updated README and included next steps section

README.md

@@ -8,6 +8,13 @@ datasets:
 - PubMed
 ---
 # Psych-Search
+Psych-Search is a work in progress to bring cutting edge NLP to mental health practitioners. The model detailed here serves as a foundation for traditional classification models as well as NLU models for a Psych-Search application. The goal of the Psych-Search Application is to use a combination of traditional text classification models to expand the scope of the MESH taxonomy with the inclusion of relevant categories for mental health pracitioners designing suicide prevention programs for adolescent communities within the United States, as well as the automatic extraction and standardization of entities such as risk factors and protective factors.
+
+Our first expansion efforts to the MESH taxonomy include categories:
+- Prevention Strategies
+- Protective Factors
+
+We are actively looking for partners on this work and would love to hear from you! Please ping us at nlp4good@gmail.com. 
 
 ## Model description
 
@@ -63,4 +70,7 @@ To evaluate the effectiveness of psych-search within the mental health domain, a
 
 bert-base-uncased   | SciBERT Scivocab Uncased | Psych-Search
 -------|---------|----------
-0.7348  | 0.7394 | 0.7415
+0.7348  | 0.7394 | 0.7415
+
+## Next Steps
+If you are interested in continuing to build on this work or have other ideas on how we can build on others work, please let us know! We can be reached at nlp4good@gmail.com. Our goal is to bring state of the art NLP capabilities to underserved areas of research, with mental health being our top priority.