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BOSTON--(BUSINESS WIRE)--State Street Corporation (NYSE:STT) and TruValue Labs, a provider of artificial intelligence-driven environmental, social and governance (ESG) data, today announced an agreement to promote the adoption of industry-standard ESG data produced according to the Sustainability Accounting Standards Board (SASB) framework. TruValue Labs leverages artificial intelligence to review thousands of information sources each day and provide signals founded on real-time sustainability data analytics to investors, financial institutions and corporations. As part of the agreement, State Street will gain access to one of TruValue Labs’ ESG signals, based on SASB’s industry-leading materiality framework, which identifies sustainability issues at the industry level. According to a recent study of both retail and institutional investors from State Street’s Center for Applied Research, 60 percent of respondents note a lack of industry standards for measuring ESG performance as a significant barrier to full integration[1]. Additionally, benchmarking is also seen as one of the greatest challenges, as more than half of respondents say they find it difficult to benchmark performance against peers.[2] “Successful ESG investing is not possible without full data transparency into companies’ non-financial factors,” said John Plansky, global head of State Street Global Exchange. “State Street is committed to delivering timely and consistent ESG data and insights to our clients. This partnership with TruValue Labs is the next step in helping investors factor sustainability-related impacts when making decisions.” In addition to leveraging SASB’s framework, State Street and TruValue Labs plan to collaborate on research and the development of new products and solutions that will ultimately provide investors with the tools they need to further integrate key sustainability insights into their decision making processes. “We’re thrilled to partner with one of the world’s leading financial services providers,” said Hendrik Bartel, CEO and co-founder of San Francisco-based TruValue Labs. “This will give State Street clients the ability to use the SASB framework in decision making.” “State Street and TruValue Labs are united by a mission of improving the transparency and availability of data that will allow investment professionals to meaningfully analyze risk and identify opportunities that can be found beyond compulsory financial fillings,” said Mark McDivitt, head of ESG Solutions at State Street Global Exchange. "Sustainability issues impact financial performance in specific ways that vary by topic and industry," said SASB Director of Capital Markets Policy & Outreach Janine Guillot. "Today’s announcement will help the investment industry begin to compare company performance on material sustainability topics in the context of industry characteristics and value drivers." State Street Corporation (NYSE: STT) is one of the world's leading providers of financial services to institutional investors including investment servicing, investment management and investment research and trading. With $29.83 trillion in assets under custody and administration and over $2 trillion* in assets under management as of March 31, 2017, State Street operates globally in more than 100 geographic markets and employs 34,817 worldwide. For more information, visit State Street's website at *Assets under management were $2.56 trillion as of March 31, 2017. AUM reflects approx. $33.33 billion (as of March 31, 2017) with respect to which State Street Global Advisors Funds Distributors, LLC (SSGA FD) serves as marketing agent; SSGA FD and State Street Global Advisors are affiliated. TruValue Labs is a data and risk analytics company which provides objective, timely, and alternative data sets that reveal intangible value by leveraging artificial intelligence. The core technology is the flexible InsightEngine,™ which captures extra-financial signals from unstructured data with a focus on Environmental, Social, and Governance (ESG) criteria. TruValue Labs delivers increased transparency to financial markets by providing analytics that go beyond traditional fundamentals, offering SaaS-based platforms, as well as state-of-the art API’s that allow for easy integration. [1] The study is based on a global survey of 582 institutional investors who are, or plan to, implement environment, social and governance (ESG) into their investment process and 750 individual ESG and non-ESG investors. [2] The study is based on a global survey of 582 institutional investors who are, or plan to, implement environment, social and governance (ESG) into their investment process and 750 individual ESG and non-ESG investors.

News Article | August 3, 2017

BMO Financial Group was selected as the 2017 award recipient from a ranking of approximately 5,000 companies. The award highlighted that BMO's high ESG (Environmental, Social and Governance) scores place it above all other ranked companies across all industry groups in the United States and Canada and the highest ranked in the financial sector worldwide. "As a financial institution that has attained and maintained carbon neutrality across its enterprise since 2010, achieved a goal of 40 per cent representation of women in senior leader roles, and has a 30-year track record in responsible investment according to their December 2016 accounting, BMO Financial Group gives evidences of a consistent application of best practices in ESG areas," said Gregg Sgambati, Director of ESG Solutions at S-Network Global Indexes, Inc. "We're honoured to be ranked number one among all industry groups in North America," said Simon Fish, General Counsel for BMO Financial Group, and Chair of BMO's Sustainability Council. "In 2017, BMO proudly celebrates 200 years in business. As we continue to pursue sustainable growth, we will aim to uphold our legacy of trust as a responsibly managed bank." Previous recipients of the award include Praxair in 2016, Johnson & Johnson in 2015, Intel in 2014 and Unilever in 2013. For more information on BMO's ESG activities, please read our Environmental, Social and Governance Report at: About BMO Financial Group Established in 1817, and currently marking its 200th year of operations, BMO Financial Group is a highly diversified financial services provider based in North America. With total assets of $719 billion as of April 30, 2017, and more than 45,000 employees, BMO provides a broad range of personal and commercial banking, wealth management and investment banking products and services to more than 12 million customers and conducts business through three operating groups: Personal and Commercial Banking, Wealth Management and BMO Capital Markets. About S-Network Global Indexes, Inc. S-Network Global Indexes, Inc. is a publisher and developer of proprietary and custom indexes. Founded in 1997, S-Network publishes over 200 indexes, which serve as the underlying portfolios for financial products with over USD 5 billion in assets under management. S-Network indexes, which are supported by a state-of-the-art technology platform, are known for their transparency and efficiency. S-Network is a leader in socially responsible investment, publishing best-practice benchmark indexes in collaboration with Thomson Reuters. S-Network published the first global alternative energy and water indexes, which today serve as the recognized benchmarks for those sectors worldwide. In addition to publishing socially responsible indexes, S-Network produces proprietary environmental, social and governance ratings on nearly 5,000 public companies worldwide.

News Article | August 8, 2017

Today much of ESG data is derived from company-provided materials – taking an inside-out perspective on ESG, focused on what companies disclose. TruValue Labs takes an outside-in perspective – capturing the widest variety of perspectives available on companies' ESG performance. Why ESG Momentum™ matters for the investment industry Research studies show a correlation between ESG momentum and investment performance. Furthermore, the studies found that improvements in sustainability are often a better indicator of future success than a company's current ESG scorei,ii. TruValue Labs' Insight360™ suite of products now includes an ESG Momentum Score™, which quantifies the positive or negative ESG momentum of a company. In addition to an ESG Momentum Score and a timely Pulse Score™, which charts ESG activity as events happen, the Insight360 platform includes a longer-term measure of ESG performance called the Insight Score™, which is suitable for portfolio and index construction. All three scores enable a range of investment strategies, leveraging artificial intelligence to analyze the massive volume of publicly available data on companies. Unlike annually produced ESG ratings, TruValue Labs' scores incorporate events as they occur. "When it comes to ESG, investment professionals need more than ratings based on annual, company self-reported information—they require timely data from an external, objective perspective that we call 'ESG2.0,'" said Hendrik Bartel, CEO and co-founder of TruValue Labs. "This next-gen ESG data incorporates events around the clock, with scores that demonstrate how company performance is changing over time." "TruValue Labs' new Insight and Momentum scores, built using the SASB materiality framework, will further the mission of improving the availability and transparency of ESG data and support decision making for a broad spectrum of investment strategies," said Mark McDivitt, head of ESG Solutions at State Street Global Exchange. TruValue Labs is the first company to apply artificial intelligence (AI) to uncover timely Environmental, Social, and Governance (ESG) data on a variety of asset classes. The company's mission is to deliver increased transparency to investment professionals by providing data and analytics that go beyond traditional fundamentals. The flagship product, Insight360™, delivers timely and investable insights by revealing intangible value and risk factors from unstructured data. Visit to learn more about the SaaS and API products. iNN Investment Partners. (2016.) The materiality of ESG factors for equity investment decisions: academic evidence. Available on request from NNIP iiThornburg Investment Management. (2016.)  ESG Momentum Stocks: Sustainable Investing's Diamonds in the Rough. Retrieved from

News Article | August 17, 2017

In "Market Guide for Security Threat Intelligence Products and Services," published 20 July 2017 by Craig Lawson and Khushbu Pratap, EclecticIQ Fusion Center was named as an example of Threat Intelligence Sharing; and as an example of "Security Technology Telemetry Enrichment," in which machine-readable threat intelligence (MRTI) extends existing products and services. EclecticIQ Fusion Center enables organizations to acquire thematic bundles of threat intelligence, thereby giving the freedom to re-align source portfolio when needs change. It fuses open-, community- and commercial sources into a unified delivery model that includes qualification, unified tagging, relevancy determination and multi-format delivery. In "Competitive Landscape: Threat Intelligence Services, Worldwide, 2017," published 26 July 2017 by Ruggero Contu and Lawrence Pingree, EclecticIQ Platform was cited as a Threat Intelligence Platform (TIP). EclecticIQ Platform delivers analyst-centric technology to consolidate, analyze, manage, action, and disseminate intelligence and reports. Also in the report, Gartner expects the standardization of MRTI to increase, through the adoption of standards including STIX and TAXII. The authors write: "Until now, the lack of commonly adopted standards has inhibited the development of closer technology interchanges between providers of threat feeds and leveraging such data by different security providers, such as firewall and security information and event management (SIEM) vendors." Additionally, ESG Solutions Showcase "Toward a Holistic Cyber Threat Intelligence (CTI) Program" Augustus 2017 by Jon Oltsik was published, citing both EclecticIQ Platform and EclecticIQ Fusion Center. Download the full report here (no subscription required) EclecticIQ helps organizations to turn cyber threat intelligence into business value through products built for cyber security professionals in threat intelligence, threat hunting, SOC, and Incident Response. EclecticIQ Platform is the analyst-centric threat intelligence platform based on STIX/TAXII that meets the full spectrum of intelligence needs. EclecticIQ Fusion Center enables the acquisition of thematic bundles of cyber threat intelligence from leading suppliers with a single contract. The company won Deloitte's Technology FAST50 Rising Star Award for "Most Disruptive Innovator". EclecticIQ is headquartered in Amsterdam, The Netherlands.

"We are pleased to co-author a paper at the SEG Annual Meeting with a recent client that shows some very promising results in terms of producing volumes and hydraulic fracturing," says Brad Birkelo, Executive Vice President of Surface and Seismic Monitoring at Spectraseis.  "We are looking forward to building on this work through close collaboration with other operators, helping them to maximize the returns on monitoring investments as the surface microseismic market continues to recover in the coming year." In addition to showcasing its surface microseismic solutions, Spectraseis will also be demonstrating its capabilities in Interactive Seismicity Monitoring (ISM) for disposal well and hydraulic fracturing applications.  "Operators in seismically active areas are very interested in taking a proactive approach to protect their operations," says Marc Lambert, Principal Geophysicist at Spectraseis.  "Having real-time access to reliable seismic data is critical to operators who want to understand the nature of seismicity in their area."  In many cases, regional seismic networks deployed by regulatory groups may not have the resolution that operators are looking for, so deploying a local seismic array to provide a greater level of detail across their acreage is an appealing option.  "We're seeing an increasing trend in seismically active regions where neighbouring operators join forces to deploy a larger array spanning multiple properties, and the type of analysis we're able to perform on these networks is really quite exciting," says Lambert. In addition, ESG's CTO Dr. Ted Urbancic will also be a keynote speaker during a post-convention workshop focusing on advanced microseismic analysis.  "This workshop will be a great opportunity for valuable discussion surrounding the benefits of microseismic analysis beyond the typical level of interpretation that operators obtain from a microseismic program," says Urbancic.  "There's really a lot of potential value we can extract from microseismic data to help operators understand and predict production from unconventional wells, and we're looking forward to sharing our ideas with colleagues in the industry." To learn more about microseismic and seismic monitoring capabilities for oil and gas applications visit Spectraseis and ESG in Houston, Texas from September 24-27 at SEG Exhibition booth #718. Founded in 2004, Spectraseis is a leading provider of surface-based microseismic sensing technology for hydraulic fracture monitoring ("HFM"), stimulation evaluation and seismicity monitoring.  Spectraseis is a part of ESG Solutions, a leading provider of innovative microseismic solutions for the oil and gas, mining, and geotechnical industries for nearly 25 years.  ESG Solutions is headquartered in Kingston (Canada), with operations in Houston, Denver and Calgary and sales offices in Dallas, Beijing, Perth and Dubai.  For more information, visit Spectris plc is a leading supplier of productivity-enhancing instrumentation and controls. Headquartered in Egham, Surrey, United Kingdom, the Company employs over 9,000 people with offices in more than 30 countries. For more information, visit

Yousef B.M.,University of Leeds | Angus D.A.,ESG Solutions
Studia Geophysica et Geodaetica | Year: 2017

Fractures are pervasive features within the Earth’s crust and have a significant influence on the multi-physical response of the subsurface. The presence of coherent fracture sets often leads to observable seismic scattering enabling seismic techniques to remotely locate and characterise fracture systems. In this study, we confirm the general scale-dependence of seismic scattering and provide new results specific to shear-wave propagation. We do this by generating full waveform synthetics using finite-difference wave simulation within an isotropic background model containing explicit fractures. By considering a suite of fracture models having variable fracture density and fracture size, we examine the widening effect of wavelets due to scattering within a fractured medium by using several different approaches, such as root-mean-square envelope analysis, shear-wave polarisation distortion, differential attenuation analysis and peak frequency shifting. The analysis allows us to assess the scattering behavior of parametrised models in which the propagation direction is either normal or parallel to the fracture surfaces. The quantitative measures show strong observable deviations for fractures size on the order of or greater than the dominant seismic wavelength within the Mie and geometric scattering regime for both propagation normal and parallel to fracture strike. The results suggest that strong scattering is symptomatic of fractures having size on the same order of the probing seismic wave. © 2017 Institute of Geophysics of the ASCR, v.v.i

Yousef B.M.,University of Leeds | Almarzooq H.,University of Leeds | Angus D.A.,ESG Solutions | Hildyard M.W.,University of Leeds
Tectonophysics | Year: 2017

Fractures are pervasive features within the Earth's crust and they have a significant influence on the multi-physical response of the subsurface. The presence of coherent fracture sets often leads to observable seismic anisotropy enabling seismic techniques to remotely locate and characterise fracture systems. Since fractures play a critical role in the geomechanical and fluid-flow response, there has been significant interest in quantitatively imaging in situ fractures for improved hydro-mechanical modelling. In this study we assess the robustness of inverting for fracture properties using shear-wave splitting measurements. We show that it is feasible to invert shear-wave splitting measurements to quantitatively estimate fracture strike and fracture density assuming an effective medium fracture model. Although the SWS results themselves are diagnostic of fracturing, the fracture inversion allows placing constraints on the physical properties of the fracture system. For the single seismic source case and optimum receiver array geometry, the inversion for strike has average errors of between 11° and 25°, whereas for density has average errors between 65% and 80% for the single fracture set and 30% and 90% for the double fracture sets. For real microseismic datasets, the range in magnitude of microseismicity (i.e., frequency content), spatial distribution and variable source mechanisms suggests that the inversion of fracture properties from SWS measurements is feasible. © 2017 Elsevier B.V.

Jechumtalova Z.,Academy of Sciences of the Czech Republic | Sileny J.,Academy of Sciences of the Czech Republic | Trifu C.-I.,ESG Solutions
Geophysical Journal International | Year: 2014

The resolution of event mechanism is investigated in terms of the unconstrained moment tensor (MT) source model and the shear-tensile crack (STC) source model representing a slip along the fault with an off-plane component. Data are simulated as recorded by the actual seismic array installed at Ocnele Mari (Romania), where sensors are placed in shallow boreholes. Noise is included as superimposed on synthetic data, and the analysis explores how the results are influenced (i) by data recorded by the complete seismic array compared to that provided by the subarray of surface sensors, (ii) by using three-or one-component sensors and (iii) by inverting P-and S-wave amplitudes versus P-wave amplitudes only. The orientation of the pure shear fracture component is resolved almost always well. On the other hand, the noise increase distorts the non-double-couple components (non-DC) of the MT unless a highquality data set is available. The STC source model yields considerably less spurious non-shear fracture components. Incorporating recordings at deeper sensors in addition to those obtained from the surface ones allows for the processing of noisier data. Performance of the network equipped with three-component sensors is only slightly better than that with uniaxial sensors. Inverting both P-and S-wave amplitudes compared to the inversion of P-wave amplitudes only markedly improves the resolution of the orientation of the source mechanism. Comparison of the inversion results for the two alternative source models permits the assessment of the reliability of non-shear components retrieved. As example, the approach is investigated on three microseismic events occurred at Ocnele Mari, where both large and small non-DC components were found. The analysis confirms a tensile fracturing for two of these events, and a shear slip for the third. © The Authors 2014. Published by Oxford University Press on behalf of The Royal Astronomical Society.

Leslie I.,ESG Solutions
Mining Magazine | Year: 2013

As the depths of open-pit operations continue to increase, stresses within and beneath pit walls can cause considerable instability on slope surfaces. Monitoring systems represent an essential tool to mitigate economic and safety risk associated with slope failure. Despite the fact that seismic monitoring of underground mines is well established, the application of this technology to monitor open-pit mines is relatively recent. The knowledge of seismicity behind pit walls offers engineers an excellent opportunity to evaluate rock-mass behaviour, track fracture propagation and potentially predict slope stability issues before they manifest on the surface. Natural expansion of microseismic systems can be used to aid the transition from large open-pit operations to underground mass mining, during which considerable seismicity is expected.

HOUSTON, Nov. 29, 2016 /PRNewswire/ -- ESG Solutions, an industry leader in microseismic technology and services, is pleased to welcome the technical expertise of Eric von Lunen as Senior Advisor, Reservoir and Rock Mass Characterization and Dr. Doug Angus as Advisor, Geomechanics to...

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