning suggest strong relevance across Asia, though participant counts are not published |
| Global | International researchers and practitioners | Medium | Official website explicitly welcomes scholars and researchers from all over the world |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The official website states that scholars and researchers working in the field are welcomed from all over the world. |
| National | Secondary practical reach | As a Japan-hosted conference at a university venue, domestic academic and technical attendance is likely to be meaningful. |
| Regional | Secondary practical reach | The Asia-oriented conference branding supports a strong Asia-Pacific relevance for participant sourcing and outreach. |
4. Sample Buyer Companies and Websites
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| Ritsumeikan University | Host academic institution | Confirmed venue host for ASSE 2026; relevant for academic partnerships, research software, and institutional collaboration | ritsumei.ac.jp | Professor, Associate Professor, Researcher, IT Director, Lab Manager | Confirmed Current-Year Participant |
| National Institute of Informatics | Prior host academic / research institution | Official news states ASSE 2025 was held successfully there; relevant as prior-year participation evidence only | nii.ac.jp | Research Director, Professor, Systems Researcher, Program Manager | Prior-Year Participation Evidence |
| Current-year attendee, speaker, sponsor, exhibitor, and buyer organization lists were not publicly available in the official website content reviewed. Prior-year participation evidence is limited. Not a confirmed attendee list for the current edition. | |||||
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | Professor / Research Professor | Research / Academic | Senior | Core conference contributor and high-influence stakeholder in research software and collaboration decisions |
| 2 | Director of Research / Research Center Director | Research & Development | Director | Oversees institutional adoption, grants, and technical collaboration priorities |
| 3 | Software Engineering Manager | Engineering | Manager | Relevant for applied methods, tooling, testing, and software lifecycle improvement |
| 4 | CTO / Chief Technology Officer | Executive / Technology | C-Level | Useful for enterprise software, R&D partnerships, and thought-leadership outreach |
| 5 | IT Director | Information Technology | Director | Influences infrastructure, software acquisition, integration, and institutional deployment |
| 6 | Product Manager / Technical Product Lead | Product / Engineering | Manager | Relevant for software engineering best practices and service design applications |
| 7 | Program Manager | Programs / Innovation | Manager | Useful contact for public-sector, research, and institutional digital initiatives |
| 8 | Government Digital Transformation Lead | Government IT / Innovation | Senior / Director | Relevant where public institutions attend to engage on technology modernization and service delivery |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Information Technology & Services | Core alignment with software engineering and digital service delivery | Enterprise software, consulting, systems integration |
| 2 | Computer Software | Direct fit for software product vendors and engineering teams | Developer tools, testing, application platforms |
| 3 | Research | Conference is research-led and publication-oriented | Research platforms, collaboration software, data services |
| 4 | Higher Education | University participation is central to the event structure | Academic technology procurement and partnerships |
| 5 | Government Administration | Official site includes government professionals in target attendee base | Public digital transformation and research collaboration |
| 6 | Computer Networking | Related infrastructure and systems engineering functions may overlap | Networked services and distributed systems |
| 7 | Computer & Network Security | Security frequently intersects with software engineering and service systems | Secure development and software assurance |
| 8 | Industrial Automation | Applied software engineering can extend into operational systems | Software-enabled industrial services |
| 9 | E-Learning | Relevant to academic software, learning platforms, and educational delivery systems | Edtech solutions for universities and technical training |
| 10 | Management Consulting | Consultants may attend for digital transformation and innovation knowledge exchange | Advisory partnerships and technical transformation projects |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | Official website reviewed | No official attendee total published in supplied official content |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Official website reviewed | This appears to be a conference rather than a trade exhibition |
| Buyer count | Not publicly confirmed | Unconfirmed | Official website reviewed | No hosted-buyer or procurement count disclosed |
| Speaker count | Not publicly confirmed | Unconfirmed | Official website reviewed | Keynote speakers section exists, but count was not available in supplied official content |
| Sponsor count | Not publicly confirmed | Unconfirmed | Official website reviewed | A “Supported by” section appears, but named organizations were not visible in supplied content |
| Historical attendance | Not publicly confirmed | Historical / unavailable | Official website reviewed | Prior-year event success noted, but no numeric attendance data published |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Software engineering research | Access to methods, tools, frameworks, and publication-quality applied results | Technical demos, research partnerships, paper-related collaboration | Development platforms, testing suites, analytics tools |
| Service sciences | Improved service systems, process optimization, and digital service models | Thought leadership and workflow modernization conversations | Service design platforms, automation, process intelligence |
| Academic publication and dissemination | Peer review support, formatting, dissemination, indexing credibility | Author services and conference support solutions | Publishing workflows, authoring tools, scholarly platforms |
| Industry experience sharing | Practical implementation lessons and benchmarking | Case-study-led outreach to practitioners and engineering managers | Consulting, engineering services, enterprise solutions |
| Government and institutional digital practice | Reliable service delivery, modernization, and applied research collaboration | Institutional partnership outreach and pilot project exploration | Govtech, cybersecurity, workflow systems, research partnerships |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | Medium | Best for technical, academic, and innovation-oriented outreach rather than mainstream volume procurement. |
| Decision-maker availability | Medium | High-value experts and research leaders are likely present, but formal procurement titles may be limited. |
| Data collection potential | Low to Medium | Public attendee visibility is limited based on currently available official content. |
| Apollo targeting potential | High | Event themes map well to software, research, higher education, and government digital audiences in Apollo. |
| Geographic targeting potential | High | Japan and broader Asia-Pacific can be targeted efficiently for specialized technical outreach. |
| Best outreach approach | High | Use value-led messaging around research collaboration, software innovation, speaking, demos, or institutional pilots. |
| Overall lead quality | Medium | High-quality niche audience; weaker fit for broad attendee-list scaling without additional participant directories. |
| Best use case | High | Specialist B2B outreach, academic partnership development, software tool positioning, and conference-related thought leadership. |
| Limitations / risks | Medium | No published attendee volume, no visible current-year attendee list, and likely lower direct procurement density than a commercial expo. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Information Technology & Services; Computer Software; Research; Higher Education; Government Administration; Computer Networking; Computer & Network Security; Industrial Automation; E-Learning; Management Consulting | Mirror the event’s software, research, and public-sector participant profile |
| Departments | Engineering; Information Technology; Research; Product; Innovation; Programs | Focus on technical and institutional influence centers |
| Seniority | C-Level; VP; Director; Manager; Owner; Partner; Professor-equivalent where available | Capture decision-makers and high-influence specialists |
| Job titles | CTO, IT Director, Engineering Manager, Software Engineering Manager, Director of Research, Program Manager, Product Manager, Professor, Research Scientist, Innovation Director | Prioritize roles aligned with conference themes and adoption influence |
| Geography | Japan first; expand to Asia-Pacific; secondary global academic and software hubs | Build a geographically realistic prospect set around the event’s host market and international scope |
| Employee size | 11–50; 51–200; 201–1,000; 1,001–5,000; 5,001+ | Capture startups, research entities, universities, and enterprise technology teams |
| Keywords | software engineering, service science, digital transformation, research lab, academic computing, systems engineering, applied AI, conference paper, innovation center | Narrow outreach to organizations likely aligned with event participation themes |
| Technologies | Use only if relevant to client offering: cloud platforms, developer tooling, analytics, AI/ML, cybersecurity stack | Improve precision for solution-led campaigns |
| Revenue range | Optional; best used for commercial software and consulting outreach rather than academic institutions | Separate enterprise targets from non-commercial organizations |
| Company type | Private; Public; Educational; Government | Reflect mixed attendee base stated by the organizer |
Suggested Apollo Search Logic: (“software engineering” OR “service science” OR “digital transformation” OR “research computing” OR “applied software research”) AND (Japan OR Asia-Pacific) AND (CTO OR “IT Director” OR “Engineering Manager” OR Professor OR “Director of Research” OR “Program Manager”).
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ASSE 2026 Official Website | Official event website | Confirmed event name, dates, venue, city, country, positioning, target participants, submission model, review process, and key deadlines | High |
| ASSE 2026 Official Website – Important Dates / News content | Official event website section | Verified submission deadline, acceptance notification date, registration deadline, conference dates, and prior-year host reference for ASSE 2025 | High |
| Ritsumeikan University | Institutional website | Host institution domain for venue organization reference | High |
| National Institute of Informatics | Institutional website | Organization identity for prior-year participation evidence only; not confirmation for ASSE 2026 attendance | Medium to High |
| Verification Note | Research limitation | No official attendee list, exhibitor list, sponsor roster, buyer directory, speaker roster, or attendance volume figures were available in the supplied official website content. This event is suitable for niche B2B attendee list building and Apollo-led prospecting, but not for high-confidence current-year attendee list extraction based on currently visible public data. | High confidence in limitation |
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