Page 11234..1020..»

Decentralized science can be the next big thing for blockchain utilization – Cointelegraph

The digital transformation has marked a stepping stone for making scientific research accessible to more researchers worldwide. However, two decades of digitization have shown that preparing and distributing content in a digital format is not enough to lower the barriers to scholarly information.

Peer review, a vital process to ensure the quality and accuracy of published academic work, is still notoriously inefficient. The slow and opaque processes lead to delays in publishing new research. On top of that, most researchers from smaller institutions or developing countries have to face an uphill battle in gaining visibility and accessing mainstream scientific platforms.

Due to the heavily centralized nature of such platforms, maintaining control and rights over ones scientific data and findings becomes another challenge for most researchers. All in all, these challenges lead to a slower pace of scientific advancement and collaboration, often discouraging researchers and limiting the diversity of contributions in the scientific community.

Blockchain technology can potentially improve various processes of scientific publishing, offering a solution to key challenges across the board. The immutability, transparency and global availability of blockchain present an opportunity for science circles to take a major step toward decentralization while giving power and governance to users and researchers.

NobleBlocks is a blockchain-based decentralized science (DeSci) platform that promises to address critical pain points in scientific publishing. Built on the Internet Computer Protocol, a blockchain infrastructure known for its speed and scalability, NobleBlocks offers high-speed and transparent transactions to minimize the time and complexity typically associated with publishing scientific research.

Key to NobleBlocks mission of incentivizing scientific contribution is NOBL, the platforms native token, which is built on the Ethereum blockchain. NobleBlocks uses its custom ckNOBL solution to integrate the Ethereum-based NOBL with the Internet Computer blockchain, enhancing the decentralization aspect of the DeSci platform and ensuring a seamless and secure connection between two robust blockchain ecosystems.

The tokenization of scientific efforts enables DeSci to acknowledge and reward every contributor from editor to reviewer in a fair model. As a globally accessible portal, NobleBlocks allows researchers to expand their projects horizons through partnerships with international researchers.

NobleBlocks provides a streamlined system on blockchain that significantly reduces the time from research submission to publication, fixing inefficient peer review processes.

The platform democratizes access to essential research material globally by offering all researchers an open and easy-to-access platform. NobleBlocks also establishes data sovereignty and the integrity of scientific work by allowing researchers to retain control over their intellectual property a crucial factor in encouraging original and diverse scientific contributions.

Publications and contributions can be seen from the dashboard. Source: NobleBlocks

Integrating the decentralized nature of blockchain with conventional scientific publishing practices is no easy task. To achieve it, NobleBlocks harmonized the rigors of academic peer review with the efficiency and transparency of blockchain. The resulting solution has enabled the preservation of the integrity of the scientific process while opening doors to faster, more equitable access to research.

As a fully on-chain platform, NobleBlocks ensures complete transparency and immutability of scientific data and publications. Being fully on-chain allows every transaction, submission and review process to be recorded on the blockchain, offering enhanced security and trust in the hosted academic content.

Aside from providing a platform for publishing and reviewing scientific work, NobleBlocks also builds a network to connect researchers, academicians and thought leaders from diverse disciplines and geographies. It seeks to contribute to a richer and more inclusive scientific dialogue by encouraging collaboration, idea exchange and collective problem-solving.

The platform offers detailed information about a researcher through quick profiles. Source: NobleBlocks

The concept of making scientific research globally accessible through blockchain has raised interest from both the Web3 ecosystem and the scientific communities. Aside from receiving grants from the Dfinity Foundation, a major contributor to the Internet Computer blockchain, NobleBlocks also enjoyed a rapid sell-out for NOBL in under one minute.

NobleBlocks envisions an open, transparent and efficient scientific publishing landscape enhanced by blockchain technology. It anticipates a shift toward more accessible and participatory scientific processes that reduce barriers and improve efficiency.

By merging scientific publishing with blockchain, the platform aims to contribute to this evolution. NobleBlocks promises to reshape how research is shared and accessed, enhancing the integrity and value of scientific work.

For the broader crypto and Web3 ecosystem, NobleBlocks exemplifies the practical application of blockchain in non-financial sectors through the utilization of DeSci. The platform offers a model for integrating blockchain into academia, encouraging similar adaptations in other areas and advancing the entire Web3 ecosystem.

Disclaimer. Cointelegraph does not endorse any content or product on this page. While we aim at providing you with all important information that we could obtain in this sponsored article, readers should do their own research before taking any actions related to the company and carry full responsibility for their decisions, nor can this article be considered as investment advice.

See the original post:

Decentralized science can be the next big thing for blockchain utilization - Cointelegraph

Read More..

UVA’s new School of Data Science has grand opening – – CBS19 News

Inside there is also a space to bring in researchers and guest speakers, as well as host annual events, including the School's annual Datapalooza and Women in Data Science events.

The building also features a giant data sculpture. It is an interactive art piece that displays different data.

"The genome related to Alzheimer's disease is loaded up on there, we've got the number of hours it took to build this building by day is loaded up on there. The idea is you select a data set, and you are rewarded by seeing the data fill the sculpture with light," said Burgess.

Burgess says the growth of the School of Data Science shows how much the university believes data science will change the world.

"The fact that we have university leadership here saying, 'This is a place that brings us together.' We have the governor here saying, 'This is important for the Commonwealth, this is important for higher education.' We really believe that and we think that what we've seen is that other people believe that as well," she said.

Link:

UVA's new School of Data Science has grand opening - - CBS19 News

Read More..

Can Recommendations from LLMs be manipulated to enhance a product’s visibility? – Towards Data Science

I recently read a tweet where someone dropped a tip about adding "before:2023" to Google searches to eliminate a lot of AI-generated SEO content. Honestly, I haven't used it, but you get the gist, right? Today, the internet is swamped with so much

See more here:

Can Recommendations from LLMs be manipulated to enhance a product's visibility? - Towards Data Science

Read More..

How to Boost the Performance of Python Using Caching Techniques – Towards Data Science

8 min read

Once you are not a Python newbie anymore, it will be time to explore built-in features in Python. I bet there will be many out-of-the-box built-in features in Python that will surprise you. Today, Ill introduce one of them in this article.

Visit link:

How to Boost the Performance of Python Using Caching Techniques - Towards Data Science

Read More..

Deloitte Broadens Biosecurity, Public Health Capabilities With Gryphon Scientific Acquisition; Beth Meagher Quoted – GovCon Wire

Deloitte has acquired Gryphon Scientific for an undisclosed sum as part of efforts to broaden its biosafety, biosecurity, public health and emergency preparedness and response capabilities.

Through the transaction, Deloitte said Monday it will absorb Gryphons scientists, programmers, data analysts, public health specialists and planning and policy professionals with experience in scientific communications, modeling, data science and risk assessment.

The two companies will also develop artificial intelligence applications through Deloittes Federal Health AI Accelerator to improve public health and safety and help customers prepare for chemical threats, biothreats and other biological emergencies.

Beth Meagher, U.S. federal health sector leader and principal at Deloitte Consulting, said the addition of Gryphons professionals and leadership reflects an enhancement to the consulting firms data analytics and advanced tech capabilities.

Our federal health practice is excited to lead the way for U.S. government and public services (GPS) to push the boundaries and bring our clients to the forefront of AI-enabled, mission-driven work, Meagher noted. This enhances the types of data-driven technology and scientific experience that we can offer to federal agencies and strengthens our ability to support government leaders in their efforts to safeguard the security of our nation and the health and safety of our people.

See original here:

Deloitte Broadens Biosecurity, Public Health Capabilities With Gryphon Scientific Acquisition; Beth Meagher Quoted - GovCon Wire

Read More..

Gilbane completes University of Virginia’s School of Data Science building – World Construction Network

Gilbane Building Company has completed the construction of the University of Virginias (UVA) School of Data Science building in the US.

The project was supported via a $120m donation from the Quantitative Foundation.

The design process, which commenced in January 2020, was a collaborative effort involving Hopkins Architects, VMDO, and the universitys Office of the Architect.

Ground-breaking on the project took place in October 2021, with construction led by Gilbane.

Gilbane Richmond Virginia business leader Maggie Reed said: We are delighted to continue our partnership with UVA on this cutting-edge facility that creates opportunity for collaborative, open, and responsible data science research and education as the schools goals state.

While we helped build a physical building to house the programme, we are excited about what this school without walls will create in the future.

Access the most comprehensive Company Profiles on the market, powered by GlobalData. Save hours of research. Gain competitive edge.

Your download email will arrive shortly

We are confident about the unique quality of our Company Profiles. However, we want you to make the most beneficial decision for your business, so we offer a free sample that you can download by submitting the below form

Country * UK USA Afghanistan land Islands Albania Algeria American Samoa Andorra Angola Anguilla Antarctica Antigua and Barbuda Argentina Armenia Aruba Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bonaire, Sint Eustatius and Saba Bosnia and Herzegovina Botswana Bouvet Island Brazil British Indian Ocean Territory Brunei Darussalam Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Cayman Islands Central African Republic Chad Chile China Christmas Island Cocos Islands Colombia Comoros Congo Democratic Republic of the Congo Cook Islands Costa Rica Cte d"Ivoire Croatia Cuba Curaao Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Falkland Islands Faroe Islands Fiji Finland France French Guiana French Polynesia French Southern Territories Gabon Gambia Georgia Germany Ghana Gibraltar Greece Greenland Grenada Guadeloupe Guam Guatemala Guernsey Guinea Guinea-Bissau Guyana Haiti Heard Island and McDonald Islands Holy See Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Isle of Man Israel Italy Jamaica Japan Jersey Jordan Kazakhstan Kenya Kiribati North Korea South Korea Kuwait Kyrgyzstan Lao Latvia Lebanon Lesotho Liberia Libyan Arab Jamahiriya Liechtenstein Lithuania Luxembourg Macao Macedonia, The Former Yugoslav Republic of Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Martinique Mauritania Mauritius Mayotte Mexico Micronesia Moldova Monaco Mongolia Montenegro Montserrat Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Caledonia New Zealand Nicaragua Niger Nigeria Niue Norfolk Island Northern Mariana Islands Norway Oman Pakistan Palau Palestinian Territory Panama Papua New Guinea Paraguay Peru Philippines Pitcairn Poland Portugal Puerto Rico Qatar Runion Romania Russian Federation Rwanda Saint Helena, Ascension and Tristan da Cunha Saint Kitts and Nevis Saint Lucia Saint Pierre and Miquelon Saint Vincent and The Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Georgia and The South Sandwich Islands Spain Sri Lanka Sudan Suriname Svalbard and Jan Mayen Swaziland Sweden Switzerland Syrian Arab Republic Taiwan Tajikistan Tanzania Thailand Timor-Leste Togo Tokelau Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Turks and Caicos Islands Tuvalu Uganda Ukraine United Arab Emirates US Minor Outlying Islands Uruguay Uzbekistan Vanuatu Venezuela Vietnam British Virgin Islands US Virgin Islands Wallis and Futuna Western Sahara Yemen Zambia Zimbabwe Kosovo

Industry * Academia & Education Aerospace, Defense & Security Agriculture Asset Management Automotive Banking & Payments Chemicals Construction Consumer Foodservice Government, trade bodies and NGOs Health & Fitness Hospitals & Healthcare HR, Staffing & Recruitment Insurance Investment Banking Legal Services Management Consulting Marketing & Advertising Media & Publishing Medical Devices Mining Oil & Gas Packaging Pharmaceuticals Power & Utilities Private Equity Real Estate Retail Sport Technology Telecom Transportation & Logistics Travel, Tourism & Hospitality Venture Capital

Tick here to opt out of curated industry news, reports, and event updates from World Construction Network.

Submit and download

The UVAs School of Data Science now features a new four-storey, 61,000ft facility.

The building, situated at the east entrance of the Emmet-Ivy Corridor, is part of a larger expansion project by the university.

It has been designed with open hallways, an atrium, stairs, adaptive classrooms, and research and meeting areas, aiming to create an interactive and collaborative learning environment.

UVA president Jim Ryan said: This beautiful and unique new space gives students, faculty, and staff a home base for research and teaching that intersects with schools and disciplines across grounds and beyond.

The School of Data Science building has achieved Leadership in Energy and Environmental Design (LEED) Gold certification for its green design.

It incorporates solar panels, daylighting strategies, and shading systems to minimise the need for artificial lighting.

The building is expected to derive 15% of its power from solar energy, using four arrays of solar photovoltaic panels on its roof.

This aligns with the UVAs Sustainability Plan, which targets carbon neutrality by 2030 and a fossil fuel-free status by 2050.

Give your business an edge with our leading industry insights.

See more here:

Gilbane completes University of Virginia's School of Data Science building - World Construction Network

Read More..

Is Data Science a Bubble Waiting to Burst? – KDnuggets

Image by Author

I once spoke with a guy who bragged that, armed only with some free LinkedIn courses and an outdated college Intro to SQL course, hed managed to bag a six-figure job in data science. Nowadays, most people struggling to get a good data science job will agree thats unlikely to happen. Does that mean the data science job category is a popped bubble or worse, that it hasnt yet burst, but is about to?

In short, no. Whats happened is that data science used to be an undersaturated field, easy to get into if you used the right keywords on your resume. Nowadays, employers are a little more discerning and often have specific skill sets in mind that theyre looking for.

The bootcamps, free courses, and Hello World projects dont cut it anymore. You need to prove specific expertise and nail your data science interview, not just drop buzzwords. Not only that, but the shine of data scientist has worn off a little. For a long time, it was the sexiest job out there. Now? Other fields, like AI and machine learning, are just a bit sexier.

That all being said, there are still more openings in data science than there are applicants, and reliable indicators say the field is growing, not shrinking.

Not convinced? Lets look at the data.

Over the course of this article, Ill drill down into multiple graphs, charts, figures, and percentages. But lets start with just one percentage from one outstandingly reputable source: The Bureau of Labor Statistics.

The BLS predicts that there will be a 35 percent change in employment from 2022 to 2032 for data scientists. In short, in 2032, there will be about a third more jobs in data science than there were in 2022. For comparison, the average growth rate for all jobs is 3 percent. Keep that number in mind as you go through the rest of this article.

The BLS does not think that data science is a bubble waiting to burst.

Now we can start getting into a bit of the nitty gritty. The first signs people point to as signs of a popped or impending bubble pop are the mass layoffs in data science.

Its true that the numbers dont look good. Starting in 2022 and continuing through 2024, the tech sector in general experienced 430k layoffs. Its difficult to tease out data science-specific data from those numbers, but the best guesses are that around 30 percent of those were in data science and engineering.

Source: https://techcrunch.com/2024/04/05/tech-layoffs-2023-list/

However, thats not a burst bubble of data science. Its a little smaller in scope than that its a pandemic bubble popping. In 2020, as more people stayed home, profits rose, and money was cheap, FAANG and FAANG-adjacent companies scooped up record numbers of tech workers, only to lay many of them off just a few years later.

If you zoom out and look at the broader picture of hirings and layoffs, youll be able to see that the post-pandemic slump is a dip in an overall rising line, which is even now beginning to recover:

Source: https://www.statista.com/

You can clearly see the huge dip in tech layoffs during 2020 as the market tightened, and then the huge spike starting in Q1 of 2022 as layoffs began. Now, in 2024, the number of layoffs is smaller than in 2023.

Another scary stat often touted is that FAANG companies shuttered their job openings by 90% or more. Again, this is most in reaction to a widely high number of job openings during the pandemic.

That being said, job openings in the tech sector are still lower than they were pre-pandemic. Below, you can see an adjusted chart showing demand for tech jobs relative to February 2020. Its clear to see that the tech sector took a blow its not recovering from any time soon.

Source: https://www.hiringlab.org/2024/02/20/labor-market-update-tech-jobs-below-pre-pandemic-levels/

However, lets look a little closer at some real numbers. Looking at the chart below, while job openings are indubitably down from their 2022 peak, the overall number of openings is actually increasing up 32.4% from the lowest point.

Source: https://www.trueup.io/job-trend

If you look at any labor and news reports online, youll see theres a bit of an anti-remote, anti-tech backlash happening at the moment. Meta, Google, and other FAANG companies, spooked by the bargaining power that employees enjoyed during the pandemic heights, are now pushing for return-to-office mandates (data science jobs and other tech jobs are often remote) and laying off large quantities of employees somewhat unnecessarily, judging by their revenue and profit reports.

Just to give one example, Googles parent company Alphabet laid off over 12,000 employees over the course of 2023 despite growth across its ad, cloud, and services divisions.

This is just one facet with which to examine the data, but part of the reason companies are doing these layoffs is more to do with making the board happy rather than any decreased need for data scientists.

I find that people believing were in a data science bubble are most often those who dont really know what data scientists do. Think of that BLS stat and ask yourself: why does this well-informed government agency believe that theres strong growth in this sector?

Its because the need for data scientists cannot go away. While the names might be changed AI expert or ML Cloud Specialist rather than Data Scientist the skills and tasks that data scientists perform cant be outsourced, dropped, decreased, or automated.

For example, predictive models are essential for businesses to forecast sales, predict customer behavior, manage inventory, and anticipate market trends. This enables companies to make informed decisions, plan strategically for the future, and maintain competitive advantages.

In the financial sector, data science plays a crucial role in identifying suspicious activities, preventing fraud, and mitigating risks. Advanced algorithms analyze transaction patterns to detect anomalies that may indicate fraud, helping protect businesses and consumers alike.

NLP enables machines to understand and interpret human language, powering applications like chatbots, sentiment analysis, and language translation services. This is critical for improving customer service, analyzing social media sentiment, and facilitating global communication.

I could list dozens more examples demonstrating that data science is not a fad, and data scientists will always be in demand.

Revisiting my anecdote from earlier, part of the reason it feels like were in a bubble that is either popping or about to pop is the perception of data science as a career.

Back in 2011, Harvard Business Review famously called it the sexiest job of the decade. In the intervening years, companies hired more data scientists than they knew what to do with, often unsure about what data scientists actually did.

Now, a decade and a half later, the field is a little wiser. Employers understand that data science is a broad field, and are more interested in hiring machine learning specialists, data pipeline engineers, cloud engineers, statisticians, and other specialties that broadly fall under the data science hat but are more specialized.

This also helps explain why this idea of walking into six figure job straight out of a bachelor's degree used to be the case - since employers didn't know better - but now is impossible to do. The lack of easy data science jobs makes it feel like the market is tighter. It's not; data shows job openings are still high and demand is still greater than the graduates coming out with appropriate degrees. But employers are more discerning and unwilling to take a chance on untried college grads with no demonstrated experience.

Finally, you can take a look at the tasks that data scientists do and ask yourself what companies would do without those tasks getting done.

If you don't know much about data science, you might guess that companies can simply automate this work, or even go without. But if you know anything about the actual tasks data scientists do, you understand that the job is, currently, irreplaceable.

Think of how things were in the 2010s: that guy I talked about, with just a basic understanding of data tools, catapulted himself into a lucrative career. Things arent like that anymore, but this recalibration isnt a sign of a bursting bubble as some believe. Instead, its the field of data science maturing. The entry-level data science field may be oversaturated, but for those with specialized skills, deep knowledge, and practical experience, the field is wide open.

Furthermore, this narrative of a bubble is fueled by a misunderstanding of what a bubble actually represents. A bubble occurs when the value of something (in this case, a career sector) is driven by speculation rather than actual intrinsic worth. However, as we covered, the value proposition of data science is tangible and measurable. Companies need data scientists, plain and simple. Theres no speculation there.

Theres also a lot of media sensationalism surrounding the layoffs in big tech. While these layoffs are significant, they reflect broader market forces rather than a fundamental flaw in the data science discipline. Dont get caught up in the headlines.

Finally, its also worth noting that the perception of a bubble may stem from how data science itself is changing. As the field matures, the differentiation between roles becomes more pronounced. Job titles like data engineering, data analysis, business intelligence, machine learning engineering, and data science are more specific, and require a more niche skill set. This evolution can make the data science job market appear more volatile than it is, but in reality, companies just have a better understanding of their data science needs and can recruit for their specialities.

If you want a job in data science, go for it. Theres very little chance were actually in a bubble. The best thing you can do is, as Ive indicated, pick your specialty and develop your skills in that area. Data science is a broad field, spilling over into different industries, languages, job titles, responsibilities, and seniorities. Select a specialty, train the skills, prep for the interview, and secure the job.

Nate Rosidi is a data scientist and in product strategy. He's also an adjunct professor teaching analytics, and is the founder of StrataScratch, a platform helping data scientists prepare for their interviews with real interview questions from top companies. Nate writes on the latest trends in the career market, gives interview advice, shares data science projects, and covers everything SQL.

Read more here:

Is Data Science a Bubble Waiting to Burst? - KDnuggets

Read More..

Gilbane Building Company successfully completes construction of the University of Virginia’s cutting-edge School of … – PR Web

"This beautiful and unique new space gives students, faculty, and staff a home base for research and teaching that intersects with schools and disciplines across Grounds and beyond," said University President Jim Ryan.

This four-story, 61,000-square-foot facility for the School of Data Science embodies the core principles of openness and collaboration that drive the school's mission. Designed with open hallways, a spacious atrium, monumental stairs, adaptive classrooms, and research and meeting areas, the building promotes a culture of innovation and teamwork.

"We are delighted to continue our partnership with UVA on this cutting-edge facility that creates opportunity for collaborative, open, and responsible data science research and education as the school's goals state," said Maggie Reed, Gilbane's Richmond, Virginia, Business Leader. "While we helped build a physical building to house the program, we are excited about what this school without walls will create in the future."

An interactive data sculpture, designed by SoSo Limited and built by Hypersonic, will be a unique feature of the building, allowing visitors to engage with data sets and explore various data stories. The sculpture, hanging from a skylight at the building's core, will be visible from the street and every floor.

Inclusivity is a priority, and the facility features a wellness space, a lactation space, and non-gendered restrooms, making it a welcoming environment for all.

Sustainability is a crucial focus, evident in the LEED Gold-certified green building design. Solar panels, daylighting strategies, and shading systems reduce the need for artificial lighting. The School of Data Science will receive 15% of its power from solar energy provided by four arrays of solar photovoltaic panels installed on the roof of its soon-to-open new home. This aligns with UVA's Sustainability Plan, aiming for carbon neutrality by 2030 and fossil fuel-free status by 2050.

About the University of Virginia UVA is an iconic public institution of higher education, boasting nationally ranked schools and programs, diverse and distinguished faculty, a major academic medical center, and a proud history as a renowned research university. The community and culture of the University are enriched by active student self-governance, sustained commitment to the arts, and a robust NCAA Division I Athletics program. In its third century, the University of Virginia offers an affordable, world-class education consistently ranked among the nation's best. As one of the nation's leading public institutions, UVA pushes the boundaries of what's possible always in the name of the greater good. One of the things that makes this possible is an unswerving commitment to initiatives that grow, strengthen, and shape our institution for the future. For more information visit: https://www.virginia.edu.

About Gilbane Building Company Gilbane provides a full slate of construction and facilities-related services from preconstruction services planning and integrated consulting capabilities to comprehensive construction management, general contracting, design-build, and facility management services for clients across various markets. Founded in 1870 and still a privately held, family-owned company, Gilbane has more than 45 office locations worldwide. For more information, visit http://www.gilbaneco.com.

About Gilbane Richmond Serving the Richmond community for over 50 years as a construction industry leader, Gilbane has the breadth of experience and local knowledge to partner with corporations, institutions, schools and universities, government agencies, and attractions in Virginia. Gilbane has constructed many of Richmond's local iconic landmarks and facilities, including the Virginia State Capitol Building Restoration and Extension, the Altria Corporate Headquarters Campus, the Virginia Commonwealth University Institute of Contemporary Art, CenterStage and Landmark Theatre, the Altria Theater Renovations as well as several major renovation projects for Capitol One on their West Creek campus.

Media Contact

Heidi K. Bodine, Gilbane Building Company, 407-204-4023, [emailprotected], http://www.gilbaneco.com

SOURCE Gilbane Building Company

Continued here:

Gilbane Building Company successfully completes construction of the University of Virginia's cutting-edge School of ... - PR Web

Read More..

Empowering Transformation Through Technology From Clinical Data Management To Clinical Data Science – Clinical Leader

Amidst the ever-evolving landscape of clinical trials, traditional clinical data management is undergoing a metamorphosis. No longer solely focused on ensuring data integrity, it's transitioning towards an insight-driven, risk-based clinical data science approach.

This paradigm shift, as detailed in this paper, elevates data management beyond data collection and cleaning. It empowers data managers to become knowledge generators, gleaning valuable insights to propel various facets of clinical research. This evolution positions them as the custodians of all clinical trial data, responsible for safeguarding its overall quality. The emphasis now lies on innovative strategies and cutting-edge technological advancements that fuel this transformation toward proactive, efficient, and insightful data management.

See the original post:

Empowering Transformation Through Technology From Clinical Data Management To Clinical Data Science - Clinical Leader

Read More..

Permutation Feature Importance from Scratch | by Conor O’Sullivan | Apr, 2024 – Towards Data Science

10 min read

If you look under the hood of the most advanced XAI methods, you will find permutations. SHAP, LIME, PDPs & ICE Plots, ALEs and Friedman's H-stat all rely on them. This is why understanding permutations and their limitations is so important to the field. So, lets

See the original post here:

Permutation Feature Importance from Scratch | by Conor O'Sullivan | Apr, 2024 - Towards Data Science

Read More..