Further Research Clause Samples
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Further Research. (a) Investigators shall be free at any time to seek and accept funding for any research in the Field, from any state or federal agency, private or public foundation except foundations owned or operated by a commercial entity other than Palomar (“Non-Profit Sponsored Study”). In the event that during the term of this Agreement an Investigator makes an invention in the Field and in the performance of any Non-Profit Funded Study, General agrees to give Palomar prompt notice of said invention and to give Palomar an opportunity to negotiate an exclusive license under General’s rights in said invention assigned to General by an Investigator, it being understood that General shall have no obligation to enter into such a license with Palomar.
(b) In the event that an Investigator during the term of this Agreement or for six (6) months thereafter wishes to seek funding from any for profit entity for additional research in the Field (it being understood that for funding sought during the term of this Agreement or any extension hereof such additional research will be research other than that which is described in the study protocols appended hereto as Schedule A), said Investigator shall do so in accordance with this paragraph. The Investigator shall submit to Palomar a description of such additional research and a budget of the costs to be funded by Palomar and a schedule of payment of such costs. Unless the parties shall otherwise agree in writing, negotiations between them over any such proposal shall not extend beyond the sixtieth (60) day next following the date when the proposal shall have first been so made.
(c) Whenever such negotiations shall end without agreement between the parties to proceed with the proposed research, the party proposing the additional research may go ahead without the other party and seek funding from any other sponsor including but not limited to a commercial sponsor for such proposal, so long as the subject matter of the proposal is not so closely related scientifically to the Study that sponsorship of such proposal by such other commercial sponsor (i) would in the opinion of General’s Trustee’s Committee on Technology Affairs after consultation with Palomar create a conflict of interest for General or any Investigator performing the Study or (ii) would conflict with the terms and conditions of this Agreement. It is understood that, in the event that General proceeds to seek support from such other commercial sponsor, for a period of ...
Further Research. Several paths for potential future research were identified after the review of the available publishing data. Developing a study to examine the “why” of author uptake and the motivations behind authors’ choice of open access publication would allow us to better understand the demand and impact of this and other agreements. Specifically, a mixed methods study incorporating both quantitative analysis of author and publisher data alongside a qualitative component comprising focus groups and/or survey data would enrich and deepen our understanding. Further exploring author uptake and author choice by academic discipline would be very helpful, both as a contribution to the literature as well as for practical outreach and engagement at Ohio State. Given the publishing portfolio of ▇▇▇▇▇▇ & ▇▇▇▇▇▇▇, with wide and deep coverage in the humanities and social sciences, we could broaden our understanding of the impact of no-fee open access publishing on subject disciplines that tend not to have sizable grant funding. Interdisciplinarity is a focus of both ▇▇▇▇▇▇ & ▇▇▇▇▇▇▇ and Ohio State researchers, so further analysis of the author data to more fully understand disciplinary use would be an enlightening endeavor. With the addition of new agreements since first starting one with ▇▇▇▇▇▇ & ▇▇▇▇▇▇▇, analyzing this pilot agreement alongside other pilot or initial read and publish agreements could aid in understanding the impact of these kinds of open access agreements at scale. How are funds maximized over time? Can we determine any formulas or rubrics that can aid in both high-level and specific assessment of read and publish agreements? During our pilot implementation and analysis, our realization grew that author payment models can be an equity challenge, with effects beyond our institution. Importantly then, how can we address, measure, and reckon with the equity challenges of open access agreements that rely on author-side payment models, and their global effect?
Further Research. To further validate the derived result of RMB101,555,000, the Independent Valuer has cross-checked it against the estimated valuations derived by a publicly available data source, ▇▇▇▇▇▇▇▇.▇▇ (‘‘Dealroom’’). Dealroom is a global provider of data and intelligence on startups and tech ecosystems since its 2013 foundation. Dealroom has made its proprietary valuation estimates on the above fundraising transactions. Based on available estimates, the average valuation is around RMB126 million, and the median around RMB134 million. The Independent Valuer’s applied such analysis as a sanity check. Next, the Independent Valuer has further intensively evaluated the qualitative similarities between the Target Company and startup companies under the 9 funding rounds in terms of the following three key aspects: business nature, strategic focus and core strength. Company Business Nature Strategic Focus Core Strength Target Company AI-powered automated game development toolkit Integration of generative AI, animation-driven algorithms, and deep control technology to develop a fully automated system Fully automated AIGC solution for commercial-grade game production Qualitative Analysis of 9 Comparable Private Companies 9 Comparable Companies Business Nature Strategic Focus Core Strength 1 Bitmagic Oy (also known as Roleverse) AI-driven game development tools provider Simplifying creation of game environments, characters, and narratives using generative AI Democratizing game development, enabling creativity and faster workflows
Further Research. Further research continues to develop the ESST account in Estonia. This involves improving the methodology to the potential automatization of certain parts of the ESST account. Cooperation with Statistics Netherlands is set to continue – especially on the topic of automatization and switching to R programming language. Some key points for moving forwards are listed below.
Further Research. In relation to further research, three key research areas appear to be relevant. The first is the conditional abductive reasoning automation of Proactive Data on iContracts via the use of the LM within the context of LLM technology. Within this research scope it is possible to examine with a higher degree of certainty whether intuition is indeed implementable in the LM and to what extent (hav- ing in mind ▇▇▇ ▇▇▇ ▇▇▇▇▇’s research statement on the possibility of program- ming intuition [▇▇▇ ▇▇▇ ▇▇▇▇▇, 2016]). The second is the quality assessment of LLM-generated contract text via the integration of the Calculemus-Flint Method with the Onassis Ontology. The third is the conducting of experiments to gen- erate data to measure the quantitative value of Proactive Data. Since the quality assessment is higher in order of priority for improving iContracts, our follow- up research will focus on the first of the identified research areas. In relation to the technological pathway forward, decoder only LLM mod- els (such as ▇▇▇▇) are successfully extracting ontologies and other Knowledge- Based Structures (KBS) from (legal) textual documents. State-of-the-art research indicates that such KBS can be used successfully to keep the drafted (legal) text and conversations more factual (e.g. reduce hallucinations significantly) by ei- ther generating background and system prompts from these KBS or to convert components of the KBS or document collections (in combination with search) into vector representations that are merged into the conversational vectors (Re- trieval Augmented Generation). Applying such experiments to derive parts of the Onassis ontology from legal documents or to use the Onassis Ontology to control the drafting or conversations from hallucinating, will help us add value to the validity and impact of our research.
Further Research. Further analysis could also be done with this data to better understand latrine aspects that drive latrine use among men and among women, as drivers of use may vary by gender. Additionally, the level of statistical significance associated with partitioning could be changed to be less conservative. This would result in a much larger tree that may reveal more latrine factors and combinations that are associated with a latrine being in use though large trees become increasingly difficult to interpret. Other opportunities for further research include conducting qualitative or quantitative evaluations on the impact of lights inside of latrines and tiled floors on latrine use. These two improvements were notable in both the multivariate analysis and CIT though there is currently little published research regarding their effects on latrine use.
Further Research. A structural definition of old growth for the Chilcotin must be developed. It needs to include accounting for residual stand structure attributes including single trees, small patches, as well as the medium and large patches that are currently considered to be old forest. Guideline #: SBS/SBPS 22 Management Guideline Title: Old Patch Size Distribution Type: Landscape Level Guideline: Patch size distributions based on age class should be developed, and should be further modeled so a more accurate representation of the range of Natural Variability may be applied to the landscape. Further Research: ▇▇▇▇▇▇▇’ data should be revisited to develop a patch size/frequency distribution of older seral forests. Modelling of age class distributions should be conducted. Modeling should be based on estimations of stand configurations over long periods of time. This will develop a range of values that may occur on the landscape instead of a single snapshot in time that exists in the RNV, but does not describe the full RNV. Patch size distributions should be developed by age class and by groups of age classes (i.e. > 250 yrs, > 140 yrs, >100 yrs). Guideline #: SBS/SBPS 23 Management Guideline Title: Growth and yield. Type: Administrative Research Finding: Implementation of various forest practices will have growth and yield implications. These implications may increase or decrease the range of options available to forest managers. Support: Strong.
Further Research. None. No discussion of the location of residual patches within the burn matrix was undertaken by ▇▇▇▇▇▇▇ et al. Andison (Quick Note #10) indicates that both islands (wholly located within the opening and matrix residuals (existing primarily within the opening but attached to the edge) are evident in boreal fires. Guideline # SBS/SBPS 5 Management Guideline Title: Fire remnants Type: Landscape Research Finding: Island remnants both wholly located within the opening as well as remnants existing primarily within the opening but attached to the edge are evident in boreal fires. Support: Moderately supported.
Further Research. The data collected only identified whether or not a contract had the ‘intention’ of providing social value. This leaves potential for a qualitative line of research to determine whether those projects that had intended on providing social value did or failed in doing so.
Further Research. After the project is completed, it is intended that the public publications be made available as downloads on a dedicated website and through scientific search engines. Their long-term open availability assures that project results are easily accessible to other scientists and researchers, and that the project outcomes serve as the foundation for future top-level stream link research. To get the most out of the results, project partners can dig deeper into the subject and contribute to the research line, or as previously mentioned, engage in knowledge transfer activities. National and European funds are available to assist the continuation of successful project research lines by funding Ph.D. and postdoc positions. Educational material: Universities can use the knowledge acquired from the project as course material for the existing programs and subjects or can develop new courses (e.g., specialized master classes, new subjects within existing programs) or educational programs (e.g., specialized master programs, summer/winter schools).