The Regents Medal for Excellence in Teaching is awarded by the Board of Regents as tribute to faculty members who exhibit an extraordinary level of subject mastery and scholarship, teaching effectiveness and creativity and personal values that benefit students.

Rosanna Alegado is an associate professor of oceanography in the University of Hawaii at Mnoa School of Ocean and Earth Science and Technology (SOEST). Her work involves meaningful academic collaborations and partnerships with Indigenous communities.

She led SOESTs significant curriculum revision toward a required immersive course to ground all incoming graduate students in an understanding of working as marine biologists within Hawaiian culture. Its success has been recognized by the National Science Foundation with multi-year funding to foreground Indigenous knowledge, practices and values, and to transform and Indigenize higher education in STEM.

Alegado is regarded as an influential educator for other teaching faculty, as well as her students. She said, By challenging my students to integrate multiple didactic frameworks, one can achieve the most comprehensive understanding of a subject.

Her colleagues say that Rosie is not popular by being easy, and that her efforts are the epitome of teaching exceptionalism.

Tammy Hailipua Baker is an associate professor of theatre and dance in the University of Hawaii at Mnoa College of Arts, Languages & Letters. As a steward of Indigenous knowledge, she fulfilled that kuleana (responsibility) by building the Hawaiian Theatre Program, the only one of its kind focused primarily on performance.

A colleague, who was also her student in Hawaiian language, views the experience of acting in her productions as a master class in pedagogy. Professor Baker is continually supporting students and others in the production of 40 performers in speaking and singing lines individually and collectively. [She was] clearly the director throughout, nevertheless each actor (students) and production staff (teachers) were all made to feel their work was necessary and appreciated.

Baker is internationally recognized, the first from Hawaii to receive the Kennedy Centers Medallion of Excellence. A reviewer of her plays describes them as guides to restoring language and reclaiming the stories of generations of Indigenous populations; gifts to a culture whose language and history have been suppressed. Her transformative work shines through the passion, voice and aloha spirit of her students.

Richard C. Chen is an associate professor at the William S. Richardson School of Law at the University of Hawaii at Mnoa. He brings patience and empathy to all his interactions with students, never assuming the problem is with the students. This tenet is a teaching practice that extends into a way of modeling for the students as they enter the profession of law, as lawyers who seek to listen, learn and improve throughout their careers.

A cohort of 19 evening students for four straight semesters signed an enthusiastic letter of support for Chen, stating they collectively hope that our endorsement can begin to illuminate our appreciation of his talents as an educator and the positive impact he made during the formative stages of our legal education.

A colleague stated, Who wouldnt want to be in his classes? He is a professor whose empathy, kindness, brilliance and skill shine through in everything he does and it is elevating, inspirational and contagious.

Lincoln A. Gotshalk is a professor of kinesiology and exercise science in the University of Hawaii at Hilos College of Natural and Health Sciences. He is a musculoskeletal physiologist, anatomist and exercise physiologist with a strong background in muscular strength and power training and total body systemic response to exercise and stress.

He advises students, and teaches anatomy and physiology, research methods, nutrition and the science of diet and weight control, basic and advanced kinesiology courses, physiology of exercise and the science behind athletic training programs. Gotshalk is the director of the Laboratory for Exercise Sciences, which manages concurrent research projects.

Dr. Gotshalk most definitely has the ability to make every student feel appreciated and an important part of both the classroom and the lab group, noted a nominator. The experiences I have gained are ones I will never forget and I am thankful for all he has done to help me find my place in the UH Hilo community.

Karadeen Kam-Kalani is a professor of speech at Honolulu Community College. Her teaching philosophy recognizes that positive encouragement goes a long way in helping students gain the confidence they need to become better public speakers.

She is an inspiring and motivating instructor who strives to provide an environment for her students to foster self-discovery, steady improvement and growing confidence.

One student, self-conscious about his stutter, was nervous about taking a speech class. In Kam-Kalanis course, however, he learned to take a breath between sentences, use hand gestures to complement his talking points, and engage his audience with thoughtful questions. Her positive feedback helped him to improve his speaking capabilities.

The highlight of his learning journey came when one of his speeches was chosen as an example for other students to emulate. When he was asked how this recognition made him feel, his face lit up and he said, I felt awesome!

Tiffany-Joy Kawaguchi, serves as the program director and interim academic fieldwork coordinator in the occupational therapy assistant (OTA) program at Kapiolani Community College. Kawaguchi is an occupational therapist (OT) with more than 22 years of experience.

In 2015, Kawaguchi started a federally funded pro-bono clinic for the OTA program based on her belief that through doing, students become what they have the capacity to be. She utilizes meaningful experiences and intentional practice opportunities to help students access and then apply critical pieces of information to the OT process.

Dr. Tiff is undeniably dedicated to enabling her students to succeed, said an OTA program student. She accommodates numerous learning styles, grades fairly and offers detailed feedback so we know how to improve. Despite the endless list of things she has to do, she makes each one of us feel valued.

In 2016, Kawaguchi received the Laura N. Dowsett OT of the Year Award from the OT Association of Hawaii and was selected to represent Kapiolani CC in the inaugural Hawaii Association for Career and Technical Education Emerging CTE Leader Program in 2018. In 2021, Kawaguchi was awarded the Francis Davis Award for Excellence in Undergraduate Teaching.

Kamuela Kimokeo is the director of the Hawaii Music Institute and head of the music program at Windward Community College, where he teaches ukulele and slack key guitar. He created the groundbreaking Kaohekani Hawaiian music certificatea series of 8-week online classes taught by some of Hawaiis legendary artists.

Kimokeo shares his passion for music and instills in his students the joy of learning.

Ive come away from his courses a better musician and have a much better understanding and appreciation for the music of Hawaii, said one student. I am very proud to say that I have composed my own song.

The American Educational Research Association recently recognized Kimokeo for his research on song composition and performance as educational tools of personal empowerment. He earned his PhD in curriculum and instruction with a music emphasis, and his MEdT from UH Mnoa.

Kimokeo performs with Jerry Santos and his own N Hk Hanohano award-winning group Hiikua.

Monica LaBriola is an assistant professor of history in the University of Hawaii at Mnoa College of Arts, Languages & Letters. Her work focuses on engaging, yet challenging approaches to the area of Pacific studies, at the forefront of instructional excellence at UH Mnoa, while touching lives beyond the academic community.

At public forums and conferences, LaBriola draws diverse cultural workers passionate about the Pacific region as well as academics. Her guidance and vision on the development of resources in this area is praised by a colleague, who said that LaBriolas editorship of Teaching Oceania has impacted education across Hawaii, the Pacific, nationally and internationally.

She initiated and led two cohorts of Women in Pacific Studies, and is lauded by colleagues and students for successfully supporting the education of the student community experiencing the least educational equity at UH Mnoa and across the UH System.

A cohort member wrote, Professor LaBriola acknowledges the complexity of the university and encourages us to continue in academia while also dreaming of alternatives to knowledge production and dissemination.

Donald K. Maruyama is a culinary arts professor at Leeward Community College. Prior to joining Leeward CC as a chef instructor in 2007, he spent more than 20 years in the food and beverage industry.

He served as the culinary arts program coordinator from 2016 to 2020. For the past three years, Maruyama has been the professional arts and technology division chair, overseeing the automotive technology, culinary arts and digital media programs.

Dons strength as an instructor is his enthusiasm to share his personal experiences to his students about how true and real it is working in the industry as he does not sugarcoat, said Ron Umehira, dean of career and technical education. His strengths as a program and division colleague are his patience to listen, gather the facts, analyze and then support the best course of action.

Maruyama attended Kapiolani Community College, the University of Hawaii at Mnoa and Grinnell College. He currently serves as a Hawaii Culinary Education Foundation advisory board member, Hawaii Food & Wine Festival committee member, and on the board of directors for Hawaii Restaurant Association Education Foundation.

Summer Maunakea is an assistant professor in curriculum studies in the University of Hawaii at Mnoa College of Education. She grounds her teaching practices in academic rigor, agency and aloha. A colleague described observing her as expertly weaving place-based teaching and learning, ina (land)-based education and stewardship and Indigenous epistemology and practice.

She holds herself to high expectations as a teacher, knowing her instruction must have a positive intergenerational impact for students to grow holistically into healthy individuals capable of making pono (righteous) decisions and contributing to their communities.

For me, this is what love looks like in education, said a graduate student. The love and community that Professor Maunakea cultivates in the classroom supports immense intellectual experimentation and risk taking. I am immensely grateful for her teaching.

To a senior colleague, her teaching, research and service are considered to be visionary, meaningfully advocating for Indigenous education, sustainability, eco-justice, inclusive outdoor education and school-community partnerships.

Alexander Stokes is an assistant professor of cell and molecular biology at the John A. Burns School of Medicine at the University of Hawaii at Mnoa. They developed practices to create inclusive, rigorous classroom settings with each student fully engaged. One method, Problem-Based Learning, values students directing their own learning, developing team-learning skills and assuming very active roles in their education.

Stokes developed a tool kit for inclusive pedagogy reflecting under-represented, predominantly female, low-income, first-generation students in undergraduate classes. A student said, Professor Stokes utilizes a cutting-edge hybrid teaching style that unlocks students intellectual potential by acting as a conductor of a symphony in a collaborative learning orchestra. I was imbued with a passion and was inspired to further academic pursuits.

A colleague said, Alex is that professor, the one who transports students to a new view of themselves. Stokes is a leader in pedagogical innovation at the interface between biology, biomedicine and data science education in Hawaii.

Shawn Sumiki is an instructor of culinary arts at Hawaii Community College. Known for his outstanding work ethic, calm demeanor and generosity, Sumiki has taught at Hawaii CC since 2008 and is an alumnus of the program he now leads.

Culinary Arts students value his talent and experience, and appreciate the positive environment he creates in the program.

Chef Shawn is an incredible teacher, and I am so grateful to have him as my culinary instructor, one student wrote in support of his nomination. He creates a friendly environment around him that encourages learning and growth.

Sumiki is very supportive of campus events and collaborates frequently with community partners on opportunities that provide students with real-world experience and networking in the food and hospitality industry. He has donated his time and talent preparing meals to support disaster relief efforts on Hawaii Island. In 2019, Sumiki was honored with the Hawaii Community College Outstanding Service Award.

Maureen Mo Tabura is an assistant professor in the nursing program at Kauai Community College and has been teaching for more than 17 years. She has been the nursing program coordinator since 2016. She and Division Chair Tammie Napoleon are the face of the Kauai CC nursing program.

Professor Maureen Mo Tabura is one of a kind. Her commitment to teaching is immeasurable, said nursing student Ma Suerte Rebucal. She is not only excellent in imparting her knowledge through her life-changing lectures, but she brings out the best in us. I have encountered great lecturers as well as teachers who bring out the best in their students, but I have never seen someone who does both except for Professor Mo.

Tabura earned her BS of Nursing at the College of New Jersey, and her Masters in Nursing Education from UH Mnoa. She was a UH Community Colleges Leadership Champion from 2011 to 2012. She has been a board member of Kauai United Way since 1996, receiving the Founders Award in 2008. Tabura also served on the Kauai County Board of Ethics from 2014 to 2018.

Eli Tsukayama is an associate professor of marketing at UH West Oahu. His research focuses on understanding individual differences (e.g., personality traits) that can be used to segment and understand target markets. He has an extensive background in statistics as well as seven years of experience working in the corporate world as an Information Technology consultant.

One of Tsukayamas students said, Although I was nervous in the beginning with his reminder of how hard the course was, I decided to stick it out and Im glad I did because I learned a lot of life lessons from himto take criticism as a lesson, or how to properly ask qualitative and quantitative questions.

Tsukayama was among the authors of A megastudy of text-based nudges encouraging patients to get vaccinated at an upcoming doctors appointment. The paper was published on April 29 in the Proceedings of the National Academy of Sciences, the official journal of the National Academy of Sciences and one of the worlds most-cited and comprehensive multidisciplinary scientific journals.

Rosemary Rosie Vierra is a professor and the coordinator for UH Maui Colleges dental hygiene program. She has taught in the program since 2008. Many students attest to Vierras dedication and passion for the success of her students as evident in the hours she spends teaching, coordinating and striving to elevate the program.

One student described Vierras authentic concern for student well-being and success: She always puts the students first and makes us feel like our voices matter. She not only cares about our success but also our personal well-being. She is a big advocate for mental health, which I appreciate very much.

Vierras energy and connection with the community enable her to create enriching learning opportunities such as service learning, outreach to public high schools and partnerships with businesses and organizations that provide students valuable experiences in the field.

One student said, Since the beginning of our cohort in the fall of 2021, she has gone above and beyond for us students to succeed. Her priority is always to help us succeed, whether its volunteering to help us meet our clinical requirements to finding us patients.

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Board of Regents medals awarded for teaching excellence ... - University of Hawaii

New strategic collaboration with two of New Jerseys leading polytechnic universities New Jersey Institute of Technology (NJIT) and Stevens Institute of Technology (Stevens) to educate, engage and inspire the next generation of data science talent in the region

WHIPPANY, N.J., April 24, 2023--(BUSINESS WIRE)--Today the Consumer Health North America division of Bayer announced a new strategic collaboration with two of New Jerseys leading polytechnic universities New Jersey Institute of Technology (NJIT) and Stevens Institute of Technology (Stevens). Bayer is partnering with these universities to create unique learning opportunities for students in the field of data science as a way to educate, engage and inspire the next generation of data science talent in NJ.

A growing and aging world population and the increasing strain on natures ecosystems are among the major challenges facing humanity today. As one of the worlds leading life sciences companies, Bayer plays a key role in devising solutions to tackle these challenges in line with its vision "Health for all, Hunger for none." The Consumer Health division provides products and services that empower consumers to take charge of their personal health. From treating common ailments to supporting everyday nutrition, Bayer is constantly innovating to find new ways to help people live healthier lives.

"Data is core to informing how we market our products to our consumers and evolve with their changing needs from developing the right messaging to price-point to launch timing. As we continue our digital transformation at Bayer, we expect to engage data science talent to build solutions that leverage our unique data assets. Both NJIT and Stevens generate excellent talent that is critical to our future success in this space," said Manik Gupta, Chief Analytics and Insights Officer, Bayer Consumer Health North America. "At Bayer, we come to work every day because we believe in our purpose Science for a Better Life. We are confident that students at these two institutions will find our vision and purpose compelling," added Gupta.

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As part of Phase One of this new collaboration, the Consumer Health North America division will offer students from NJIT and Stevens multiple avenues to engage with the company, including capstone projects, co-ops, summer internships and sponsored R&D projects. Bayer employees will also provide interview preparation and training as well as showcase the Consumer Health vertical.

"We are delighted to embark on this forward-looking partnership with Bayer Consumer Health, in collaboration with our colleagues at Stevens Institute of Technology," said Craig Gotsman, Dean of Ying Wu College of Computing at NJIT. "The College of Computing has an extensive corporate network which provides our students with many opportunities, and we are keen to expose them to as many companies as possible. Graduating more than 1,000 computing professionals every year, we are a significant contributor to the regional tech talent pipeline. With a significant life sciences partner such as Bayer we look forward to focusing on data science activities and talent in that space, leveraging our new department of Data Science and research Institute for Data Science."

Through this partnership with Bayer, Stevens and NJIT data science students will gain experience in areas such as data preparation, data modeling, enterprise level forecasting, and precision marketing. Bayer is proud to be investing in future talent in New Jersey, which is also home to Bayers U.S. Headquarters.

"Stevens Institute of Technology has a long tradition of preparing the workforces of tomorrow through student research, experiential education and capstone projects particularly in data science," said Gregory Townsend, Senior Director of Corporate, Government and Community Relations. "Stevens' research enterprise is focused on producing results that benefit society, which includes initiatives that support consumer health and well-being. Our data science research, in particular, leverages our expertise in artificial intelligence, machine learning, systems engineering and more. We're very pleased to begin this enhanced relationship with Bayer Consumer Health and our collaborators at NJIT."

About Bayer

Bayer is a global enterprise with core competencies in the life science fields of health care and nutrition. Its products and services are designed to help people and the planet thrive by supporting efforts to master the major challenges presented by a growing and aging global population. Bayer is committed to driving sustainable development and generating a positive impact with its businesses. At the same time, the Group aims to increase its earning power and create value through innovation and growth. The Bayer brand stands for trust, reliability and quality throughout the world. In fiscal 2022, the Group employed around 101,000 people and had sales of 50.7 billion euros. R&D expenses before special items amounted to 6.2 billion euros. For more information, go to http://www.bayer.com.

Forward-Looking Statements

This release may contain forward-looking statements based on current assumptions and forecasts made by Bayer Group or subgroup management. Various known and unknown risks, uncertainties and other factors could lead to material differences between the actual future results, financial situation, development or performance of the company and the estimates given here. These factors include those discussed in Bayer's public reports which are available on the Bayer website at http://www.bayer.com. The company assumes no liability whatsoever to update these forward-looking statements or to conform them to future events or developments.

Social Media Channels

- Facebook: BayerUnitedStates - Twitter: BayerUS - Instagram: BayerUS - YouTube: BayerUS

Bayer and the Bayer Cross are registered trademarks of Bayer.

View source version on businesswire.com: https://www.businesswire.com/news/home/20230424005215/en/

Contacts

Nicole HayesDirector, U.S. External CommunicationsNicole.Hayes@Bayer.com (201) 421-5268

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Bayer Announces New Strategic Collaboration with New Jerseys Leading Polytechnic Universities to Cultivate Data Science Talent in Region - Yahoo...

Data science that is the gathering, analysis and use of data plays a central role in our modern world. From Big Tech to transportation, commerce through to government, it has been revolutionary in many aspects of our life, and healthcare is no exception. Having ushered in in new ways of fighting disease and improving the lives of patients, we are using data science to help us better identify people at risk of certain diseases, find candidates for clinical trials, develop new therapies, and respond to real and potential disease outbreaks. Without a doubt, it has the potential to improve public health, save lives and in a very real and significant way to make the world a healthier place.

We have talked about how data and health converge with Kris Sterkens, Company Group Chairman of Janssen Europe, Middle East and Africa (EMEA).

What is the role of data science in healthcare?

Data science is playing an increasingly significant role across the healthcare Industry. In a recent Economist Intelligence Unit survey of data scientists and professionals, 42% of respondents viewed healthcare as the sector in which data analytics had the potential to make the greatest impact.[i]

Data science allows us to process and manage the large quantities of data generated by healthcare systems, and then to analyze and organize this data for maximum effect. Through tracking and predictive modelling, data can help predict disease outbreaks. If we could do this, we could move more toward a well-care era, focused on prevention and early detection, and this could truly change the trajectory of human health.

As the global healthcare community (and the world in general) becomes more digitally focused, data science will be the key to unlocking the vast potential of our growing digital infrastructure and the valuable data it generates.

When it comes to data, what did the healthcare industry learn from the COVID-19 pandemic?

Covid-19 data became something we all became very familiar with during the crisis as it was often at the core of news reporting. This information became an essential tool in better understanding and managing the pandemic, and it offers a very recent and practical application of a surveillance framework known as the Three M Theory

In the early stages of the pandemic, epidemiologists (often referred to as disease detectives in medicine as they study the cause of diseases, identify those at risk and determine possible ways to prevent or control the spread) were able to gather accurate and comprehensive data sets (Monitor) and use advanced analytics to understand how COVID-19 was spreading worldwide, where it would likely peak next and where the potential for viral mutations would be highest (Model).

These predictions proved remarkably accurate and meant clinical trial sites could be established in hot spots where participants would be more likely to have exposure to COVID-19. In turn, this allowed for a more rapid assessment of a vaccines efficacy (Manage) across multiple COVID-19 variants.

Ultimately, what the COVID-19 pandemic highlighted was the urgent need to improve our digital infrastructure. Doing this would enable the global community to discover and implement new ways to use data science which would improve global health and lead to better outcomes in the future.

Another key learning from the pandemic was the importance of different countries looking to one another, to share tools and approaches that would allow them to quickly use and understand data and act on it. The healthcare sector is already coordinating global support for sharing data for future pandemics; for example, the newWHO Berlin Hub for Pandemic and Epidemic Intelligence, theDigital Health Center of Excellence (DICE)launched by UNICEF and WHO, and PANDEM-2 an EU-funded project that aims to develop new solutions for efficient, EU-wide pandemic management.

Does internet epidemiology and data science have the power to predict and prevent future diseases and virus outbreaks?

Internet epidemiology(or digital epidemiology) is the gathering of health-related data using digital sources including the internet, mobile phones, and other online technology. This approach absolutely has the potential to predict and prevent future health-related events and emergencies.

During the COVID-19 pandemic, we saw internet search data, digital contact tracing and social media analytics all play their part in predicting outbreaks and confronting the spread of the virus.

More recently, Germany has been using de-identified tracking apps to spot anomalies in peoples day-to-day habits such as normally active individuals skipping exercising or regular walks to predict when a community is likely to experience an outbreak[ii].

Going forward, its likely that data science could help mitigate the effects of future pandemics. Its worked before: studies have shown that models can be created to analyze Google search queries, in order to track influenza-like illnesses across a population.[iii] These same methods could also have alerted health authorities to recent emerging threats such as Zika in Columbia and plague in Madagascar. If we had tracked internet search trends in the past, we could have intervened in these outbreaks and prepared healthcare facilities for what was coming. This may have reduced patient symptoms and prevented further infections.

What are the biggest challenges to introducing innovations like internet epidemiology and other big-data analytics initiatives to help predict and prevent disease?

There are ethical questions concerning the use of data and the tension between individual privacy and the broader needs of society. Data has tremendous power to help solve the next big health threat, but trust is paramount, and we must work with policymakers and engage the public to ensure we arrive at a solution that respects the individual and protects communities.

A more technical challenge is that of improving our global digital infrastructure to allow us to exploit the full potential of data science. For example, South Africas well-established data-surveillance capabilities gave us an early warning of the dangers of the Omicron variant[iv], and the Dominican Republic now has the research capability to monitor annual outbreaks of arboviruses like Chikungunya, Zika and Dengue.4

However, many other countries are not as advanced when it comes to their data-surveillance and data-handling capabilities, leading to poor monitoring of certain diseases and drug resistance.

Supporting each other to improve the global digital infrastructure will allow greater collaboration and data sharing and help us address issues like the lack of historical data, access to real time data, interoperability, and security.

With such big competition for talent, what gives the healthcare industry the edge over tech giants?

A career in data science and healthcare puts you in a position to positively impact the lives of patients and the course of human health.

Beyond this, the health industry, is already utilizing data to help solve todays biggest health problems. Using AI to identify patients likely to have rare, difficult-to-detect diseases can help us in the search for candidates for clinical trials. By analyzing histopathology images from people with bladder cancer, we can detect mutations that may make them more likely to respond to new potentially lifesaving therapies. Weve also developed an AI-enabled platform that will allow us to leverage real-world data to help develop treatments for major depressive disorders.[v]

At Janssen, we are using the power of data science across our entire R&D portfolio, using AI and machine learning to generate high-value biological insights and targets. We have built a first-of-its-kind data analytics platform that integrates and links diverse data sets ranging from pre-clinical and clinical to real-world data, and we are actively engaged in the thriving data science community through more than thirty active collaborations, equity investments and more.[vi]

To drive change within the industry, we need to right people people with a passion for improving global health and wellbeing. I started my career in finance, but I saw how my father a physician was able to touch the lives of patients every day. observing his career, and reflecting on what mattered to me, I knew I wanted to make the move to healthcare. It was one of the best decisions of my life.

Put simply, a career in healthcare data science offers a rare and exciting opportunity to work at the cutting edge of digital technology and at the same time, to help make the world a healthier place.

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When Data And Health Converge: How The Healthcare Industry Is ... - Dataconomy

When working with data and different variables, assigning one variable or value to be greater than the other is easy. We may assume that a specific variable or data point had more impact on the output, but how sure are we that the other variables have an equal impact?

In statistics, the base rate can be seen as probabilities of classes that are unconditional on "featural evidence". You can see the base rate as your prior probability assumption.

Base rates are important tools in research. For example, if we are a pharmaceutical company and are in the process of developing and dispatching a new vaccination, we want to look into the success of the treatment. If we have 4000 people who are willing to take this vaccination, and our base rate is 1/25.

This means that only 160 people will successfully be cured by the treatment out of 4000 people. In the pharmaceutical world, this is a very low success rate. This is how base rates can be used to improve research, and accuracy and ensure that the product will perform well.

If we split the words up, it will give us a better understanding. Fallacy means a mistaken belief or faulty reasoning. If we now combine that with our definition of the base rate above.

The base rate fallacy, also known as base rate bias and base rate neglect, is the likelihood of judging a specific situation, whilst not taking into consideration all relevant data.

The base rate fallacy has information about the base rate as well as other relevant information. This can be due to various reasons such as not thoroughly examining and analyzing the data properly, or ignorance to favour a specific part of the data.

The base rate fallacy describes the tendency for someone to disregard the existing base rate information, to push and be in favour of the new information. This goes against the fundamental rules of evidence-based reasoning.

You will typically hear about this happening in the financial industry. For example, investors will base their buying or sharing tactics on irrational information, which leads to fluctuation in the market - despite having the base rate to their knowledge.

So now we have a better understanding of the base rate and base rate fallacy. What is its relevance and impact in Data Science?

Weve spoken about probabilities of classes and taking into consideration all relevant data. If you are a data scientist, or machine learning engineer, or getting your foot in the door - you will know how important probabilities and relevant data are to producing accurate outputs, the learning process of your machine learning model and producing high-performance models.

To analyse and make predictions about data or for your machine learning model to produce accurate outputs - you need to take into consideration every bit of data. As youre scanning through your data the first time you see it, you might consider some parts relevant and other parts irrelevant. However, this is your judgement and is not yet factual till proper analysis has taken place.

As mentioned above, the initial base rate helps you ensure accuracy and produce high-performance models. So how can we do this in Data Science?

A confusion Matrix is a performance measurement that provides a summary of prediction results on a classification problem. The confusion matrices are all based on the outcome: True, False, Positive, and Negative.

The confusion matrix represents our model's predictions during the testing phase. The false-negative and false-positive in the confusion matrix are examples of base rate fallacy.

A confusion matrix can calculate 5 different metrics to help us measure the validity of our model:

To better understand a confusion matrix, it's better to look at a visualisation:

As youre going through this article, you can probably think of a variety of causes of base rate fallacy, such as not taking all the relevant data into consideration, human error, or lack of precision.

Although these are all true and add to the cause of the base rate fallacy. They all relate to the biggest problem of ignoring the base rate information in the first place. Base rate information is often ignored as it is considered irrelevant, however, the base rate information can save people a lot of time and money. Using the base rate information available allows you to be more precise in making probabilities about whether a given event will occur.

Using the base rate information will help you avoid base rate fallacy.

Being aware of fallacies such as opinions, automatic processes, etc - will allow you to combat the issue of base rate fallacy and reduce potential errors. When you are measuring the probability of a certain event occurring, Bayesian methods can help with this to reduce the base rate fallacy.

The base rate is important in data science as it equips you with a base understanding of how to assess your study or project, and fine-tune your model - providing an overall increase in accuracy and performance.

If you would like to watch a video about base rate fallacy in the medical field, check out this video: Medical Test ParadoxNisha Arya is a Data Scientist, Freelance Technical Writer and Community Manager at KDnuggets. She is particularly interested in providing Data Science career advice or tutorials and theory based knowledge around Data Science. She also wishes to explore the different ways Artificial Intelligence is/can benefit the longevity of human life. A keen learner, seeking to broaden her tech knowledge and writing skills, whilst helping guide others.

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The Base Rate Fallacy and its Impact on Data Science - KDnuggets

The top 5 legit ways to make money as a data Science influencer by leveraging their knowledge and expertiseIntro:

Data Science is an interdisciplinary field comprising collecting, manipulating, storing, and analyzing data. The surge in data science with new technologies being developed. Professionals with a unique set of skills and knowledge can be leveraged to make money. However, there are many legitimate ways to make money as a data science influencer.

Data Science Influencers have a rising demand around the world. They are experts in data science whose knowledge and insights go into ML, data analysis, Data Engineering, Statistics, and data visualization. They work with data science tools and platforms, giving influencers practical knowledge, such as Python, Tableau, SQL, R, Spark, or KNIME. These influencers generally motivate aspiring data scientists and help companies to adopt data-driven approaches to make decisions based on data as data is an important resource for organizations in the digital age. Some top data science influencers in the world include Carla Gentry, Andrew Ng, Cassie Kozyrkov, Bernard Marr, Dr. Ganapathi Pulipaka, etc.

Influencers do make upload various content not only on one social media platform but on their multiple social media accounts. It is an effective way to reach a wider audience and establish your brand. The platforms include Instagram, Facebook, LinkedIn, YouTube, Twitter, TikTok, etc. Influencers should be active in at least as many platforms as possible as it can open themselves to more potential ad revenue, partnerships, and brand opportunities. Influencers tend to use each platform differently but with the same purpose. For eg: Instagram is ideal for sharing images, short videos, etc whereas LinkedIn is ideal for sharing long, form content such as blog posts and articles. Thus, its important to tailor the content to each platform and engage with the followers to build a strong community.

Another popular way to make money for data science influencers is affiliate marketing. Being an affiliate, influencers need to promote a brand, product, or any similar service and earn commission through the Influencers unique affiliate link. Influencers promote products that align with their ethics, and sharing honest opinions about the same with an experience is required in this way. This method of marketing by data science influencers enables the audience to find the products benefits depending on the influencers content. Data science influencers usually promote products in the same industry like software or tools for Data analysis and ML. The main thing about affiliate marketing is that it requires a same to be fully closed before any commission payment is released.

As a data science Influencer, one must master all trades when helping a company in data science. Al the concepts. Services like teaching, training, and consulting enable influencers to monetize their knowledge. They can sell this knowledge by taking online classes and creating courses and workshops on a topic related to data science. Keeping the prices lesser compared to other courses brings trust from the audience to you. A professional in data science will be able to create good quality educational content. Other than teaching, influencers do help with training to improve the data science capabilities of companies thus making companies make better data-driven decisions. Therefore, these services help companies to optimize their data science operations.

Influencers team up with other Influencers and Creators that help leverage and engage more followers and a perfect way to earn more money. Not only this, it expands the reach and credibility as well. As said, influencers do promote products or services that align with their values and interest and to collaborate with them, they look for the same. This helps in sharing expertise and learning from them in return. Collaboration not only helps earn but also helps share your expertise with other Influencers and creators and learn from them. It gains you reach and more followers. The different ways of collaboration include co-creation, hosting joint events, etc, etc. The only thing to be sure of is the person you are collaborating with, develop a plan and leverage each others audiences.

Product Creation of product development is the final method for making money by data science influencers. The product developed would be data science-related such as a tool, book, or software. Quality is a must when it comes to development and the second thing is the price. Price should be competitive when looking for similar products in the market, and price accordingly. The best thing is the influencer herself/himself can promote through their social media channels or any other marketing method. The product should be relevant to the audience that caters to their needs.

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Top 5 Legit Ways to Make Money as a Data Science Influencer - Analytics Insight