POPULARITY
2 episodes with cambridge phd
2 episodes with cambridge phd
4 episodes with cambridge phd
2 episodes with cambridge phd
Hi there, I'm so excited to share this week's episode — it’s a good one! This time, I’m joined by the incredibly inspiring Dr. Anna York-Weaving, a Cambridge PhD scientist, academic coach, podcaster, and fellow lifelong learner. Anna's passion for learning and growth is contagious, and I just knew I had to bring her on to share her real-life experience and wisdom with our community. In this insightful conversation, Anna shares her journey from growing up in Ukraine to earning a scholarship to study in the UK — eventually achieving her childhood dream of studying at Cambridge. But it wasn’t all smooth sailing [is it ever?!] She opens up about her early struggles at university, how she overcame failure, and the pivotal moment she decided to transform not just her results but her entire approach to learning. Here’s what you’ll take away from this episode: How to learn smarter, not harder — and why reviewing information matters more than cramming it in. The power of visualisation and writing down your dreams — with a surprising story involving one of my books! Why setbacks are not failures but stepping stones to your future strengths. How to build habits like morning rituals that support your dream life (even with toddlers in tow!). It's an episode full of practical strategies, inspiring mindset shifts, and warm encouragement. If you're feeling a little stuck or unsure of your next step, Anna’s story will give you a beautiful nudge forward. Tune in — and let’s keep dreaming big, together. As always, I’d LOVE to hear what resonates with you from this episode and what you plan to implement after listening in. So please share and let’s keep the conversation going in the Dream Life Podcast Facebook Group here. Have a wonderful weekend …and remember, it all starts with a dream
—Be a part of Africa's biggest talk concert on Sunday, April 27, 2025. #WithChudeLive - with Chimamanda Adichie, Pastor Jerry Eze, Funke Akindele, Falz and Bovi Ugboma! Register now on https://www.felefun.com/events/with-chude-live.Watch all new and old full episodes here: www.withchude.comBuy ‘How Depression Saved My Life', #TheDailyJoy and #TheDailyVulnerable books here: shop.withchude.com Donate to the work here: partner.withchude.com Please subscribe to our YouTube Channel: https://youtube.com/c/chude Exclusive Patron-only Content Hosted on Acast. See acast.com/privacy for more information.
In the late 1960s Cambridge PhD student Jocelyn Bell Burnell was studying quasars (very luminous active galactic nuclei) when she reported anomalous data which was later identified as pulsars (‘pulsating stars').While she was controversially missed off the list for the Nobel Prize awarded in 1974 for this discovery, Bell Burnell continued to be a pioneer in the field.Now nearing the end of her career, Dame Jocelyn tells Research Features what it was like to grow up in Northern Ireland, be the only woman in a male-dominated environment, and what space research looks like in the era of AI technology.Read more in Research Features
Send us a textIn this episode of the Life Science Success Podcast my guest is Karen Tkaczyk, a seasoned professional with a robust academic background in chemistry and a proven track record in translation and business development within the life sciences sector. With a PhD from the University of Cambridge and extensive experience leading translation and sales efforts, Karen currently serves as the Director of Sales – Life Sciences at Vistatec, where she helps global clients navigate complex localization challenges.00:00 Introduction to Life Science Success Podcast00:35 Meet Karen Tkaczyk: From Chemistry to Sales01:43 Karen's Early Passion for Science and Languages02:57 From Academia to Big Pharma04:22 Transition to the US and Formulation Chemistry07:38 Freelance Translation Career12:50 Joining Vistatec17:26 The Importance of Networking21:39 Vistatec's Unique Approach25:05 Common Scenarios in Clinical Trials25:52 Complexities of Global Clinical Trials26:03 Translation Challenges in Regulatory Affairs27:24 Localization in SaaS for Life Sciences29:10 The Role of AI in Translation35:17 Balancing Innovation with Regulation39:37 Favorite Meals and Cultural Insights41:55 Inspiration, Concerns, and Excitement47:06 Conclusion and Farewell
Where is nature's memory of its evolution encoded? Is there evidence for extended mind occurring beyond individual brains? How possible is it that the sun is conscious? In this episode we're going to get up to date on Rupert Sheldrake's extraordinary theory of Morphic resonance: so Morphic fields, the unfolding of nature's ‘habits' and the ‘memory of nature'. We'll examine the possibility of levels of consciousness larger than our own brains - scaling up in a hierarchy from cellular consciousness right up to planetary and perhaps even stellar consciousness! We're also going to get into examples of consciousness beyond the brain like ‘the sensation of being stared at' (clearly a useful skill to evolve) and other phenomena Rupert has reported in his experiments. Rupert Sheldrake is a Cambridge PHD developmental Biologist whose published over 100 papers on topics as wide as Cellular Biology, telepathy, Pets who know when their owners are coming home, and after-death communications. He is also the author of many books like “A new science of life”, “Science set free”, and “Ways of going Beyond”, among many others. What were discuss: 00:00 Intro. 06:10 Morphic resonance explained. 08:15 Polar Auxin - death in the midst of life. 09:15 Genes make proteins, morphogenetic fields determine form. 11:30 Nature's “memory” spread across time. 13:25 Something that has happened before is more likely to happen again. 14:15 Collective memory, like Jung's collective unconscious. 17:15 His scientific education engrained materialism and atheism in him.. 18:15 Asian philosophy, psychedelics, Neo-platonism and Christianity. 20:30 Questioning of scientific dogma came before his faith. 22:00 Thomas Kuhn's paradigm change, an analogy for him breaking with science. 23:50 Rupert's work denounced as ‘Heresy' by the editor of Nature in 1981. 26:30 Measuring Morphic fields in experiments. 28:30 IQ tests have got easier for people over time, The Flynn Effect 30:00 Video games have to make new versions harder each time. 32:10 Is subtle energy field research beyond science? 37:00 Bioelectric morphogenetic fields & Michael Levin. 41:20 Bioelectric fields are the interface not the explanation. 42:30 Where are morphic fields recorded in nature? 44:50 Platonism doesn't explain evolution and change over time. 47:00 Different levels of collective consciousness, up to planetary, stellar and even cosmic consciousness. 56:40 The feeling of being stared at: examples of extended mind. 01:02:55 Mystical experience - being part of a greater consciousness. 01:09:40 Are spiritual & scientific insight compatible? References: Rupert Sheldrake, “A New Science of life”. Michael Levin - Bio-electric morphogenetic fields CC interview The Sheldrake.org Staring App. Polar Auxin QUOTE: “Morphic resonance leaps across time and space, It's not stored anywhere it's a direct connection with the past.”
Today, AMA (Ask Me Anything) beginning at (58:56)(2:00) Bleeding Edge Tech ChatGPT (Gibberish Psycho Talk) as it seems to have a nervous breakdown. Was the "temperature" too high?DARPA funds "toddler cam" to train AI by putting a head cam on toddlers for 18 monthsLooking at flaws and limitations of the text-to-video Sora appHackers can extract YOUR FINGERPRINTS from the sound of you swiping a touchscreenNZ facial recognition to buy groceriesElon Musk Neuralink's killer app: able to do mind control of mouse (38:19) Soros moves in on the second largest network of radio stations. We can see what he did with previous purchase of stations — it's not to make money. Should state government step in? Should government break up monopolies? Can it break up monopolies? (52:36) Biden moves in with a massive land grab from ranchers (as Obama did). This is an example of how they can seize control of land anywhere from anyone by controlling its use (58:56) Ask Me Anything questions begin and continue with Tony Arterburn (1:30:56) INTERVIEW Anarchapulco — Getting Out of the Fed System Tony Arterburn on what he saw (and said as a speaker) at the annual anarchy-capitalist and voluntarist conference in Acapulco, Mexico. And Tony takes AMA questions about gold, silver, and what's new at DavidKnight.gold (2:15:40) AMA, Ask Me Anything, continues (2:35:50) "I had to reach the summit of education to understand its limitations." Yale grad, and Cambridge PhD is not a Christian but speaks from his personal experience growing up. He says nothing is more important than family and a stable home — even to secular success. Contrast this advice with the recent murder-suicide of a man who killed his twin children, his wife and himself in their $2+ MILLION home. (2:47:29) More AMA questionsFind out more about the show and where you can watch it at TheDavidKnightShow.comIf you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Money is only what YOU hold: Go to DavidKnight.gold for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to TrendsJournal.com and enter the code KNIGHT
Today, AMA (Ask Me Anything) beginning at (58:56)(2:00) Bleeding Edge Tech ChatGPT (Gibberish Psycho Talk) as it seems to have a nervous breakdown. Was the "temperature" too high?DARPA funds "toddler cam" to train AI by putting a head cam on toddlers for 18 monthsLooking at flaws and limitations of the text-to-video Sora appHackers can extract YOUR FINGERPRINTS from the sound of you swiping a touchscreenNZ facial recognition to buy groceriesElon Musk Neuralink's killer app: able to do mind control of mouse(38:19) Soros moves in on the second largest network of radio stations. We can see what he did with previous purchase of stations — it's not to make money. Should state government step in? Should government break up monopolies? Can it break up monopolies?(52:36) Biden moves in with a massive land grab from ranchers (as Obama did). This is an example of how they can seize control of land anywhere from anyone by controlling its use(58:56) Ask Me Anything questions begin and continue with Tony Arterburn(1:30:56) INTERVIEW Anarchapulco — Getting Out of the Fed System Tony Arterburn on what he saw (and said as a speaker) at the annual anarchy-capitalist and voluntarist conference in Acapulco, Mexico. And Tony takes AMA questions about gold, silver, and what's new at DavidKnight.gold(2:15:40) AMA, Ask Me Anything, continues(2:35:50) "I had to reach the summit of education to understand its limitations." Yale grad, and Cambridge PhD is not a Christian but speaks from his personal experience growing up. He says nothing is more important than family and a stable home — even to secular success. Contrast this advice with the recent murder-suicide of a man who killed his twin children, his wife and himself in their $2+ MILLION home. (2:47:29) More AMA questionsFind out more about the show and where you can watch it at TheDavidKnightShow.comIf you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-showOr you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Money is only what YOU hold: Go to DavidKnight.gold for great deals on physical gold/silverFor 10% off Gerald Celente's prescient Trends Journal, go to TrendsJournal.com and enter the code KNIGHT
Rob Henderson is an Author, Cambridge PhD recipient, Yale Graduate, a US Air Force Veteran and a popular writer on Substack. Going to school is far less important than having a parent who cares enough to make sure you get to class every day. 60% of boys in foster care are later incarcerated, while only 3 percent graduate from college. Children raised in a wealthy but unstable home are more likely to engage in harmful adult behaviors than a child raised in a low-income home yet stable home. How a child raised in a wealthy but unstable home is more likely to engage in harmful adult behaviors than a child raised in a low-income home yet stable home These are harrowing facts that Rob has devoted his lift to researching. In this emotive episode, Rob unveils the stark realities of growing up in a system that often fails its most vulnerable members - the care system. Rob Henderson's remarkable journey from foster care to elite academia is a testament to his resilience and determination. From his turbulent childhood in foster homes to his academic achievements at elite universities, Henderson sheds light on the challenges faced by foster children, highlighting the staggering statistics that reveal the harsh realities of their outcomes. Through personal anecdotes and insightful analysis, he delves into the concept of "luxury beliefs" embraced by the upper class, exploring how these ideologies can perpetuate inequality and harm the very individuals they aim to uplift. As Rob reflects on his own experiences and those of his peers who fell victim to the cycle of incarceration and despair, he challenges societal norms and redefines the meaning of success. With raw honesty and unwavering determination, he underscores the importance of stability and parental support in shaping one's future, emphasizing that true prosperity goes beyond external accolades. This is a podcast episode close to my heart and I am so proud to be part of a choir of voices bringing this to light. Order Rob's Book “Troubled: A Memoir of Foster Care, Family and Social Class” here: https://www.amazon.co.uk/Troubled-Memoir-Foster-Family-Social-ebook/dp/B0C6CFDNGH Follow Rob on X: https://twitter.com/robkhenderson?ref_src=twsrc^google|twcamp^serp|twgr^author Extra Stuff: Follow me on Instagram: www.instagram.com/developmentbydavid
On episode 107 Cambridge PhD candidate Alexandra Leonzini joins Andre Goulet and co-host Gennie Pimentel for a conversation exploring how music builds soft power and promotes national prestige, the DPRK opera's greatest hits, cultural diplomacy and the Cold War, how tourists serve as intermediaries in North Korea's noraebang branding efforts and more.Watch 'Where Are You, General?' at https://www.youtube.com/watch?v=SCGkIwZa2UEWatch 'Sea of Blood' at https://www.youtube.com/watch?v=quIl4qeEWogThis conversation was recorded on April 10th, 2023.Support our work sharing Korean history and culture with an international audience at patreon.com/thekoreafile
Talking with the brilliant novelist, essayist and philosopher Mark de Silva ( @MarkdeSilva1 ) about his novel The Logos, about logos, about advertising, the metaphysics of writing fiction, the history of capitalism, and just about everything.Mark de Silva is the author of the novels Square Wave (2016) and The Logos (2022), as well as the essay collection Points of Attack (2020). He holds degrees in philosophy from Brown (AB) and Cambridge (PhD). He is a contributing editor at 3:AM Magazine and a research editor at the New York Times Magazine.
Slovakia Today, English Language Current Affairs Programme from Slovak Radio
As countries develop weapon systems that can now reach into outer space, and countries have shown that they can target satellites with missiles, the very future of space exploration is in jeopardy. Space debris from destroyed satellites can potentially render entire orbits unusable for decades or even hundreds of years. Jonathan speaks with space debris expert Jiří Šilha about the uncertain future of space research in light of such weapons. – Repeat: Did you know that your life depends on tiny organelles called ‘mitochondria'? Jonathan speaks with Cambridge PhD researcher Petra Páleníková about these important but little-known organs at the cellular level and why scientists are keen to learn more about them.
Slovakia Today, English Language Current Affairs Programme from Slovak Radio
As countries develop weapon systems that can now reach into outer space, and countries have shown that they can target satellites with missiles, the very future of space exploration is in jeopardy. Space debris from destroyed satellites can potentially render entire orbits unusable for decades or even hundreds of years. Jonathan speaks with space debris expert Jiří Šilha about the uncertain future of space research in light of such weapons. – Repeat: Did you know that your life depends on tiny organelles called ‘mitochondria'? Jonathan speaks with Cambridge PhD researcher Petra Páleníková about these important but little-known organs at the cellular level and why scientists are keen to learn more about them.
Slovakia Today, English Language Current Affairs Programme from Slovak Radio
Although concepts belonging to the field of epidemiology are used mainly in the study of infectious diseases, they are also relevant to the study of other maladies including mental illnesses. Jonathan speaks with Cambridge PhD student Tomáš Formánek about his ongoing research in the intriguing field of ‘psychiatric epidemiology'. – Although there is a large consensus among climate scientists that C02 emissions are a significant factor in the earth's current warming cycle, not all scientists agree. Jonathan asks Alexander Ač, a scientist who takes the consensus view, why he thinks it is that a considerable number of highly qualified climate scientists continue to dispute it.
Slovakia Today, English Language Current Affairs Programme from Slovak Radio
Although concepts belonging to the field of epidemiology are used mainly in the study of infectious diseases, they are also relevant to the study of other maladies including mental illnesses. Jonathan speaks with Cambridge PhD student Tomáš Formánek about his ongoing research in the intriguing field of ‘psychiatric epidemiology'. – Although there is a large consensus among climate scientists that C02 emissions are a significant factor in the earth's current warming cycle, not all scientists agree. Jonathan asks Alexander Ač, a scientist who takes the consensus view, why he thinks it is that a considerable number of highly qualified climate scientists continue to dispute it.
When did the Cold War in East Asia really begin? According to ADI-NIAS researcher Kuan-Jen Chen, the answer is 1945 – if we view the Cold War through a maritime lens. In conversation with NIAS Director Duncan McCargo, KJ explains how he is using Japanese and Taiwanese sources to gain a more nuanced perspective on East Asian Cold War maritime history, which is far from a simple narrative of American naval dominance. KJ also discusses the relevance of the Cold War context to understanding recent geostrategic developments in the region, and why he is trying to put international historians into a more fruitful dialogue with scholars of international relations. Kuan-Jen Chen (https://kjchen.net/) is the Asian Dynamics Initiative-Nordic Institute of Asian Studies Postdoctoral Fellow in Asian Studies at the University of Copenhagen. He has published articles in various journals including Cold War History and the Journal of American-East Asian Relations. KJ is currently completing a book based on his Cambridge PhD, entitled The Making of America's Maritime Order in Cold War East Asia: Sovereignty, Local Interests, and International Security. KJ was recently jointly awarded Taiwan's 2021 Openbook Award in Translation for his co-translation into Chinese of Barak Kushner's Men to Devils, Devils to Men: Japanese War Crimes and Chinese Justice, Harvard 2015 (see NBN podcast here). The Nordic Asia Podcast is a collaboration sharing expertise on Asia across the Nordic region, brought to you by the Nordic Institute of Asian Studies (NIAS) based at the University of Copenhagen, along with our academic partners: the Centre for East Asian Studies at the University of Turku, Asianettverket at the University of Oslo, and the Stockholm Centre for Global Asia at Stockholm University. We aim to produce timely, topical and well-edited discussions of new research and developments about Asia. Transcripts of the Nordic Asia Podcasts can be found here. About NIAS: www.nias.ku.dk
When did the Cold War in East Asia really begin? According to ADI-NIAS researcher Kuan-Jen Chen, the answer is 1945 – if we view the Cold War through a maritime lens. In conversation with NIAS Director Duncan McCargo, KJ explains how he is using Japanese and Taiwanese sources to gain a more nuanced perspective on East Asian Cold War maritime history, which is far from a simple narrative of American naval dominance. KJ also discusses the relevance of the Cold War context to understanding recent geostrategic developments in the region, and why he is trying to put international historians into a more fruitful dialogue with scholars of international relations. Kuan-Jen Chen (https://kjchen.net/) is the Asian Dynamics Initiative-Nordic Institute of Asian Studies Postdoctoral Fellow in Asian Studies at the University of Copenhagen. He has published articles in various journals including Cold War History and the Journal of American-East Asian Relations. KJ is currently completing a book based on his Cambridge PhD, entitled The Making of America's Maritime Order in Cold War East Asia: Sovereignty, Local Interests, and International Security. KJ was recently jointly awarded Taiwan's 2021 Openbook Award in Translation for his co-translation into Chinese of Barak Kushner's Men to Devils, Devils to Men: Japanese War Crimes and Chinese Justice, Harvard 2015 (see NBN podcast here). The Nordic Asia Podcast is a collaboration sharing expertise on Asia across the Nordic region, brought to you by the Nordic Institute of Asian Studies (NIAS) based at the University of Copenhagen, along with our academic partners: the Centre for East Asian Studies at the University of Turku, Asianettverket at the University of Oslo, and the Stockholm Centre for Global Asia at Stockholm University. We aim to produce timely, topical and well-edited discussions of new research and developments about Asia. Transcripts of the Nordic Asia Podcasts can be found here. About NIAS: www.nias.ku.dk Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/korean-studies
When did the Cold War in East Asia really begin? According to ADI-NIAS researcher Kuan-Jen Chen, the answer is 1945 – if we view the Cold War through a maritime lens. In conversation with NIAS Director Duncan McCargo, KJ explains how he is using Japanese and Taiwanese sources to gain a more nuanced perspective on East Asian Cold War maritime history, which is far from a simple narrative of American naval dominance. KJ also discusses the relevance of the Cold War context to understanding recent geostrategic developments in the region, and why he is trying to put international historians into a more fruitful dialogue with scholars of international relations. Kuan-Jen Chen (https://kjchen.net/) is the Asian Dynamics Initiative-Nordic Institute of Asian Studies Postdoctoral Fellow in Asian Studies at the University of Copenhagen. He has published articles in various journals including Cold War History and the Journal of American-East Asian Relations. KJ is currently completing a book based on his Cambridge PhD, entitled The Making of America's Maritime Order in Cold War East Asia: Sovereignty, Local Interests, and International Security. KJ was recently jointly awarded Taiwan's 2021 Openbook Award in Translation for his co-translation into Chinese of Barak Kushner's Men to Devils, Devils to Men: Japanese War Crimes and Chinese Justice, Harvard 2015 (see NBN podcast here). The Nordic Asia Podcast is a collaboration sharing expertise on Asia across the Nordic region, brought to you by the Nordic Institute of Asian Studies (NIAS) based at the University of Copenhagen, along with our academic partners: the Centre for East Asian Studies at the University of Turku, Asianettverket at the University of Oslo, and the Stockholm Centre for Global Asia at Stockholm University. We aim to produce timely, topical and well-edited discussions of new research and developments about Asia. Transcripts of the Nordic Asia Podcasts can be found here. About NIAS: www.nias.ku.dk Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network
When did the Cold War in East Asia really begin? According to ADI-NIAS researcher Kuan-Jen Chen, the answer is 1945 – if we view the Cold War through a maritime lens. In conversation with NIAS Director Duncan McCargo, KJ explains how he is using Japanese and Taiwanese sources to gain a more nuanced perspective on East Asian Cold War maritime history, which is far from a simple narrative of American naval dominance. KJ also discusses the relevance of the Cold War context to understanding recent geostrategic developments in the region, and why he is trying to put international historians into a more fruitful dialogue with scholars of international relations. Kuan-Jen Chen (https://kjchen.net/) is the Asian Dynamics Initiative-Nordic Institute of Asian Studies Postdoctoral Fellow in Asian Studies at the University of Copenhagen. He has published articles in various journals including Cold War History and the Journal of American-East Asian Relations. KJ is currently completing a book based on his Cambridge PhD, entitled The Making of America's Maritime Order in Cold War East Asia: Sovereignty, Local Interests, and International Security. KJ was recently jointly awarded Taiwan's 2021 Openbook Award in Translation for his co-translation into Chinese of Barak Kushner's Men to Devils, Devils to Men: Japanese War Crimes and Chinese Justice, Harvard 2015 (see NBN podcast here). The Nordic Asia Podcast is a collaboration sharing expertise on Asia across the Nordic region, brought to you by the Nordic Institute of Asian Studies (NIAS) based at the University of Copenhagen, along with our academic partners: the Centre for East Asian Studies at the University of Turku, Asianettverket at the University of Oslo, and the Stockholm Centre for Global Asia at Stockholm University. We aim to produce timely, topical and well-edited discussions of new research and developments about Asia. Transcripts of the Nordic Asia Podcasts can be found here. About NIAS: www.nias.ku.dk Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/east-asian-studies
When did the Cold War in East Asia really begin? According to ADI-NIAS researcher Kuan-Jen Chen, the answer is 1945 – if we view the Cold War through a maritime lens. In conversation with NIAS Director Duncan McCargo, KJ explains how he is using Japanese and Taiwanese sources to gain a more nuanced perspective on East Asian Cold War maritime history, which is far from a simple narrative of American naval dominance. KJ also discusses the relevance of the Cold War context to understanding recent geostrategic developments in the region, and why he is trying to put international historians into a more fruitful dialogue with scholars of international relations. Kuan-Jen Chen (https://kjchen.net/) is the Asian Dynamics Initiative-Nordic Institute of Asian Studies Postdoctoral Fellow in Asian Studies at the University of Copenhagen. He has published articles in various journals including Cold War History and the Journal of American-East Asian Relations. KJ is currently completing a book based on his Cambridge PhD, entitled The Making of America's Maritime Order in Cold War East Asia: Sovereignty, Local Interests, and International Security. KJ was recently jointly awarded Taiwan's 2021 Openbook Award in Translation for his co-translation into Chinese of Barak Kushner's Men to Devils, Devils to Men: Japanese War Crimes and Chinese Justice, Harvard 2015 (see NBN podcast here). The Nordic Asia Podcast is a collaboration sharing expertise on Asia across the Nordic region, brought to you by the Nordic Institute of Asian Studies (NIAS) based at the University of Copenhagen, along with our academic partners: the Centre for East Asian Studies at the University of Turku, Asianettverket at the University of Oslo, and the Stockholm Centre for Global Asia at Stockholm University. We aim to produce timely, topical and well-edited discussions of new research and developments about Asia. Transcripts of the Nordic Asia Podcasts can be found here. About NIAS: www.nias.ku.dk Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/history
When did the Cold War in East Asia really begin? According to ADI-NIAS researcher Kuan-Jen Chen, the answer is 1945 – if we view the Cold War through a maritime lens. In conversation with NIAS Director Duncan McCargo, KJ explains how he is using Japanese and Taiwanese sources to gain a more nuanced perspective on East Asian Cold War maritime history, which is far from a simple narrative of American naval dominance. KJ also discusses the relevance of the Cold War context to understanding recent geostrategic developments in the region, and why he is trying to put international historians into a more fruitful dialogue with scholars of international relations. Kuan-Jen Chen (https://kjchen.net/) is the Asian Dynamics Initiative-Nordic Institute of Asian Studies Postdoctoral Fellow in Asian Studies at the University of Copenhagen. He has published articles in various journals including Cold War History and the Journal of American-East Asian Relations. KJ is currently completing a book based on his Cambridge PhD, entitled The Making of America's Maritime Order in Cold War East Asia: Sovereignty, Local Interests, and International Security. KJ was recently jointly awarded Taiwan's 2021 Openbook Award in Translation for his co-translation into Chinese of Barak Kushner's Men to Devils, Devils to Men: Japanese War Crimes and Chinese Justice, Harvard 2015 (see NBN podcast here). The Nordic Asia Podcast is a collaboration sharing expertise on Asia across the Nordic region, brought to you by the Nordic Institute of Asian Studies (NIAS) based at the University of Copenhagen, along with our academic partners: the Centre for East Asian Studies at the University of Turku, Asianettverket at the University of Oslo, and the Stockholm Centre for Global Asia at Stockholm University. We aim to produce timely, topical and well-edited discussions of new research and developments about Asia. Transcripts of the Nordic Asia Podcasts can be found here. About NIAS: www.nias.ku.dk Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/russian-studies
When did the Cold War in East Asia really begin? According to ADI-NIAS researcher Kuan-Jen Chen, the answer is 1945 – if we view the Cold War through a maritime lens. In conversation with NIAS Director Duncan McCargo, KJ explains how he is using Japanese and Taiwanese sources to gain a more nuanced perspective on East Asian Cold War maritime history, which is far from a simple narrative of American naval dominance. KJ also discusses the relevance of the Cold War context to understanding recent geostrategic developments in the region, and why he is trying to put international historians into a more fruitful dialogue with scholars of international relations. Kuan-Jen Chen (https://kjchen.net/) is the Asian Dynamics Initiative-Nordic Institute of Asian Studies Postdoctoral Fellow in Asian Studies at the University of Copenhagen. He has published articles in various journals including Cold War History and the Journal of American-East Asian Relations. KJ is currently completing a book based on his Cambridge PhD, entitled The Making of America's Maritime Order in Cold War East Asia: Sovereignty, Local Interests, and International Security. KJ was recently jointly awarded Taiwan's 2021 Openbook Award in Translation for his co-translation into Chinese of Barak Kushner's Men to Devils, Devils to Men: Japanese War Crimes and Chinese Justice, Harvard 2015 (see NBN podcast here). The Nordic Asia Podcast is a collaboration sharing expertise on Asia across the Nordic region, brought to you by the Nordic Institute of Asian Studies (NIAS) based at the University of Copenhagen, along with our academic partners: the Centre for East Asian Studies at the University of Turku, Asianettverket at the University of Oslo, and the Stockholm Centre for Global Asia at Stockholm University. We aim to produce timely, topical and well-edited discussions of new research and developments about Asia. Transcripts of the Nordic Asia Podcasts can be found here. About NIAS: www.nias.ku.dk Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/chinese-studies
When did the Cold War in East Asia really begin? According to ADI-NIAS researcher Kuan-Jen Chen, the answer is 1945 – if we view the Cold War through a maritime lens. In conversation with NIAS Director Duncan McCargo, KJ explains how he is using Japanese and Taiwanese sources to gain a more nuanced perspective on East Asian Cold War maritime history, which is far from a simple narrative of American naval dominance. KJ also discusses the relevance of the Cold War context to understanding recent geostrategic developments in the region, and why he is trying to put international historians into a more fruitful dialogue with scholars of international relations. Kuan-Jen Chen (https://kjchen.net/) is the Asian Dynamics Initiative-Nordic Institute of Asian Studies Postdoctoral Fellow in Asian Studies at the University of Copenhagen. He has published articles in various journals including Cold War History and the Journal of American-East Asian Relations. KJ is currently completing a book based on his Cambridge PhD, entitled The Making of America's Maritime Order in Cold War East Asia: Sovereignty, Local Interests, and International Security. KJ was recently jointly awarded Taiwan's 2021 Openbook Award in Translation for his co-translation into Chinese of Barak Kushner's Men to Devils, Devils to Men: Japanese War Crimes and Chinese Justice, Harvard 2015 (see NBN podcast here). The Nordic Asia Podcast is a collaboration sharing expertise on Asia across the Nordic region, brought to you by the Nordic Institute of Asian Studies (NIAS) based at the University of Copenhagen, along with our academic partners: the Centre for East Asian Studies at the University of Turku, Asianettverket at the University of Oslo, and the Stockholm Centre for Global Asia at Stockholm University. We aim to produce timely, topical and well-edited discussions of new research and developments about Asia. Transcripts of the Nordic Asia Podcasts can be found here. About NIAS: www.nias.ku.dk Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/japanese-studies
We are raiding the Audio Long Read archives to bring you some classic pieces from years past, with new introductions from the authors. This week, from 2016: When the battered body of a Cambridge PhD student was found outside Cairo, Egyptian police claimed he had been hit by a car. Then they said he was the victim of a robbery. Then they blamed a conspiracy against Egypt. But in a digital age, it's harder than ever to get away with murder. By Alexander Stille. Help support our independent journalism at theguardian.com/longreadpod
When Jen Stirrup speaks, she speaks softly. The meaning of her words, however, speak loudly! Jen is CEO of Data Relish, a UK-based consultancy that delivers real business value through solving all manner of business challenges. You don't earn the nickname the Data Whisperer without knowing a great deal about Business Intelligence and AI. Jen certainly knows not only those topics, she knows SO much more! References in this episode: Data Kind The Art Of War Blade Runner Tears Scene Episode Timeline: 4:30 - The human element of data, Bias in data, implications of Artificial Intelligence and Machine Learning, and COVID data 27:00 - The BI goal is Business Improvement, escalation and taking principled stands, Data-Driven vs Data Inspired 46:00 - Seeing the hidden costs of some business strategies, the value of even small successes, Diversity and Inclusion, and online bullying 1:29:30 - Jen's mugging story (!) Episode Transcript: Rob Collie (00:00:00): Hello friends. Today's guest is Jen Stirrup. Jen and I have had one of those long-running internet friendships that are so common these days, especially in the data world and in certain communities. But we've also had the opportunity to meet in person several times at those things that we used to do called "in-person physical conferences." She's an incredibly well-seasoned veteran of the data world, but if you're expecting us to be talking about things like star schema and DAX Optimization, that's not really what we talked about. You know that our tagline here is "data with the human element," and we definitely leaned into that human element in today's show. Now, we do talk about some of the important human dynamics about data projects. For example, how the business intelligence industry kind of lost its way in the past and forgot that it's all about improvement and how we're as an industry waking back up to that today. Rob Collie (00:00:54): We also talked about the value of having even one signature success in a large organization that other people can look at to become inspired. And she has some very interesting and well-founded semantic opinions about terms like "data-driven" and why maybe, "data-inspired" is better. Similarly, she prefers the term "data fluent" to "data literate", and she explains why. But we also touched repeatedly on the themes of ethics and inclusivity in the world of data. Now, I have a personal idea that I haven't really shared on this show before that I call "radical moderation." It's the idea that you can be polite, you can be reasonable, while at the same time advocating for sharp change. Now, this is personally what I would like to see emerge in our political sphere, for instance, a form of polite radicalism. We need to change, but we need to be nice. Rob Collie (00:01:52): There aren't many readily available examples that I could point to if I wanted to show you "this is what radical moderation looks like." But now if someone asked me for that, I can point them to this conversation we have with Jen. She is soft-spoken, she is polite, she is open-minded, including the open-mindedness that she might not always be correct. And yet, underneath all of that, is a very firm conviction that we need to be better. And I think that's the best introduction I can give this because I don't want to spoil anything upfront. So, let's get into it. Announcer (00:02:28): Ladies and gentleman, may I have your attention please? Announcer (00:02:32): This is the Raw Data By P3 Adaptive Podcast, with your host, Rob Collie, and your co-host, Thomas you know. Find out what the experts at P3 Adaptive can do for your business. Just go to p3adaptive.com. Raw Data By P3 Adaptive is data...with the human element. Rob Collie (00:02:56): Welcome to the show, Jen Stirrup. It is such a pleasure to see you again, virtually, talk to you. I'm really glad we were able to do this So, thrilled to have you here. Jen Stirrup (00:03:06): Thank you so much for having me. I'm glad we made it work in the end. Diaries, schedules, everything else, but I'm really glad to be here and it's great to speak to you. Rob Collie (00:03:15): I know bits and pieces of the Jen Stirrup story and I know bits and pieces of what you're up to. How do you describe yourself on your LinkedIn profile? Jen Stirrup (00:03:23): So I would describe myself as really trying to help people make their data better. I've just finished a post- COVID data strategy for a healthcare organization in the US and in the UK. The reason I'm doing that is to try and have a big impact. I believe in that, I think COVID has brought around a real stress and a lot of technical architectures, and a lot of data architectures as well, and there're all sorts of pressures. So I've just finished that, which has been a nice piece of work. I've been working with a religious organization on their data as well. A lot of people are accessing their services as part of a recovery from COVID. I think it's been a very difficult, challenging time for a lot of people in terms of mental health, and I like to think that by solving these problems you're actually helping people, in a way to contact, some of whom you may never meet, but that's okay. That's really what I like to do, I think, it's a way of connecting, I think. Rob Collie (00:04:22): We subtitled the show 'Data With The Human Element,' you think of the data field is like this cold, analytical, sanitary, and it's not, right? If you're doing it right, you're having an impact in the human plane, and it's a leveraged impact because you can really sort of touch a lot of people's lives via the central hub that is data. And you've got to keep the human beings in mind, even to be successful at the quote-on-quote "cold, calculating data stuff." If you don't keep the humans sort of first and foremost in your mind, you're not going to design, for example, a good data strategy, like what you just finished. Jen Stirrup (00:05:02): That's right. So I believe that the information ladder is quite important. So we start off with data, then we need to turn that into information, but then we need to turn it into knowledge and then wisdom. And I think COVID has taught us many things. I think it's maybe taught us a sense of purpose, it's something that can help drive all of us. Data can be part of that and I think that data in some ways has been replacing some of the bigger-purpose questions that perhaps we should ask ourselves more often as human beings. With artificial intelligence, particularly, I'm finding that people are replacing data with, perhaps, information, knowledge, or wisdom and say "what does the data see?" and that's fine, but we have to have the context to the data as well. Jen Stirrup (00:05:47): I think in some ways with artificial intelligence, what people are trying to do is build a little box of data and it's becoming this oracle that people are going to touch and say: "So, what does the data say?" It's like we are taking this box and we're trying to turn into some sort of God that we can touch, and it's going to give us all the answers, but if we're going to do that, it has to be a God that we are comfortable to live with, and it's one that we can choose, and one that fits in with people's ethics and their sense of purpose. So, I see data as part of fitting something that can make us all better in so many different ways, whether that is healing or bringing people together. Jen Stirrup (00:06:29): So I think if we could solve these problems where people are feeling that they are not interconnected, then we could start to try and look at that and perhaps think about making people feel whole and feel more together. Because I think what COVID has done is really helped us to focus a lot on data but perhaps not about how we could do things better. It seems that we have an opportunity to decide what goes back in to make the new normal or the next normal. And I'm worried I suppose that I don't see that happening as much as I would like. So yeah, data is important. Absolutely. We wouldn't be here without it and the fact people are struggling with it does pay my mortgage. I still would like us to ask ourselves the bigger questions as well as something that's important to me. Rob Collie (00:07:14): Let me check here. Oh yeah yup, it pays my mortgage as well. We're here for a reason that's for sure. I loved you talking about the AI, this box, that we're going to sort of elevate to the status of a God or that's how a lot of people are viewing it subconsciously. Of course, it's a box that we built. Jen Stirrup (00:07:33): Yeah. Rob Collie (00:07:33): We fed it with our context. It got fed with our assumptions and also our blind spots and now if it makes decisions, that thing starts making judgments and decisions that impact people's lives. It's a tricky proposition, it's one that's best approached very carefully. Jen Stirrup (00:07:55): I agree and I think that's why the bigger questions are important. So say for example, you may have seen the Netflix information series. It was called 'The Social Hack' or something like that. I've forgotten the name, but it was talking about the role of bias in data. One of the researchers found that their facial recognition algorithm didn't recognize a face. And the reason for that was that she's black and for me, I just thought, that's such a preventable issue and how much time do you spend looking at preventable issues? And perhaps not very much. I still see the magpie problem a lot in technology. Companies are happier buying a new technology that they see that's going to solve all their problems, but actually it's not doing that. It's maybe replacing as a bad answer to a different question. We can't see that right now in artificial intelligence. Jen Stirrup (00:08:48): There's some research going on, which will decrease the size of data sets that AI needs in order to create its algorithms and that sounds fine. It's a good piece of research, but what I'd like to see is more researches on collating datasets which are less biased, so that we can think about focusing and trying to make the algorithms fewer rather than focusing on making them smaller. Jen Stirrup (00:09:13): I know a few years ago, you probably remember, everyone talked about big data. Big data was the thing but we didn't ask ourselves if this was the right data. It might be big, but if it's missing out large sections of the population, then that's building an inequality before we get started. I think, even if you don't have the answers, asking these questions is a good thing. I don't have all the answers. There's people working in this field much much smarter than me and they all live and breathe this stuff and I read it, the things that they're doing and talking about, and I think this is such an important part of what we do every day. I think it's really important. I don't know what you think, but there's so much going on in the world of data at the moment that it feels hard to keep up sometimes. Thomas Larock (00:09:58): So first I want you both to remember in case you've forgotten, but you can purchase the Azure Data Box, that does exist. Rob Collie (00:10:07): We will just call it God in a box. Thomas Larock (00:10:09): Azure Data Box, it's actually for shipping storage to an Azure data center, but that's what they chose to call it and I said: "You put your data in the box or it gets the hose again." Right? So- Rob Collie (00:10:20): No no, Tom, it's one: "Put your data in the box." Thomas Larock (00:10:26): So, I mean, that does exist. The first point I wanted to make that you danced around, like Rob you were talking about how we're building this thing and it comes with all of our failings. And I know Jen, she leads discussions on diversity, inclusion, equality and I try to emphasize why that's so much more important and especially seeing the rise and I saw the Netflix special as well, and the Data Justice League. The idea is we need to have those programs in order to have better models. We have to be aware of the bias inherent in the stuff that has already been built. And I think there's a lot more awareness over the last 18 months regarding the products that are on the market that are already failing us because they were built with these biases. And that's a difficult thing to overcome now that you have police departments or governments deploying this technology, thinking, as Jen said, it's this God that is just going to give you all the answers. Thomas Larock (00:11:35): Jen, you also hinted on the thing about the question. So, you're replacing one problem with another, and that made me think of how vital it is that you understand the question you need answered and a lot of times that gets kind of shifted, it's fluid almost. It's like: "Oh, well we were doing this thing we think this next thing we'll solve for it." But the next thing you're getting is actually answering a completely different question than what you thought you were doing and it leads to a huge, huge disconnect. And I think the last thing I would say Jen, I've seen that research about the data sets. I'm encouraged by the idea that we could get people to understand that it's not the volume of data that makes a better model. It's the data that was chosen to be collected in the manner in which it's collected. Thomas Larock (00:12:30): So I know the research on building these models and they're saying: "Yeah, you don't need a billion rows. The accuracy tails off at some point after, say, a million rows." At some point more data doesn't make this model any more accurate but the inherent problem is how was it collected? What were the biases and how was it collected? What was missing? Was it missing at random? Was it missing not at random? The analysis necessary to conduct that research, I think is where we are sorely lacking in business. I know it exists in academia, but those people, they don't scale. There's only so many of those, and there's a lot more businesses trying to get the job done so I think that's fairly important. Jen Stirrup (00:13:13): There is a huge gap between academia and business. I guess there always has been, I do speak to academic institutions from time to time and it's clear that they are doing so much work. They really are, but how that is getting out? I am not sure. Maybe that's why they asked me to come and talk to them so I can talk to other people about what they're doing and I don't mind doing that. I think there needs to be more of that, because I think these scientists, these academics are working in this, have to get access to each other as well and the multidisciplinary aspect of it is really interesting. I did a Postgraduate in Cognitive Science about 20 years ago, and suddenly it's back round again, and it's about philosophy, linguistics, psychology, AI. And why did that go away? Jen Stirrup (00:14:03): It should never have really gone away. I think we got as an industry perhaps Goldstone and such technologies which these things were re-badged as, and we got derailed by the marketing efforts. But I think that there's real room for doing these things in a better way. I don't know if you see this, but I see, or maybe it's my age now, I've been around in the industry for a long time, but I see that people are doing and making mistakes that I first saw 20 years ago, data collection, which you rarely mentioned, Tom, that's been there for a long time and then it seemed to go away. Jen Stirrup (00:14:36): I think that's why academia does help because it gives us maybe more of that consistent backgrounds than perhaps we get from marketing noise, which was goes round in cycles and trends as people are under pressure to purchase these licenses or whatever it happens to be. I wish I had better answers for all of this, I think sometimes it's about just asking these questions, blogging, talking about them, putting them on social media so that when people are thinking, "what do I do about data strategy?" That these things are part of this. I saw a study recently saying that companies are decreasingly likely to include ethics and these questions and bigger societal questions as part of the data strategies as you're trying to get the link. But it disheartens me because I thought I could see that the voices are getting squeezed out. Rob Collie (00:15:25): Decreasingly likely, like we're trending- Jen Stirrup (00:15:28): Trending down. Rob Collie (00:15:28): You know, it'd be one thing to be flat, right? I mean that would also be disheartening, but to be decreasing, decreasingly likely to be factoring in ethics into a data strategy. Now we've been talking a lot and I think it's a good thing to continue to talk about the implications of AI and machine learning in this space, the business intelligence industry isn't particularly fraught with this kind of problem, right. Transactions happened, or they didn't, you know, and it was the number of six or a seven. I mean like, you can get it wrong, you can have bugs, right. But there isn't any like objective debate about what, there shouldn't be any way about what actually has happened. But the decider systems, are a completely different game, like where should we route this patient? This is going to have a huge impact on their life. Rob Collie (00:16:21): That's a very, very, very different game and we've been talking about sort of like, the completeness of the data that is used to train these systems, but I think it's really instructive just to stop for a moment and go, you know what, even if we were able to feed these systems a 100% comprehensive picture of today's world, we still have to accept the fact that we're telling it that today's world is what we want. Right. And maybe we don't, you know and there's always a judgment in training these systems, we tell it what is a success and what isn't a success. Our unintentional biases can leak into this stuff in a million different places, even if you suddenly had God-like comprehensive powers to feed it, quote-on-quote, all the data, right. It's still leaky. It's still fraught. Jen Stirrup (00:17:13): Yeah and actually, I think it's an extension of their problem that we see just when we're building a data warehouse. Sometimes I'll go into a customer and they'll say, "you know, we want to see our data and see our latest vendor here," and then I'll say, "well, is it preserving the data or is it just, you know, been reamed out the other end, what you're doing with it? Where you're storing it?" And then the argument against the data warehouse as well. It's not going to capture everything in the possible universe of possibilities in my business, so I don't want to do it. And I find the argument goes something like, "there's an edge case that it won't cover." Others, "this edge case, it won't cover here." And then you have to say, "well, you know okay. So it's not going to cover all the possible edge cases, but it will cover 80% of what you need, and the rest, can go to shadow IT or shadow data systems or wherever they happen to be." Jen Stirrup (00:18:03): And I think we're still trying as it's a bigger picture perhaps trying to control everything that happens around our business, but we have to be flexible enough to cater for these scenarios. We haven't seen this before. I think that's what makes the AI so difficult actually, as we have more than one type of AI, we have a general artificial intelligence, which is more like Terminator, you know, these kinds of things. Rob Collie (00:18:29): Innocuous stuff like that. Thomas Larock (00:18:30): Harmless. What's the worst that could happen. Rob Collie (00:18:32): Yeah. I mean. Jen Stirrup (00:18:35): Well, I think as humans, we do enough damage to ourselves, most of the time we don't need a Skynet. Thomas Larock (00:18:38): That's true. I agree. That's often my reaction to, well you know, like self-driving cars, like what if it makes this mistake? Okay yeah but the human being track record behind the wheel, we're not trying to be perfect, we're just trying to be better than people, which is a little bit more achievable perhaps. Jen Stirrup (00:18:56): Exactly and it's all a bit context, which is how to program. You probably remember a few years ago, at SQLBits say Tom, Steve Wozniak visited. I don't know if you were there for that SQLBits but Steve Wozniak is one of the team that founded apple. You must know who he is, but he's talked to us about the Wozniak test for AI, the testers will have an artificial intelligence sought of robot come into your house and make you a coffee from scratch. Now that involves a lot of contextual knowledge. They have to find your kitchen, they have to get your ingredients and get a cup, you know all that kind of thing and that requires context. And that's more general AI, that's more difficult to program. But if we're to think with CEI being more successful for businesses automation productivity, and it's just trying to do something, one thing really, really well, something that will help a human to make better decisions faster. Jen Stirrup (00:19:51): Such as perhaps parceling out x-rays, which don't show any presence of a tumor as an example, but we then get the 10% of x-rays that makes sure something and passing those onto a human to look at. So there's plenty of rooms for defining what success looks like for us for artificial intelligence I think. With business intelligence, your right, we should have one version of the truth. People are still living so much in Excel and Google sheets and things of empires away, and that are sitting in their laptop. How do you move that to the cloud? So you move them perhaps to office 365 or a Google work space, and then you're trying to encourage people to rethink the processes about, Hey why do we save stuff in the cloud? Or why do we make our decision making more apparent? And it seems a bit difficult to ask AI to make its decision-making more apparent, when actually a lot of people spend time hiding or umpiring the knowledge anyway. Jen Stirrup (00:20:49): I don't know if you think this, but I often think business intelligence problems are change management problems in disguise. It just happens to be showing up in the data that there's a problem. Thomas Larock (00:20:59): Yeah. Rob Collie (00:20:59): Ultimately it's not about knowing, it's about improving. Knowing that there's a problem and even knowing what's causing it is really just the beginning. Very often it's like okay, now what? This is going to be a really difficult problem to address operationally. Jen Stirrup (00:21:16): I think we forget the process of optimization and business intelligence. And I wonder if that's the reason why AI is becoming so prevalent at the moment, because it is much more clearly talking about optimizing and improving processes and automating. I think in business intelligence, we have almost stopped talking about optimizing business processes. I don't see it quite as much, I wonder if we get sort of caught up in data visualization, you know Tableau came along and then power BI and everyone started chasing after that. We're perhaps forgetting that actually we're doing all that for a purpose, which is to make something better somewhere. I don't know if you find this but, I obviously run [inaudible 00:21:54] business and it's very hard to get customers to agree to a case study because they don't want to show that actually they were in a bad place and they don't want to show the competitors that they were in a bad place. Everyone's ashamed of the data. So it's really tough. Rob Collie (00:22:07): I've seen sort of multiple facets of that. So first of all, yes, everyone thinks that they are uniquely broken, everyone's organization that they feel a level of sort of like discomfort and shame about where they're at today or where they were yesterday. They feel like they're the only ones, but we see so many organizations per year, especially the kinds of projects and the pace at which we move the world is very much uniformly broken. No one's really behind, everyone's way behind of where you'd sort of like as a dispassionate observer, you'd expect people to be a lot further ahead than they are, but no, no, really the basics are still not sorted out universally. We're still kind of in a dark age, in a way. Jen Stirrup (00:22:51): Yeah. Something, I see really basic issues of one customer example of talking about where they were calculating the mean incorrectly for two years. And then two years before that, for another two years, they were calculating the median incorrectly in Excel. What they were doing was it were taking the middle value of a column. So of course, if you sorted the column next to it, the value changed. And they said that that was the median. And I said, "okay, so you've got a column of 20 items. Are you telling me that whatever's a number 10 is the mean?" And they said, "well, yes, that's in column B." What happens if you change the order in column E from perhaps alphabetical order to reverse alphabet order, the values can be changed, right? And they looked at me and I said, "why did you calculate it like that?" Jen Stirrup (00:23:41): And they said, cause we can calculate the mean using Excel formula. So eventually I said, "why are you using the mean," because it's quite sensitive to outliers the median's better. and then they said, "well we've tried that but we couldn't calculate the median either." I said, so okay "for four years you've been trying to calculate the mean and the median incorrectly in this one spreadsheet. Can you tell me about the rest of your spreadsheets? How often are you trying to use the median or the mean all of it incorrectly?" And I think it's probably the only time in my 20 plus year career, I've seen a customer actually punch himself in the face and it was just absolutely stunning. And he said, "I'll go and speak to the statisticians." And I thought, you've got statisticians working here. I'd love to meet them. Jen Stirrup (00:24:26): I wonder what they're telling you. And that was my second deal in sight, I was on the on and off for six months. And that was just the first problem I found. So I know we talked about data literacy. I'm not a fan of that phrase. I prefer fluency or something along those lines. So I don't want to assume people are data illiterate. Because I don't think that they are, I think we're born naturally within us an innate sense of numbers in a way, we can tell more from less, right? My dog can do it, right. So if I got five treats in my hand, he knows I've got others. If I just give them one, he's not stupid, he has a sense of quantity. And I think it's about, we need to get better in industry, perhaps explaining results, findings, conclusions, and context to people instead of just throwing dashboards at people and expecting them to understand it. Jen Stirrup (00:25:16): If somebody recently sent me a scientific article which was all about COVID and some testing that they did in mice, and I could read it, but I couldn't understand it because I don't have a background in medicine. I read the abstracts and I read the last paragraph and the first paragraph, but I didn't read the rest of it because I thought this is way beyond me. I don't understand what they're trying to say. But I think for me that highlighted a problem with data literacy, I could read it, I couldn't understand it, and I certainly couldn't act on it. And I don't want to give other people who are trying to consume business intelligence products in some way, whether they're dashboards or even dumps from Excel, that they just don't understand what they're getting. How we do that, I think is perhaps focusing in data translation. Jen Stirrup (00:26:03): How we do that, I think, is perhaps focusing in data translation. I had a woman who worked for me, she actually was a qualified librarian. So, her insights about information retrieval were very interesting. I learned a lot from her, because that was a little bit the data. And she would say things like, "Jennifer, Google is not the only search facility in the world. We can use so much more," because she's accessed all their library systems around the world. And there's so much information we don't access because we can't, usually. But the point being that what I learned from her was about translating things, where they were easier to understand for other people. And I think it's an incredibly valuable lesson, and the world needs more librarians. Rob Collie (00:26:43): There's a lot here, right? Business intelligence was always a means to an end, but because it was so difficult, it was just so incredibly difficult to even get a halfway-competent system instilled, built, configured. When something is that hard for that long, it becomes its own goal after a while. It's easy to habituate to the idea that this is the goal, intelligence is the goal, knowledge is the goal. No, no, no. Improvement was always the goal. What's really been fascinating for us is, when we see our clients, the people we work with, when we see them start to get the BI problem under control for the first time ever, their gaze immediately sort of zooms back and they start thinking completely unbidden by us. We don't have to seed this conversation. It just happens. They start looking at the bigger picture now and going, "Oh, okay. So, now this information needs to feed into better decision loops and optimization and things like that. And how do we facilitate that?" Rob Collie (00:27:53): And from the beginning, we try to counsel everything being built around that "taking action" thing. You can build an incredibly informative dashboard that is intelligent, it's a work of art in many ways, on many levels, and it can be useless. It can be factual, it can be impressive, and it can be useless because you can't use it to make any improved decisions. I've been guilty of this. I have built things like this, like, "Ta-da." And the client doesn't even have the language to push back. Jen Stirrup (00:28:30): It's something I've tried to keep in mind now is the utility of what I'm actually doing, because people just want data for the sake of data, and they get that. I think, sometimes, they don't know what to ask for, so they take something because it's better than nothing. And they'll say things like, "Right, I want the last five years of data and 191 columns, I want it all on the same page, and I want to be able to print it." And then you have to say, "Well, let's think about how feasible that is. You'll get five years of data, it's not going to fit in one page. 191 columns is going to be really small. So, let's have a..." People ask that because they don't know what they want. Jen Stirrup (00:29:06): About a dashboard recently, a health and safety dashboard, it was using power apps as well. So, the company, if they saw a health and safety priority issue, they could use the app, if they were health and safety professionals, and the app would record data, you could upload a photograph, and then that would go into a system which you could then see in Power BI. And the nice thing about that was you could see improvements over time because people could get their health and safety issues resolved more quickly, so things like boxes stacked against fire exits, slip and trip hazards. Jen Stirrup (00:29:43): Now, it may not seem very interesting, but actually, the reason that project had happened was because someone that had been in a health and safety incident and it had not been tracked properly, and the idea being that they were trying to improve the process. But sometimes, I think data problems and data solutions happen because of two things. One is you need an executive sponsor, and the second thing is a crisis. And together, the executive sponsor and the crisis will engender change somewhere. And that change management process so often turns into a business intelligence solution. And nothing is an industry. It's something I'm personally trying to always keep in mind is: what's the purpose? What's the optimization? What problem am I trying to solve? Rob Collie (00:30:30): Yeah, one time, I was asked by a client to help debug a report that was really slow. So, this is great because this is an example of a report that I didn't build, right? I can use an example that wasn't one of my own families, but I'll tell my own as well if you want. But I go, "Okay, I'll take a look at it." I'm expecting some sort of DAX or data modeling problem or something like that. And they show me the report, and it is a 100,000-row pivot table. The pivot table has a 100,000 rows in it. There's DAX behind it. It's a DAX data model behind the scenes, but the report itself, the output is 100,000 rows. And before I even engage, I just turn and look at them and say, "Oh, my God, who was using this? You don't have a performance problem. It's..." And they're very insistent. "No, no, no, no, no. This is the thing. We need this." I'm like, "All right." Rob Collie (00:31:21): So, I start looking at it, and it's crazy how many columns there are. And it was a list of every employee and every location that they have in the country, which was hundreds of locations and thousands of employees. And for each employee, their scheduled time-in and their scheduled time-out, and their actual time clocked in and actual time clocked out. I turned back at him again and I go, "Okay, really? What are we doing here?" And they're like, "Okay. So, we have all these regional managers that are looking at this multiple times a day, probably eight times a day or more, to try to figure out if any of their stores are empty, aren't staffed because people didn't show up." And I just smacked my forehead and I go, "You don't need the timecard report," which is what they called this thing, the timecard report, "You need the empty store detector." Rob Collie (00:32:18): And I mean, there was no way to make this thing faster. I mean, this thing was such a gross misuse of technology. I just went to the whiteboard and I sketched what the empty store detector could look like, and they're like, "Oh, that's great. We'll never get our managers to switch over to using it, so let's just go back to fixing this other piece of junk." Jen Stirrup (00:32:37): Yeah, because something that I struggle with, personally, is the idea of surveyance reports. It's something that really bothers me. I've pushed back on a few customers to see, "Are you micromanaging or are you surveying? What is it you're trying to do?" On occasions, I have escalated it to say, "Look, this report is probably been used to hit people for the head, and I'm not comfortable with this because I think this has gone beyond micromanaging." And we had set the scope of the project of the thing we were supposed to deliver. So, I'm going to escalate this because I want to understand better the purpose. And if I'm wrong, we will deliver it." Jen Stirrup (00:33:12): And normally, when I go back and see that, even in that particular instance, I showed the senior management and I said, "Your middle management want to do this." And they said, "No. We are not spending time doing that. We need to understand the wider context. If there is any issues going on with staffing, then this is probably a symptom rather than the cause of the issues, if people are being watched like that." So, I think some teams escalating, as much as I don't like to do it, sometimes is the best way forward. Rob Collie (00:33:44): It takes a lot of professional courage to do something like that. For example, have you ever taken one of those principled stands and ended up no longer working for that client because they basically fire you for not staying in your lane? That's a risk, right? Jen Stirrup (00:34:01): Yeah. It is. I've never been fired for that, but I have said, "Uncomfortable, and I'm we going to stop delivering services, and we need to decide on an exit strategy." There's different ways you can do that, right? So, you deal with the current project. You then say that you're busy for the next century when we come back to you for other work. I don't like doing that because I often feel like you should give them an alternative to say, "Well, here. I can't deliver it, but I know someone who can." And then I recommend one to my network. But the thing is, when I make these quite principal stands, people back down often, or they back down and they just asked me to do it. But when I've gone back to people like that customer, who come back to me for extra work, I've done some investigating work and I've found that they have not implemented a thing that I've been worried about or concerned about. Jen Stirrup (00:34:49): So, I think, sometimes, if you do speak up, people are maybe surprised by it. It's maybe different who it comes from. And I think, perhaps, even a soft Scottish accent, smiling sweetly at them and saying, "Can you explain to me a bit more about the reasoning behind this? Because your team want to do this thing, but I have some discomfort because it's outside scope." And they're not telling them, and they're very direct. Wait at first, but they start to get their message. Jen Stirrup (00:35:16): A former boss of mine years ago, he said I had a soft rein approach. I actually think that's a nice way of putting it, where, as much as I might be tempted to go in all guns blazing, I'm trying to gently bring it up and then bring it up again a bit more firmly, and then, suddenly, people are starting to understand better. But that's me having to probably, sometimes, exert a huge amount of self-control as well. But I think that's part of the consulting game. It's very tough. But I think seeing something like that happen, I think the reason it happens is because people aren't thinking about it longer-term. And me as a consultant, it's easier, perhaps, for me to think about it long-term and also a bit more closely as well, because you are thinking about the consequences of what you're trying to do, the purpose. Rob Collie (00:36:04): Yeah. If you're good at data and you're experience with it, you spend a lot of time with it, that allows you to put some of those things a little further down in the subconscious, and the rest of your human faculties can resume working, whereas, I think, for people who data is still this arcane thing, it's not the thing that they've spent their lives with, it's just really easy to get target-fixated on the data, data, data, data, right? "It's not about the people, we're trying to figure out the data," right? "And inform me," and all of that. Rob Collie (00:36:33): And I think it's like when you're first learning to drive, I couldn't have the radio on. The radio was really distracting. And you certainly couldn't have a conversation with someone next to you. So, all you can do just to make sure that you're turning the wheel the right amount and all this kind of stuff. It's just overwhelming. But once you internalize all that stuff and you build the muscle memory and all those sorts of things, now your brain is free to do some other things. Like this data fluency thing we were talking about, it's neat how, as you climb that slope, you're never there, it's a perpetual journey, the other parts of the equation like the human things, right? They can come back. Rob Collie (00:37:12): An example, even just from our own business, we do a lot of internet advertising. And sometimes, when people at our company are thinking about this, now the wrong way to do it is to go and like, "Oh, let's go look at the ad words API and let's get fascinated by the tech around this." And I'm always trying to remind people that, no, no, no, we're trying to scale a human interaction. That's what we're trying to do. We're trying to reach people with our humanity- Jen Stirrup (00:37:43): I think that's so true. Rob Collie (00:37:43): ... and we're using a technological system to do that. It's a tool for the other thing. Jen Stirrup (00:37:50): You're so right. I think we should be using technology empower and enable. And I think my personal mission is about helping people. I find that rewarding, personally. I like things with a purpose, so that's why I do charity work with organizations like DataKind, because when you get someone crying because you've solved a problem for them and you've helped them, you know how incredibly grateful they are. But I think, for me, that's why diversity and inclusion, equality, and intersectionality more recently has become really important to me. Jen Stirrup (00:38:21): I'll just give you a few examples that's in my head. I did a project recently, and there was a woman of color in my team, and I felt that she was being talked over. I'm used to being talk over, softly spoken. But I could see it with her. And I just made a conscious effort to say, "I'm sorry, but I don't think she's had the opportunity to speak, and I can see she's tried to have some input." So, some of it's a bit like that. But some of it is directly saying, "What do you think? Sorry, we haven't heard from you," and pulling people out. And you know what? She was and is still incredibly insightful. And sometimes, the best data scientists I work with are people who can't code. And I think about her and I think about another woman of color as well that I work beside. Jen Stirrup (00:39:06): Fantastic data scientists, they both know Excel, but they can't write a line of code. And the reason they're so good is because they are such fantastic questions. That means the rest of us who can code have to then go and get the answers. And I think the knack of asking the right questions is such a gift, it's such a skill, and it's something that I am consciously trying to improve myself on. And I think diversity, inclusion, and equality is really important, but we wouldn't get anywhere with any of that if we're not allowing people space either to talk or we're not able to give them the space to ask the right questions. Jen Stirrup (00:39:42): Now, I am constantly learning every day. And to do that, I'm having to learn to get better at asking questions. And it is a skill to ask, but I think, when we're dealing with data, it's about helping people not to feel stupid if they're asking questions, because I think, with these particular cases, it's very easy to feel diminished in a conversation where other people are understand the technology, they can code, you can't, but you've got an insight. I know we talk about data-driven, but I like the term "insights-inspired," and I wish we had more of that because that, I think, gives us room for other people who perhaps don't understand the technology but do have business insights that I would never get, because they help me interpret the code or the data to make it better. Thomas Larock (00:40:28): So, you said data-driven, but you prefer insights-inspired. I think those are still two different things because, when I think of data-driven, I actually think of that in terms of, "I'm going to make a decision based upon what the data's telling me, not upon my feelings." The insights-inspired, to me, is how I get to the question I want answered, right? But I'm still data-driven. I think there's some overlap, but I also think there's a lot of space there where they are distinct, because I do believe in data-driven because I've been in those meetings where somebody's like, "Yeah, I don't really care. We're going to do what I think is right." "But the data says something completely opposite." "Yeah. That doesn't matter to me." And lots of those cultures exist. I love insights-inspired, and I'm going to steal that. Jen Stirrup (00:41:16): That's fine. I think we need both, actually. I'm sorry if I wasn't clear. But you're right, there is a good impetus for people to think, "What does the data say?" And I like that. I think the "insights-inspired" piece will help us to understand if the data's right. And I'll give you an example of something that I did. So, I was doing some work for the national health service and there's some data missing for a hospital, and it was not an insignificant amount of data. It was for about five years, the data. And I searched for it all morning, and I was just about to ,arch down the corridor to go and corral a DBA to ask him, Have we lost any data? Because I cannot find this." Jen Stirrup (00:41:55): And then, when [inaudible 00:41:56] was passing, she said, "How are you doing?" I said, "Oh, have you ever worked at this hospital?" I won't mention which one it is. And she said, "Oh, I was there until it closed for five years and it merged with another hospital." And I thought, "Oh, you've just answered my question. Right." Because I was sweating beads because I thought, "We've lost five years' worth of data." And I thought, "We've done that. We are in so much trouble," because it's a lot of data. It's a lot of patient data. No, no, no, no. They went somewhere else. And there was a very good explanation that I would never have got by the data. I could have hugged her. Jen Stirrup (00:42:31): And to this day, I still feel the palpable relief, because I was walking in the hospital, thinking we need a really good explanation for this. But according to the data, it was not there. So, I think, when I look at data-driven, I think they're two sides of the same coin, because insights will tell you what the nurse said, "Well, actually, it's like this," and they will add to the interpretation. Jen Stirrup (00:42:54): I just sat in a meeting once where one of the leaders said, "All right. So, we've got the data now?" I said, "Yes, everything's fine." And in front of four of his team members, he said, "So, we can get rid of the business analysts then, because we've got the data now." And even when I mention this, I still, at this point, feel my blood pressure rising, which is not good for me. I am well over the age of 40. And actually, I was stunned. I said, "How are you going to understand the data if you don't have your business analysts. Who's going to tell you what it means? "Oh." I said, "Are you really thinking that you can just throw your data at a wall, see what sticks, see what's left, and that's going to drive a business? Because, pretty much, that's what you're doing, if you are not involving the people who understand the business." Jen Stirrup (00:43:43): And after the meeting, I mean, some of them were crying, saying, "He was talking about me losing my job." And the people impact was terrible. So, this is where I've got my principals coming in. So, I went and I escalated that afternoon, and he was taken off the project the next day. That was due to happen. That was just outrageous. And if any of you who are listening and this is you, I love that team, their insights were incredible and I learned so much from them. And to the leader in that organization, please listen to your team members. You will get so many many great insights. Rob Collie (00:44:23): Wow. Jen Stirrup (00:44:24): Sorry, this is very cathartic for me. I'm glad you've brought me on today. Rob Collie (00:44:33): I mean, just watching your face as you told that story, I can see the emotions that you're feeling, right? Jen Stirrup (00:44:37): He's going to get this. Rob Collie (00:44:38): And it's a mix, right? It's a mix of the beauty of some of these people that you worked with, right? Contrasting with like this horrible, horrible attitude, at the same time, from this one individual. When you have all those feelings at the same time, it's like you need a new name for it. It's like, "What is this feeling?" Jen Stirrup (00:44:56): And I think the industry is like a pendulum, so we go towards data-driven. And for some organizations, they need good data-driven, so Tom's given a great example. But sometimes, it goes too far and they say, "Yeah, I read that buzzword. I'm going to do that." And then, there's an expense, something has to give. And that, unfortunately, was his team. Like you said earlier, Rob, it's about the people. We should be there to help people by helping people do their jobs better, not necessarily replacing them. That was not ever on the menu. Rob Collie (00:45:29): Yeah. It's counterintuitive. Sometimes, when your data system gets better, the right move is to have more analysts because there's more ROI in having them. Even just hiring a data professional services firm such as yourself, the reason to do it is because the ROI can be massive. Jen Stirrup (00:45:51): Yes. There's lots of unseen costs. I worked with an accountant last year who spent four out of five days a week merging Excel together. And I sat with her, I got to know her pretty well, I mean, remotely because of COVID. And eventually, she said, "Oh, I'm looking for a new job." And I said, "Oh, really?" And she said, "I did not incur a graduate debt to sit and do something that I could have done without my degree." She'd put a lot of effort and, same in the US, lots of student loans to do a degree. And she said, "Technically, my job title is accountant, but I'm not accounting. I am munging data around in Excel." And one of the projects I had recommended was data integration, right? And they wouldn't go forward it. They kept saying, "No, no, no. We've always done it this way. So-and-so om accounts does all that." But they never asked her what she wanted. Jen Stirrup (00:46:43): So, she left, and I was not a bit surprised because she said, "I want to be an accountant. I want to account." And I know that it's not my personal lifestyle. It wouldn't be my choice of a job, but for her, she just loved that, and she wasn't getting to do. So, sometimes, the causes are quite unseen if you're not looking after the processes or the data, because that incurs hiring costs, then, on staff onboarding costs that don't get included often as part of these business strategy projects. When I'm doing a data strategy, I try to include them, to say, "But what happens if you change? But what happens if you don't?" And you're going to lose people because your people, very often, want to be skilled in the later technology. Jen Stirrup (00:47:25): And I'll give you an example. One customer I worked with said to me, "We need your help with reporting services, SQL server." So, "Okay, good. I like reporting services." Then, they talked to me and I said, "What version are you using?" And they said, "2005." And I said, "Why?" "Because the application that's using it requires SQL server 2005 and we can't upgrade." Said, "So, what was the application written in?" "VB6," which you may have heard of that technology. It was around in 1999. It was last century. So, the data state was antique. I had no idea that it was that bad. But then, the application came up, and Microsoft still do a version of a Visual Basic. You can go to the site, the latest version... But the point being that the staff and that place had settled for VB6, they'd settled for 2005. That doesn't mean that you're getting the best team members. And when we worked, it was recommended an architecture. Said it was not touching it with our [inaudible 00:48:30]. Rob Collie (00:48:30): I'm still very fluent in VBA6, so maybe after we finished this show, can you give me the information of this organization? I might go apply. The last place on earth that VBA6 fluency is... Actually, that's not true. It's still being used everywhere. It's just not being used centrally. Jen Stirrup (00:48:53): Yes. I did say to them, "I am not touching any software that was not built in this century. So, if it's in the last century, you've no chance." So, re-architected, actually, we're using the Azure Cosmos... Thomas Larock (00:49:04): It's a good rule. Jen Stirrup (00:49:05): ... and dot... Yeah, it's a good rule. It's a rule to live by, you can quote me on that. I use no software built in the last century. In fact, I'm going to make that my new company advertising strapline. That's great. I like that. So, they're happily in Cosmos and .NET. And we used that because the developer said, "Hey, does that mean we get to modernize?" I said, "Yes. And you will either modernize or I will leave. Your bosses are going to have to modernize." So, they did. But again, that soft Scottish accent comes up. "Well, why don't we use software that's built in this century?" Rob Collie (00:49:42): It's a devastating maneuver. If we were making a card for you in a trading card game, that would be one of your two power moves, right? Soft Scottish accent. And the description of the power is something like, "Removes all defensive screen cards from opponent." Thomas Larock (00:50:07): Disarming. Jen Stirrup (00:50:10): Absolutely. Yeah. It's just funny how the data problems are really throwing up what's wrong with the organization. Obviously, they did that, but two years ago, I went to visit them again, just before COVID last year. They'd implemented a data science team and they just wanted some strategic consulting. And I was really pleased with how they turned around. So, sometimes, if you just find a problem like that, a small success, building those small successes, and they were allowed to up. I don't know if you see this, but big thing of what I'm doing when I'm in organizations is change management, but also a lot of that's people. And people tend to align themselves with success. So, if you can just show one small success, people get on board with it. Rob Collie (00:50:53): Yeah. I mean, it's everywhere in humanity, right? We're fundamentally pattern-matchers. And if you haven't given a population any positive patterns to match, no examples, it's amazing how stuck you can be. But one success, right? We have an infinite percentage increase in our population of successful examples. We went from zero to one. Like you say, the dog knows that there's five treats in your hand, right? We're not dumb. If there can be one success, there can be more. But if there's zero successes, that's powerful. Jen Stirrup (00:51:25): Yeah. And I don't know if you see this problem, but it's something I see a lot is people think maybe Tableau or Power BI, they buy this, it's going to give them a success. And it does, until the data starts to get hard. And then they either have to scale up in DAX, which is fine, but sometimes they don't have room or bandwidth to do that, so they get almost a bit depleted because they realize, actually, data's hard. We've never really nailed data as the human race. Rob Collie (00:51:55): It's always hard. Unfortunately, to sell software, to a certain extent, you have to sell the lie. If you're a software vendor, you have to se... Rob Collie (00:52:03): ... have to sell the lie. If you're a software vendor, you have to sell the lie that this tool is the magic fix, that it's going to make data easy. And I do actually, in a weird way, I kind of like blame Tableau for making this worse, but while at the same time, being very grateful to Tableau that they made interactivity a must have. Jen Stirrup (00:52:24): Yes. Rob Collie (00:52:24): I think they were actually, more than any one entity, responsible for us breaking this notion that reporting services and similar tools were it. Jen Stirrup (00:52:34): Yes. I remember the first time I saw Tableau. I had been hired as a developer for SQL server [inaudible 00:52:40] services and my boss said, "I think this is a future, this stuff, Tableau. Here's the download link. Tell me what you think". 10 minutes I was completely hooked and it changed my career because otherwise I would have probably stayed in the database reporting world and I suddenly thought there's a whole world here with stuff. So I love what they did. I really, really think it was groundbreaking. Thomas Larock (00:53:01): At what point did a report just become synonymous with the word "Tableau"? I have a limited experience and maybe it's an outlier, but to me, I always hear people say, "I'm going to run a Tableau report". I mean, it's just a report. I worked with Crystal and BusinessObjects, same thing I guess. And do people always qualify the type of report they're running as if that makes it more special or do people always say, "I'm going to run a power BI report"? Why is it always a qualifier? And in my case, I always hear, "I'm going to go run the Tableau report". I'm like, "It's just a report. It doesn't really matter what's the software that's doing it. It's just data. It's just a report". But I hear that a lot. I just figured I'd ask you two if that's the same experience? Jen Stirrup (00:53:43): Yeah. I think I'm hearing that more and more and I actually think it's almost going the other way, where people are only wanting interactivity, they're only wanting things they can click and tick. And what they're not wanting as much is a SQL server, mahogany red, forest green, slate gray, corporate template, because that was the what, about four templates you got with reporting services. So I see that more and more apart from the finance world. They still very much want it. But what I'd still see is a big need for tables. People still want to export to Excel. And I think it was you, Rob, who actually said this years ago, that the third most common button in Tableau is something like "export to CSV". Thomas Larock (00:54:26): Yeah. Rob Collie (00:54:28): Yeah. The third most common button in any data application is "export to Excel". Thomas Larock (00:54:32): Yeah. Rob Collie (00:54:32): Behind "OK" and "Cancel". That's the joke. And what it is, is an acknowledgement of, again, the human plane that this report, this app, does not meet your needs. It's in a way like if you could instrument your organization and find all of the "export to Excel" buttons that are being worn out, those are like the hotspots for you to go and improve things. That button being, click, click, click, click, click, click, click all day long, is telling you that there's a tremendous opportunity for improvement here, both in terms of time saved, but also quality of result. Quality of question that's even formulated. You mentioned questions earlier, asking good questions. Here's the problem. The ability to execute on answers and the inability to execute on answers, the friction, the inertia, that works its way upstream into the question- forming muscles. The question-forming muscles atrophy to a level where they fit the ability to execute on the questions. And so when you suddenly expand the ability to answer questions, it actually... You've got to go back and re-expand your question-asking muscles to be more aggressive, to be more ambitious. Jen Stirrup (00:55:52): Yes. I think sometimes the data-driven piece is trying to, in a way, subtly bring that back into play. It's okay to admit that we don't have all the answers and it's okay to admit that we need to ask questions. I think there should be more of that. Something that, certainly earlier in my career, asking questions was discouraged. It meant you didn't know it. It meant that you were vulnerable in some way. And I think as an industry, we need to encourage people to ask questions. I think with the diversity inclusion piece, try and make a conscious effort. If I think someone in the meeting is being quiet, regardless of the background, but at least I'm trying to watch out for that now, whereas maybe 20 years ago, I wouldn't have realized it, but sometimes people do sometimes need that extra help to speak up and speak out. They often don't know what to say or how to beckon to a meeting and say something. It's quite difficult. Jen Stirrup (00:56:51): Especially if you were being measured in your performance. I think sometimes people see things very confidently. And actually when you start to pick it apart, you think, "I need to as a person, stop believe in confidence and maybe thinking is that right, not how it's being delivered". I think they're stolen for quiet voices, hopefully like mine, who are trying to say things but I do find that harder to get heard. I think it's good that you do podcasts like this because I think it gives people the opportunity to talk about different ideas and how they impact people because that is important. There's loads of vendor podcasts that will talk all about the technology but we need to know better how to apply it. Rob Collie (00:57:31): When we were talking about starting this show, it was pretty clear we did not need another tech show. People who are working in tech, but are human beings, like yourself, and who are focused on helping other human beings. We weren't sure if it was going to work. It was one of those like, "Are people are going to listen?". Thomas Larock (00:57:45): We're still not sure. Rob Collie (00:57:50): We knew that we were going to like it, but yeah, it's building an audience. I've enjoyed it. And plus, it's an excuse to get together and talk with people such as yourself. If we just pinged you out of the blue and said, "Hey, you want to get on a two hour Zoom call with us and just catch up?". That's going to get pushed and pushed and pushed and pushed, but, "Oh a podcast? Oh, well, yeah. That's exciting". Jen Stirrup (00:58:14): Yeah. I know what you mean. It's good to, I think, to try and translate data and technology into something people feel is within their reach because I think there is still an element of people who are almost being scared of working with data. I deal a lot with CTO's, CIO. I was busy CTO and some way reports sent to their CFO because their CFO is over all of it, keeping costs down. The CTO has to work really hard to justify them. And I think what they want, ultimately, is not to appear stupid or not to know what they're doing. So some of these leadership conversations I have are about people saying, "Explain these terms to me. I don't know what a data lakehouse is. Do I need one? How's it different from a data lake? What about the warehouse? Is that going away or is that rebranded as well?". I know Microsoft talked about data hubs recently. If you're a data vault person, a data hub means something quite specific. It's been a term around for 30 years to mean something else. But I think sometimes people get very confused with the terms. Rob Collie (00:59:16): Like for example, the noun "dashboard" in Power BI, right? It's just a head clutching frustrating mistake. I mean a Power BI report is probably best described as a dashboard. The multi-visual, interactive experience, lowercase D dashboard is what I always want to describe it as, but no, no, no, no. We repurposed that word. Jen Stirrup (00:59:41): I know, and customers don't always understand it because they say, "Well, actually my report looks exactly like the dashboard. So I don't understand this publishing thing". So I have to try and explain that actually, we can take data from [inaudible 00:59:55] here and you can extra things. I'm interested to know actually, how much Power BI users spend actually making dashboards as opposed to making reports. And I just wish we'd ever the answer to that because sometimes you just want to get reports that they can run in their desktop or not always sometimes use a browser and just have the reports and have them open on the actual dashboards higher up. So I feel that's a bit of a separation that maybe wasn't required to have. But Tableau does something similar, doesn't it in a way? But I think with Tableau, it's a bit more clear that you're putting these things together. Rob Collie (01:00:29): Well, we were talking at the beginning about the importance of comprehensive training sets. Well, let me just tell you, we only need one data point here. I, as a Power BI user, have never once created an actual Power BI dashboard. So let's just conclude that that's it. No one uses them. But yeah, I've never felt compelled to need one. I tend to put together, what I need in the report. Jen Stirrup (01:00:56): Yes. And that's what I do because I'm trying to get the customer from A to B. I'm trying to do it quickly and I can see that they've reached on that tool ceiling of where they want to go and then they've got this other thing they need to do and they don't understand why. So sometimes it's a battle I just don't have because I just think, "You know what? These often been through so much to get to that point in the first place, cleaning data and getting access to the data and all the things that are hard and even understanding what they want in the first place". I try and work out where the fatigue is. Rob Collie (01:01:28): Yeah. I think there's a certain hubris just in the idea that a user will go around and then harvest little chunks out of other reports and take them completely out of context. Anyway, we didn't come here for cynicism today but- Jen Stirrup (01:01:43): I have plenty of that. Rob Collie (01:01:43): But it's still there. We can't really help it. So it's come up a few times and I want to make sure we actually make some time to talk about it specifically. So you've mentioned a number of times, inclusion and diversity and already a few anecdotes within your own professional organization, within your own firm. Outside of your own data relish organization, what are you up to in this space around the diversity and inclusion as a cause? You're very active in the community in this regard. Can you summarize for us what all you're up to? Jen Stirrup (01:02:15): Yeah. I've started there to talk more about intersectiona
In this episode, we have Ben Dyer, a Cambridge University rower and also, someone who had his own Chronic Comeback story.Ben has been on the news lately for being a member of Cambridge Blue winning the 2021 Oxford vs. Cambridge Boat Race, and how he got inspired by Sir Steve Redgrave's autobiography to overcome his Crohn's disease and get himself in the best condition possible to compete.In this episode, you'll hear the challenges he faced when he was finally diagnosed with Crohn's when he returned to the U.K. for further test, the challenges he faced, and his unwavering optimism that he will overcome Crohn's...and so he did! FOLLOW BEN ON INSTAGRAM▶ Instagram - https://www.instagram.com/ben_dyer_92FOLLOW US ON SOCIAL▶ Facebook - https://www.facebook.com/TheChronicComeback▶ Instagram - https://www.instagram.com/thechroniccomebackSUBSCRIBE TO THE PODCAST▶ Apple Podcast - https://podcasts.apple.com/gb/podcast/the-chronic-comeback/id1533970626▶ YouTube - https://www.youtube.com/channel/UCW_BGsN1LaeL4iudgSNUw7A▶ Spotify - https://open.spotify.com/show/71485tI9o4JPPkg1IpmDaX
Better wellbeing leads to improved academic attainment.To me, and perhaps yourself, this is a very intuitively true statement.But as educators, we all want to make the right choices when it comes to improving our children's wellbeing - so having trusted researched evidence to back our intuition when it comes to raising wellbeing for raising success - is, in my opinion, more than welcome. Will government even support us fully without thorough and dedicated academic research linking wellbeing to success? and, might this research actually cause us to question our definition of success and reevaluate what a successful educational outcome looks like? For these reasons and more, I celebrate today's guest, Tania Clarke, a PhD scholar from the education faculty at Cambridge University, who is undertaking an enormous research project to examen the link between psychological wellbeing and academic attainment at school - so that we all might better understand the reasons behind this relationship that we know exists, and for what this greater understanding could mean for schools. "Some educators feel that wellbeing is a nicety rather than a necessity, but my research and the work of others in the field suggests that on the contrary, a whole-child approach to education, whereby children's wellbeing is seen as foundational, is critical to children's development of self but also their ability to learn." Tania Clarke.Join me for this inspiring and highly informative conversation, including Tania's action items for teachers to implement now.Connect with Tania on LinkedIn https://www.linkedin.com/in/taniaclarkecambridge/and Twitter https://twitter.com/taniaclarke_At Class Yoga we pride ourselves on being experts in wellbeing in education, which is why we created Well Ed - it's a video resources platform for schools and teachers providing yoga and mindfulness for pupils and staff. Start your free trial now at classyoga.com/welled
The Private Equity Profits podcast with Seth Greene Episode 004 Rudy Burger Rudy Burger Founder of Woodside Capital Partners Rudy Burger has worked with computer vision, digital imaging and embedded camera technologies as a founder, operating executive and advisor. He has developed both a deep technical expertise and an awareness of market opportunity dynamics in these sectors that he leverages to guide his clients towards strategic successes. He currently focuses on AV/ADAS, mobile, health tech and IoT applications of vision/imaging technology and has written several industry research reports to profile the leading and emerging technologies and outline the market landscape. Rudy is the Founder of Woodside Capital Partners and works with growth stage technology companies to execute local and cross-border M&A transactions and private placements. Prior to founding WCP, he was the founding CEO of the MIT Media Lab Europe - a joint venture between MIT and the Irish government. His professional experience also includes executive roles at NEC, Visioneer and Xerox. Rudy has also started five imaging companies. Rudy holds degrees from Yale (BSc and MSc in EE) and Cambridge (PhD in Digital Imaging). Listen to this informative Private Equity Profits episode with Rudy Burger about Investment Banking. Rudy's unusual path into investment banking. How Woodside uses sub sector special specialization to its' advantage. Ho re strategizing save a deal to sell a company to Microsoft. The importance of team building The value of communications/speaking and published reports. The best advice that Rudy has gotten. The Value of diversity in your team. Connect with Rudy Burger Email: rudy@woodsidecap.com Website: https://woodsidecap.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices
Whether you need to buy a house or a car, sell products, ask for a pay raise at work, or even ask your kids to go to bed early and so on, in all of these situations you are in the process of negotiation. Negotiations are everywhere. How can you get the most out of the game of negotiation? The book Everything Is Negotiable, written in simple and understandable language with vivid and intriguing examples, teaches you how to improve your negotiation strategies and skills and can help you achieve your goals and come out on top in any negotiation.
My guest today is Anna Malaika Tubbs, the author of 'The Three Mothers: How the Mothers of Martin Luther King Jr., Malcolm X, and James Baldwin Shaped a Nation'. She is also a Cambridge PhD. candidate in Sociology and a Bill and Melinda Gates Cambridge Scholar. We talk about black womanhood, motherhood, the wonderful life of these 3 historical characters and the Meghan-Oprah interview!
Rob Henderson grew up in poverty, foster care, and was a poor student. To escape, he joined the Air Force at 17, getting a top score on the military entrance exam, and discovered a love for understanding what makes people tick. A few years later, he was at Yale, and is now a Gates Cambridge scholar working towards a PhD in psychology. More impressive than his secular credentials are the ways he distills insights about human behavior, rooted in his own experiences finding himself in unexpected situations. His popular twitter feed (@robkhenderson) is one of the highest signal to noise accounts on the platform. His writings in the New York Times, Wall Street Journal, and Quillette have captured the imagination of those seeking to better understand the trends shaping our world. And his discovery of "luxury beliefs" reveals that the currency of the elite is no longer materialistic, but rather what you outwardly say you believe. In this wide-ranging conversation, we discuss: +How growing up in poverty shaped his perception of the world +How standardized testing can help talented people in poverty get otherwise unavailable opportunities +How his upper-class Yale classmates gave him a taste of what drove elite culture +How he inadvertently grew his twitter following to tens of thousands of followers by tweeting screenshots of the books he voraciously reads
Quillette contributor and Cambridge PhD student Rob Henderson talks to Toby Young about how cancel culture became one of America's most successful exports and why upper middle class whites have embraced the woke agenda. Rob recently wrote a piece for Quillette entitled America Exports Cancel Culture to the World.
Quillette contributor and Cambridge PhD student Rob Henderson talks to Toby Young about how cancel culture became one of America's most successful exports and why upper middle class whites have embraced the woke agenda. Rob recently wrote a piece for Quillette entitled America Exports Cancel Culture to the World.
In this episode, I chat with my childhood friend and my real life Dr. Ross Geller , Columbia University and University of Cambridge PHD grad, Dr. Karim Mukaddem about solar energy. He tells me about what our current energy consumption looks like and its sometimes problematic implications- and breaks down solar energy: where it's at, where it's headed, why it's valuable and most importantly: how it works! Karim emphasizes the importance of us doing more individual scientific research to understand the real data behind media headlines and tells me that he discovered his must-know song (hint: think Eurovision song contest) on TikTok! Karim's Resources: Annual energy usage and breakdown by source Energy consumption breakdown by type of consumer Potential of solar energy and harvestability Tesla Solar Panels Bulb UK Science Direct Karim's published research on Google Scholar Karim's song: Think About Things by Daōi Freyr (Iceland's 2020 Eurovision song) Follow @smartbutdumbpod on IG for all podcast updates
Torah commentator extraordinaire Avivah Zornberg, author of six books, with a Cambridge PhD and a grand rabbinical heritage, finds the human side of our greatest biblical figure. Moses's fundamental sense of himself as “not a man of words” comes to a poignant consummation in the long speeches he makes to the people before he dies. What does it mean to learn to speak?For more information about services and programs at Park Avenue Synagogue, visit our website at https://pasyn.org.
More on the social unrest situation in Chile. In this episode we hear from Alonso Barros, an attorney and Cambridge PhD. Alonso is involved in many things, among them serving as an advisor to various Indigenous Groups in Chile. Dr. Barros knows the details of the situation between various stakeholders in the world's largest lithium brine producing region well.
Back again after a long break, it's the podcast with the catchiest title and the freshest insights into some of the most exciting work in the field of American history. The Cambridge American History Seminar Podcast has returned for the 2019-20 academic year! In our first seminar of the year, Dr Noam Maggor (Queen Mary, University of London) and Professor Stefan Link (Dartmouth College) talk to Cambridge PhD student R.M Bates about their paper 'The United States as a Developing Nation: Revisiting the Peculiarities of American History'. They discuss the existing literature on the America's economic development in the second half and first half of the twentieth century, the importance of explaining the atypicality of this story without falling into exceptionalist potholes, and the usefulness of an existing literature on East Asian developmental states in reconfiguring our understanding of this period in American history. Of particular interest to the two is the emergence of the automobile industry in Southeast Michigan in the late nineteenth century. They also touch on the process of writing collaboratively, the influence of the 'New History of Capitalism', and the benefits of doing your research in what might be seen as less exciting places. If you have any questions, suggestions or feedback, get in touch via @camericanist on Twitter or ltd27@cam.ac.uk. Spread the word, and thanks for listening! See you next week! Schedule for the Cambridge American History Seminar- https://www.hist.cam.ac.uk/seminars/american-history-seminar
Here is the last episode of term, and it’s a big one in every sense! Professor David Blight, the Class of 1954 Professor of American History, and Director of the Gilder Lehrman Center for the Study of Slavery, Resistance and Abolition, Yale University, speaks to Cambridge PhD student Yasmin Dualeh about his new book ‘Frederick Douglas: Prophet of Freedom‘. Due to the richness of the book and the depth of conversation, this episode is significantly longer than our usual podcasts, but I’m sure you’ll agree that it’s absolutely worth a listen! Among the countless topics covered here, including a recap of several significant moments in Douglass’ life, Professor Blight touches on self-making through autobiography, the importance of public oratory as performance and work, and some of the interesting ways biographers have attempted to connect with their subjects. The book is widely available online and most likely in your local book store now. As of last week it is also the recipient of the Bancroft prize (for the years best books on diplomacy and the history of the Americas, which happens to be Professor Blight’s second), so you don’t have to just take my word for it when I say it is a truly incredible book. Thank you for listening this week and for the rest of Lent term. We’ll return for the final handful of seminars of the academic year beginning in late April. If you have any questions, suggestions or feedback, get in touch via @camericanist on Twitter or ltd27@cam.ac.uk. Spread the word, and thanks for listening!
In this Theology Podcast, The Remnant Radio crew interviews Dr. Wayne Grudem on the Charismatic Gifts of the Spirit. Dr. Grudem has a rock solid outlook on the gifts of the Spirit due to his experiences in the academic branches of Christendom and experiences in the charismatic movement. Wayne Grudem is Research Professor of Theology and Biblical Studies at Phoenix Seminary in Arizona. He is a graduate of Harvard (BA), Westminster Seminary-Philadelphia (MDiv, DD), and the University of Cambridge (PhD). He has served as the president of the Evangelical Theological Society (1999), as a member of the Translation Oversight Committee for the English Standard Version of the Bible, and was the General Editor for the ESV Study Bible (2008).From 1989 to 1994 Dr. Grudem and his family attended two different vineyard churches where they witnessed the miraculous gifts of the Spirit used wisely, effectively and powerfully in the lives of the church community. In this episode Joshua Lewis and Dr. Grudem discuss tongues; are they to be practiced publicly or can they be practiced privately? Prophecy; is it binding on the conscious of a congregation? and Apostles; Do they exist or have they ceased with the death of the 12?
Another week and another episode! This week Professor Kate Masur, associate professor of history at Northwestern University, speaks to Cambridge PhD student Jeanine Quené about her paper "State Sovereignty and Migration Before Reconstruction" and its place within her wider work. Professor Masur discusses the relationship between poor laws and both African-American and immigrant populations in the United States, conceptions of region in debates over states rights, and the importance of analysing the Antebellum period in order to better understand the significance of Reconstruction. If that somehow isn't enough for you, we also hear about the history of Ohio, the midwestern anti-slavery movement, and the second best Rock Opera of the 1970's. If you want to know what the first best Rock Opera of the 1970's is, or if you have any questions, suggestions or feedback, get in touch via @camericanist on Twitter or ltd27@cam.ac.uk. Spread the word, and thanks for listening! See you next week!
It's the third episode of Lent 2019, and a fascinating (and timely) conversation to boot! Karine Walther, Associate Professor at Georgetown University in Qatar speaks to recently submitted (congratulations!)Cambridge PhD student Tom Smith about her paper 'Spreading the Faith: American Missionaries, ARAMCO and the Birth of the US-Saudi Special Relationship, 1889-1955'. Professor Walther looks at the work of American Missionaries both on the ground in Arabia and back in the United States, and their role in shaping American approaches to the Middle East. Building on her previous project, which ended its focus 1921, this paper(and the upcoming book)explores the complicated relationship between the formation of the Arabian American Oil Company(ARAMCO)and American missionary activity and ideology. The conversation also touches on (among other things) the meaning and consequences of the US-Saudi 'special relationship', the new perspectives gained by working on the Gulf region from Qatar, and a rather unique archival problem! Feel free to get in touch via @camericanist on Twitter or ltd27@cam.ac.uk if you have any questions, suggestions or feedback for the future. Spread the word, and thanks for listening! See you next week!
The documentary “Cities of Sleep” explores the world of insurgent sleeper communities, as well as the infamous 'sleep mafia' in Delhi. Filmmaker Shaunak Sen and Cambridge PhD candidate Shreyashi Dasgupta join us to discuss the intersection between urban development, changing societies, city life and communities experiencing homelessness.
In this episode we hear from Damian Miller who talks about his journey from Cambridge PhD to Shell's Solar Division to CEO and Founder of Orb Energy. Based in Bangalore, we explore the opportunities and challenges that exist across India for an entrepreneur working in the renewable energy sector.
No birth certificates, no school, no doctors, no registered existence, and abuse at the hands of one of her brothers. Westover’s first book “Educated” describes how she escaped a traumatic childhood to graduate from Brigham Young, Harvard, and Cambridge University with a PhD. Also in this episode, Roxanne discusses some of her favorite memoirs and some of yours! Learn more about your ad choices. Visit megaphone.fm/adchoices
This week on Theology on the Go, Dr. Jonathan Master is joined by Dr. Chad Van Dixhoorn. Dr. VanDixhoorn is Associate Professor of Church History at Reformed Theological Seminary in Washington D.C.. He is a graduate of Westminster Theological Seminary (MDiv, ThM) and the University of Cambridge (PhD). He has taught theology at the University of Nottingham, and has held three fellowships at the University of Cambridge, where he has researched the history and theology of the Westminster assembly and taught on the subject of Puritanism. A former British Academy Postdoctoral Fellow, in 2013 he was elected a Fellow of the Royal Historical Society in recognition of his five-volume work on the Westminster assembly, published by Oxford University Press. Van Dixhoorn also serves as an honorary research fellow in the School of History at the University of East Anglia, UK. Van Dixhoorn has lectured at RTS Washington since 2008 where he teaches church history and practical theology. He has served as Associate Professor of Church history at RTS Washington since 2013, as Chancellor's Professor of Historical Theology for RTS since 2015, and he is a minister in the Orthodox Presbyterian Church. Van Dixhoorn served as a pastor at Cambridge Presbyterian Church (UK) and then at Grace Presbyterian Church (Vienna, VA) for nine years. Today, Jonathan and Chad will the topic of Ordination as it relates to Chad's new book, God's Ambassadors: The Westminster Assembly and the Reformation of the English Pulpit, 1643-1653. So, grab that cup of coffee and meet us at the table! Just for listening, the Alliance of Confessing Evangelicals would like to give you a free resource. If you would like to win a copy of " God's Ambassadors: The Westminster Assembly and the Reformation of the English Pulpit, 1643-1653", go to ReformedResources.org!
This week on Theology on the Go, Dr. Jonathan Master is joined by Dr. Chad Van Dixhoorn. Dr. VanDixhoorn is Associate Professor of Church History at Reformed Theological Seminary in Washington D.C.. He is a graduate of Westminster Theological Seminary (MDiv, ThM) and the University of Cambridge (PhD). He has taught theology at the University of Nottingham, and has held three fellowships at the University of Cambridge, where he has researched the history and theology of the Westminster assembly and taught on the subject of Puritanism. A former British Academy Postdoctoral Fellow, in 2013 he was elected a Fellow of the Royal Historical Society in recognition of his five-volume work on the Westminster assembly, published by Oxford University Press. Van Dixhoorn also serves as an honorary research fellow in the School of History at the University of East Anglia, UK. Van Dixhoorn has lectured at RTS Washington since 2008 where he teaches church history and practical theology. He has served as Associate Professor of Church history at RTS Washington since 2013, as Chancellor's Professor of Historical Theology for RTS since 2015, and he is a minister in the Orthodox Presbyterian Church. Van Dixhoorn served as a pastor at Cambridge Presbyterian Church (UK) and then at Grace Presbyterian Church (Vienna, VA) for nine years. Today, Jonathan and Chad will the topic of preaching as it relates to Chad's new book, God's Ambassadors: The Westminster Assembly and the Reformation of the English Pulpit, 1643-1653. So, grab that cup of coffee and meet us at the table! Just for listening, the Alliance of Confessing Evangelicals would like to give you a free resource. If you would like to win a copy of " God's Ambassadors: The Westminster Assembly and the Reformation of the English Pulpit, 1643-1653", go to ReformedResources.org!
Professor of the History of South Asia at the University of London, Francis Robinson (Trinity College, Cambridge PhD, 1970), is one of the most prominent and influential voices among Western scholars of Muslim history and Islam in India. His research on Islam and Muslim history in South Asia focuses on Muslim responses to modernity, learned and holy families and their textual traditions, and religious and political change. His interest in the Muslim world, however, is not confined to the Indian subcontinent, but spans a much wider geographical region and discursive landscape. The Mellon Islamic Studies Initiative is a three-year project, designed to support the expansion and enhancement of the study of Islam at the University of Chicago. Administered by the Divinity School, the initiative is a cross-divisional collaboration, intended to create a sustained campus conversation about the future of Islamic studies. Funded by a generous grant from the Andrew W. Mellon Foundation, the initiative brings to the University distinguished visiting scholars representing a wide range of topics in Islamic Studies, resulting in a substantive, sustained discussion about both specific topics in Islamic studies and the wider field of study.
Professor Connor Gearty and Professor Roger Masterman spoke about reform of the Human Rights Act 1998 on Friday 26 February 2016 at the Mill Lane Lecture Rooms, as guests on the regular CULS speaker programme. Professor Gearty is a former Cambridge PhD student currently at the London School of Economics, where he holds the positions Professor of Human Rights Law and Director of the Institute of Public Affairs. He has a particular interest in the area of human rights, with extensive experience both of practising and researching in the area. Professor Masterman is a graduate of King’s College London who is currently Head of School in Durham’s Law School. His research interest also lies in the area of human rights and the HRA. This event was kindly Sponsored by Simmons & Simmons. For more information see the CULS website at: https://culs.org.uk
© 2020-2025 Ivy Podcast Discovery LLC
