Background to the Project Clause Samples

Background to the Project. The design and specification of lift systems for large buildings is a complex proc- ess. This complexity is demonstrated by the fact that many systems already adopted in high rise buildings are considered sub-optimal. Large modern buildings often incorporate shuttle lifts that take people to a sky lobby, from which local lifts take people on to their final destination and, to date, it has not been possible to model this whole system. In the late 1970’s the use of computer simulation to evaluate lifts systems was introduced by ▇▇▇▇▇▇ and ▇▇▇ ▇▇▇▇▇▇ (▇▇▇▇▇▇ and ▇▇▇ ▇▇▇▇▇▇, 1977). Around 1998 a PC-based simulation program was developed for general use by ▇▇▇▇▇▇ (Pe- ters, 1998) This program, called ELEVATE, enabled users to model most types of build- ings with associated lift control systems and types of traffic. It could not look at multiple groups of lifts in operation in parallel nor did it account for designs in- volving sky lobbies, double deck lifts with new so-called “destination” hall call control or address the various other important parameters of design including building space taken, capital cost estimates or the generation of a 3-D Building In- formation Model of the proposed lift services. Currently the “state of the art” from the viewpoint of independent lift system simulation resources is the availability of either “PC-LSD”, a program developed by ▇▇▇▇▇▇ or “Elevate” a program developed by ▇▇▇▇▇▇. The limited functionality of the current programs means that the designer must have considerable experience and tacit knowledge of how to address all the variables involved. The current systems are also not compatible with the planning require- ments of modern lifts which now increasingly incorporate destination hall-call con- trol systems where users “book” their calls even before they enter the lift lobby. Recent advances in software development have provided the opportunity to devel- op an Expert System based upon a Building Traffic Simulator. Such a system would allow consultant’s expertise in the form of rules that could be captured together with their in-depth knowledge of lift system design, to meet a wide range of needs. Moreover, around year 2000 it became feasible to start and portray lift systems visually to give clients and architects a more direct understanding of the likely per- formance of the lift services. Telling the developer that 11% 5-minute handling ca- pacity would represent “poor” lift service was nothing compared to seeing pe...

Background to the Project. 1.1 Europeana Inside has sought to remove or reduce the barriers to participation in Europeana by museums, archives and libraries across Europe. 1.2 The project has developed, tested and delivered an innovative framework of software solutions (the Europeana Connection Kit or ‘▇▇▇’) designed to integrate data publishing into the workflows of collections and information management in cultural heritage institutions. 1.3 In support of this integration, the technical partners have begun the process of embedding the ▇▇▇ functionality into their existing and future products and services. By making the ▇▇▇ functionality available to the existing installed user-base of these products, there is a genuine opportunity to reach an audience of tens of thousands of cultural heritage institutions. 1.4 In the process, the project partners have aggregated a significant quantity of high-quality metadata which has been submitted for inclusion in the Europeana platform at ▇▇▇.▇▇▇▇▇▇▇▇▇.▇▇.

Background to the Project. The current structure of the SCM Unit cannot implement the current DMP relative to a number of items to be actioned as the current head count does not match with the amount of work that needs to be done in terms of Tender Administration. The amount of work to be carried out on a daily basis far exceeds the current number of employees in the unit. The mandate of the SCM Unit includes, among other things, the following: • Demand Management ; • Procurement of goods and services; • Contract Management; and

Background to the Project. In 2010, the Greater London Authority (GLA) awarded funding to Nightingale and ▇▇▇▇▇▇▇ academies to deliver a high quality careers guidance and community learning offer (formerly called the ‘3 Part Offer’). The Mayor and GLA had two objectives for investing in this programme: a. to improve education and career out comes for students attending the academies and members of the local community; and b. to develop models of best practice that can be shared with London schools and policy -makers. The Bexleyheath and ▇▇▇▇▇▇▇▇ academies were awarded funding to deliver the sa me offer in 2012 and 2013 respectively. Four years into the programme, we want capture the good practice achieved and lessons learned and to assess the value added of the GLA funded programme on student outcomes.

Background to the Project. The concept of non-traditional, short-term, and contract work has been around since well before the digital age, but it wasn’t until the 2010s that digital labour platform companies (like Uber, Glovo, Lieferando, Clickworker, MTurks and TaskRabbit) rose to prominence and shaped gig work the way we know it today. Around 40 million people in low- and middle- income countries earn part or their entire income in the gig economy. In this era of digitalisation, digital labour markets led by digital platforms have become highly relevant. A ‘digital labour platform’ is a company that uses digital resources to mediate value-creating interactions between consumers and individual service-providing workers, i.e., that digitally mediates transactions of labour. Amongst these digital labour platforms, there are two broad types. The first— ‘location-based’ platforms where work is required to be done in a particular location (e.g. delivering food from a restaurant to an apartment or driving a person from one part of town to another), and in the second—’cloudwork’ platforms—the work can, in theory, be performed from anywhere via the internet (e.g. designing, coding, data categorisation or online freelancing) (Fairwork, 2021). Work obtained in the gig economy is usually characterized by precariousness in employment, and lack of access to pay and working conditions associated with jobs in the formal economy. Gig workers perform tasks ranging from low digital integration as online freelancers, crowd workers and location-based workers (which is the focus of this project) to high, complex tasks often in competitive environments. By classifying their workforce as independent contractors, companies deprive workers of fundamental rights under federal and state labour and employment laws, including wage and hour protections, anti-discrimination protection, workers’ compensation, unemployment benefits, and the right to organize and collectively bargain (EPI,2022). Several surveys of gig workers have indicated that in some instances they are paid less than the minimum wage; they face economic insecurity; and are at risk of losing earnings due to technical challenges with digital platforms. Wages are among the most important conditions of work and a major subject of collective bargaining. In 1919, the International Labour Organization identified the provision of an adequate living wage as one of the conditions for universal and lasting peace based on social justice. Its preamble state...

Background to the Project. The RAF seeks the service of a leadership development/ consulting agency to implement a Coaching Programme for a period of four (4) to eight (8) months for eighteen (X18) to twenty (X20) General Managers (GM). GMs have already gone through a 360-degree assessment process based on the RAF Leadership Competency Framework. As an outcome of the 360-degree assessment there is a need for coaching services for all GMs in line with the relevant Coaching Methodology and Principles. It is required of GMs to effectively work together as a team, as well as individually. The Coaching will take the form of combined group and individual sessions.

Background to the Project. About the project: This Foresight project, sponsored by Her Majesty’s Treasury, is led by the Government Office for Science under the direction of the Government’s Chief Scientific Adviser, Professor ▇▇▇ ▇▇▇▇ ▇▇▇▇▇▇▇▇▇▇. Aim of the project: To make a significant contribution to the efficiency, integrity and resilience of financial markets, by identifying options for policy makers in the UK and internationally. How it works and what it will look at: It involves leading experts in this field and will explore how computer generated trading in financial markets might evolve in the next ten years or more, and how this will affect: Financial stability; Integrity of financial markets including price information and liquidity; Competition; Market efficiency for allocating capital; Transaction costs on access to finance; and Future role and location of capital markets. It will also assess options for addressing the key challenges ahead, and consider how the opportunities offered by advancements in computer technologies could be capitalised upon by the financial sector. High Level Stakeholder Group (HLSG): A High Level Stakeholder Group involving senior individuals from relevant institutions, both domestic and international, will be convened and chaired by the sponsoring Minister, Financial Secretary to the Treasury, ▇▇▇▇ ▇▇▇▇▇ MP. Its first meeting will be in July 2011. Lead Expert Group (LEG): The project’s Lead Expert Group meets monthly over the two year duration to drive the project and ensure commissioned work is of sufficient scientific rigour and credibility. How the project works: There are three main phases. Please note the dates below are current estimations and subject to change. Understanding what is happening and gathering evidence – October 2010-July 2011; Drawing on the best available evidence to evaluate how computer generated trading may evolve in the next 10 years and how these developments will impact on financial markets. Synthesising evidence and identifying options for policy makers and regulators – July 2011-April 2012; Synthesising evidence and identifying and assessing options for addressing the most important challenges and opportunities identified in phase 1, for policy makers and regulators.

Background to the Project. RTIG has received and is managing a fund on behalf of the department for Transport (DfT) with the goal of increasing the provision of onboard audible and visible information for small operators of local bus services. The Grant is being provided by RTIG to the Recipient for this purpose.

Background to the Project. 3.1 BWI sought to develop maps highlighting indicative areas in Ireland that are particularly important for key Red- and Amber-listed farmland bird species of conservation concern (BOCCI). 3.2 These hotspots have been derived from recent bird observation records in various scientifically validated datasets. An appropriate scoring scheme has been designed by BWI to highlight those areas of greatest significance. The scoring scheme involved extrapolating any point observations to an appropriate surrounding region. 3.3 The original agreement between BWI and NPWS/DHLGH (4th August 2021) set out that although records of rare and sensitive species would be included in the scoring process, sensitive locations of such species were not to be revealed by these maps. In particular, maps generated by this project would not present spatial information for a given species at a greater resolution than that used in the Bird Atlas 2007-2011 or Ireland’s 2019 Article 12 reporting under the Birds Directive. 3.4 Since that original MOU was agreed, a separate request to BWI from DAFM has been made to obtain outline hotspot maps at 1km resolution from the species groups (i.e. maps for bird groups, such as geese and swans, not at the individual species level) and for those agreed single species layers highlighted in Appendix 3, to help guide the measures under ACRES (Agri Climate Rural Environment scheme). 3.5 The sharing of 1km resolution hotspot maps by BWI to DAFM, for those groups/species highlighted in Appendix 3, is permitted under the updated terms of this agreement subject to the following conditions: 3.5.1 These data will be shared, securely (see Section 11), on the DAFM in-house IT system, ONLY to those users specified under 3.5.2 below and on the understanding that these data are treated as highly sensitive and confidential in nature by ALL users, and are not to be shared with any third party. 3.5.2 DAFM users with access to those hotspot and single species 1km layers listed in Appendix 3 include the following: i) DAFM staff (inclusive of inspectorate and admin), ii) Cooperative Team staff as defined for ACRES Cooperative approach iii) Approved FAS advisors. 3.6 The publicly available maps generated by the BWI Farmland Bird Hotspot Mapping Project will be shareable (at the resolution agreed under 3.3) in static and interactive forms. Maps will be provided to NPWS/DHLGH by BWI in advance of being shared or being made public.