Expected Results. What will be done in the framework of this project?
Expected Results. VA’s agreement with DoD to provide educational assistance is a statutory requirement of the three Federal benefit programs that are the subject of this agreement: Chapter 1606, Title 10, U.S.C., (Xxxxxxxxxx GI Bill — Selected Reserve); Chapter 30, Title 38, U.S.C. (Xxxxxxxxxx GI Bill — Active Duty); and Chapter 33, Title 38, U.S.C. (Post-9/11 GI Bill). These laws require VA to make payments to eligible veterans, service members, guardsmen, reservists, and family members under the transfer of entitlement provisions. The responsibility of determining basic eligibility for Chapter 1606 is placed on the DoD. The responsibility of determining basic eligibility for Chapter 30 and Chapter 33 is placed on VA, while the responsibility of providing initial eligibility data for Chapter 30 and Chapter 33 is placed on DoD. Thus, the two agencies must exchange data to ensure that VA makes payments only to those who are eligible for a program. Without an exchange of enrollment and eligibility data, VA would not be able to establish or verify applicant and recipient eligibility for the programs. Subject to the due process requirements, set forth in Article VII.B.1. and 38 U.S.C. §3684A, VA may suspend, terminate, or make a final denial of any financial assistance on the basis of data produced by a computer matching program with DoD. To minimize administrative costs of implementation of the law and to maximize the service to the veteran or service member, a system of data exchanges and subsequent computer matching programs was developed. The purposes of the computer matching programs are to minimize the costs of administering the Xxxxxxxxxx GI Bill — Active Duty, the Xxxxxxxxxx GI Bill — Selected Reserve, and the Post-9/11 GI Bill programs; facilitate accurate payment to eligible veterans or service members training under the Chapter of the Xxxxxxxxxx GI Bill — Active Duty, the Xxxxxxxxxx GI Bill — Selected Reserve, and the Post-9/11 GI Bill program; and to avoid payment to those who lose eligibility. The current automated systems, both at VA and DoD, have been developed over the last 26 years. The systems were specifically designed to utilize computer matching in transferring enrollment and eligibility data to facilitate accurate payments and avoid incorrect payments. The source agency, DMDC, stores eligibility data on its computer-based system of records. The cost of providing this data to VA electronically is minimal when compared to the cost DMDC would incur if the dat...
Expected Results. This funding will expand the size and scope of the sweet sorghum breeding program, allowing our cooperative efforts to advance for both the high biomass sorghums (for cellulosic conversion applications) and the sweet sorghums (for sugar based conversion applications). From this program, we expect to produce the lines needed for the second generation of sweet sorghum hybrids. First generation hybrids have emphasized the development of hybrids that are sweet and produce sugar as primary trait; there has been less attention devoted to improved quality, enhanced yield, more desirable maturity, and improved disease resistance. The sweet sorghum breeding program has been engaged in sweet sorghum breeding for over four years, we have a 4 year advantage on other projects that are now being initiated. This funding is critical to maintain this advantage.
Expected Results. An improvement of conservation-relevant knowledge of migratory waterbirds requires effective international coordinated processes for gathering monitoring data and making these data available for appropriate analyses. The establishment and maintenance of national monitoring schemes aimed at assessing the conservation status of waterbirds is also needed, with the establishment of research programmes relevant for AEWA, and sharing information on best practices for waterbird conservation in the region. In order to be effective, monitoring of key sites needs to be a long-term activity with sustainable financing in place, whilst provisions are also needed for exploration in less well-known areas (e.g. gap-filling surveys). In order to improve the relevance of the Strategic Plan for Africa, a complementary target (CT1) has been identified to contribute towards improving the quality and quantity of data on waterbird movements in Africa. On the basis of the preceding analysis, the following results have been identified to be desirably attained in Africa by 2017 in order to ensure the achievement of objective 3 of the Strategic Plan in Africa:
Expected Results. CONSULTANT shall perform all work hereunder in a manner consistent with the level of competency and standard of care normally observed by a person practicing in CONSULTANT’s profession. If SCTA determines that any of CONSULTANT’s work is not in accordance with such level of competency and standard of care, SCTA, in its sole discretion, shall have the right to do any or all of the following: (a) require CONSULTANT to meet with SCTA to review the quality of the work and resolve matters of concern; (b) require CONSULTANT to repeat the work at no additional charge until it is satisfactory; or (c) terminate this TASK ORDER pursuant to paragraph 4.2; or (d) pursue any and all other remedies at law or in equity.
Expected Results. This output therefore aims to - • Reduce the percentage of the total population that experiences hunger, and; • Decrease in the percentage of under-nourished children. The following sub outputs have been identified to support the realization of this output:
Expected Results. Canada’s financial contribution under this Appendix will support Quebec in its efforts to conserve and enhance the St. Xxxxxxxx. The expected results will be as follows:
a) the implementation of the St. Xxxxxxxx conservation and enhancement projects needed to achieve the objectives set out in the Agreement; and
b) the acquisition of new knowledge and data generated by participants to support the management and sustainability of Canadian ecosystems.
Expected Results. The Corporation shall pursue the achievement of the following results:
(a) enhance productivity, competitiveness and economic growth by accelerating business-led innovation that helps firms grow and creates new jobs;
(b) address gaps and enhance the attributes of regional innovation ecosystems to align and strengthen the assets and key elements that contribute to developing a world-leading Supercluster;
(c) increase business enterprise R&D and applied research to strengthen Canada’s technological capabilities and commercialize products, processes and services that address important industrial challenges for Canada’s sectors of economic strength; and
(d) achieve meaningful collaboration between private, academic and public sector organizations to strengthen collective capabilities and knowledge.
Expected Results. The State Agency will use the data provided by SSA to improve public service and program efficiency and integrity. The use of SSA data expedites the application process and ensures that benefits are awarded only to applicants that satisfy the State Agency’s program criteria. A cost-benefit analysis for the exchange made under this Agreement is not required in accordance with the determination by the SSA Data Integrity Board (DIB) to waive such analysis pursuant to 5 U.S.C. § 552a(u)(4)(B).
Expected Results. The matching program ensures that benefits provided to disaster survivors by DHS/FEMA and SBA are not duplicated. By way of the DHS/FEMA disaster registration identification (ID) number, DHS/FEMA and SBA are able to identify the applications received from mutual DHS/FEMA and SBA disaster survivors. By the nature of the sequence of delivery, as outlined in FEMA Regulation, 44 C.F.R. Section 206.191, survivors that register with FEMA for possible disaster assistance and meet SBA’s minimum income requirements are automatically referred to SBA for possible loan assistance to homeowners and renters. The Agreement helps to identify instances where the same disaster survivor has submitted applications to both FEMA and SBA, which could result in a duplication of benefits (DOB). Since FY 20181 the use of the Agreement has identified 390,494 instances where the same disaster survivor submitted applications to both agencies, a yearly average of 78,099. These loans were valued at $4,118,940,623, a yearly average of $823,788,124.60. Once the computer match identifies a potential DOB, SBA staff manually review the files to determine whether a DOB exists and the amount of the DOB. In FY 2022 and 2023, SBA declined 466 loans due to recoveries from other sources. The verified loss amount for these declined loans totaled more than $40.7 million, an average of $87,389.88 per loan application declined due to other recoveries. Prior to the use of this computer match, SBA loan officers used stand-alone PCs to access FEMA's system, National Emergency Management Information System- Individual Assistance (NEMIS-IA). Without the computer matching Agreement, SBA staff performed a manual checking process to avoid a duplication of benefits. This duplication of benefits check procedure took approximately 12 minutes per loan application and was performed on all loan applications, not just the approved loans. In FY23, a total of 45,418 loan applications were received. Assuming the next three years (the number of years covered by this CMA) are the same, a total of 136,254 applications are estimated to be received. With each of these applications requiring 12 minutes of effort, a total of 1.6M minutes of reviews would be required to be expended. Assuming the average loan specialist earns $37.87,2 which equates to $0.63 per minute, this CMA will save $1.008M.
