

Did you know that the world’s first computer programmer was a woman? That’s right, Ada Lovelace, an English mathematician and writer, is widely considered the first person to recognize the potential of a computer. She realized it could go beyond mere calculations and handle symbols and logical operations (besides numbers).
Yet, many scholars still argue that Lovelace’s contributions to the field have been vastly overstated, going as far as denying them altogether. Unfortunately, it all boils down to a belief that a woman “didn’t do, and shouldn’t do, and couldn’t do” such a thing.
Perhaps similar beliefs are the reason why women continue to be underrepresented in the field of computing today. Since Lovelace, many female tech visionaries have made significant and varied contributions to this field. And yet, the gap persists.
Is this how it will always be? Or can something be done to pave the way for a more inclusive future in computing? That’s what this article will explore.
The History of Women in Computing and Computer Science
Ada Lovelace’s work in the mid-19th century laid the foundation for modern computing, earning her the flattering title of “World’s First Computer Programmer.” But she wasn’t the only woman to make monumental contributions to computer science.
To understand the ever-growing push for equality in computing, you must first take a journey throughout history, highlighting some of these women’s most notable (and often overlooked) contributions in this field.
1952: Grace Hopper
Grace Hopper, a U.S. Navy admiral and computer scientist, invented the first computer compiler, translating English instructions into the target computer’s language. Code optimization, formula translation, and subroutines are just some computing developments inspired by Hopper’s groundbreaking work.
That’s why it shouldn’t be surprising that the world’s largest gathering of women technologists is named in her honor – the Grace Hopper Celebration.
1962: Katherine Johnson
Katherine Johnson, one of the women immortalized in the 2016 book and film “Hidden Figures,” was the one to run equations needed for John Glenn’s historic orbital flight in 1962. She would go on to work on other groundbreaking NASA missions, including the Apollo program.
1970s: Adele Goldberg
Though Adele Goldberg has made many contributions to computing, she’s best known for developing the Smalltalk programming language, which was crucial in shaping modern graphical user interfaces.
1985: Radia Perlman
The fact that Radia Perlman is often referred to as the “Mother of the Internet” probably tells you all you need to know about her importance in computing history. Perlman is renowned for inventing the Spanning Tree Protocol, a technology that greatly enhanced the reliability and efficiency of network communication.
1997: Anita Borg
In 1997, a U.S. computer scientist, Anita Borg, founded the Institute for Women in Technology. This institute had (and continues to have) two simple goals – to increase the representation of women in technical fields and enable them to create more technology.
2018: Joy Buolamwini
Joy Buolamwini, currently one of the most influential women in computer science, is primarily known for her groundbreaking graduate thesis uncovering significant racial and gender bias in AI services. She also founded the Algorithmic Justice League, a non-profit organization focusing on making tech more equitable and accountable.
The Present State of Women in Computing and Computer Science
There have undoubtedly been strides in increasing women’s representation in computing and computer sciences. Though it’s challenging to determine what came first, one of the most significant moves in this regard was giving credit where credit’s due.
For instance, the “ENIAC Six,” the six women tasked with programming the ENIAC (Electronic Numerical Integrator and Computer), weren’t initially recognized for their historic contributions. It took decades for this recognition to come, but this doesn’t make it any less monumental.
But even with these recognitions, initiatives, awareness campaigns, and annual events, the gender gap in computing persists. This gap can be seen by examining the number of women in three crucial computing and computer science stages – education, workforce, and leadership.
Today, there’s no shortage of degree programs in computer science, both traditional and online. But one look at the data about the students attending these programs, and you’ll understand the issue. Though more women hold tertiary degrees in the EU, they’re notably absent in computer science-related fields.
The situation in the computing workforce is no better. Currently, women occupy only 22% of all tech roles across European companies, and to make matters worse, this figure is on a downward trajectory.
Just when you think it can’t get any more dismal, take a look at the highest levels of professional leadership in computing and technology. One look at the C-suite (senior executives) stats reveals abysmal figures. For instance, only 9% of the U.K. C-suite leaders are women.
The Reasons Behind the Current State of Women in Computing
By now, you probably agree that something needs to change to address the gender disparity in computing. And it needs to change drastically. But to propose effective solutions, you must first examine the root of the problem.
Though it’s challenging to pinpoint a single explanation for the underrepresentation of women in computing, let’s break down factors that might’ve contributed to the current situation.
The Lack of Women Peers and Mentors
Paradoxically, women might be less willing to enter the computing field due to the lack of visible representation and mentorship. Essentially, this creates a never-ending cycle of underrepresentation, thus only deepening the gender gap.
Societal Stereotypes and Biases
Deep-rooted stereotypes about gender roles can, unfortunately, dissuade women from pursuing computer science. The same goes for stereotyping what average computer scientists look like and how they act (the “nerd” stereotype often reinforced by media).
Fortunately, initiatives promoting diversity and inclusion in computer science are breaking down these stereotypes gradually yet efficiently. The more women join this field, the more preconceived (and misguided) notions are shattered, demonstrating that excellence in computing knows no gender.
Hostile or Unwelcoming Work Environments
It’s well-documented that highly collaborative fields were less welcoming to gender minorities throughout history, and computer science was no different. Though the situation is much better today, some women might still fear working within a predominantly male team due to these lingering concerns from the past.
Educational Disparities
Numerous studies have shown that precollege girls are less likely to be exposed to various aspects of computing, from learning about hardware and software to dissecting a computer. So, it’s no wonder they might be less inclined to pursue a career in computing after lacking exposure to its foundational aspects.
A Worse Work-Life Balance
Many big tech companies are notorious for long working hours. The same goes for computer science as a field. The result? Some women might perceive this field as too demanding and impossible to reconcile with raising a family, leading them not to consider it.
How to Change the Curve
Though the past might’ve seemed bleak for women in computing, the present (and future) hold promise for positive change. Of course, no fundamental changes can happen without collective commitment and decisive action. So, what can be done to change the curve once and for all and promote greater gender diversity in computing?
Striving to Remove the Barriers
So, you believe women should experience all the opportunities that come with a career in computing. But this can only be done by actively addressing and eliminating the barriers impeding their progress in the field.
This means launching campaigns to dismantle the deep-rooted stereotypes, introducing policies to create supportive working (and learning) environments, and regularly recognizing and celebrating women’s achievements in computing.
Making the Field Exciting for Women
Educational institutions and companies also must pull their weight in making the computing field more appealing to women despite the existing challenges. This might involve hands-on and collaborative learning, showcasing diverse role models in the field (e.g., at the annual Grace Hopper Celebration of Women in Computing), and establishing mentorship programs.
Relying on Mutual Support
As long as women have a strong enough support system, they can conquer anything, including the often daunting field of computer science. Here are some organizations that can provide just that: (See if you can spot some familiar individuals in their names!)
Other than that, women now have access to a whole host of resources and opportunities they can use to advance their knowledge and excel in the field. These include the following:
- Coding bootcamps
- Career fairs for women in tech
- STEM scholarships
Gaining Access to Education
Allowing equal access to education to women might be the most crucial element in changing the curve. After all, proper education serves as a direct gateway to opportunities and empowerment in computer science (and beyond).
With the popularization of online studying, many of the obstacles (both actual and perceived) that traditionally hindered women’s involvement in computing have disappeared. Now, women can learn about (and engage in) computer science from the comfort of their own homes, going at their own pace.
That’s precisely a part of the reason Alona, a Latvian student at the Open Institute of Technology, chose to pursue online education in computer science. Even with two children and a job (and a Bachelor’s degree in linguistics), she can find time to study and potentially earn her degree in as little as two years. Talk about an outstanding work-life balance!
When pursuing a degree in computer science at the OPIT, there are no hostilities, inadequacies, or barriers, only boundless opportunities.
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The world is rapidly changing. New technologies such as artificial intelligence (AI) are transforming our lives and work, redefining the definition of “essential office skills.”
So what essential skills do today’s workers need to thrive in a business world undergoing a major digital transformation? It’s a question that Alan Lerner, director at Toptal and lecturer at the Open Institute of Technology (OPIT), addressed in his recent online masterclass.
In a broad overview of the new office landscape, Lerner shares the essential skills leaders need to manage – including artificial intelligence – to keep abreast of trends.
Here are eight essential capabilities business leaders in the AI era need, according to Lerner, which he also detailed in OPIT’s recent Master’s in Digital Business and Innovation webinar.
An Adapting Professional Environment
Lerner started his discussion by quoting naturalist Charles Darwin.
“It is not the strongest of the species that survives, nor the most intelligent that survives. It is the one that is the most adaptable to change.”
The quote serves to highlight the level of change that we are currently seeing in the professional world, said Lerner.
According to the World Economic Forum’s The Future of Jobs Report 2025, over the next five years 22% of the labor market will be affected by structural change – including job creation and destruction – and much of that change will be enabled by new technologies such as AI and robotics. They expect the displacement of 92 million existing jobs and the creation of 170 million new jobs by 2030.
While there will be significant growth in frontline jobs – such as delivery drivers, construction workers, and care workers – the fastest-growing jobs will be tech-related roles, including big data specialists, FinTech engineers, and AI and machine learning specialists, while the greatest decline will be in clerical and secretarial roles. The report also predicts that most workers can anticipate that 39% of their existing skill set will be transformed or outdated in five years.
Lerner also highlighted key findings in the Accenture Life Trends 2025 Report, which explores behaviors and attitudes related to business, technology, and social shifts. The report noted five key trends:
- Cost of Hesitation – People are becoming more wary of the information they receive online.
- The Parent Trap – Parents and governments are increasingly concerned with helping the younger generation shape a safe relationship with digital technology.
- Impatience Economy – People are looking for quick solutions over traditional methods to achieve their health and financial goals.
- The Dignity of Work – Employees desire to feel inspired, to be entrusted with agency, and to achieve a work-life balance.
- Social Rewilding – People seek to disconnect and focus on satisfying activities and meaningful interactions.
These are consumer and employee demands representing opportunities for change in the modern business landscape.
Key Capabilities for the AI Era
Businesses are using a variety of strategies to adapt, though not always strategically. According to McClean & Company’s HR Trends Report 2025, 42% of respondents said they are currently implementing AI solutions, but only 7% have a documented AI implementation strategy.
This approach reflects the newness of the technology, with many still unsure of the best way to leverage AI, but also feeling the pressure to adopt and adapt, experiment, and fail forward.
So, what skills do leaders need to lead in an environment with both transformation and uncertainty? Lerner highlighted eight essential capabilities, independent of technology.
Capability 1: Manage Complexity
Leaders need to be able to solve problems and make decisions under fast-changing conditions. This requires:
- Being able to look at and understand organizations as complex social-technical systems
- Keeping a continuous eye on change and adopting an “outside-in” vision of their organization
- Moving fast and fixing things faster
- Embracing digital literacy and technological capabilities
Capability 2: Leverage Networks
Leaders need to develop networks systematically to achieve organizational goals because it is no longer possible to work within silos. Leaders should:
- Use networks to gain insights into complex problems
- Create networks to enhance influence
- Treat networks as mutually rewarding relationships
- Develop a robust profile that can be adapted for different networks
Capability 3: Think and Act “Global”
Leaders should benchmark using global best practices but adapt them to local challenges and the needs of their organization. This requires:
- Identifying what great companies are achieving and seeking data to understand underlying patterns
- Developing perspectives to craft global strategies that incorporate regional and local tactics
- Learning how to navigate culturally complex and nuanced business solutions
Capability 4: Inspire Engagement
Leaders must foster a culture that creates meaningful connections between employees and organizational values. This means:
- Understanding individual values and needs
- Shaping projects and assignments to meet different values and needs
- Fostering an inclusive work environment with plenty of psychological safety
- Developing meaningful conversations and both providing and receiving feedback
- Sharing advice and asking for help when needed
Capability 5: Communicate Strategically
Leaders should develop crisp, clear messaging adaptable to various audiences and focus on active listening. Achieving this involves:
- Creating their communication style and finding their unique voice
- Developing storytelling skills
- Utilizing a data-centric and fact-based approach to communication
- Continual practice and asking for feedback
Capability 6: Foster Innovation
Leaders should collaborate with experts to build a reliable innovation process and a creative environment where new ideas thrive. Essential steps include:
- Developing or enhancing structures that best support innovation
- Documenting and refreshing innovation systems, processes, and practices
- Encouraging people to discover new ways of working
- Aiming to think outside the box and develop a growth mindset
- Trying to be as “tech-savvy” as possible
Capability 7: Cultivate Learning Agility
Leaders should always seek out and learn new things and not be afraid to ask questions. This involves:
- Adopting a lifelong learning mindset
- Seeking opportunities to discover new approaches and skills
- Enhancing problem-solving skills
- Reviewing both successful and unsuccessful case studies
Capability 8: Develop Personal Adaptability
Leaders should be focused on being effective when facing uncertainty and adapting to change with vigor. Therefore, leaders should:
- Be flexible about their approach to facing challenging situations
- Build resilience by effectively managing stress, time, and energy
- Recognize when past approaches do not work in current situations
- Learn from and capitalize on mistakes
Curiosity and Adaptability
With the eight key capabilities in mind, Lerner suggests that curiosity and adaptability are the key skills that everyone needs to thrive in the current environment.
He also advocates for lifelong learning and teaches several key courses at OPIT which can lead to a Bachelor’s Degree in Digital Business.

Many people treat cyber threats and digital fraud as a new phenomenon that only appeared with the development of the internet. But fraud – intentional deceit to manipulate a victim – has always existed; it is just the tools that have changed.
In a recent online course for the Open Institute of Technology (OPIT), AI & Cybersecurity Strategist Tom Vazdar, chair of OPIT’s Master’s Degree in Enterprise Cybersecurity, demonstrated the striking parallels between some of the famous fraud cases of the 18th century and modern cyber fraud.
Why does the history of fraud matter?
Primarily because the psychology and fraud tactics have remained consistent over the centuries. While cybersecurity is a tool that can combat modern digital fraud threats, no defense strategy will be successful without addressing the underlying psychology and tactics.
These historical fraud cases Vazdar addresses offer valuable lessons for current and future cybersecurity approaches.
The South Sea Bubble (1720)
The South Sea Bubble was one of the first stock market crashes in history. While it may not have had the same far-reaching consequences as the Black Thursday crash of 1929 or the 2008 crash, it shows how fraud can lead to stock market bubbles and advantages for insider traders.
The South Sea Company was a British company that emerged to monopolize trade with the Spanish colonies in South America. The company promised investors significant returns but provided no evidence of its activities. This saw the stock prices grow from £100 to £1,000 in a matter of months, then crash when the company’s weakness was revealed.
Many people lost a significant amount of money, including Sir Isaac Newton, prompting the statement, “I can calculate the movement of the stars, but not the madness of men.“
Investors often have no way to verify a company’s claim, making stock markets a fertile ground for manipulation and fraud since their inception. When one party has more information than another, it creates the opportunity for fraud. This can be seen today in Ponzi schemes, tech stock bubbles driven by manipulative media coverage, and initial cryptocurrency offerings.
The Diamond Necklace Affair (1784-1785)
The Diamond Necklace Affair is an infamous incident of fraud linked to the French Revolution. An early example of identity theft, it also demonstrates that the harm caused by such a crime can go far beyond financial.
A French aristocrat named Jeanne de la Mont convinced Cardinal Louis-René-Édouard, Prince de Rohan into thinking that he was buying a valuable diamond necklace on behalf of Queen Marie Antoinette. De la Mont forged letters from the queen and even had someone impersonate her for a meeting, all while convincing the cardinal of the need for secrecy. The cardinal overlooked several questionable issues because he believed he would gain political benefit from the transaction.
When the scheme finally exposed, it damaged Marie Antoinette’s reputation, despite her lack of involvement in the deception. The story reinforced the public perception of her as a frivolous aristocrat living off the labor of the people. This contributed to the overall resentment of the aristocracy that erupted in the French Revolution and likely played a role in Marie Antoinette’s death. Had she not been seen as frivolous, she might have been allowed to live after her husband’s death.
Today, impersonation scams work in similar ways. For example, a fraudster might forge communication from a CEO to convince employees to release funds or take some other action. The risk of this is only increasing with improved technology such as deepfakes.
Spanish Prisoner Scam (Late 1700s)
The Spanish Prisoner Scam will probably sound very familiar to anyone who received a “Nigerian prince” email in the early 2000s.
Victims received letters from a “wealthy Spanish prisoner” who needed their help to access his fortune. If they sent money to facilitate his escape and travel, he would reward them with greater riches when he regained his fortune. This was only one of many similar scams in the 1700s, often involving follow-up requests for additional payments before the scammer disappeared.
While the “Nigerian prince” scam received enough publicity that it became almost unbelievable that people could fall for it, if done well, these can be psychologically sophisticated scams. The stories play on people’s emotions, get them invested in the person, and enamor them with the idea of being someone helpful and important. A compelling narrative can diminish someone’s critical thinking and cause them to ignore red flags.
Today, these scams are more likely to take the form of inheritance fraud or a lottery scam, where, again, a person has to pay an advance fee to unlock a much bigger reward, playing on the common desire for easy money.
Evolution of Fraud
These examples make it clear that fraud is nothing new and that effective tactics have thrived over the centuries. Technology simply opens up new opportunities for fraud.
While 18th-century scammers had to rely on face-to-face contact and fraudulent letters, in the 19th century they could leverage the telegraph for “urgent” communication and newspaper ads to reach broader audiences. In the 20th century, there were telephones and television ads. Today, there are email, social media, and deepfakes, with new technologies emerging daily.
Rather than quack doctors offering miracle cures, we see online health scams selling diet pills and antiaging products. Rather than impersonating real people, we see fake social media accounts and catfishing. Fraudulent sites convince people to enter their bank details rather than asking them to send money. The anonymity of the digital world protects perpetrators.
But despite the technology changing, the underlying psychology that makes scams successful remains the same:
- Greed and the desire for easy money
- Fear of missing out and the belief that a response is urgent
- Social pressure to “keep up with the Joneses” and the “Bandwagon Effect”
- Trust in authority without verification
Therefore, the best protection against scams remains the same: critical thinking and skepticism, not technology.
Responding to Fraud
In conclusion, Vazdar shared a series of steps that people should take to protect themselves against fraud:
- Think before you click.
- Beware of secrecy and urgency.
- Verify identities.
- If it seems too good to be true, be skeptical.
- Use available security tools.
Those security tools have changed over time and will continue to change, but the underlying steps for identifying and preventing fraud remain the same.
For more insights from Vazdar and other experts in the field, consider enrolling in highly specialized and comprehensive programs like OPIT’s Enterprise Security Master’s program.
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