Page 1,759«..1020..1,7581,7591,7601,761..1,7701,780..»

Crunching the Numbers with Data Science | Around the O – AroundtheO

Last year, University of Oregon researchers studied one aspect of the COVID-19 pandemics disproportionately high impact on Latinx people: participation in testing. They found that combining culturally informed outreach with well-located community testing sites tripled turnout.

The projects success was driven by a university-wide collaboration that included data scientists from the UOs Presidential Initiative in Data Science.

Data science is the sophisticated analysis of massive, complicated data sets. The fieldwhich draws from mathematics, statistics, computer science, and moreis increasingly essential across industry, from auto production to medicine to banking.

In 2018, the UO officially prioritized data science with the launch of the Data Science Initiative, driving improvement and expansion of data science efforts in support of undergraduate and graduate education and university research.

Then came the pandemicand the UO responded by tapping its data science expertise to serve the general public, as well.

In spring 2020, the university launched the COVID-19 Monitoring and Assessment Program (MAP), expanding the UOs testing capacity for the coronavirus and making testing available to anyone in Lane County. More than 260,000 tests were provided through August 2022.

Parts of the program rely on UO experts in genomics, prevention science, and other areas. Data scientists solve the information challengesthat is, processing each patients information and lab results, reporting this info to patients and health agencies across Oregon, and analyzing virus trends to inform response.

The creation of information systems for such a sweeping program could reasonably take months, say Emily Beck and Jake Searcy, assistant research professors of data science. But due to the urgency of the pandemic, the public service was successfully launched through the university in just weeks.

Beck and Searcy exemplify the applicability of data science across fields. Beck, who has expertise in evolutionary genomics and a PhD from the University of Iowa, works with researchers to apply data science to biological problems. Searcy, who graduated from the UO in 2012 with a PhD in high-energy particle physics, worked in artificial intelligence for Ford Motor Company before returning to the UO to expand the ability of researchers to use AI. Both realized quickly that their ability to manage data would help provide the very backbone of a countywide coronavirus testing system run through the university.

Says Beck: Everything from data organization to file structure to building reproducible information-gathering processesthe types of things you dont even think of as skills because youre so used to doing them as a data scientist were desperately needed.

To study ways to increase testing by Latinx groups, researchers developed a grant proposal that won support from the National Institutes of Health RADx UP program, which supports response to the pandemic in underrepresented populations.

The team was led by Dave DeGarmo, research professor of prevention science; Leslie Leve, Lorry Lokey Chair in Education and professor of prevention science; and Bill Cresko, Lorry Lokey Chair in Science and professor of biology. Working with community partners, researchers set up testing at sites across Oregon and developed ways to ensure patient data gathered onsite was transferred to the testing lab on campus.

In assessing the impact of culturally informed outreach efforts, data scientists integrated testing results with surveys on patient participation and residence. They also tabulated statistics for the Latinx patient group as a whole and subpopulations across the nine counties in the study.

Data scientists created a computer algorithm to recommend locations for testing sites based on the number of Latinx people in the area. But the project was ultimately successful, Searcy says, because researchers also listened to community input on important parts of the study, including the location of testing sites.

It wasnt Heres this algorithm with the right answer, Searcy says. It was, Heres an interesting idea that came from this algorithm. Whats the right thing for your community?

By Matt Cooper, managing editor,Oregon Quarterly

Photo by Eliza Loera

Read the original here:

Crunching the Numbers with Data Science | Around the O - AroundtheO

Read More..

GoGuardian Adds LinkedIn Executive Ya Xu to Board of Directors – PR Newswire

An Industry Leader in Data Science, AI, and Engineering, Ya Xu's Appointment Furthers GoGuardian's Mission to Build Effective and Equitable Learning Solutions

LOS ANGELES, Oct. 6, 2022 /PRNewswire/ -- GoGuardian, the leading education technology company providing simple, proven solutions to create effective, engaging, and safer learning environments, today announced the addition of Ya Xu, an industry-leading expert on data science, to its board of directors. Ya currently serves as Vice President of Engineering and Head of Data and AI at LinkedIn, the world's largest professional network.

The use of data in education has opened up new frontiers for personalized learning, adaptive instruction, and intelligent systems that support and accelerate education outcomes. Ya brings deep expertise in data science to the board of directors, helping GoGuardian better deliver ethical, data-driven educational technologies that benefit students, educators, and society as a whole.

"Education is at a critical inflection point. Schools have returned to normalcy, yet many students are struggling to catch up with pandemic-related unfinished learning," said Advait Shinde, co-founder and CEO, GoGuardian. "Data science is integral to delivering personalized, scalable solutions to help educators meet students where they are. We're thrilled to have Ya, one of the world's leading data science experts, join our board of directors at such an important time."

GoGuardian's solutions that utilize data-driven machine learning include GoGuardian Admin, which blocks harmful, inappropriate, or distracting content on school-issued devices; GoGuardian Beacon, a student safety solution that analyzes online activity for signs that students may need mental health resources; and TutorMe, an on-demand online education platform that uses data science to match students with the best online tutors in under 30 seconds. The company's data-centric research and development will continue to grow as GoGuardian pursues its mission to build the ultimate learning platform.

"GoGuardian is a profoundly mission-driven and innovative company that aligns with my passion for technology as well as my desire to create true, positive impact in our world," said Ya. "We're only beginning to realize the potential for data science in education, and I'm excited to work with GoGuardian to continue delivering ethically designed, outcome-oriented, and equitable innovation in the classroom."

Ya currently leads a global team of approximately 1,000 data scientists and engineers focused on delivering economic opportunity to LinkedIn's members and customers. Since joining the company in 2013, her leadership has been a driving force in transforming LinkedIn into a data-first company.

Ya is also the co-author of Trustworthy Online Controlled Experiments, a book about how best to accelerate online innovation. She was spotlighted in Fortune's 2020 class of 40 Under 40in Technology and nominated for VentureBeat's 2020 Women in AI Awards. Prior to working at LinkedIn, she worked as an applied researcher at Microsoft and received a Ph.D. in Statistics from Stanford University.

Ya will be GoGuardian's eighth board member, joining Advait Shinde, CEO; George Kadifa, Sanjeet Mitra, and Jack McCabe, Sumeru principals; Elisa Villanueva Beard, CEO of Teach For America; Tony Miller, technology executive and former Deputy Secretary of the U.S. Department of Education; and Julie Larson-Green, former Microsoft and Qualtrics executive now serving as CTO of augmented reality innovator Magic Leap.

About GoGuardianGoGuardian provides simple, proven solutions to help create effective, engaging, and safer learning environments. Our award-winning system of learning tools is purpose-built for K-12 and trusted by school leaders to promote effective teaching and equitable engagement while empowering educators to help keep students safe. Learn more at goguardian.com.

Contact[emailprotected]

SOURCE GoGuardian

Read more here:

GoGuardian Adds LinkedIn Executive Ya Xu to Board of Directors - PR Newswire

Read More..

Analytics and Data Science News for the Week of September 30; Updates from DataRobot, SAS Software, Vyasa, and More – Solutions Review

The editors at Solutions Review have curated this list of the most noteworthy analytics and data science news items for the week of September 30, 2022.

Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last month, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science news items.

DataRobot Dedicated Managed AI Cloud builds on a decade of experience driving business-critical AI/ML projects for hundreds of customers across on-premises, virtual private cloud, public cloud, and in DataRobot multi-tenant SaaS deployments. This new offering extends the full functionality of the AI Cloud to provide a dedicated managed instance of the DataRobot platform running for each customer in the cloud.

Read on for more.

Count is a hyper-collaborative data platform that is putting collaboration and problem-solving at the heart of data analysis. Its flagship product canvas is an all-in-one data analysis and contextualization platform that helps teams join forces during the entire analytics workflow, accelerating data-driven decision-making across the whole business.

Read on for more.

The release includes enhanced Windows Narrator support for the new Windows OS (Operating Systems) and Windows Server, security enhancements, browser performance improvements with Angular, accessibility bug fixes, support for SQL Server 2022 (16.x) Preview instances report server catalog and feature updates.

Read on for more.

First is the launch of the Databricks Lakehouse (Delta) Endpoint, a new capability inQlik Data Integration, which will simplify and improve customers ability to ingest and deliver data to the Databricks Lakehouse. Second is the integration of Qlik Cloud with DatabricksPartner Connect, enhancing theQlik Data Analyticstrial experience with Databricks. Both deepen and expand the ability of customers to combine Qlik and Databricks in their efforts to leverage the cloud for impact.

Read on for more.

The SAS Viyaanalytics platform is now available in the Microsoft Azure Marketplace with the click of a button on a pay-as-you-go basis. Full-featured SAS Viya on Microsoft Azureequips customers worldwide with access to essential data exploration, machine learning, and model deployment analytics. Its available in many translated languages and includes an extensive in-app learning center to support immediate onboarding and long-term success.

Read on for more.

Featuring an intuitive design, Signal enables users to monitor trends and identify anomalies in theirLayar data fabric through highly-visual charts and graphs, delivered in a single dashboard. Signal is the latest application interface developed by Vyasa to make this data easy to analyze in low code.

Read on for more.

For consideration in future analytics and data science news roundups, send your announcements to the editor: tking@solutionsreview.com.

Whether you are a data analyst looking to communicate more effectively, or a business leader looking to build data literacy, you will finish this program able to use data effectively in visual stories and presentations. This training will teach you to combine data, visuals, and narratives to tell impactful stories and make data-driven decisions. It should take roughly 4 months to finish at 10 hours per-week.

View training.

Tim is Solutions Review's Editorial Director and leads coverage on big data, business intelligence, and data analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 "Who's Who" in data management and data integration, Tim is a recognized influencer and thought leader in enterprise business software. Reach him via tking at solutionsreview dot com.

Visit link:

Analytics and Data Science News for the Week of September 30; Updates from DataRobot, SAS Software, Vyasa, and More - Solutions Review

Read More..

Construction starting on applied sciences building @theU – @theU

Construction is about to begin on the University of Utahs new Applied Sciences facility. The project will restore and renovate the historic William Stewart building and construct an addition to the building on the west side, adjacent to University Street. Construction will start in early October.

This important project will provide new and updated space to serve the University of Utahs educational and research mission. It will serve as the new home for the Departments of Physics & Astronomy and Atmospheric Sciences, focusing on aerospace, semiconductor technology, biotechnology, data science, hazardous weather forecasting, and air quality. Together, the two departments teach more than 5,600 students. See why the University of Utah College of Science is so excited about launching this project.

New construction will provide a 56 percent increase in experimental and computer lab capacity. There will be 40,700 square feet of renovated space in the historic Stewart Building and a 100,00 square foot new addition. The project will preserve and restore the historic character of the William Stewart Building while introducing a modern yet complementary design for the new addition. The new buildings exterior finishes will resemble the latest addition to the Crocker Science building next door.

Tree protection plans are in place, and the project team has taken steps to ensure the safety and preservation of Cottamss Gulch, which will remain open and accessible during construction. In addition, the project team is working with Simmons Pioneer Memorial Theater leadership to ensure construction does not affect theater activities.

The traffic and pedestrian map is available on the Applied Sciences building construction project website.

Go here to read the rest:

Construction starting on applied sciences building @theU - @theU

Read More..

Brown computer scientist aims to protect people in an age of artificial intelligence – Brown University

On the occasion of the AI Bill of Rights announcement, Venkatasubramanian, who is deputy director of Browns Data Science Initiative, shared insights and perspectives on his stint at the White House, his humanistic approach to computer science, and what he looks forward to accomplishing at Brown in the years to come.

We recognize that there are a lot of potential benefits from automation and data-driven technology all these promises of what could be. But we also see that the promises often tend not to pay out. For example, we can try to build an AI system to make sure we cant discriminate in the criminal justice system, but systems that suck up data from previous arrests are irrevocably tainted by the history of racial injustice in the criminal justice system. And then implemented at scale, this taint spreads. All data thats fed into a system is just going to amplify biases in the data, unless there are rigorous and carefully designed guardrails.

These technological systems impact our civil rights and civil liberties with respect to everything: credit, the opportunity to get approved for a mortgage and own land, child welfare, access to benefits, getting hired for jobs all opportunities for advancement. Where we put these systems in place, we need to make sure theyre consistent with the values we believe they should have, and that theyre built in ways that are transparent and accountable to the public. Its not something we can slap on after the fact.

I have been studying these issues for almost a decade, thinking about whats coming next and what the world will look like when algorithms are ubiquitous. Ten years ago, one concern I thought we were likely to have was whether we can trust these systems to work the way theyre supposed to, and how we know these systems are accountable to the public and our representatives.

Whether you like it or not, the technology is here, and its already affecting everything that shapes you. You are without your knowledge adapting how you live and function to make yourself more readable to technology. You are making yourself machine-readable, rather than making machines human-readable. If we dont pay attention to this, the technology will be driving how we live as a society rather than society making technology that helps us flourish and be our true selves. I dont like to frighten people, but its true and its important.

Neither, really. Its not the technology thats good or bad, AI or not. Its the impact the harms that we should be concerned about. An Excel spreadsheet that produces a score that confines someone to detention before standing trial is as bad as a sophisticated AI system that does the same thing. And a deep learning algorithm that can help with improving crop yields is amazing and wonderful. Thats why the AI Bill of Rights focuses on impact on peoples rights, opportunities and access to services rather than the technology itself, which changes and evolves rapidly.

Think about prescription drugs, for example. You dont have to worry that the drug youre taking has not been tested, because the FDA wont let it come onto the market until its gone through rigorous testing. Similarly, were confident that our cars will work and that regular recalls happen whenever the National Highway Traffic Safety Administration discovers a problem; and were confident that our planes work and that every new kind of jet goes through rigorous testing before being flown. We have many examples to draw from where we dont let new technology be used on people without checking it first. We can look to that as a guide for what we think is important, and technology affects everyone.

This AI Bill of Rights is a blueprint that goes beyond principles. It provides actionable advice to developers, to civil society, to advocates, to corporations, to local governments and to state governments. There are various levers to advance it: regulation, industry practices, guidance on what governments will or wont build. There is no silver bullet here, but all the levers are within reach. It will take the whole of society to advance this work.

It was life altering. My brain now works in ways I cannot and dont want to undo. Im constantly thinking about the bridges between research and innovation, society and policy. As a country and as researchers, were still coming to terms with this. For a long time, weve thought of technology as a thing we use to make life better. But were not as familiar with technology as a thing that changes our world. Trying to make policy for an entire country and in some ways, the entire world, because the U.S. is a leader is challenging because there are so many competing interests that you must balance.

In my time in government, I was impressed by how complex and subtly these issues unfold in different domains what makes sense when thinking about health diagnostic tools doesnt really work if youre thinking about tools used in the courtroom. I have a deeper appreciation for how many dedicated people there are within government who want to make a difference and need help and bandwidth to do it.

One thing that Ive realized in the years Ive spent working in policy spaces is that its critical to help policymakers understand that technology is not a black box its malleable and evolving, and it helps shape policy in ways that we might not expect. Technology design choices are policy choices, in so many ways. Coming to terms with how tech and policy influence each other requires a lot of education both for technologists and for policymakers.

I cannot think of a better place than Brown that embodies the values of transdisciplinarity and scholarship in service of the public good. In my years studying the impact of data-driven technology on people and communities, Ive learned the critical importance of bringing a variety of perspectives to bear on any specific problem. Technologists cannot alone solve problems caused by the clash of tech and society, but neither can any other group of thinkers and actors.

The Brown campus ethos is incredibly cooperative, and its deeply embedded with a commitment and passion to public service among the students, faculty and administration. As my colleagues and I at the Data Science Initiative work toward building a new center that will focus on tech responsibility, Im focused on the mission of redefining how we design technology and teach it to center the needs, problems and aspirations of all especially those that technology has left behind.

Im convinced that we have the creativity and the tools to build tech that helps us flourish and helps all of us benefit from the advancements in tech. In order to do this, we have to bring together all the amazing ideas from engineering, public health, medicine, the social sciences, the humanities, policy leaders and technologists. Im committed to encouraging and contributing to that ongoing vibrant dialog on campus and creating a transdisciplinary home where we can come together to solve problems and solve them well.

More here:

Brown computer scientist aims to protect people in an age of artificial intelligence - Brown University

Read More..

Efforts To Understand People and Communities In The Digital Age Varies Significantly Globally – Business Wire

NEW YORK--(BUSINESS WIRE)--Efforts to understand how the Internet and technology are changing the human experience varies widely across the globe, potentially impacting the ability of public and private sector decision makers to develop policies, technologies and solutions that are more human-centered, ethical and inclusive.

A report, issued today by UNESCO, the United Nations Educational, Scientific and Cultural Organization, and the non-profit LiiV Center, outlines how the emerging field of Digital Anthropology, which looks to gain a better understanding of people and communities in the digital age, is being applied in various regions of the world.

New Horizons in Digital Anthropology is based on in-depth, qualitative research conducted by digital anthropologists in Asian and Pacific States, Latin America and the Caribbean, African and Arab States and European and North American States.

The report is the first global research effort to lay the groundwork for understanding the current state of digital anthropology as a discipline and to consolidate multiple efforts to create a shared understanding. It also outlines the forces that are helping to move forward as well as hinder the development of this field and provides recommendations to accelerate its growth.

Quantitative and economic data alone struggles to make sense of human needs and behaviors, and yet plays a leading role in public policy and decision-making, says Katie Hillier, President and Chief Digital Anthropologist, of the LiiV Center. Anthropology is the study of people and communities - and in the digital age - digital anthropology plays this role. This new field blends human science and data science to understand people and communities at scale and depth - and it will define the next era of innovative human sciences.

The report maps the landscape of innovation in digital anthropology as an approach to ensure a better understanding of how human communities and societies interact, and are shaped by, technologies, and, as a result, how policies can be made more ethical and inclusive.

The research found that digital innovation in this field is growing globally, but is very different across the global north and south given the influence of the digital divide, with innovation happening in the intersection between anthropology and data science.

The report notes that anthropology started to innovate by simply practicing anthropology online - in the form of anthropologists observing people in virtual worlds or spaces. Anthropologists then began joining technology teams to help make tech better - bringing anthropological thinking into the design of digital spaces and tech. But, the report identifies, future innovations in the field show forward-thinking anthropologists blending the lines between data science and human science to gather insights.

Research found that:

The world needs to invest more in methodologies and tools for anthropologists and data scientists to collaborate to understand people and communities more ethically and effectively, says Hillier. Innovation in the field needs more global awareness and investment in its methods, tools, educational opportunities and social impact value, if its to make real impactful change

For more information about the LiiV Center and to download a copy of the report, please visit https://unesdoc.unesco.org/ark:/48223/pf0000382647/PDF/382647eng.pdf.multi?utm_source=pocket_mylist

About The LiiV Center

A nonprofit innovating how the world understands people and communities in the digital age by advancing digital anthropology education, technology and awareness. The LiiV Center is committed to a future where algorithms, technologies and social decisions reflect the needs of everyone, not just the privileged few. https://liivcenter.org/.

View original post here:

Efforts To Understand People and Communities In The Digital Age Varies Significantly Globally - Business Wire

Read More..

Census Bureau moving beyond surveys and censuses with cloud-based data ecosystem – FedScoop

Written by Dave Nyczepir Oct 5, 2022 | FEDSCOOP

The Census Bureau plans to increase cloud migration to meet growing demand for its data and make better use of nontraditional sources, according to a request for information.

Dubbed the Census Acceleration to Secure Cloud (CASC), the IT modernization approach is in the early stages of understanding the state of the industry and its offerings and planning procurements for small businesses and full and open competition.

Demand for data at the pandemics outset prompted the bureau to create the Household Pulse Survey to fill gaps in the governments understanding of the social and economic impacts, but now it wants an ecosystem for collection, storage and processing.

The USCBs focus as an agency must no longer be simply to field surveys and censuses, and to publish the results, but rather to shift to combining data science with traditional survey methods, elevating and diversifying data products, and placing data at the center of the approach by accelerating to secure native cloud services, reads the request for information (RFI). The objective of this initiative is to address challenges and propose new ways in which the USCB will take advantage of native secure cloud services.

The CASC approach consists of three pillars: technical support reducing the bureaus on-premise data center footprint over time through cloud migration, secure cloud technical capabilities and services, and technical services assisting the migration of applications and development of new ones in the cloud.

Four initiatives form the foundation of CASC, the first being an enterprise data lake (EDL).

Next is the Frames Program, involving the collocation and linking of datasets within the EDL to do everything from tailoring a survey to answering new questions about jobs and COVID-19 vaccination rates.

Centralization and linkability will increase efficiency, reduce duplicative efforts to maintain and manage data, and greatly expand our capacity to answer critical questions about the population and economy at multiple geographic scales, reads the RFI. These linked, augmented and continuously updated datasets will provide a more comprehensive means for maintaining and updating the inventory of our nations addresses, jobs, businesses, people and other linked data.

The third initiative is Data Ingest and Collection for the Enterprise (DICE), a modern platform serving as the entry point for all of the bureaus data. A foundation for DICE was deployed during 2020 census work, but more needs to be done to enable adaptive survey design and reduce the need for costly updates and system rebuilds.

Last is the Center for Enterprise Dissemination Services and Consumer Innovation (CEDSCI), the primary platform for public data dissemination. The bureau envisions CEDSCI as a means to provide data products quickly and improve the user experience to allow for discovery and new visualizations.

Together the four initiatives will form an integrated system of systems called the Census Operations and Data Ecosystem (CODE).

CODE will provide myriad data linking capabilities, using secure and confidential data sources, for evidence-building questions like: Did a government business incentive program reduce poverty in selected neighborhoods? reads the RFI.

Market research will continue beyond the initial CASC RFI to keep pace with the evolving IT environment. Respondents have until 9 a.m. EST on Oct. 11 to submit comments on the RFI.

See more here:

Census Bureau moving beyond surveys and censuses with cloud-based data ecosystem - FedScoop

Read More..

Data Science, AI, and Machine Learning: The Path to Improved Safety – Pharmaceutical Executive

Register Free: https://www.pharmexec.com/pe_w/improved_safety

Event Overview:

As safety departments seek ways to improve medicinal product safety and protect patients, data science approaches offer significant promise. Whats possible, what's realistic, and whats the value to the industry and public?

Managing drug, vaccine, and device safety has become increasingly challenging as companies are confronted with adverse event (AE) caseloads rising as much as 30-50% per year. Constrained resources and limited qualified outsourcing options have created the need to streamline the pharmacovigilance/multivigilance process.

A well-designed data science approach can incorporate artificial intelligence and machine learning (AI/ML), rule-based automation, statistical algorithms, and advanced analytics to empower better safety insights, inform human decisions, eliminate tedious and repetitive tasks, improve data quality, and allow organizations to focus their human resources on high-value activities.

With nearly every process in multivigilance having the potential to benefit from data science, what are the keys to successfully deploying it? What are the challenges? Whats been overpromised?

Key Learning Objectives:

Who Should Attend:

Denny LorenzHead of PV Digital Case Handling & Quality ControlBayer

Denny Lorenz has worked more than two decades in Safety and Pharmacovigilance. He is currently the Head of Pharmacovigilance (Case Handlings & Quality Control, Pharmacovigilance, Single Case Processing) at Bayer in Berlin, Germany. Denny began his career at Bayer in Drug Safety Compliance and has held multiple roles spanning 20 years in pharmacovigilance, including system management, case processing, program delivery and more. Denny holds a masters degree in Consumer Healthcare from Charit Berlin and a bachelors degree in Business Informatics, Commercial Information Technologies from the Berlin School of Economics and Law.

Andrew GarrettEVP, Scientific OperationsICONAndy Garrett joined ICON Clinical Research in 2016 and is responsible for the strategic direction and operational execution of ICONs Global Scientific Operations. Services have included Pharmacovigilance, Regulatory, Medical Imaging; Medical Monitoring; Endpoint Adjudication, Interactive Technologies (IRT), Clinical Supplies Management, Biostatistics and Medical Writing. Previously Andy spent 20 years at IQVIA in various roles including Global Head for the combined Biostatistics, Medical Writing and Regulatory affairs business units, and before that worked for Warner Lambert, American Cyanamid (both now owned by Pfizer) and Parexel in various statistics management roles.

Andy is active professionally. He was previously VP/Honorary Secretary of the Royal Statistical Society, and Chair of its Long Term Strategy Group. He was also Chair and founder of the RSSs Data Science Section. He was also previously a Board member of the UKs Administrative Data Research Network. This network promoted and guarded the linkage of administrative data for research and policy purposes, providing assurance to Parliament through the UK Statistics Authority. Subsequently Andy joined the UKSAs Research Accreditation Panel that oversees the approval of research projects in accordance with the Digital Economy Act 2018. Andy actively supports the UKs Science Media Centre that provides assistance to the national news media when covering controversial science stories or breaking news.

Andy has a BSc in Economics, an MSc in Medical Statistics and a PhD in Applied Statistics. Andy has worked extensively in the area of rare diseases (including regulatory interactions) and his published work includes papers on the topics of non-inferiority trials, subgroup analysis, data transparency and modelling and simulation. He is based in the UK.

Michael Braun- BoghosSenior Director Safety StrategyOracle Health SciencesMichael has been working in medicinal product safety for 28 years. He spent 13 years in the European PV headquarters of Fujisawa and Astellas, ultimately leading the Safety Data and Quality Management group. Thereafter he joined Relsys, the developer of the Argus software, and finally came to Oracle Health Sciences with the Relsys acquisition in 2009. As a senior director in the safety strategy team, he helps drive the product roadmap of Oracle Safety One, including Argus, Empirica, and Safety One Intake.

Register Free: https://www.pharmexec.com/pe_w/improved_safety_therapies

Read the original here:

Data Science, AI, and Machine Learning: The Path to Improved Safety - Pharmaceutical Executive

Read More..

Adludio Bolsters Senior Leadership Team with the Appointment of New Chief Product Officer & Chief Technology Officer – ExchangeWire

Adludio, the global advertising platform delivering premium quality campaigns on mobile, has announced two key, c-level appointments - Dave Ramsay as chief product officer and Ian Liddicoat as chief technology officer and head of data science. With global clients including Ford, Land Rover Jaguar, Este Lauder, Nike, Adidas, and Microsoft, Adludio is scaling its position as not only a market leader in AI-optimised campaigns, but also capable of delivering actionable insights for clients.

Ramsay will be responsible for the further integration and expansion of Adludios automated platform. He joins from BT Digital, where he was director of product innovation and commercialisation, and was in charge of developing new services and insights. Previous to this role, Ramsay held positions at O2 Digital and Weve.

Dave Ramsay, Adludio

Commenting on his appointment, Ramsay said, With current market changes and challenges on personal data usage and focus on the attention economy and creativity, Adludio has a unique opportunity to scale its offering and services. By leveraging Adludios volumes of rich campaign engagement data, alongside its historical roots in market leading mobile interactive creative design, we can deliver best in class campaigns that help brands capture customer attention.

Meanwhile, Liddicoat will be leading development of Adludios proprietary algorithms and the optimisation of its world-beating marketing analytics. He joins Adludio from Publicis, where he was global head of data science and was responsible for its development and delivery of AI products.

Ian Liddicoat, Adludio

Commenting on his appointment, Liddicoat said, I am driven by technology, and for me, Adludio is in that unique position where its sat at an intersection of brilliant creativity and sophisticated algorithms. At a time when access to first party data is shrinking, I look forward to embracing Adludios AI technology and propelling it forward with a focus on high margin, high engagement campaigns.

Adludios co-founder and CEO Paul Coggins commented, The experience of Dave and Ian in leading product strategy and data transformation programmes to scale up businesses will be invaluable to Adludio. As we continue to align the business around the four pillars of creative, media, optimisation, and insights, their expertise will build our product and operational functions considerably. This in turn will help to cement Adludio as a leader in this new era of attention-driven mobile advertising.

Read the original post:

Adludio Bolsters Senior Leadership Team with the Appointment of New Chief Product Officer & Chief Technology Officer - ExchangeWire

Read More..

Genomic Science Breakthroughs Are Happening Faster Than Ever Thanks to HPC – CIO

Since the premier of the wildly popular 1993 dinosaur cloning film Jurassic Park, the sciences featured in the film, genetic engineering and genomics, have advanced at breathtaking rates. When the film was released, the Human Genome Project was already working on sequencing the entire human genome for the first time. They completed the project in 2003 after 13 years and at a cost of $1 billion. Today, the human genome can be sequenced in less than a day and at a cost of less than $1,000.

One leading genomics research organization, The Wellcome Sanger Institute in England, is on a mission to improve the health of all humans by developing a comprehensive understanding of the 23 chromosomes in the human body. Theyre relying on cutting edge technology to operate at incredible speed and scale, including reading and analyzing an average of 40 trillion DNA base pairs a day.

Alongside advances in DNA sequencing techniques and computational biology, high-performance computing (HPC) is at the heart of the advances in genomic research. Powerful HPC helps researchers process large-scale sequencing data to solve complex computing problems and perform intensive computing operations across massive resources.

Genomics at Scale

Genomics is the study of an organisms genes or genome. From curing cancer and combatting COVID-19 to better understanding human, parasite, and microbe evolution and cellular growth, the science of genomics is booming. The global genomics market is projected to grow to $94.65 billion by 2028 from $27.81 billion in 2021, according to Fortune Business Insights. Enabling this growth is a HPC environment that is contributing daily to a greater understanding of our biology, helping to accelerate the production of vaccines and other approaches to health around the world.

Using HPC resources and math techniques known as bioinformatics, genomics researchers analyze enormous amounts of DNA sequence data to find variations and mutations that affect health, disease, and drug response. The ability to search through the approximately 3 billion units of DNA across 23,000 genes in a human genome, for example, requires massive amounts of compute, storage, and networking resources.

After sequencing, billions of data points must be analyzed to look for things like mutations and variations in viruses. Computational biologists use pattern-matching algorithms, mathematical models, image processing, and other techniques to obtain meaning from this genomic data.

A Genomic Powerhouse

At the Sanger Institute, scientific research is happening at the intersection of genomics and HPC informatics. Scientists at the Institute tackle some of the most difficult challenges in genomic research to fuel scientific discoveries and push the boundaries of our understanding of human biology and pathogens. Among many other projects, the Institutes Tree of Life program explores the diversity of complex organisms found in the UK through sequencing and cellular technologies. Scientists are also creating a reference map of the different types of human cells.

Science on the scale of that conducted at the Sanger Institute requires access to massive amounts of data processing power. The Institutes Informatics Support Group (ISG) helps meet this need by providing high performance computing environments for Sangers scientific research teams. The ISG team provides support, architecture design and development services for the Sanger Institutes traditional HPC environment and an expansive OpenStack private cloud compute infrastructure, among other HPC resources.

Responding to a Global Health Crisis

During the COVID-19 pandemic, the Institute started working closely with public health agencies in the UK and academic partners to sequence and analyze the SARS-COV-2 virus as it evolved and spread. The work has been used to inform public health measures and to help save lives.

As of September 2022, over 2.2 million coronavirus genomes have been sequenced at Wellcome Sanger. They are immediately made available to researchers around the world for analysis. Mutations that affect the viruss spike protein, which it uses to bind to and enter human cells, are of particular interest and the target of current vaccines. Genomic data is used by scientists with other information to ascertain which mutations may affect the viruss ability to transmit, cause disease, or evade the immune response.

Societys greater understanding of genomics, and the informatics that goes with it, has accelerated the development of vaccines and our ability to respond to disease in a way thats never been possible before. Along the way, the world is witnessing firsthand the amazing power of genomic science.

Read more about genomics, informatics, and HPC in this white paper and case study of the Wellcome Sanger Institute.

***

Intel Technologies Move Analytics Forward

Data analytics is the key to unlocking the most value you can extract from data across your organization. To create a productive, cost-effective analytics strategy that gets results, you need high performance hardware thats optimized to work with the software you use.

Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI). Just starting out with analytics? Ready to evolve your analytics strategy or improve your data quality? Theres always room to grow, and Intel is ready to help. With a deep ecosystem of analytics technologies and partners, Intel accelerates the efforts of data scientists, analysts, and developers in every industry. Find out more aboutIntel advanced analytics.

Read more:

Genomic Science Breakthroughs Are Happening Faster Than Ever Thanks to HPC - CIO

Read More..