Tag Archives: Kate Allen

ARPICO November 13, 2018 event in Vancouver (Canada): The Mysterious Dark-Side of the Universe: From Quarks to the Big Bang with Dark Matter

The Society of Italian Researchers and Professionals in Western Canada (ARPICO) is hosting a physics event for those of us who don’t have Phd’s in physics. From an October 24, 2018 ARPICO announcement (received via email),

The second event of ARPICO’s fall 2018 activity will take place on Tuesday, November 13th, 2018 at the Roundhouse Community Centre (Room B). Our speaker will be Dr. Pietro Giampa, a physicist who recently joined the ranks of the TRIUMF laboratories [Canada’s particle accelerator centre and, formerly, Canada’s National Laboratory for Particle and Nuclear Physics] here in Vancouver. Dr. Giampa will give us an intriguing and, importantly, layperson-intelligible overview on the state of our knowledge of the universe especially in regards to so-called dark matter, a chapter of physics that the most complete theoretical model to-date cannot explain. We will learn, among other things, about an ambitious experiment (set up in a Canadian mine!) [emphasis mine] to detect neutrinos, fundamental and very elusive particles of our  cosmos. You can read a summary of Pietro Giampa’s lecture as well as his short professional biography below.

We look forward to seeing everyone there.

The evening agenda is as follows:

  • 6:30 pm – Doors Open for Registration
  • 7:00 pm – Start of the evening event with introductions & lecture by Dr. Pietro Giampa
  • ~8:15 pm – Q & A Period
  • to follow – Mingling & Refreshments until about 9:30 pm

If you have not already done so, please register for the event by visiting the EventBrite link or RSVPing to info@arpico.ca.

Further details are also available at arpico.ca and Eventbrite.

More details from the email announcement,

The Mysterious Dark-Side of the Universe: From Quarks to the Big Bang with Dark Matter

Understanding the true nature of our universe is one of the most fundamental quests of our society. The path of knowledge acquisition in that quest has led us to the hypothesis of “dark matter”, that is, a large proportion of the mass of the universe which appears invisible. In this lecture, with minimal technical language we will journey through the structure and evolution of the universe, from subatomic particles to the big bang, which gave rise to our universe, in an ultimate research to describe the dark side of the universe called dark matter. We will review what we have learnt thus far about dark matter, and get an in-depth look at how scientists are searching for something that can not be seen.

Dr. Pietro Giampa originally completed his undergraduate in physics at Royal Holloway University of London in the UK, where he wrote a thesis on SuperSymmetry Searches with the ATLAS Detector (so LHC related). Following his undergraduate, he completed a Master Degree in particle physics at the same institute where he developed a novel technique for directional detection of neutrons. It was after his master that he moved to Canada to complete his Ph.D at Queen’s University in Particle Astrophysics, working on the DEAP-3600 Experiment with Nobel laureate Prof. Arthur McDonald. In the summer of 2017 he moved to TRIUMF, where he is currently the Otto Hausser Fellow. At TRIUMF he continues his research for new forms of physics, by studying Dark Matter and Ultra-Cold Neutrons.

 


WHEN: Tuesday, November 13th, 2018 at 7:00pm (doors open at 6:30pm)

WHERE: Roundhouse Community Centre, Room B – 181 Roundhouse Mews, Vancouver, BC, V6Z 2W3

RSVP: Please RSVP at EventBrite (https://mysteryofdarkmatter.eventbrite.ca/) or email info@arpico.ca


Tickets are Needed

  • Tickets are FREE, but all individuals are requested to obtain “free-admission” tickets on EventBrite site due to limited seating at the venue. Organizers need accurate registration numbers to manage wait lists and prepare name tags.
  • All ARPICO events are 100% staffed by volunteer organizers and helpers, however, room rental, stationery, and guest refreshments are costs incurred and underwritten by members of ARPICO. Therefore to be fair, all audience participants are asked to donate to the best of their ability at the door or via EventBrite to “help” defray costs of the event.

FAQs

  • Where can I contact the organizer with any questions? info@arpico.ca
  • Do I have to bring my printed ticket to the event? No, you do not. Your name will be on our Registration List at the Check-in Desk.
  • Is my registration/ticket transferrable? If you are unable to attend, another person may use your ticket. Please send us an email at info@arpico.ca of this substitution to correct our audience Registration List and to prepare guest name tags.
  • Can I update my registration information? Yes. If you have any questions, contact us at info@arpico.ca
  • I am having trouble using EventBrite and cannot reserve my ticket(s). Can someone at ARPICO help me with my ticket reservation? Of course, simply send your ticket request to us at info@arpico.ca so we help you.

What are my transport/parking options?

  • Bus/Train: The Canada Line Yaletown Skytrain station is a 1 minute walk from the Roundhouse Community Centre.
  • Parking: Pay Parking is underground at the community centre.  Access is available via Drake Street.

With regard to the Canadian mine and neutrino experiments, I hunted down a little more information (from an October 6, 2015 article by Kate Allen for thestar.com), Note: A link has been removed,

Canadian physicist Arthur B. McDonald has won the Nobel Prize for discoveries about the behaviour of a mysterious solar particle, teased from an experiment buried two kilometres below Sudbury [Ontario].

The Queen’s University professor emeritus was honoured for co-discovering that elusive particles known as neutrinos can change their identity — or “oscillate” — as they travel from the sun. It proved that neutrinos must have mass, a finding that upset the Standard Model of particle physics and opened new avenues for research into the fundamental properties of the universe.

McDonald, 72, shares the prize with Takaaki Kajita, whose Japanese collaboration made the same discovery with slightly different methods.

To measure solar neutrinos, McDonald and a 130-person international team built a massive detector in an operational copper mine southwest of Sudbury. …

To solve this problem, McDonald and his colleagues dreamt up SNO. Deep in an INCO mine (now owned by Vale), protected from cosmic radiation constantly bombarding the earth’s surface, the scientists installed a 12-metre-wide acrylic vessel filled with 1,000 tonnes of ultra-pure heavy water. The vessel was surrounded by a geodesic sphere equipped with 9,456 light sensors. The whole thing was sunk in a 34-metre-high cavity filled with regular water.

When neutrinos hit the heavy water, an event that occurred about 10 times a day, they emitted a flash of light, which researchers could analyze to measure the particles’ properties.

Allen’s article has more details for anyone who might want to read up on neutrinos. Regardless, I’m sure Dr.Giampa is fully prepared to guide the uninitiated into the mysteries of the universe as they pertain to dark matter, neutrinos, and ultra-cold neutrons.

Vector Institute and Canada’s artificial intelligence sector

On the heels of the March 22, 2017 federal budget announcement of $125M for a Pan-Canadian Artificial Intelligence Strategy, the University of Toronto (U of T) has announced the inception of the Vector Institute for Artificial Intelligence in a March 28, 2017 news release by Jennifer Robinson (Note: Links have been removed),

A team of globally renowned researchers at the University of Toronto is driving the planning of a new institute staking Toronto’s and Canada’s claim as the global leader in AI.

Geoffrey Hinton, a University Professor Emeritus in computer science at U of T and vice-president engineering fellow at Google, will serve as the chief scientific adviser of the newly created Vector Institute based in downtown Toronto.

“The University of Toronto has long been considered a global leader in artificial intelligence research,” said U of T President Meric Gertler. “It’s wonderful to see that expertise act as an anchor to bring together researchers, government and private sector actors through the Vector Institute, enabling them to aim even higher in leading advancements in this fast-growing, critical field.”

As part of the Government of Canada’s Pan-Canadian Artificial Intelligence Strategy, Vector will share $125 million in federal funding with fellow institutes in Montreal and Edmonton. All three will conduct research and secure talent to cement Canada’s position as a world leader in AI.

In addition, Vector is expected to receive funding from the Province of Ontario and more than 30 top Canadian and global companies eager to tap this pool of talent to grow their businesses. The institute will also work closely with other Ontario universities with AI talent.

(See my March 24, 2017 posting; scroll down about 25% for the science part, including the Pan-Canadian Artificial Intelligence Strategy of the budget.)

Not obvious in last week’s coverage of the Pan-Canadian Artificial Intelligence Strategy is that the much lauded Hinton has been living in the US and working for Google. These latest announcements (Pan-Canadian AI Strategy and Vector Institute) mean that he’s moving back.

A March 28, 2017 article by Kate Allen for TorontoStar.com provides more details about the Vector Institute, Hinton, and the Canadian ‘brain drain’ as it applies to artificial intelligence, (Note:  A link has been removed)

Toronto will host a new institute devoted to artificial intelligence, a major gambit to bolster a field of research pioneered in Canada but consistently drained of talent by major U.S. technology companies like Google, Facebook and Microsoft.

The Vector Institute, an independent non-profit affiliated with the University of Toronto, will hire about 25 new faculty and research scientists. It will be backed by more than $150 million in public and corporate funding in an unusual hybridization of pure research and business-minded commercial goals.

The province will spend $50 million over five years, while the federal government, which announced a $125-million Pan-Canadian Artificial Intelligence Strategy in last week’s budget, is providing at least $40 million, backers say. More than two dozen companies have committed millions more over 10 years, including $5 million each from sponsors including Google, Air Canada, Loblaws, and Canada’s five biggest banks [Bank of Montreal (BMO). Canadian Imperial Bank of Commerce ({CIBC} President’s Choice Financial},  Royal Bank of Canada (RBC), Scotiabank (Tangerine), Toronto-Dominion Bank (TD Canada Trust)].

The mode of artificial intelligence that the Vector Institute will focus on, deep learning, has seen remarkable results in recent years, particularly in image and speech recognition. Geoffrey Hinton, considered the “godfather” of deep learning for the breakthroughs he made while a professor at U of T, has worked for Google since 2013 in California and Toronto.

Hinton will move back to Canada to lead a research team based at the tech giant’s Toronto offices and act as chief scientific adviser of the new institute.

Researchers trained in Canadian artificial intelligence labs fill the ranks of major technology companies, working on tools like instant language translation, facial recognition, and recommendation services. Academic institutions and startups in Toronto, Waterloo, Montreal and Edmonton boast leaders in the field, but other researchers have left for U.S. universities and corporate labs.

The goals of the Vector Institute are to retain, repatriate and attract AI talent, to create more trained experts, and to feed that expertise into existing Canadian companies and startups.

Hospitals are expected to be a major partner, since health care is an intriguing application for AI. Last month, researchers from Stanford University announced they had trained a deep learning algorithm to identify potentially cancerous skin lesions with accuracy comparable to human dermatologists. The Toronto company Deep Genomics is using deep learning to read genomes and identify mutations that may lead to disease, among other things.

Intelligent algorithms can also be applied to tasks that might seem less virtuous, like reading private data to better target advertising. Zemel [Richard Zemel, the institute’s research director and a professor of computer science at U of T] says the centre is creating an ethics working group [emphasis mine] and maintaining ties with organizations that promote fairness and transparency in machine learning. As for privacy concerns, “that’s something we are well aware of. We don’t have a well-formed policy yet but we will fairly soon.”

The institute’s annual funding pales in comparison to the revenues of the American tech giants, which are measured in tens of billions. The risk the institute’s backers are taking is simply creating an even more robust machine learning PhD mill for the U.S.

“They obviously won’t all stay in Canada, but Toronto industry is very keen to get them,” Hinton said. “I think Trump might help there.” Two researchers on Hinton’s new Toronto-based team are Iranian, one of the countries targeted by U.S. President Donald Trump’s travel bans.

Ethics do seem to be a bit of an afterthought. Presumably the Vector Institute’s ‘ethics working group’ won’t include any regular folks. Is there any thought to what the rest of us think about these developments? As there will also be some collaboration with other proposed AI institutes including ones at the University of Montreal (Université de Montréal) and the University of Alberta (Kate McGillivray’s article coming up shortly mentions them), might the ethics group be centered in either Edmonton or Montreal? Interestingly, two Canadians (Timothy Caulfield at the University of Alberta and Eric Racine at Université de Montréa) testified at the US Commission for the Study of Bioethical Issues Feb. 10 – 11, 2014 meeting, the Brain research, ethics, and nanotechnology. Still speculating here but I imagine Caulfield and/or Racine could be persuaded to extend their expertise in ethics and the human brain to AI and its neural networks.

Getting back to the topic at hand the ‘AI sceneCanada’, Allen’s article is worth reading in its entirety if you have the time.

Kate McGillivray’s March 29, 2017 article for the Canadian Broadcasting Corporation’s (CBC) news online provides more details about the Canadian AI situation and the new strategies,

With artificial intelligence set to transform our world, a new institute is putting Toronto to the front of the line to lead the charge.

The Vector Institute for Artificial Intelligence, made possible by funding from the federal government revealed in the 2017 budget, will move into new digs in the MaRS Discovery District by the end of the year.

Vector’s funding comes partially from a $125 million investment announced in last Wednesday’s federal budget to launch a pan-Canadian artificial intelligence strategy, with similar institutes being established in Montreal and Edmonton.

“[A.I.] cuts across pretty well every sector of the economy,” said Dr. Alan Bernstein, CEO and president of the Canadian Institute for Advanced Research, the organization tasked with administering the federal program.

“Silicon Valley and England and other places really jumped on it, so we kind of lost the lead a little bit. I think the Canadian federal government has now realized that,” he said.

Stopping up the brain drain

Critical to the strategy’s success is building a homegrown base of A.I. experts and innovators — a problem in the last decade, despite pioneering work on so-called “Deep Learning” by Canadian scholars such as Yoshua Bengio and Geoffrey Hinton, a former University of Toronto professor who will now serve as Vector’s chief scientific advisor.

With few university faculty positions in Canada and with many innovative companies headquartered elsewhere, it has been tough to keep the few graduates specializing in A.I. in town.

“We were paying to educate people and shipping them south,” explained Ed Clark, chair of the Vector Institute and business advisor to Ontario Premier Kathleen Wynne.

The existence of that “fantastic science” will lean heavily on how much buy-in Vector and Canada’s other two A.I. centres get.

Toronto’s portion of the $125 million is a “great start,” said Bernstein, but taken alone, “it’s not enough money.”

“My estimate of the right amount of money to make a difference is a half a billion or so, and I think we will get there,” he said.

Jessica Murphy’s March 29, 2017 article for the British Broadcasting Corporation’s (BBC) news online offers some intriguing detail about the Canadian AI scene,

Canadian researchers have been behind some recent major breakthroughs in artificial intelligence. Now, the country is betting on becoming a big player in one of the hottest fields in technology, with help from the likes of Google and RBC [Royal Bank of Canada].

In an unassuming building on the University of Toronto’s downtown campus, Geoff Hinton laboured for years on the “lunatic fringe” of academia and artificial intelligence, pursuing research in an area of AI called neural networks.

Also known as “deep learning”, neural networks are computer programs that learn in similar way to human brains. The field showed early promise in the 1980s, but the tech sector turned its attention to other AI methods after that promise seemed slow to develop.

“The approaches that I thought were silly were in the ascendancy and the approach that I thought was the right approach was regarded as silly,” says the British-born [emphasis mine] professor, who splits his time between the university and Google, where he is a vice-president of engineering fellow.

Neural networks are used by the likes of Netflix to recommend what you should binge watch and smartphones with voice assistance tools. Google DeepMind’s AlphaGo AI used them to win against a human in the ancient game of Go in 2016.

Foteini Agrafioti, who heads up the new RBC Research in Machine Learning lab at the University of Toronto, said those recent innovations made AI attractive to researchers and the tech industry.

“Anything that’s powering Google’s engines right now is powered by deep learning,” she says.

Developments in the field helped jumpstart innovation and paved the way for the technology’s commercialisation. They also captured the attention of Google, IBM and Microsoft, and kicked off a hiring race in the field.

The renewed focus on neural networks has boosted the careers of early Canadian AI machine learning pioneers like Hinton, the University of Montreal’s Yoshua Bengio, and University of Alberta’s Richard Sutton.

Money from big tech is coming north, along with investments by domestic corporations like banking multinational RBC and auto parts giant Magna, and millions of dollars in government funding.

Former banking executive Ed Clark will head the institute, and says the goal is to make Toronto, which has the largest concentration of AI-related industries in Canada, one of the top five places in the world for AI innovation and business.

The founders also want it to serve as a magnet and retention tool for top talent aggressively head-hunted by US firms.

Clark says they want to “wake up” Canadian industry to the possibilities of AI, which is expected to have a massive impact on fields like healthcare, banking, manufacturing and transportation.

Google invested C$4.5m (US$3.4m/£2.7m) last November [2016] in the University of Montreal’s Montreal Institute for Learning Algorithms.

Microsoft is funding a Montreal startup, Element AI. The Seattle-based company also announced it would acquire Montreal-based Maluuba and help fund AI research at the University of Montreal and McGill University.

Thomson Reuters and General Motors both recently moved AI labs to Toronto.

RBC is also investing in the future of AI in Canada, including opening a machine learning lab headed by Agrafioti, co-funding a program to bring global AI talent and entrepreneurs to Toronto, and collaborating with Sutton and the University of Alberta’s Machine Intelligence Institute.

Canadian tech also sees the travel uncertainty created by the Trump administration in the US as making Canada more attractive to foreign talent. (One of Clark’s the selling points is that Toronto as an “open and diverse” city).

This may reverse the ‘brain drain’ but it appears Canada’s role as a ‘branch plant economy’ for foreign (usually US) companies could become an important discussion once more. From the ‘Foreign ownership of companies of Canada’ Wikipedia entry (Note: Links have been removed),

Historically, foreign ownership was a political issue in Canada in the late 1960s and early 1970s, when it was believed by some that U.S. investment had reached new heights (though its levels had actually remained stable for decades), and then in the 1980s, during debates over the Free Trade Agreement.

But the situation has changed, since in the interim period Canada itself became a major investor and owner of foreign corporations. Since the 1980s, Canada’s levels of investment and ownership in foreign companies have been larger than foreign investment and ownership in Canada. In some smaller countries, such as Montenegro, Canadian investment is sizable enough to make up a major portion of the economy. In Northern Ireland, for example, Canada is the largest foreign investor. By becoming foreign owners themselves, Canadians have become far less politically concerned about investment within Canada.

Of note is that Canada’s largest companies by value, and largest employers, tend to be foreign-owned in a way that is more typical of a developing nation than a G8 member. The best example is the automotive sector, one of Canada’s most important industries. It is dominated by American, German, and Japanese giants. Although this situation is not unique to Canada in the global context, it is unique among G-8 nations, and many other relatively small nations also have national automotive companies.

It’s interesting to note that sometimes Canadian companies are the big investors but that doesn’t change our basic position. And, as I’ve noted in other postings (including the March 24, 2017 posting), these government investments in science and technology won’t necessarily lead to a move away from our ‘branch plant economy’ towards an innovative Canada.

You can find out more about the Vector Institute for Artificial Intelligence here.

BTW, I noted that reference to Hinton as ‘British-born’ in the BBC article. He was educated in the UK and subsidized by UK taxpayers (from his Wikipedia entry; Note: Links have been removed),

Hinton was educated at King’s College, Cambridge graduating in 1970, with a Bachelor of Arts in experimental psychology.[1] He continued his study at the University of Edinburgh where he was awarded a PhD in artificial intelligence in 1977 for research supervised by H. Christopher Longuet-Higgins.[3][12]

It seems Canadians are not the only ones to experience  ‘brain drains’.

Finally, I wrote at length about a recent initiative taking place between the University of British Columbia (Vancouver, Canada) and the University of Washington (Seattle, Washington), the Cascadia Urban Analytics Cooperative in a Feb. 28, 2017 posting noting that the initiative is being funded by Microsoft to the tune $1M and is part of a larger cooperative effort between the province of British Columbia and the state of Washington. Artificial intelligence is not the only area where US technology companies are hedging their bets (against Trump’s administration which seems determined to terrify people from crossing US borders) by investing in Canada.

For anyone interested in a little more information about AI in the US and China, there’s today’s (March 31, 2017)earlier posting: China, US, and the race for artificial intelligence research domination.

Happy Thanksgiving! Oct. 12, 2015, my last mention of science debates in the Canadian 2015 federal election, and my 4001st posting

Two things for me to celebrate today: Thanksgiving (in Canada, we celebrate on the 2nd Monday of October) and my 4001st posting (this one).

Science for the people

Plus, there’s much to celebrate about science discussion during the 2015 Canadian federal election. I stumbled across Science for the People, which is a weekly radio show based in Canada (from the About page),

Science for the People is a syndicated radio show and podcast that broadcasts weekly across North America. We are a long-format interview show that explores the connections between science, popular culture, history, and public policy, to help listeners understand the evidence and arguments behind what’s in the news and on the shelves.

Every week, our hosts sit down with science researchers, writers, authors, journalists, and experts to discuss science from the past, the science that affects our lives today, and how science might change our future.

Contact

If you have comments, show ideas, or questions about Science for the People, email feedback@scienceforthepeople.ca.

Theme Song

Our theme song music comes from the song “Binary Consequence” by the band Fractal Pattern. You can find the full version of it on their album No Hope But Mt. Hope.

License & Copyright

All Science for the People episodes are under the Creative Commons license. You are free to distribute unedited versions of the episodes for non-commercial purposes. If you would like to edit the episode please contact us.

Episode #338 (2015 Canadian federal election and science) was originally broadcast on Oct. 9,  2015 and features,

This week, we’re talking about politics, and the prospects for pro-science politicians, parties and voters in Canada. We’ll spend the hour with panelists Katie Gibbs, Executive Director of Evidence for Democracy, science librarian John Dupuis, journalist Mike De Souza, and former Canadian government scientist Steven Campana, for an in-depth discussion about the treatment of science by the current Canadian government, and what’s at stake for science in the upcoming federal election.

The podcast is approximately one hour long and Désirée Schell (sp?) hosts/moderates an interesting discussion where one of the participants notes that issues about science and science muzzles predate Harper. The speaker dates the issues back to the Chrétien/Martin years. Note: Jean Chrétien was Prime Minister from 1993 to 2003 and Paul Martin, his successor, was Prime Minister from 2003 to 2006 when he was succeeded by current Prime Minister, Stephen Harper. (I attended a Philosophers’ Cafe event on Oct. 1, 2015 where the moderator dated the issues back to the Mulroney years. Note: Brian Mulroney was Prime Minister from 1984 – 1993.) So, it’s been 10, 20, or 30 years depending on your viewpoint and when you started noticing (assuming you’re of an age to have noticed something happening 30 years ago).

The participants also spent some time discussing why Canadians would care about science. Interestingly, one of the speakers claimed the current Syrian refugee crisis has its roots in climate change, a science issue, and he noted the US Dept. of Defense views climate change as a threat multiplier. For anyone who doesn’t know, the US Dept. of Defense funds a lot of science research.

It’s a far ranging discussion, which doesn’t really touch on science as an election issue until some 40 mins. into the podcast.

One day later on Oct. 10, 2015 (where you’ll find the podcast), the Canadian Broadcasting Corporation’s Quirks & Quarks radio programme broadcast and made available its podcast of a 2015 Canadian election science debate/panel,

There is just over a week to go before Canadians head to the polls to elect a new government. But one topic that hasn’t received much attention on the campaign trail is science.

So we thought we’d gather together candidates from each of the major federal parties to talk about science and environmental issues in this election.

We asked each of them where they and their parties stood on federal funding of science; basic vs. applied research; the controversy around federal scientists being permitted to speak about their research, and how to cut greenhouse gas emissions while protecting jobs and the economy.

Our panel of candidates were:

– Lynne Quarmby, The Green Party candidate [and Green Party Science critic] in Burnaby North-Seymour, and  professor and Chair of the Department of Molecular Biology and Biochemistry at Simon Fraser University

– Gary Goodyear, Conservative Party candidate in Cambridge, Ontario, and former Minister of State for Science and Technology

– Marc Garneau, Liberal Party candidate in NDG-Westmount, and a former Canadian astronaut

– Megan Leslie, NDP candidate in Halifax and her party’s environment critic

It was a crackling debate. Gary Goodyear was the biggest surprise in that he was quite vigorous and informed in his defence of the government’s track record. Unfortunately, he was also quite patronizing.

The others didn’t seem to have as much information and data at their fingertips. Goodyear quote OECD reports of Canada doing well in the sciences and they didn’t have any statistics of their own to provide a counter argument. Quarmby, Garneau, and Leslie did at one time or another come back strongly on one point or another but none of them seriously damaged Goodyear’s defense. I can’t help wondering if Kennedy Stewart, NDP science critic, or Laurin Liu, NDP deputy science critic, and Ted Hsu, Liberal science critic might have been better choices for this debate.

The Quirks & Quarks debate was approximately 40 or 45 mins. with the remainder of the broadcast devoted to Canadian 2015 Nobel Prize winner in Physics, Arthur B. McDonald (Takaaki Kajita of the University of Tokyo shared the prize) for the discovery of neutrino oscillations, i.e., neutrinos have mass.

Kate Allen writing an Oct. 9, 2015 article for thestar.com got a preview of the pretaped debate and excerpted a few of the exchanges,

On science funding

Gary Goodyear: Currently, we spend more than twice what the Liberals spent in their last year. We have not cut science, and in fact our science budget this year is over $10 billion. But the strategy is rather simple. We are very strong in Canada on basic research. Where we fall down sometimes as compared to other countries is moving the knowledge that we discover in our laboratories out of the laboratory onto our factory floors where we can create jobs, and then off to the hospitals and living rooms of the world — which is how we make that home run. No longer is publishing an article the home run, as it once was.

Lynne Quarmby: I would take issue with the statement that science funding is robust in this country … The fact is that basic scientific research is at starvation levels. Truly fundamental research, without an obvious immediate application, is starving. And that is the research that is feeding the creativity — it’s the source of new ideas, and new understanding about the world, that ultimately feeds innovation.

If you’re looking for a good representation of the discussion and you don’t have time to listen to the podcast, Allen’s article is a good choice.

Finally, Research2Reality, a science outreach and communication project I profiled earlier in 2015 has produced an Oct. 9, 2015 election blog posting by Karyn Ho, which in addition to the usual ‘science is dying in Canada’ talk includes links to more information and to the official party platforms, as well as, an exhortation to get out there and vote.

Something seems to be in the air as voter turnout for the advance polls is somewhere from 24% to 34% higher than usual.

Happy Thanksgiving!

ETA Oct. 14, 2015:  There’s been some commentary about the Quirks & Quarks debate elsewhere. First, there’s David Bruggeman’s Oct. 13, 2015 post on his Pasco Phronesis blog (Note: Links have been removed),

Chalk it up to being a Yank who doesn’t give Canadian science policy his full attention, but one thing (among several) I learned from the recent Canadian cross-party science debate concerns open access policy.

As I haven’t posted anything on Canadian open access policies since 2010, clearly I need to catch up.  I am assuming Goodyear is referring to the Tri-Agency Open Access Policy, introduced in February by his successor as Minister of State for Science and Technology.  It applies to all grants issued from May 1, 2015 and forward (unless the work was already applicable to preexisting government open access policy), and applies most of the open access policy of the Canadian Institutes for Health Research (CIHR) to the other major granting agencies (the Natural Sciences and Engineering Research Council of Canada and the Social Sciences and Humanities Research Council of Canada).

The policy establishes that grantees must make research articles coming from their grants available free to the public within 12 months of publication. …

Then, there’s Michael Rennie, an Assistant Professor at Lakehead University and a former Canadian government scientist whose Oct. 14, 2015 posting on his unmuzzled science blog notes this,

This [Gary Goodyear’s debate presentation] pissed me off so much it made me come out of retirement on this blog.

Listening to Gary Goodyear (Conservative representative, and MP in Cambridge and former Minister of State for Science and Technology), I became furious with the level of misinformation given. …

Rennie went ahead and Storified the twitter responses to the Goodyear’s comments (Note: Links have been removed),

Here’s my Storify of tweets that help clarify a good deal of the misinformation Gary Goodyear presented during the debate, as well as some rebuttals from folks who are in the know: I was a Canadian Government Scientist with DFO [Department of Fisheries and Oceans] from 2010-2014, and was a Research Scientist at the Experimental Lakes Area [ELA], who heard about the announcement regarding the intention of the government to close the facility first-hand on the telephone at ELA.

Goodyear: “I was involved in that decision. With respect to the Experimental Lakes, we never said we would shut it down. We said that we wanted to transfer it to a facility that was better suited to operate it. And that’s exactly what we’ve done. Right now, DFO is up there undertaking some significant remediation effects to clean up those lakes that are contaminated by the science that’s been going on up there. We all hope these lakes will recover soon so that science and experimentation can continue but not under the federal envelope. So it’s secure and it’s misleading to suggest that we were trying to stop science there.”
There’s so many inaccuracies in here, it’s hard to know where to start. First, Goodyear’s assertion that there are “contaminated lakes” at ELA is nonsense. Experiments conducted there are done using environmentally-relevant exposures; in other words, what you’d see going on somewhere else on earth, and in every case, each lake has recovered to it’s natural state, simply by stopping the experiment.

Second, there ARE experiments going on at ELA currently, many of which I am involved in; the many tours, classes and researchers on site this year can attest to this.

Third, this “cleanup” that is ongoing is to clean up all the crap that was left behind by DFO staff during 40 years of experiments- wood debris, old gear, concrete, basically junk that was left on the shorelines of lakes. No “lake remediation” to speak of.

Fourth, the conservative government DID stop science at ELA- no new experiments were permitted to begin, even ones that were already funded and on the books like the nanosilver experiment which was halted until 2014, jeopardizing the futures the futures of many students involved. Only basic monitoring occurred between 2012-2014.

Last, the current government deserves very little credit for the transfer of ELA to another operator; the successful move was conceived and implemented largely by other people and organizations, and the attempts made by the government to try and move the facility to a university were met with incredulity by the deans and vice presidents invited to the discussion.

There’s a lot more and I strongly recommend reading Rennie’s Storify piece.

It was unfortunate that the representatives from the other parties were not able to seriously question Goodyear’s points.

Perhaps next time (fingers crossed), the representatives from the various parties will be better prepared. I’d also like to suggest that there be some commentary from experts afterwards in the same way the leaders’ debates are followed by commentary. And while I’m dreaming, maybe there could be an opportunity for phone-in or Twitter questions.