Enabling scientists and scholars engage with target audience

Reaching target audience with the right message at the right time is the main objective in communications. There are many different ways to achieve this goal, from conferences, publish papers, to digital formats like Webinar, personal messaging and social media.

Scientists and scholars gradually turn to digital media to engage with target audience.

Video accounts for 82% of all Internet traffic in 2022. Scholars increasingly use video as a powerful teaching and engagement tool.

Source: Cisco Annual Internet Report 2018-2023

But there are several challenges

  • Selection of appropriate communication
    format is difficult
  • Effectiveness of communication format unknown
  • High production costs and media literacy required
  • Interactions and dialog with target audience difficult to achieve

  • Conflicts with science lab workload

  • Lack of appreciation and reward

Scientists and scholars demand

  • Non intrusive and minimal distraction approach in
    conducting science communication

  • Reach target community

  • Create engaging dialogs and interactions

  • Part of daily work routine

  • Enjoyable experiene

  • Low investment in cost and time

Introducing a new Approach

Digital Format

Communication format addresses the following requirements

Visual

Video is the fastest growing digital medium in lecturing and knowledge transfer.

Contextual

Everything must be in the context of what is shown. Items are identified for what they really are.

Extensisble

Additional data and insights are added dynamically at near real-time.

Interactionable

Engagement with the target audience must be facilitated.

Discoverable

Content must be searchable on the Internet.

Data Driven

User interactions data capture and analysis to deliver measurable insights in regard to engagement goals

Dynamic

Enriched data rendered immediately to the target user.

Ease of Use

Enjoyable and convenient as working with Word or Excel. No training required.

Prozess

Communication prozess using established principles in science

  • Adaptive – frequently reflect and adjust

  • Guided by data – engagement metrics measured and analyzed to gain insights

  • Incremental – small steps will get you to your target

  • Start fast at low risk – get started in hours

  • Enjoyable – spend your time engaging with your audience

  • No media and tool training required – being a scientist is hard enough

Summary

The combination of human expertise, a new visual format and adaptive process offers an effective communication environment to engage with target audience at minimal effort and risk.

How does it work

AI/ML powered Semantic Engine continuously processes various type of data sources to deliver continuous set of recommended contextual data to the scientist/scholar.

Visual Semantic Editor where scientists and scholars enrich video with recommended multi-media content provided by the Semantic Engine.

Scientist choose from preconfigured, easy to use tools like Add Text (shown in the picture), Foto, Video, Audio, Quiz, Survey, Chart, and Web Form to inject data at any given point in the video timeline.

Runtime Engine dynamically renders data and sends it to target user Engagement Player in near real-time.

Any data enrichment operation conducted in the Visual Editor will be instantly visible to the target user.

All data is fully Web enabled and interactive.

Protocol Engine records user interactions. Reporting Engine creates visual dashboard and delivers data insights back to both the scientist/scholar and Semantic Engine.

Protocol Engine captures contextual meta-data, only visible to scientist/scholar in anonymized form. Google has no access to usage data. Disclosure of user identity can be required by scientist/scholar with consent from target user..

Example: 23 users in the last 24 hours selected “Chromatin” in video ID=3678 and watched for average 537 seconds

Reporting Engine creates visual dashboard for customized metrics

Example: Average Unique Interactions per User: 3, Video Watch Duration: 350 secs

Start to finish in one hour

  • Start immediately – Scientist/scholar select existing video addressing topic of choice.

  • Scientist/scholar use Visual Semantic Editor to inject multi-media data into video timeline.

  • Scientist/scholar engages with target audience by processing feedback delivered as video control actions, comments, survey and quiz response, or completed web form.

  • Analytics Engine protocols user interactions and prepares insights using visual dashboards and metrics in real-time. Scientist/scholar derive insights about user engagements to learn and adapt.

  • Iterative and adaptive loop ensures that scientists/scholar can learn from user engagement insights and continuously adapt the enrichment process.

Start to finish in one hour

A new visual format in combination with adaptive process and easy to use Internet tools offers an effective, non-intrusive communication environment for scientists/scholars to engage with their target audience.

Conclusion

A new visual format in combination with adaptive process and easy to use visual Internet tools offers an effective, non-intrusive communication environment for scientists/scholars to engage with their target audience.

How does it work

AI powered Semantic Engine connected with various data sources continuously delivers contextual data to the scientist.

Visual Semantic Editor where scientists and scholars enrich video with multi media content delivered by the Semantic Engine. Scientist choose from preconfigured tools to inject data at any given piont in the video.

Runtime Engine dynamically renders data and sends it to Engagement Player in near real-time.

Protocol Engine records user interactions. Reporting Engine creates visual dashboard and delivers data insights back to both the scientist/scholar and Semantic Engine.

Protocol Engine captures contextual meta-data, only visible to scientist/scholar

Example: 23 users in the last 24 hours selected “Chromatin” and watched video for average 537 seconds

Reporting Engine creates visual dashboard for customized metrics

Example: Average Unique Interactions per User: 3, Video Watch Duration: 350 secs

Start to finish in one hour

  • Start immediately – Scientist/scholar selects existing video addressing scientific topic

  • Scientist/scholar use Visual Semantic Editor to compose contextual data and Internet tools to inject enrichted data into vidoe timeline.

  • Scientist/scholar engages with target audience by processing feedback delivered as comments, survey response, quiz respones, or completed web form.

  • Analytics Engine protocols user interactions and prepares insights using visual dashboards and metrics in real-time. Scientist/scholar derive insights about user engagements to learn and adapt.

  • Iterative and adapative loop ensures that scientists/scholar can learn from user engagement insights and continuously adapt the enrichement.