Updates from the Citizen Science Helix

Crowdhelix’s New Results Feature Helps Researchers Engage with SMEs, Investors and Policy Makers 

Crowdhelix members can now showcase research results on the open innovation platform, making it easier for them to engage with industry experts, ambitious investors and future-orientated policymakers.

The new Results feature has been made available to all platform users to promote the rapid dissemination of key exploitable results among stakeholders across multiple value chains, disciplines and industries.

Crowdhelix CEO, Michael Browne, believes that the new Results feature will help members of the Crowdhelix platform to unlock the potential of individual research projects.

“Our new Results feature represents a new departure for Crowdhelix. In the past, we exclusively focussed on generating early-stage collaboration opportunities between researchers, business leaders and policymakers”.

“Now, we want to showcase tangible results so that we can also foster real-world innovation, entrepreneurship and business opportunities among our growing and diverse community of members”.

“I anticipate that the new Results feature will help us to become an end-to-end open innovation platform that members can leverage to build consortia funded by international bodies before showcasing their research results to investors and policymakers”.

“Ultimately, we want to generate the “gold dust” required to convert research into market-ready solutions”.

In short, this new feature allows paid users to:
🔵 Create Results on the Crowdhelix platform, 
🔵 Leverage Crowdhelix’s unique AI-powered technology to rapidly connect scientific results with the people who most care about them.

Join the Citizen Science Helix community and stay up-to-date with the latest news and updates!

Crowdhelix Develops Cutting Edge AI to Enhance its Recommender Engine by 50%

Crowdhelix has developed new AI technology to enhance its recommender engine by 50%, making it easier for users to collaborate with experts across research, innovation and business. This massive enhancement is the result of a nine-month project led by Crowdhelix’s Machine Learning Engineer, Alex Lilburn.

The pioneering system employs trailblazing transformer models, similar to those used in ChatGPT, to help users identify and collaborate with Crowdhelix’s network of over 12,000 expert innovators spread across 57 different countries.

How does the New Recommender Engine Work

The transformer models employed by the new recommender engine act as a neural network that understands the context in which platform users leverage keywords to search for collaborators. As a result, Alex explains, the enhanced recommender engine is able to detect the most subtle connections between individual words and sentences, and the ways in which they interact with each other.

“We have significantly upgraded our recommender system, introducing some bleeding edge technologies that will transform how users can maximize the Crowdhelix platform. 

While our previous recommender system might have identified the basic relevance between words with the same stem: the relationship between medicine and medical for example; our new engine can identify a broader set of meaningful words such as medicine, treatment, surgery and pharmacy. 

This means that our enhanced engine can appreciate context and how similar concepts relate to each other.” 

This encoding is more complex and context sensitive than any solution Crowdhelix has used before. In the same way, as humans identify objects as closer or further away, the new recommender engine does the same for concepts in the very high dimensional space that it's encoding these pieces of text into.  Which means that members of the Citizen Science Helix Community will now see more opportunities for collaboration and innovation than ever before.

To begin using the new recommender engine, all you have to do is to log into your Crowdhelix account and look for opportunities.

Author: Alan Drumm (CHX)