Evaluation Paper Excecutive Summary

The following is the executive summary from my evaluation paper entitled:

GR8C Accredited: Developing an Accreditation Program for OpenMLS® Registrars

This proposal was researched and developed for the Global Real Estate And Technology Consortium (GR8C). It specifies an accreditation review program for accrediting Candidate Registrars (CR) along with a compliance review for future registrar compliance after the accreditation phase. In addition, the proposal addresses current issues concerning current Multiple Listing Services (MLS) by creating a certification framework called the Accredited OpenMLS® Registrar (AOR) Program which includes three areas of evaluation: management, financial and information technology. These three areas are comprised of evaluation questions researched from the literature review.

The implementation plan begins with assembling an AOR Review Team. Once the team is assembled and properly trained, an open application window phase is initiated and slated for June 1, 2013. Online applications are accepted and reviewed by the AOR Review Team until the close of the open application window phase which closes August 30, 2013. The AOR Review Team performs background checks, management reviews, financial status inquiries and technology experience credentials before rendering a decision of approval or rejection for accreditation status. The AOR Review Team will also conduct randomly selected compliance reviews of AORs for continuous compliance. With the AOR Program and Compliance Program fully operational, future AOR application windows will open to more candidate registrars globally for potential accreditation and ongoing compliance.

All dates are tentative.

--Corey

Grant Search Abstract

My grants and contracts course involves the delivery of a research topic paper within the duration of the semester course. Since online grant search was barely discussed in our required readings, I chose the topic title, "Using Advanced Google Search Algorithms for Grant Searching."

Today I submitted the abstract to my professor which follows:

These days nonprofit organizations more than ever need help finding new opportunities in grant funding for their organizations to continue to operate and ultimately complete their mission statements. An obvious choice is searching online. However, developing search criteria such as using relative keywords, including specific sites, or even excluding superfluous search terms can be complex and time consuming process. With this in mind, would nonprofit organizations benefit from developing advanced search algorithms when searching online for new and available grants?

This research project will attempt to answer this question using the Google search engine along with various supporting online tools. Methods for searching and data collection will involve experimenting with order, exclusion, phrases, and other specific Google search parameters. Even though the main key search terms for this research project will be "technology" and "real estate", these terms can be simply replaced with alternative industry terms to satisfy other nonprofit organizations' search requirements. Results from the experimental searches will hopefully provide a clearer picture into the world of grant searching on the Internet using a search engine. Finally, a conclusion will summarize findings along with commentary for using advanced search algorithms by nonprofit organizations when searching for online grant funding.

I look forward to beginning the experimental search algorithms for data collection followed by publishing results for the research paper.

--Corey