This article has been reviewed according to ScienceX's editorial process and policies. Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

preprint

trusted source

proofread

by Ingrid Fadelli , Phys.org

close

The Manhattan Project was a top-secret program that culminated in the development of the first atomic bombs during World War 2. This covert and controversial research endeavor involved many gifted and reputable scientists, including physicist J. Robert Oppenheimer.

Miln Janosov, Founder of Geospatial Data Consulting and Chief Data Scientist at Baoba, recently set out to map the relationships between scientists who took part in the Manhattan Project using methods rooted in network science. Network or data science is a field of research that explores the intricate connections between people in a group or between individual parts of networked systems. The work is published on the arXiv preprint server.

"I have been working with social networks and mapping unusual datasets to uncover hidden connections for a while," Janosov said. "During this journey, I also mapped hidden networks of scientists, including for instance, the network of Nobel laureates in another project released earlier this year. So, I already had a history of mapping scientists' networks. After watching the long-awaited Oppenheimer movie, I decided to also untangle the collaboration and social connections behind the Manhattan project, which if one of the largest, most impactful scientific collaborations of human history."

The release of the popular movie Oppenheimer in July this year re-awoke significant public interest in the Manhattan Project and the substantial research efforts that led to the development of the atomic bomb. This inspired Janosov, a trained network scientist with a background in physics, to explore this topic in his research.

"A practical and traditionally accepted way of building networks of scientists relies on shared publications," Janosov explained. "However, even today, some of the Manhattan Project's science is classified, so that direction would have distorted the picture. So, I decided to drop this steer away from classified and private data to the most public information platform availableWikipedia."

close

close

To map the relationships between different scientists involved in the Manhattan project, Janosov firstly collected every Nobel laureate's Wikipedia page and compiled these pages into a dataset. Subsequently, he used language processing techniques to analyze the texts included in these pages.

"This approach allowed me to quantify how often each laureate's page refers to others," Janosov said. "This was all I needed to build their network, in which each scientist was a node linked based on Wikipedia mentions and references. For instance, the Wiki page of Oppenheimer mentions Enrico Fermi more than 10 times, leading to a strong link between the two physicists."

The map created by Janosov represents the most renowned scientists involved in the Manhattan Project as dots and the connections between these scientists as lines that connect the dots. These dots and lines create an intricate web of relationships, highlighting research circles that closely collaborated at the time.

"It's exciting to see how the network's community structure outlines the different departments and historically well-known cliques who worked in the projects, such as the Theoretical Division with Feynman or World War II refugees around Borh," Janosov said. "However, my favorite part is about the Hungarian immigrants who run under the nickname Martians: Teller, Wigner, Szilard, and Neuman, who played a foundational role in the dawn of the atomic. As it turns out, also in this network, using the right coloring, their strong connectedness is also clearly visible."

close

The colorful map of The Manhattan Project created by Janosov is one of the most recent examples of just how valuable network science can be for creating representations of human connections and visual maps of complex systems with many interacting components. Future studies in this rapidly evolving area of research could shed some new light on a wide array of topics rooted in both science and the humanities.

"Nowadays, I am most focused on questions related to urban planning, geospatial data science, and sustainability," Janosov added. "I am currently exploring a crucial question in this domain, where network science can also be appropriately applied."

More information: Milan Janosov, Decoding the Manhattan Project's Network: Unveiling Science, Collaboration, and Human Legacy, arXiv (2023). DOI: 10.48550/arxiv.2310.01043

Journal information: arXiv

2023 Science X Network

See the original post here:

Mapping the relations between Manhattan Project scientists using network science - Phys.org

The CFTC has announced Ted Kaouk as Chief Data Officer, John Coughlan as Chief Data Scientist. FINRA has appointed Feral Talib as Head of Surveillance and Market Intelligence.

The Commodity Futures Trading Commission (CFTC) and the Financial Industry Regulatory Authority (FINRA) have both announced critical appointments, signifying an increased focus on data analytics and market surveillance.

With the CFTC appointing Ted Kaouk as Chief Data Officer and John Coughlan as Chief Data Scientist, and FINRA announcing Feral Talib as Head of Surveillance and Market Intelligence, the two regulatory organizations are takingsignificant steps towards integrating advanced data analytics and surveillance technology in the regulatory framework, reflecting a proactive stance in adapting to the rapidly evolving financial markets.

CFTC Chairman Rostin Behnam recently announced the appointment of Ted Kaouk as the Chief Data Officer and Director of the Division of Data (DOD).

This strategic move aims to bolster the CFTCs data-driven approach to regulatory oversight. Kaouk, with an impressive background, including roles as Chief Data Officer at the Office of Personnel Management (OPM) and the Department of Agriculture, brings a wealth of experience in data integration and strategy development. His appointment is seen as a crucial step in enhancing the CFTCs ability to make informed policy decisions.

Alongside Kaouk, John Coughlan has been named the agencys first Chief Data Scientist. With eight years at the CFTC, Coughlans appointment marks a new era in data science for the agency. His expertise in machine learning and data analytics will be instrumental in advancing the CFTCs use of artificial intelligence for effective oversight of the derivatives markets.

Chairman Behnam underscored the importance of these appointments.The massive shifts in financial markets driven by advances in technology put the CFTC at the center of a new era of financial data, empowering us to more efficiently and effectively execute our mission.

With these new critical hires, the CFTC is upskilling our data science staff, and increasing capacity and capability to be at the forefront of market innovations. We now have the team in place to set a strategy with concrete benchmarks and a clear path forward.

Meanwhile, FINRA has appointed Feral Talib as the Executive Vice President and Head of Surveillance and Market Intelligence. Talibs role, a new addition to FINRA, is set to begin on January 2. His extensive experience in market surveillance, most notably as the Global Head of Market Surveillance at BNP Paribas Group, positions him as a key player in strengthening FINRAs surveillance capabilities.

Talib will be responsible for leading FINRAs surveillance program, which is crucial for maintaining the integrity of the U.S. securities markets. His focus will be on continuous innovation, ensuring that the surveillance systems keep pace with the evolving and complex nature of modern financial markets.

Stephanie Dumont, Executive Vice President and Head of Market Regulation and Transparency Services at FINRA, praised Talibs expertise and track record.Feral has extensive experience leading surveillance programs that will bolster our mission of protecting investors and promoting market integrity. He has a proven track record of overseeing comprehensive surveillance portfolios while utilizing cutting-edge surveillance techniques. Ferals surveillance expertise will help us continue to innovate and enhance the effectiveness and technological sophistication of our surveillance program. Feral will be a key addition to FINRAs ongoing leadership in regulatory surveillance.

I am excited to be joining FINRA and to have the opportunity to lead its Surveillance and Market Intelligence unit. Robust surveillance is vital to ensuring fair markets and protecting investors, and we are at the cusp of an evolutionary leap in surveillance capabilities through the use of artificial intelligence and our ability to process unstructured data. By combining advanced surveillance and detection with FINRAs traditional investigative expertise, I look forward to continuing and building upon the excellent work FINRA is already doing in this space, Talib said.

Related

Read the rest here:

FINRA and CFTC make critical hires towards integrating data analytics and surveillance technology - FinanceFeeds

With prestigious National Science Foundation grant, Veteran-founded National University announces new bachelor's degree helping active-duty military and Veterans up- and reskill for careers in data science and AI

SAN DIEGO, Dec. 21, 2023 /PRNewswire-PRWeb/ -- National University, a nonprofit and Veteran-founded Minority Serving Institution that serves 50,000 degree-seeking students and 80,000 workforce and professional development students annually, today announced the development of a new B.S. Data Science degree aimed at helping military service members and Veterans transition into the in-demand fields of data science and artificial intelligence (AI) technology. This effort is made possible through a $500,000 grant from the National Science Foundation (NSF) and will play a vital role in addressing the growing demand for professionals in these rapidly evolving sectors.

"Even as we grapple with understanding the vast and still emerging capabilities of artificial intelligence, we face an equally important obligation to ensure that this new AI and technology-driven economy is accessible for every learner and worker, including those who have served our nation in uniform," said Dr. Jodi Reeves, National University department chair of data science and the associate director for education, diversity, and outreach for TILOS. "The U.S. armed services have long been at the forefront of artificial intelligence and data innovation, so we have a profound opportunity to align the talents of dedicated service members in transition and Veterans to meet the needs of a fast-changingand increasingly tech-driveneconomy where these same technologies will play an outsized role."

Every year, approximately 500,000 members of the U.S. military depart active duty and begin the transition to the civilian workforce. The initiative comes as a response to the escalating demand for skilled individuals in data science and AI technology, with data science being the most in-demand job in the industry. As these fields continue to shape industries across the globe, the demand for experts in this domain is at an all-time high. According to the Bureau of Labor Statistics, data scientist roles are projected to grow 35% between 2022 and 2032, at a much faster rate than the average for all other occupations.

In 2021, National University was selected to be part of a prestigious team awarded a $20 million grant from the National Science Foundation (NSF) for its contribution to The Institute for Learning-enabled Optimization at Scale (TILOS), an AI institute led by the University of California, San Diego, alongside partners such as Yale University, MIT, the University of Pennsylvania, and the University of Texas at Austin. Through the grant, National University will receive $100,000 annually for five years to support faculty members developing new curriculum, in order to help the university serve its diverse student demographics, including working adults and members of the military community.

The AI reskilling program is one of several programs and initiatives created by National University in response to the growing demand for skilled workers who are passionate about the field of data science and AI technology. Since the AI institute's inception, the AI specialization of M.S. Data Science has grown to be the largest specialization at National University, with 56% of the students being military affiliated. The new B.S. of Data Science degree will include concentrations in AI and machine learning, cybersecurity analytics, and bioinformatics. New courses begin in February 2024.

"To make good on our commitment to serving military and Veteran students to the best of our ability, we need to continuously find ways to bridge the divide between civilian systems of education and employment and our modern military we must evolve the programs we offer, and the ways in which we serve this unique population of learners," said Meg O'Grady, Senior Vice President, Military and Government Programs at National University. "This is about creating inclusive pathways to careers in data, technology and artificial intelligence for Veterans and service members in transitionand finding new ways to align military skills and credentials with the needs of the emerging AI economy."

Throughout its 50-year history, National University has established a strong reputation for its focus on serving military-connected students and Veterans. Today, its student population reflects the shifting and highly diverse demographics of higher education today. Approximately 70 percent of its students take the majority of their classes online. More than 25 percent identify as Hispanic, and 10 percent identify as Black. More than 80 percent of undergraduates are transfer students. The average age of its students is 33. And about 1 in 4 students are active-duty service members or Veterans.

Established in 1971 by retired U.S. Navy Capt. David Chigos, the university also has a rich history of commitment to military personnel. Recognized as a 2022-2023 Military Friendly School and a participant in the Yellow Ribbon Program, National University proudly offers over 190 degree programs, tailored to meet the needs of active-duty military members, Veterans, and their dependents.

National University's four-week course structure is designed to accommodate the unique demands of military life, enabling students to pursue their degrees without disrupting training, service and deployment schedules. In addition, the university's Veteran Center assists in the transition from military to civilian life, offering guidance and support services. National University also utilizes transfer-friendly policies that enable students to leverage previously earned college credits, professional certifications, and military training.

To learn more about National University's offerings, visit our website at NU.edu.

About National University National University, a Veteran-founded nonprofit, has been dedicated to meeting the needs of hard-working adults by providing accessible, affordable higher education opportunities since 1971. As San Diego's largest private nonprofit university, NU offers over 190+ online and on-campus programs with flexible four-week and eight-week classes and one-to-one graduate education models designed to help students reach their goals while balancing busy lives. Since its founding, the NU community has grown to 130,000 learners served per year50,000 degree-seeking students and 80,000 workforce and professional development studentsand 230,000 alumni around the globe, many of whom serve in helping industries such as business, education, health care, cybersecurity, and law and criminal justice. To learn more about National University's new possibilities in education including next-generation education, credential-rich education, and whole human education, visit NU.edu.

Media Contact

Ashleigh Webb, National University, 760-889-3494, [emailprotected], https://www.nu.edu/

Twitter

SOURCE National University

Read the original:

From Troops to Tech Leaders: National University Paves the Way for Service Members to Transition into AI and Data ... - PR Web

Hey there, Im excited to share my personal journey with a revolutionary analytics platform I recently discovered, Microsoft Fabric.

Microsoft Fabric represents a paradigm shift in the way Power BI users interact with and visualize data. By leveraging advanced technologies and cutting-edge design principles, Microsoft Fabric introduces a new era of intuitive and immersive data experiences.

Microsoft Fabric is an end-to-end analytics solution with full-service capabilities including data movement, data lakes, data engineering, data integration, data science, real-time analytics, and business intelligence all backed by a shared platform providing robust data security, governance, and compliance.

Your organization no longer needs to stitch together individual analytics services from multiple vendors. Instead, use a streamlined solution thats easy to connect, onboard, and operate.

When I first learned about Microsoft Fabric, I was impressed by its promise to reshape how everyone accesses, manages, and acts on data and insights. In the past, it was a challenge to connect every data source and analytics service together now, its all possible on a single, AI-powered platform.

For instance, imagine having a data estate sprawled across different sources and platforms. As a data engineer, its a daunting task to connect and curate data from these different sources.

One of the biggest hurdles in data analysis is managing AI models. But with Microsoft

The rest is here:

Introducing Microsoft Fabric: Will Power BI Be Replaced in 2024? - DataDrivenInvestor