Why You Should Link Your Resource to Lanfrica

Linking your resource to Lanfrica offers advantages that can significantly amplify your work's impact and reach. Here's why you should consider linking your resource to Lanfrica. For how to link, go here.

Enhanced Cross-Domain Visibility

The primary benefit of linking to Lanfrica is achieving unprecedented cross-domain visibility in the African AI landscape. While traditional discovery platforms serve us well within our specific fields, the world of African AI brings together diverse disciplines that historically haven't been well-connected.

Lanfrica bridges these gaps by connecting linguistics, technology, engineering, and other related fields on a single platform. Consider this concrete example: a linguist who has conducted extensive analysis on a Bantu language and produced valuable field resources and datasets might remain invisible to an NLP researcher working on model training. These fields have traditionally operated in silos, but Lanfrica serves as the connecting bridge, ensuring that valuable linguistic resources become discoverable by AI researchers and vice versa.

Cross-Repository Accessibility

Beyond cross-domain visibility, Lanfrica provides crucial cross-repository visibility. Researchers have different preferences for hosting their work - some prefer Zenodo, others use Figshare, and many in the AI community gravitate toward Hugging Face for datasets. This fragmentation means that valuable African resources often remain hidden from potential users who search primarily on their preferred platforms.

When you link your resource to Lanfrica, you're essentially creating a comprehensive map that guides users to African resources across all these different repositories. This dramatically increases the likelihood that researchers will discover and utilize your work, regardless of where they typically search for datasets and resources.

Inclusion in Comprehensive Insights and Analysis

Lanfrica goes beyond simply cataloging resources - we analyze the entire ecosystem to produce meaningful insights about the state of African resources. Through our annual reports, we examine their representation, identify gaps, assess risks, and track progress in the field.

By linking your resource to Lanfrica, you significantly increase the chances that your work will be included in these comprehensive analyses. This inclusion is valuable not only for painting a complete picture of the African AI landscape but also for ensuring that your contributions are recognized and featured in our broader insights about the field's development and needs.