Reboot podcast, ep.43 (21/8/2026): “META, the trials and the protection of under-aged”

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Insecurities in the team” (17/8/2026)

https://youtube.com/shorts/ktynYf10lEM

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Avoiding the over-confidence” (10/8/2026)

https://youtube.com/shorts/1uCIFW6ssKs

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Reboot ep.42 (7/8/2026): “New technologies and large-scale disasters”

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “People before deadlines - Team risks” (3/8/2026)

https://youtube.com/shorts/uBFywPX1jjY

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Risk management through Game Theory” (27/7/2026)

https://youtube.com/shorts/7egORVvJj5o

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Reboot podcast ep.41 (24/7/2025)

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Preventive planning” (20/7/2026)

https://youtube.com/shorts/pCZTDKcXyI0

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Managing risk” (13/7/2026)

https://youtube.com/shorts/QFU-fbXTTic

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Reboot podcast (10-7-2026): Informatics and the Greek reality

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Hints from software risks” (6/7/2026)

https://youtube.com/shorts/lfIYj_coJLs

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Prepare for the unexpected” (29/6/2026)

https://youtube.com/shorts/6bI-dVG1G50

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Reboot podcast ep.39: “What can teen study today in the age of A.I.?” (26/6/2026)

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Motivation is not enough” (22/6/2026)

https://youtube.com/shorts/zv0t6AK-X0w

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Learning versus delivering”

https://youtube.com/shorts/DyrVUKGzSrA

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

HIU lectures: “Artemis II: Software, communications and computers in space missions” (7/6/2026)

Reboot podcast, ep.38: “Is A.I. the next stock market bubble?” (12/6/2026)

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Understanding quiet quitting”

https://youtube.com/shorts/IN9S7w7evGE

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

HIU lectures: “When human language becomes data” (30/5/2026)

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Simplicity is not lazyness”

https://youtube.com/shorts/2jEcw3abWtw

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Reboot podcast ep.37 (29-5-2026):

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Knowledge silos”

https://youtube.com/shorts/J-O8UrrEOSA

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Nostimon Imar - interview (19/5/2026):

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Low productivity mode”

https://youtube.com/shorts/qGOo1kw2SfI

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

5G-HUB: Mission-Critical technological gaps and R&D advancements in SAR operations

Reboot podcast (15-5-2026): Από τη Bixonimania στο trustworthy AI

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Minimum Efforts principle”

https://youtube.com/shorts/8dMJ8vgLOzY

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Use case: COVID data analysis”

https://youtube.com/shorts/FiK0ype9nB0

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Non-Papers podcast: “Security, destruction and Mythos” (26/4/2026)

Reboot, ep.35: “Information security, cyberattacks and Claude Mythos” (1/5/2026)

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Use case: fMRI unmixing”

https://youtube.com/shorts/Jy74I-uFDF0

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Focus on the most valuable”

https://youtube.com/shorts/YVjw1Uwj6Ng

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Reboot podcast ep.34: “Space technology and software of Artemis II” (17-4-2026)

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “The ‘Einstellung’ effect”

https://youtube.com/shorts/NFHLC425HZ8

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html

Data Science book writing

About two years ago an idea was hovering through my mind, a question actually: Why is that “traditional” project managers fail so gloriously in managing teams, especially in the Research and Development (R&D) field of work? I let it mature for a while, thinking that someone will eventually write a book or something about it. Two years have passed and no one did it, so I figured, well, I guess I will have to do that myself. After sending the proposal to only few top publishers, I was privileged enough to land a book contract with Elsevier, which was indeed my first choice for this endeavor.

The subject of the book is simple: Managing and coordinating teams in the R&D environment, specifically in the domains of Data Analytics, Machine Learning and Artificial Intelligence in general, where I have been working for more than two and a half decades as a professional. Specifically, it will focus on every aspect of teamwork from the first to the last day of a R&D project, including recruitment, roles, technical problems and solutions, managing risk, conflict resolution, iterations and feedback, expectation management, deadlines, priorities, planning for the future.

I’ve had the privilege to work with exceptional scientists, colleagues and friends and throughout these years I have identified key characteristics of efficient teamwork in challenging situations. Efficient project management is far from enough for building successful teams for R&D. There is no magic recipe for success, but there are definitely some common lessons to be learned.

The book is available for order:

“Data Science for Teams: 20 Lessons from the Fieldwork”

Paperback ISBN: 9780443364068 — eBook ISBN: 9780443364075

Data Science for Teams: “Tunnel vision”

https://youtube.com/shorts/W_Yy2nW0XCs

For more details, check out:

https://apneacoding.blogspot.com/2024/07/announcement-writing-new-book-in-data.html